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REVIEW article

Front. Hum. Neurosci., 30 July 2013
Sec. Brain Health and Clinical Neuroscience
Volume 7 - 2013 | https://doi.org/10.3389/fnhum.2013.00428

Sensorimotor modulation of mood and depression: in search of an optimal mode of stimulation

  • Psychobiology Laboratory, Department of Psychology, Bogazici University, Istanbul, Turkey

Depression involves a dysfunction in an affective fronto-limbic circuitry including the prefrontal cortices, several limbic structures including the cingulate cortex, the amygdala, and the hippocampus as well as the basal ganglia. A major emphasis of research on the etiology and treatment of mood disorders has been to assess the impact of centrally generated (top-down) processes impacting the affective fronto-limbic circuitry. The present review shows that peripheral (bottom-up) unipolar stimulation via the visual and the auditory modalities as well as by physical exercise modulates mood and depressive symptoms in humans and animals and activates the same central affective neurocircuitry involved in depression. It is proposed that the amygdala serves as a gateway by articulating the mood regulatory sensorimotor stimulation with the central affective circuitry by emotionally labeling and mediating the storage of such emotional events in long-term memory. Since both amelioration and aggravation of mood is shown to be possible by unipolar stimulation, the review suggests that a psychophysical assessment of mood modulation by multimodal stimulation may uncover mood ameliorative synergisms and serve as adjunctive treatment for depression. Thus, the integrative review not only emphasizes the relevance of investigating the optimal levels of mood regulatory sensorimotor stimulation, but also provides a conceptual springboard for related future research.

Introduction

Major depression, second only to hypertension as the most frequent illness in the world and projected to be the leading disease burden by 2020 (Lopez and Murray, 1998) has debilitating personal and socioeconomic consequences. Despite a long history of clinical investigations and basic research, the neurobiological basis of mood disorders is still not fully understood and successful outcome of treatment in the form of psychotherapy and/or pharmacotherapeutics is far from certain (Rush and Thase, 1977; Kessler et al., 2003; Trivedi et al., 2006b).

Research on the etiology and treatment of depression has focused on complex affective and cognitive factors that figure in mood disorders. This “top-down” approach is supported by monoaminergic pharmacotherapy of depression based on improving a dysfunctional central mood neurocircuitry comprising the frontal cortices, the cingulate gyrus, the amygdala, the hippocampus, hypothalamus, and the basal ganglia (Ongur et al., 1998; Heimer, 2003; Heimer and Van Hoesen, 2006; Drevets et al., 2008; Koenigs and Grafman, 2009; Price and Drevets, 2010; Pandya et al., 2012). While this approach has produced new insights into and therapeutic tools for mood disorders, a recent integrative review called attention to the fact that a diametrically opposite perspective, namely a “bottom-up” approach, that begins with peripheral sensorimotor stimulation can also be informative in understanding the factors that modulate mood, precipitate depression and also provide new insights into therapeutic techniques (Canbeyli, 2010). Briefly, the review presented evidence that sensorimotor stimulation through unimodal sensory or motor channels is capable of modulating mood and depressive symptoms. Moreover, it was shown that the peripheral stimulation impacted the constituents of the affective fronto-limbic neurocircuitry implicated in mood regulation and depression by studies based on the top-down approach. The present paper aims to expound on the bottom-up approach for several reasons. First, it will be shown selectively in the domains of vision, audition, and physical exercise that sensorimotor stimulation is capable of both improving and aggravating mood and depressive symptoms and does so by activating the same mood neurocircuitry implicated in depression. Second, it will be argued that the amygdala plays a pivotal role in the reception, emotional evaluation, and storage of the mood regulatory sensorimotor stimulation. Finally, it will be proposed that a methodical investigation into the combination of multimodal sensorimotor stimulation can provide new insights into mood regulation and for new therapeutic techniques. The overarching aim of the present paper is to draw attention to the possibility that there may be an optimal level of sensorimotor stimulation for maintenance of a positive mood. As will be shown below, excessive or deficient unimodal sensorimotor stimulation can lead to dysphoric mood and possibly depression. On the other hand, sensorimotor stimulation can also have positive effect on mood depending on the quality, intensity, and duration of stimulation. It is therefore important to undertake parametric and systematic investigation of the impact of combinations of sensorimotor stimulation to explore the potential of an optimal psychophysical level of stimulation for psychological well-being.

Sensorimotor Modulation of Mood and Mood Disorders

In real life, humans and animals face a stream of sensorimotor stimulation with considerable qualitative and quantitative variations. This bombardment does not normally result in any lasting psychological ill effects. However, it is a fact of life that continuous stress and excessive stimulation can have transient and possibly lasting psychopathological effects. In fact, prolonged stress is considered a major source of psychopathology both in humans and animals (Tafet and Bernardini, 2003; McEwen, 2005). Psychopathology inducing stress is often a complex array of events and sensorimotor activation that does not lend itself to a precise analysis of the critical detrimental factors. Similarly, in treatment of mood disorders in humans and in animal models, it is difficult to assess the ameliorative impact of components of therapy or antidepressant treatment. In contrast, the present section provides evidence for the visual and auditory modalities and physical exercise that unipolar sensorimotor activation is capable of modulating mood and depressive symptoms.

Light Modulates Mood

The mood modulatory nature of visual input is shown by the fact that photic stimulation can alleviate, whereas impaired vision or inadequate light reception can aggravate depressive symptoms (Espiritu et al., 1994; Jean-Louis et al., 2005).

Light exposure improves mood and alleviates depressive symptoms

Exposure to artificial bright light in the morning or early evening successfully alleviates symptoms of both seasonal (Goodwin et al., 1982; Lewy et al., 1982, 1987; Wehr and Wirz-Justice, 1982; Rosenthal et al., 1984; Rosenthal and Wehr, 1992; Oren and Terman, 1998) and non-seasonal depression (Mackert et al., 1991; Even et al., 2008). Similar ameliorative effects of light exposure have been reported in non-clinical populations. Thus, exposure to artificial bright light ameliorates mood in subjects with or without winter-related mood symptoms (Partonen and Lönnqvist, 2000). Bright-light exposure for 8 weeks paired with exercise significantly reduces depressive symptoms in non-clinical subjects compared to exercise alone under normal ambient illumination (Leppamaki et al., 2002).

Several studies indicate that prolonged exposure to light by means of long photoperiods has ameliorative effect on depressive symptoms in animals. A month-long exposure of male rats to a long photoperiod (15 h L:9 h D instead of the usual 12 h L:12 h D daily light/dark cycle) has an antidepressant effect (Molina-Hernandez and Tellez-Alcantara, 2000). There are also reports that a much shorter exposure to light exposure can have antidepressant effect in rats. Three studies using behavioral despair model of depression indicated antidepressant effect of photic stimulation in the dark phase of an 12 h L/12 h D cycle when rats were exposed to a light pulse of 12-h (Yilmaz et al., 2004), 30-min (Schulz et al., 2008), or even 10 min duration (Iyilikci et al., 2009). Quality of photic stimulation can also be a factor in modulating mood. Clinical practice (Brainard et al., 1990; Glickman et al., 2006) as well as animal research (Iyilikci et al., 2009) indicates that the wavelength of light exposure may also be critical in that blue but not red light is effective in treating depression in humans and in providing antidepressant effect in forced swimming in rats.

Inadequate or inappropriate light exposure aggravates depressive symptoms

Reduced illumination due to short days in the winter is a globally experienced source of lowered mood and exacerbated depressive symptoms as in the case of Seasonal Affective Disorder (SAD; Lewy et al., 1982, 1987; Wehr and Wirz-Justice, 1982). Depression is more likely in areas with poor sunlight exposure throughout the year (Booker et al., 1991). On an individual basis, patients with compromised photoreception due to ophthalmic dysfunctions show more depressive symptoms (Rovner and Shmuely-Dulitzki, 1997; Shmuely-Dulitzki and Rovner, 1997; Rovner et al., 2002).

Reduced light exposure due to artificially shortened photoperiods aggravates depressive symptoms in animals as well. Depression-like behavior was induced by short light periods in diurnal animals such as the sand rats (Einat et al., 2006) and the unstriped Nile grass rat (Ashkenazy-Frolinger et al., 2010) and by prolonged total light deprivation in the Mongolian gerbil (Lau et al., 2011). Importantly, depression induced by a 3-week short day in sand rats was alleviated by daily bright-light exposure (Ashkenazy et al., 2009). Depression-like behavior has been observed in hamsters exposed to short photoperiods in the nocturnal Siberian hamsters (Prendergast and Nelson, 2005; Pyter and Nelson, 2006; Workman et al., 2011). There is also indication that chronic light exposure in the dark phase an L:D cycle can have depressogenic effect. Dim light exposure in the dark phase of an L/D cycle induced depressive behavior in female mice compared to controls exposed to total darkness in the dark phase of the L/D cycle (Bedrosian et al., 2011). Similarly, mice exposed to constant light throughout the day (LL schedule) displayed sucrose anhedonia and depression-like behavior in a forced swim test (Fonken et al., 2009). A recent study indicated that depression-like behavior was induced by an aberrant light schedule (3.5 h L:3.5 h D cycle) that did not disrupt the circadian rhythms of mice (LeGates et al., 2012).

Auditory Stimulation Modulates Mood and Depressive Symptoms

For humans, auditory stimulation is an effective means of regulating emotion and mood. Moreover, humans are more likely to assess emotions by a combination of visual feedback and auditory perception than either alone (Bouhuys et al., 1995; de Gelder et al., 1999a,b).

Auditory stimulation can improve mood and depressive symptoms

A variety of auditory stimulation ranging from musical compositions to noise can modulate mood. Listening to different types of music can alleviate depressive or anxious mood (Clark, 1983; Pignatiello et al., 1986; Albersnagel, 1988; Bouhuys et al., 1995; Smith and Noon, 1998; Gagner-Tjellesen et al., 2001; Thompson et al., 2001; Tornek et al., 2003; Hsu and Lai, 2004; Gold et al., 2009). Results of two studies attest to the wide range of auditory stimulation that can affect mood. Lane et al. (1998) reported that binaural auditory beats induced by presenting two tones differing slightly in frequency to the two ears modulate mood and psychomotor performance. Exposure to musically enhanced birdsong early in the morning induces positive mood and lowers depressive symptoms (Goel and Etwaroo, 2006).

Auditory stimulation or hearing impairment can aggravate depressive symptoms

Listening to music can induce depressive or anxious mood depending on the nature of the composition (Pignatiello et al., 1986; Smith and Noon, 1998; Thompson et al., 2001; Abbott, 2002; Kemper and Danhauer, 2005). Support for the mood regulatory effect of auditory stimulation is provided by several studies that show a positive correlation between problems of hearing and depressive symptoms. Depression is more prevalent in patients with inner ear disorders than in healthy controls (Berrios et al., 1988) and, in general, an increased rate of depressive symptoms is observed in people with hearing impairment or total deafness (Magilvy, 1985; Leigh et al., 1989; Watt and Davis, 1991; Steinberg et al., 1998; Leigh and Anthony-Tolbert, 2001; Zazove et al., 2006). Furthermore, tinnitus, a hearing disorder, is significantly correlated with depression (Stephens and Halam, 1985; Sullivan et al., 1988; Budd and Pugh, 1995; Langguth et al., 2011).

Corroborating findings with humans, hearing deprivation has been shown to have depressive effect in rats. Temporary induction of deafness in rats results in depression as measured by increased immobility in forced swim tests; the negative effect was abolished when hearing was restored (Drago et al., 1996). A few studies using animal models of depression report depressant effects of auditory stimulation. Exposing rats to white noise in a novel environment for 30 min significantly reduced struggling behavior in a swim test compared to controls (Weiss et al., 2000). Similarly, high intensity sinusoidal tone stimulation induced depression-like symptoms in rats in forced swim tests (Bulduk and Canbeyli, 2004). More recently, a study indicated that exposing rats to daily loud noise for 15 days resulted in anxiety and depression-like behavior as measured by tail suspension test (Naqvi et al., 2012).

Physical Exercise Modulates Mood and Depressive Symptoms

The motor system has a dual relationship with the central mood regulatory network; it not only serves as the substrate for psychomotor symptoms of depression, but can also affect the circuitry that is responsible for mood by means of its direct and indirect bidirectional connectivity with the frontal cortices and the amygdala (Marchand and Yurgelun-Todd, 2010, 2012; Marchand et al., 2012). Moreover, physical activity can indirectly contribute to regulation of mood by providing multisensory stimulation arising out of ambulation. Psychomotor disturbances in depression either as an increase in activity or more frequently as psychomotor retardation are recognized by the DSM-IV classification as primary feature of depressive disorders. Stress, negative mood, and depression can alter psychomotor activity, usually in the direction of reduced mobility in humans (Weiss et al., 1974; Kupfer et al., 1975; Szabadi et al., 1976; Farmer et al., 1988; Dunn et al., 2001) and animals (Walsh and Cummins, 1976; Katz et al., 1981). Conversely, emotions can modulate postural adjustments (Hillman et al., 2004; Horslen and Carpenter, 2011), gait (Naugle et al., 2011), and physical effort (Schmidt et al., 2009).

Exercise improves mood and alleviates depression

Amelioration of depressive symptoms have been reported by several weeks of physical activity such as running or outdoor walking (Morris et al., 1990), aerobics (Martinsen et al., 1985; Freemont and Craighead, 1987; Dimeo et al., 2001), and weight training (Doyne et al., 1983). Animal studies provide further support for the ameliorative effect of physical exercise on depressive symptoms induced by stressful situations (Dey, 1994; Solberg et al., 1999; Greenwood et al., 2003; Hoomisen et al., 2003; Bjornebekk et al., 2005; Zheng et al., 2006; Duman et al., 2008; Greenwood and Fleshner, 2008).

Ameliorative effect of exercise in depressed patients was found to be comparable to psychotherapy or treatment with medication observable even in a 1-year follow-up evaluation (Klein et al., 1985). A 4-month regimen of aerobic exercise by MDD patients was as effective in improving depressive symptoms as sertraline treatment, resulting in lower rates of relapse in a 10-month follow-up study (Babyak et al., 2000). Similarly, a 4-month-long exercise program for patients with major depression resulted in remission rates comparable to a group receiving sertraline and higher than that of an untreated placebo group (Blumenthal et al., 2007).

Lack of exercise or exercise withdrawal induces depressive symptoms

An inverse relationship exists between activity and depression such that exercise even in low doses or for short durations reduces likelihood of depression (Teychenne et al., 2008; Helmich et al., 2010) whereas lack of activity constitutes a risk factor for depressive symptoms (Farmer et al., 1988). Moreover, individuals with sedentary life styles display more depressive symptoms than those who regularly engage in physical activity (Dunn et al., 2001, 2005; Goodwin, 2003) and decreased physical activity over the years increases the likelihood of depressive symptoms among the elderly (Lampinen et al., 2000; Rovner et al., 2002). In general, a decrease in general level of physical activity over time is a risk factor for depression, while increasing activity over the years protects against depression (Farmer et al., 1988; Goodwin, 2003).

Results of experimentally controlled withdrawal of exercise in healthy people who regularly exercise also point to the negative effect of reduced physical activity on mood and depressive symptoms. For instance, negative mood and depressive symptoms emerge in the first week of exercise withdrawal in individuals asked to forego their regular exercise regimen for 2 weeks (Berlin et al., 2006). Similarly, abstaining from running in the middle 2 weeks of a 6-week exercise in healthy individuals results in more symptoms of depression in both weeks compared to those allowed to run throughout the 6-week period. Importantly, returning to regular running alleviated the negative effects in the last 2 weeks of the study (Morris et al., 1990).

Neuroanatomical Basis of Sensorimotor Stimulation

Evidence garnered from several lines of research including neuroimaging studies, deep brain stimulation, and research with animal models indicate that mood disorders including depression are not due to a focal pathology but arise out of dysfunction in an affective neurocircuitry consisting of several cortical and subcortical structures. The main constituents of this fronto-limbic neurocircuitry are the ventromedial and dorsal prefrontal cortices (VMPFC and DPFC), anterior cingulate cortex (ACC), amygdala, hypothalamus, hippocampus, nucleus accumbens, and the basal ganglia (Mayberg, 1997; Soares and Mann, 1997; Ongur et al., 1998; Tekin and Cummings, 2002; Heimer, 2003; Phillips et al., 2003a,b; Heimer and Van Hoesen, 2006; Drevets et al., 2008; Koenigs and Grafman, 2009; Lorenzetti et al., 2009; Preskorn and Drevets, 2009).

Vision

Visual inputs can modulate mood by a cascade of processing that starts with the visual cortices, continuing with the ventral stream that projects to the fronto-limbic structures, namely the orbitofrontal cortex, the ventromedial prefrontal cortex, the cingulate gyrus, the hippocampus, and the amygdala. Additionally, light exposure can modulate mood via the suprachiasmatic nucleus (SCN), the master oscillator in the basal hypothalamus. SCN has connections with constituents of the fronto-limbic circuitry involved in mood regulation such as the amygdala, the bed nucleus of the stria terminalis, shown to be involved in depression in rats (Schulz and Canbeyli, 2001; Pezuk et al., 2006, 2008), the paraventricular nuclei of the hypothalamus and the thalamus as well as with the frontal cortical areas (Watts and Swanson, 1987; Watts et al., 1987; Vrang et al., 1995). Potential involvement of the SCN in affective behavior is shown by reports that bilateral electrolytic lesions of the SCN in rats (Tataroglu et al., 2004) and chemical lesions in mice (Li et al., 2009) prevent depression.

Audition

Audiogenic stress affects the hypothalamic-pituitary-adrenal (HPA) axis (Irwin et al., 1989; Burrow et al., 2005; Midzyanovskaya et al., 2006) and auditory stimulation activates subcortical structures involved in mood, particularly the amygdala and the hippocampus (Singh et al., 1990a,b; Britton et al., 1992; Nahm et al., 1993; Romanski and LeDoux, 1993; Day et al., 2005; Mitterschiffthaler et al., 2007). Human neuroimaging studies indicate that pleasant music activates amygdala and the ventral striatum as well as the orbitofrontal and ventral medial prefrontal cortices (MPF) (Blood and Zatorre, 2001).

Physical Exercise

The basal ganglia and the thalamus form widespread connections with the ventromedial, orbitofrontal, and dorsolateral frontal cortices and the cingulate cortex by means of parallel but interacting circuits (the basal ganglia/thalamocortical circuits; Alexander and Crutcher, 1990). Subcortically, the basal ganglia and thalamus interact with several mood regulatory limbic structures, including the nucleus accumbens, ventral striatum, amygdala, raphe nuclei, and hippocampus (Powell and Lehman, 1976; Russchen and Price, 1985; Berchtold et al., 2001, 2002; Heimer, 2003; Heimer and Van Hoesen, 2006). Involvement of the basal ganglia in depression is indicated by decreased basal rCBF (Curran et al., 1993) and volumetric reductions (Husain et al., 1991; Soares and Mann, 1997; Lorenzetti et al., 2009) and dysfunctional cortico-basal connectivity (Marchand et al., 2012) in MDD patients.

Amygdalar Involvement in Sensorimotor Modulation of Mood

The evidence presented above indicates that a diverse range of sensory or motor inputs (or their lack) can modulate mood and depressive symptoms. Moreover, there is a wide temporal span in which the affective impact of such input can be achieved, ranging from a few minutes to days and beyond. It is therefore important to elucidate the process by which the initial reception of sensorimotor input by peripheral channels is converted to a more or less stable state that can be characterized as amelioration or exacerbation of mood and depressive symptoms.

Living organisms are almost constantly bombarded with sensory input in the waking state and often engage in physical activities without obvious affective residues. The sequence of events that connect sensorimotor stimulation with the central mechanisms of mood regulation therefore must follow a triadic process of initial reception of stimulation by central structures, followed by the steps of emotional labeling and recording into long-term memory of those inputs that matter for the organism. Clinical observations, research with animals, and particularly accumulation of neuroimaging data have all contributed to the view that there is no structure pathognomonic to depression. It is therefore not possible to assign any of the phases in the triadic process to a single brain structure. Moreover, neuroanatomical evidence cited previously indicates that several structures forming a widespread fronto-limbic network are affected by different types of mood regulator sensorimotor stimulation. Nevertheless, the present paper will argue that the amygdala (or rather the amygdalar complex) plays a pivotal role (arguably as “primus inter pares”) in all three phases of the triadic process in converting the centrally received sensorimotor stimulation to mood regulatory processes.

The Amygdala is a Gateway for Mood Regulatory Sensorimotor Stimulation

A large number of studies on the neuroanatomy and functions of the amygdala has provided a complex picture of amygdalar connectivity and involvement in diverse phenomena such as sensory evaluation, learning, memory, and mood regulation (LeDoux, 2007; Pessoa, 2011). Briefly, the amygdala consists of several nuclei which differ among themselves in terms of neuroanatomical and neurochemical properties as well as intra- and extra-amygdalar connectivity. The major nuclei involved in the functions related to processing sensory information and affective function are the basolateral nucleus (BLA; consisting of the lateral, basal, and accessory basal nuclei), the medial nucleus and the central nucleus.

The BLA is the recipient of input from multiple sensory systems both from the thalamus and cortical areas, while the medial nucleus receives projections from the olfactory bulbs. The central nucleus receives intra-amygdalar inputs from the lateral and basal nuclei directly or indirectly via the inhibitory intercalated cells and extra-amygdalar inputs from the viscero-sensory information from the cortex and the brainstem. The central nucleus constitutes the major output channel of the amygdala modulating several visceromotor functions by means of its connections with the hypothalamus and lower brainstem structures. The central nucleus also contributes to the regulation of corticosteroid hormone release in response to arousal or stress via the HPA axis.

The Amygdala is Involved in Emotional Assessment (“Labeling”) of Mood Regulatory Sensorimotor Stimulation

A major function of the multifarious amygdala is emotional assessment. The well established amygdalar involvement in fear conditioning (see Phelps and LeDoux, 2005) may have initially biased thinking about amygdalar involvement in emotional evaluation of sensory input. The amygdala was thought to be responsive mainly to negative (or aversive) stimulation and not specially reactive to positive stimuli. There is now abundant evidence to show that the amygdala is activated by positive as well as negative stimulation (Rasia-Filho et al., 2000; Davis and Whalen, 2001; Garavan et al., 2001; Hamann et al., 2002).

There is however no consensus on the critical emotional aspect or dimension of sensory input that results in optimal activation of the amygdala. A major inspiration to define the nature of such stimulation is based on the circumplex model of emotion that characterizes emotion inducing stimulation in terms of two dimensions: valence and arousal (Russell, 1980, 2003). Thus, amygdalar activation and assessment of positive or negative stimuli (or situations) has been considered in terms of valence (how positive or negative) or arousal (how exciting or calm) (Silke et al., 2008; Karlsson et al., 2010; Groenewold et al., 2013). While there is evidence that these dimensions can account for the emotional aspect of diverse types of stimulation impinging on an organism, recent studies, particularly utilizing neuroimaging techniques, have shown that the central reaction, including that of the amygdalar complex, to peripheral stimulation is not totally understandable in terms of just valence or arousal. Several studies have found that amygdalar response to such stimulation can be more appropriately characterized in terms of intensity (Surguladze et al., 2003; Anders et al., 2004), salience (Liberzon et al., 2003; Anderson, 2005), relevance (Sander et al., 2003; Zald, 2003), meaningfulness (Phan et al., 2002; Sergerie et al., 2008), or disambiguation of potentially significant stimulation (Whalen et al., 2001).

A complication in attempting to classify sensorimotor stimulation in terms of its emotional impact on the amygdala is based on the fact that many studies investigating the relative contributions of these dimension (valence vs. arousal, for example) have used extreme values and have usually ignored the mid-range of these dimensions. However, evidence presented in the present review suggests that stimulation arising from of a wide range of events including hearing birdsong to engaging in physical activity can induce emotions and regulate mood. For instance, presentation of an innocuous stimulation such as a sinusoidal tone that is unlikely to have a strong affective quality when presented singly nevertheless can induce depressive symptoms after several repetitions (Bulduk and Canbeyli, 2004). Moreover, characterization of amygdalar response to environmental events and the studies providing empirical support for such labeling have almost all come from observations where stimuli variously thought to be arousing, valenced, salient, threatening, etc. have been present. One of the main points of the present review is that mood can be modulated not just by presence of a sensorimotor stimulation but also by its reduction and even total absence. For instance, reduced or absent auditory stimulation, light exposure, or even exercise can all modulate mood and depressive symptoms.

As shown by evidence presented above, a major aspect of research on amygdalar response to events including unimodal stimulation is driven by the motivation to categorize the nature of amygdalar activation at the interface between sensation and affective arousal and labeling. The main thrust of the present review in this respect is to elucidate the amygdalar activation at the interface between arousal and potential affective memory, that is, to delineate the amygdalar contribution to the transfer of affectively labeled events into long-term memory. From this perspective, it may be more appropriate to embrace a more general concept, namely “emotional tag” to characterize the emotional labeling of potentially significant stimulation by the amygdala (Richter-Levin and Akirav, 2003; Bergado et al., 2011). Briefly, the concept is based on the notion that emotional “weight” of an event activates the amygdala such that tagging facilitates the consolidation of the event in long-term memory. With its wide scope this functional characterization also dovetails with the concept of “synaptic tagging” proposed to explain the memory consolidation in specific synapses in response to particular activation (Frey and Morris, 1997, 1998a,b).

The Amygdala is Involved in Storing Emotional Inputs in Long-Term Memory

Evidence cited previously indicates that a wide range of sensorimotor stimulation, varying in quality and quantity as well as temporal span can modulate mood and depressive symptoms. Accomplishment of such mood regulatory function must entail not just labeling of sensorimotor input but also keeping tract of past stimulation and their consequence as well: for sensorimotor stimulation to have a lasting effect on mood, the emotionally labeled or tagged input must be encoded into long-term storage. There is abundant evidence that humans (Bradley et al., 1992; Gallagher and Chiba, 1996; Hamann et al., 1996) and animals (Cahill and McGaugh, 1990, 1998) remember emotionally arousing events better than neutral events. In this respect, the amygdala plays a central role in that even though it is not in general involved in all aspects of memory (McGaugh et al., 1996) and is not the seat of long-term memory (Izquierdo et al., 1997; Packard and Teather, 1998; Packard and Gabriele, 2009; McDonald et al., 2010), it mediates the storing of emotional events in long-term memory (see McIntyre et al., 2012 for a recent review).

Support for the mediational role of the amygdala in long-term storage of emotional events comes from several types of research with animals and observations with humans. Stimulation of the BLA in animals facilitates long-term potentiation (LTP) and hippocampal plasticity (Ikegaya et al., 1995, 1997; Frey et al., 2001) and enhances specific sensory memory representations in the cerebral cortex (Chavez et al., 2009, 2013). Findings of human brain imaging and memory studies provide additional evidence that the amygdala and medial temporal lobe interact to consolidate memories of emotionally arousing material. In a study with patients with amygdalar pathology, memory loss for emotional items was directly related to the extent of amygdalar damage (Richardson et al., 2004). Similarly, amygdalar lesions in humans impair the normally observed enhancement of memory for emotional as compared with neutral stimuli (Cahill et al., 1995; Adolphs et al., 1997; Phelps et al., 1997).

The Amygdala is a Nexus for Top-Down and Bottom-Up Processes That Modulate Mood

The amygdala is not only a core structure in the bottom-up processes of mood regulation, but also constitutes a nexus in the interaction of top-down cortical factors with the limbic structures involved in depression. In addition to the evidence presented in Section “Neuroanatomical Basis of Sensorimotor Stimulation” above, a multitude of studies provide support for amygdalar involvement in the cortical and cognitive factors involved in regulation of mood (Price and Drevets, 2010). The amygdala has reciprocal connections with the prefrontal affective network including the dorsolateral (DLPF) and MPF and the ACC including the subgenual ACC (sgACC) (Drevets et al., 2004). Amygdalar volume and metabolic changes as well as neuropathologies have been reported in depression along with similar alterations in frontal brain structures such as the prefrontal cortex and the ACC (Drevets, 2001; Sheline et al., 2001; Radley et al., 2006; Koolschijn et al., 2009; Jahn et al., 2010). Importantly, depression severity in MDD is positively correlated with activity in the amygdala, sgACC and ventromedial frontal polar cortex (Drevets and Price, 2005), and negatively correlated with that in the left VLPFC/lateral OFC (Drevets et al., 2004).

Cognitive explanations of depression including the role of rumination emphasize the top-down frontal cortical influences on mood regulation and maintenance of depressive symptoms (Cooney et al., 2010; Disner et al., 2011). Increased negative cognitive processing and ruminative thought are consistently related to depressive symptoms (Roberts et al., 1998; Spasojevic and Alloy, 2001; Mor and Winquist, 2002) and are associated with increased activity in the amygdala and reactivity in the sgACC (Siegle et al., 2006). In fact, rumination has been consistently correlated with structures involved in top-down modulation of mood such as the lateral prefrontal cortex, MFC and the ACC (Putnam and McSweeney, 2008; Denson et al., 2009; Johnson et al., 2009; Kross et al., 2009), and the amygdala (Siegle et al., 2002; Ray et al., 2005).

Conclusion and Future Directions

A major aim of the present paper is to draw attention to the importance of a bottom-up approach to mood and mood disorders that begins with peripheral sensory or motor inputs. The main reason for advocating such an approach is based on the fact that affective neuroscience has often ignored the abundant literature that indicates an important modulatory role for unimodal peripheral inputs. A major outcome/corollary of this predominantly one-way approach has been to emphasize the role of negative inputs (often centrally generated by rumination and fixations) in both the etiology and treatment of depression. In a recent review of a top-down view of mood disorders, cognitive model of depression, major elements of the model are biased attention, biased processing, biased thought and rumination, biased memory, and dysfunctional attitudes and schemas (Disner et al., 2011). There is of course a great deal of justification for dwelling on biases and negativity with respect to human depression. However, it is a fact that depression and mood disorders are common in many species and have served as useful models for humans (see Willner, 1995). It is also a fact that negativity has been overemphasized, particularly with the functioning of the amygdala, in elucidating the mechanism of depression. Interestingly, a recent critical quantitative meta-analysis of neuroimaging on the amygdalar processing of emotion indicates that the human amygdala is not only capable of responding to positive as well as negative inputs, but contrary to widely held view, the mean effect size for amygdalar activation by positive stimuli was significantly greater than for negative ones (Sergerie et al., 2008).

Cross-Modal Interaction of Multimodal Stimulation Can have Synergistic Effects on Mood Regulation

Evidence cited in preceding sections indicates that unisensory stimulation or physical exercise can singly modulate mood and depression. In real life, however, organisms rarely encounter such unimodal inputs but almost always face multimodal stimulation. The multimodal nature of sensorimotor activation in many experimental studies using stress (including the chronic mild stress model of anhedonia; Willner et al., 1992) or enriched environments (Brenes Saenz et al., 2006; Cui et al., 2006) to modulate mood attests to the compound effects of sensorimotor inputs in such treatments. Thus, it will be more realistic to investigate the impact of multichannel rather than unimodal inputs on mood regulation. In light of the ameliorative effects of unimodal stimulation on mood and depressive symptoms, future research may provide more efficacious sensorimotor treatment by systematic investigation of potential synergism by means of multimodal stimulation. There is growing evidence for cross-modal synergism when stimulation from one modality is combined with that from another. After the seminal work by McGurk and MacDonald, 1976) that showed a cross-modal interaction between auditory and visual processing, cross-modal modulation and synergism have been reported across a number of sensory combinations such as between vision and audition (McDonald and Ward, 2000; Watanabe and Shimojo, 2001; Kayser et al., 2009), vision and olfaction (Zellner and Kautz, 1990; Zellner and Whitten, 1999; Koza et al., 2005; Dematte et al., 2009), vision and touch (Kennett et al., 2001; Ro et al., 2004; Gori et al., 2011), olfaction and audition (La Buisonniere-Ariza et al., 2012), somatosensation and audition, as well as audition and gustation (North, 2012).

Sensorimotor Stimulation Can be Used as an Adjunctive Treatment in Depression

A major aim of research on mood regulation is to provide better means of treating mood disorders. While considerable advances have been made in understanding and treating such disorders, particularly depression, full therapeutic success is not within reach. Monotherapies with a single antidepressant fail to achieve remission in a majority of cases (Entsuah et al., 2001; Trivedi et al., 2006b). As a consequence, a wide net has been cast by both clinicians and researchers in search of more efficient therapies of mood disorders. To this end, new pharmacotherapeutic agents and approaches are being developed (Nestler et al., 2002; Krishnan and Nestler, 2010; Murrough and Charney, 2012; Sanacora et al., 2012) and a range of new therapeutic techniques involving transmagnetic stimulation (Sackeim, 2000; O’Reardon et al., 2007; Andrade et al., 2010), deep brain stimulation (Mayberg et al., 2005), and vagal stimulation (George et al., 2002) are now utilized.

Another approach to overcome the failure of monotherapies in treatment-resistant depression has been to use adjunctive or augmentation treatment in the form of additional pharmacological agents such as lithium or buspirone (Nelson, 2000; Fava, 2001). However, such strategies also have disadvantages such as additional side effects, potential harmful drug interactions as well as added treatment cost. An alternative to co-administration of pharmacological agents is to use sensorimotor stimulation as adjunctive or augmentation therapy. There is already evidence that combining bright-light exposure with exercise ameliorates mood (Partonen and Lönnqvist, 2000; Leppamaki et al., 2002, 2004). Several studies indicate that due to its demonstrated ameliorative effect as monotherapy (Babyak et al., 2000; Blumenthal et al., 2007) exercise can be used adjunctively with pharmacotherapy in treatment of depression (Trivedi et al., 2006a).

Back to the Future: A Psychophysical Approach to Sensorimotor Stimulation may Provide New Insights into Mood Regulation

An important issue raised by the present review has to do with the fact that it is no longer possible to understand both the top-down and the bottom-up approaches to mood regulation only in terms of the “intensity” or the “valuation” of cognitive and/or viscero-sensory stimulation impinging on an organism. This is because there is now adequate evidence to show that not only excessive but even total absence of sensorimotor input can modulate mood. As shown in previous sections, a deficiency in photic reception or reduced auditory stimulation can cause depressive symptoms in humans and animals. All these point to a very complex central accumulative system that is perturbed by deficient or excessive stimulation which when repeated can cause major mood dysregulations.

An analogy between mood regulatory effects of sensorimotor stimulation and psychophysics is not spurious at this stage for historical as well as neuroscientific reasons. Historically (and conceptually) Fechner’s quest in his pioneering work on psychophysics was to bridge the gap between the physical world impinging on the organism’s sensory systems and the psychological phenomena arising thereof [Fechner, 1987a,b (in translation); see also Scheerer, 1987]. Stevens brought a more valid depiction of the psychophysical law by proposing the power law to replace the Fechnerian logarithmic law. Perhaps just as importantly, Stevens emphasized the neural mechanisms that transduced/translated the sensory information into central physiological activation. Particularly relevant to the present review is Stevens’ research with cross-modal matching whereby the psychological impact of sensory stimulation in one domain/modality is matched with that engendered by stimulation in another (Stevens, 1970). Numerous demonstrations of reliable cross-modal matching in experiments utilizing a large number of dimensional permutations suggest a common coin that allows for a precise and replicable matching of the psychological impacts of cross-modal stimulation. Recent studies employing neuroimaging (Nakashita et al., 2008) and electrophysiological (Giard and Peronnet, 1999; Wang et al., 2008) methods demonstrate neural interactions that may provide the underlying mechanism for such cross-modal neural interactions. Furthermore, two critical structures in the neurocircuitry of depression, namely the amygdala and the prefrontal cortex, are especially wired to co-process inputs from several modalities (Nahm et al., 1993; Cooper et al., 1994; Gilbert et al., 1996; Day et al., 2005; Ghashghaei et al., 2007; Tettamanti et al., 2012). Imaging (Nakashita et al., 2008) and electrophysiological (Giard and Peronnet, 1999; Wang et al., 2008) studies demonstrate neural interactions that may provide the underlying mechanism for cross-modal neural interactions. Related studies have shown that primary sensory cortical areas respond not just to the appropriate unimodal but also to multimodal stimuli. The visual cortex, for instance, can be activated by tactile and auditory stimulation (Hagen et al., 2002; Blake et al., 2004; Beauchamp et al., 2007; Saenz et al., 2008). Similarly, the somatosensory cortex can be activated by visual input (Taylor-Clarke et al., 2002), while auditory cortical neurons respond to somatosensory input (Fu et al., 2003).

In light of these findings, the bottom-up approach to mood regulation points to a common mechanism that accumulates the impact of both ameliorative and detrimental effects of stimulation on mood. Particularly, use of animal models in parametric investigations of the central effects induced by mood regulatory uni-and multimodal stimulation can provide valuable insights into the etiology and treatment of mood disorders, by elucidating those parameters that result in optimal stimulation for psychological well-being.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The present review and research by the author mentioned in the text were made possible by grants from the Bogazici University Research Projects (BAP).

References

Abbott, A. (2002). Music, maestro, please! Nature 416, 12–14. doi:10.1038/416012a

CrossRef Full Text

Adolphs, R., Cahill, L., Schul, R., and Babinsky, R. (1997). Impaired declarative memory for emotional material following bilateral amygdala damage in humans. Learn. Mem. 4, 291–300. doi:10.1101/lm.4.3.291

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Albersnagel, F. A. (1988). Velten and musical mood induction procedures, a comparison with accessibility of thought associations. Behav. Res. Ther. 26, 79–96. doi:10.1016/0005-7967(88)90035-6

CrossRef Full Text

Alexander, G. E., and Crutcher, M. D. (1990). Functional architecture of basal ganglia circuits, neural substrates of parallel processing. Trends Neurosci. 13, 281–285. doi:10.1016/0166-2236(90)90107-L

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Anders, S., Lotze, M., Erb, M., Grodd, W., and Birbaumer, N. (2004). Brain activity underlying emotional valence and arousal: a response-related fMRI study. Hum. Brain Mapp. 23, 200–209. doi:10.1002/hbm.20048

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Anderson, A. K. (2005). Affective influences on the attentional dynamics supporting awareness. J. Exp. Psychol. Gen. 134, 258–281. doi:10.1037/0096-3445.134.2.258

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Andrade, P., Noblesse, L. H. M., Temel, Y., Ackermans, L., Lim, L. W., Steinbusch, H. W. M., et al. (2010). Neurostimulatory and ablative treatment in major depressive disorder: a systematic review. Acta Neurochir. (Wien) 152, 565–577. doi:10.1007/s00701-009-0589-6

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Ashkenazy, T., Einat, H., and Kronfeld-Schor, N. (2009). Effects of bright light treatment on depression- and anxiety-like behaviors of diurnal rodents maintained on a short daylight schedule. Behav. Brain Res. 201, 343–346. doi:10.1016/j.bbr.2009.03.005

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Ashkenazy-Frolinger, T., Kronfeld-Schor, N., Juetten, J., and Einat, H. (2010). It is darkness and not light: depression-like behaviors of diurnal unstriped Nile grass rats maintained under a short photoperiod schedule. J. Neurosci. Methods 186, 165–170. doi:10.1016/j.jneumeth.2009.11.013

CrossRef Full Text

Babyak, M., Blumenthal, J. A., Herman, S., Khatri, P., Doraiswamy, M., Moore, K., et al. (2000). Exercise treatment for major depression maintenance of therapeutic benefit at 10 months. Psychosom. Med. 62, 633–638.

Pubmed Abstract | Pubmed Full Text

Beauchamp, M. S., Yasar, N. E., Fryec, R. E., and Ro, T. (2007). Human MST but not MT responds to tactile stimulation. J. Neurosci. 27, 8261–8267. doi:10.1523/JNEUROSCI.0754-07.2007

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Bedrosian, T. A., Fonken, L. K., Walton, J. C., Haim, A., and Nelson, R. J. (2011). Dim light at night provokes depression-like behaviors and reduces CA1 dendritic spine density in female hamsters. Psychoneuroendocrinology 36, 1062–1069. doi:10.1016/j.psyneuen.2011.01.004

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Berchtold, N. C., Kesslak, J. P., and Cotman, C. W. (2002). Hippocampal brain-derived neurotrophic factor gene regulation by exercise and the median septum. J. Neurosci. Res. 68, 511–521. doi:10.1002/jnr.10256

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Berchtold, N. C., Kesslak, J. P., Pike, C. J., Adlard, P. A., and Cotman, C. W. (2001). Estrogen and exercise interact to regulate brain-derived neurotrophic factor mRNA and protein expression in the hippocampus. Eur. J. Neurosci. 14, 1992–2002. doi:10.1046/j.0953-816x.2001.01825.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Bergado, J. A., Lucas, M., and Richter-Levin, G. (2011). Emotional tagging: a simple hypothesis in a complex reality. Prog. Neurobiol. 94, 64–76. doi:10.1016/j.pneurobio.2011.03.004

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Berlin, A. A., Kop, W. J., and Deuster, P. A. (2006). Depressive mood symptoms and fatigue after exercise withdrawal, the potential role of decreased fitness. Psychosom. Med. 68, 224–230. doi:10.1097/01.psy.0000204628.73273.23

CrossRef Full Text

Berrios, G. E., Ryley, J. P., and Garvey, T. P. (1988). Psychiatric morbidity in subjects with inner ear disease. Clin. Otolaryngol. 13, 259–266. doi:10.1111/j.1365-2273.1988.tb01129.x

CrossRef Full Text

Bjornebekk, A., Mathe, A. A., and Brene, S. (2005). The antidepressant effect of running is associated with increased hippocampal cell proliferation. Int. J. Neuropsychopharmacol. 8, 357–368. doi:10.1017/S1461145705005122

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Blake, R., Sobel, K. V., and James, T. W. (2004). Neural synergy between kinetic vision and touch. Psychol. Sci. 15, 397–402. doi:10.1111/j.0956-7976.2004.00691.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Blood, A. J., and Zatorre, R. J. (2001). Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and punishment. Proc. Natl. Acad. Sci. U.S.A. 98, 11818–11823. doi:10.1073/pnas.191355898

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Blumenthal, J. A., Babyak, M. A., Doraiswamy, P. M., Watkins, L., Hoffman, B. M., Barbour, K. A., et al. (2007). Exercise and pharmacotherapy in the treatment of major depressive disorder. Psychosom. Med. 69, 587–596. doi:10.1097/PSY.0b013e318148c19a

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Booker, J. M., Hellekson, C. J., Putilov, A. A., and Danilenko, K. V. (1991). Seasonal depression and sleep disturbances in Alaska and Siberia, a pilot study. Arctic Med. Res. 1991(Suppl.), 281–284.

Bouhuys, A. L., Bloem, G. M., and Groothuis, T. G. G. (1995). Induction of depressed and elated mood by music influences the perception of facial emotional expression in healthy subjects. J. Affect. Disord. 33, 215–216. doi:10.1016/0165-0327(94)00092-N

CrossRef Full Text

Bradley, M. M., Greenwald, M. K., Petry, M. C., and Lang, P. J. (1992). Remembering pictures: pleasure and arousal in memory. J. Exp. Psychol. Learn. Mem. Cogn. 18, 379–390. doi:10.1037/0278-7393.18.2.379

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Brainard, G. C., Sherry, D., Skwerer, R. G., Waxler, M., Kelly, K., and Rosenthal, N. E. (1990). Effects of different wavelengths in seasonal affective disorder. J. Affect. Disord. 20, 209–216. doi:10.1016/0165-0327(90)90052-A

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Brenes Saenz, J. C., Villagra, O. R., and Trias, J. M. (2006). Factor analysis of forced swimming test, sucrose preference test and open field test on enriched, social and isolated reared rats. Behav. Brain Res. 2006, 57–65. doi:10.1016/j.bbr.2005.12.001

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Britton, K. T., Segal, D. S., and Kuczenski, R. (1992). Dissociation between in vivo hippocampal norepinephrine response to behavioral/neuroendocrine responses to noise stress in rats. Brain Res. 574, 125–130. doi:10.1016/0006-8993(92)90808-M

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Budd, R. J., and Pugh, R. (1995). The relationship between locus of control, tinnitus severity, and emotional distress in a group of tinnitus sufferers. J. Psychosom. Res. 39, 1015–1018. doi:10.1016/0022-3999(95)00512-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Bulduk, S., and Canbeyli, R. (2004). Effect of inescapable tones on behavioral despair in Wistar rats. Prog. Neuropsychopharmacol. Biol. Psychiatry 28, 471–475. doi:10.1016/j.pnpbp.2003.11.012

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Burrow, A., Day, H. E. W., and Campeau, S. (2005). A detailed characterization of loud noise stress, intensity analysis of hypothalamo-pituitary-adrenocortical axis and brain activation. Brain Res. 1062, 63–73. doi:10.1016/j.brainres.2005.09.031

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Cahill, L., Babinsky, R., Markowitsch, H. J., and McGaugh, J. L. (1995). The amygdala and emotional memory. Nature 377, 295–296. doi:10.1038/377295a0

CrossRef Full Text

Cahill, L., and McGaugh, J. L. (1990). Amygdaloid complex lesions differentially affect retention of tasks using appetitive and aversive reinforcement. Behav. Neurosci. 104, 532–543. doi:10.1037/0735-7044.104.4.532

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Cahill, L., and McGaugh, J. L. (1998). Mechanisms of emotional arousal and lasting declarative memory. Trends Neurosci. 21, 294–299. doi:10.1016/S0166-2236(97)01214-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Canbeyli, R. (2010). Sensorimotor modulation of mood and depression: an integrative review. Behav. Brain Res. 207, 249–264. doi:10.1016/j.bbr.2009.11.002

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Chavez, C. M., McGaugh, J. L., and Weinberger, N. M. (2009). The basolateral amygdala modulates specific sensory memory representations in the cerebral cortex. Neurobiol. Learn. Mem. 91, 382–392. doi:10.1016/j.nlm.2008.10.010

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Chavez, C. M., McGaugh, J. L., and Weinberger, N. M. (2013). Activation of the basolateral amygdala induces long-term enhancement of specific memory representations in the cerebral cortex. Neurobiol. Learn. Mem. 101, 8–18. doi:10.1016/j.nlm.2012.12.013

CrossRef Full Text

Clark, D. M. (1983). On the induction of depressed mood in the laboratory, evaluation and comparison of the Velten and musical procedures. Adv. Behav. Res. Ther. 5, 27–49. doi:10.1016/0146-6402(83)90014-0

CrossRef Full Text

Cooney, R. E., Joormann, J., Eugene, F., Dennis, E. L., and Gotlib, I. H. (2010). Neural correlates of rumination in depression. Cogn. Affect. Behav. Neurosci. 10, 470–478. doi:10.3758/CABN.10.4.470

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Cooper, H. M., Parvopassu, F., Herbin, M., and Magnin, M. (1994). Neuroanatomical pathways linking vision and olfaction in mammals. Psychoneuroendocrinology 19, 623–639. doi:10.1016/0306-4530(94)90046-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Cui, M., Yang, Y., Yang, J., Zhang, H., Han, H., Ma, W., et al. (2006). Enriched environment experience overcomes the memory deficits and depressive-like behavior induced by early life stress. Neurosci. Lett. 404, 208–212. doi:10.1016/j.neulet.2006.05.048

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Curran, S. M., Murray, C. M., van Beck, M., Dougall, N., O’Carroll, R. E., Austin, M. P., et al. (1993). A single photon emission computerised tomography study of regional brain function in elderly patients with major depression and with Alzheimer-type dementia. Br. J. Psychiatry 163, 155–165. doi:10.1192/bjp.163.2.155

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Davis, M., and Whalen, P. J. (2001). The amygdala: vigilance and emotion. Mol. Psychiatry 6, 13–34. doi:10.1038/sj.mp.4000812

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Day, H. E. W., Nebel, S., Sasse, S., and Campeau, S. (2005). Inhibition of the central extended amygdala by loud noise and restraint stress. Eur. J. Neurosci. 21, 441–454. doi:10.1111/j.1460-9568.2005.03865.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

de Gelder, B., Bocker, K. B. E., Tuomainen, J., Hensen, M., and Vroomen, J. (1999a). The combined perception of emotion from voice and face, early interaction revealed by human electric brain responses. Neurosci. Lett. 260, 133–136. doi:10.1016/S0304-3940(98)00963-X

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

de Gelder, B., Vroomen, J., Pourtois, G., and Weiskrantz, L. (1999b). Non-conscious recognition of affect in the absence of striate cortex. Neuroreport 10, 3759–3763. doi:10.1097/00001756-199912160-00007

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Dematte, M. L., Sanabria, D., and Spence, C. (2009). Olfactory discrimination: when vision matters? Chem. Senses 34, 103–109. doi:10.1093/chemse/bjn055

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Denson, T. F., Pedersen, W. C., Ronquillo, J., and Nandy, A. S. (2009). The angry brain: neural correlates of anger, angry rumination, and aggressive personality. J. Cogn. Neurosci. 12, 734–744. doi:10.1162/jocn.2009.21051

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Dey, S. (1994). Physical exercise as a novel antidepressant agent, possible role of serotonin receptor subtypes. Physiol. Behav. 55, 323–329. doi:10.1016/0031-9384(94)90141-4

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Dimeo, F., Bauer, M., Varahram, I., Proest, G., and Halter, U. (2001). Benefits from aerobic exercise in patients with major depression: a pilot study. Br. J. Sports Med. 35, 114–117. doi:10.1136/bjsm.35.2.114

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Disner, S. G., Beevers, C. G., Haigh, E. A. P., and Beck, A. T. (2011). Neural mechanisms of the cognitive model of depression. Nat. Rev. Neurosci. 12, 467–477. doi:10.1038/nrn3027

CrossRef Full Text

Doyne, E. J., Chambless, D. L., and Beutler, L. E. (1983). Aerobic exercise as a treatment for depression in women. Behav. Ther. 14, 434–440. doi:10.1016/S0005-7894(83)80106-3

CrossRef Full Text

Drago, F., Musco, S., Nardo, L., Valerio, C., Grassi, M., and Rampello, L. (1996). Behavioral and neurochemical alterations induced by reversible conductive hearing loss in aged male rats. Neurosci. Lett. 205, 1–4. doi:10.1016/0304-3940(96)12369-7

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Drevets, W. C. (2001). Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders. Curr. Opin. Neurobiol. 11, 240–249. doi:10.1016/S0959-4388(00)00203-8

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Drevets, W. C., Gadde, K., and Krishnan, K. R. R. (2004). “Neuroimaging studies of mood disorder,” in Neurobiology of Mental Illness, 2nd Edn, eds D. S. Charney and E. J. Nestler (New York: Oxford University Press), 461–480.

Drevets, W. C., and Price, J. L. (2005). “Neuroimaging and neuropathological studies of mood disorders,” in Biology of Depression: From Novel Insights to Therapeutic Strategies, ed. J. W. M. Licinio (Weinheim: Wiley-VCH Verlag GmbH & Co), 427–466.

Drevets, W. C., Price, J. L., and Furey, M. L. (2008). Brain structural and functional abnormalities in mood disorders, implications for neurocircuitry models of depression. Brain Struct. Funct. 213, 93–118. doi:10.1007/s00429-008-0189-x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Duman, C. H., Shlesinger, L., Russell, D. S., and Duman, R. S. (2008). Voluntary exercise produces antidepressant and anxiolytic behavioral effects in mice. Brain Res. 1199, 148–158. doi:10.1016/j.brainres.2007.12.047

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Dunn, A. L., Trivedi, M. H., Kampert, J. B., Clark, C. G., and Chambliss, H. O. (2005). Exercise treatment for depression: efficacy and dose response. Am. J. Prev. Med. 28, 1–8. doi:10.1016/j.amepre.2004.09.003

CrossRef Full Text

Dunn, A. L., Trivedi, M. H., and O’Neal, H. A. (2001). Physical activity dose-response effects of outcomes of depression and anxiety. Med. Sci. Sports Exerc. 33(Suppl.), S587–S597. doi:10.1097/00005768-200106001-00027

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Einat, H., Kronfeld-Schor, N., and Eilam, D. (2006). Sand rats see the light, short photoperiod induces a depression-like response in a diurnal rodent. Behav. Brain Res. 173, 153–157. doi:10.1016/j.bbr.2006.06.006

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Entsuah, A. R., Huang, H., and Thase, M. E. (2001). Response and remission rates in different subpopulations with major depressive disorder administered venlafaxine, selective serotonin reuptake inhibitors, or placebo. J. Clin. Psychiatry 62, 869–877. doi:10.4088/JCP.v62n1106

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Espiritu, R. C., Kripke, D. F., Ancoli-Israel, S., Mowen, M. A., Mason, W. J., Fell, R. L., et al. (1994). Low illumination experienced by San Diego adults: association with atypical depressive symptoms. Biol. Psychiatry 106, 780–786.

Pubmed Abstract | Pubmed Full Text

Even, C., Schröder, C. M., Friedman, S., and Rouillon, F. (2008). Efficacy of light therapy in nonseasonal depression: a systematic review. J. Affect. Disord. 108, 11–23. doi:10.1016/j.jad.2007.09.008

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Farmer, M. E., Locke, B. Z., and Moscicki, E. K. (1988). Physical activity and depressive symptoms: the NHANES I epidemiologic follow-up study. Am. J. Epidemiol. 128, 1340–1351.

Pubmed Abstract | Pubmed Full Text

Fava, M. (2001). Augmentation and combination strategies in treatment-resistant depression. J. Clin. Psychiatry 62(Suppl. 18), 4–11.

Pubmed Abstract | Pubmed Full Text

Fechner, G. T. (1987a). Outline of a new principle of mathematical psychology (1851). Tr. By E. Scheerer Psychol. Res. 49, 203–207. doi:10.1007/BF00309027

CrossRef Full Text

Fechner, G. T. (1987b). My own viewpoint on mental measurements (1887). Tr. By Scheerer, E. Psychol. Res. 49, 213–219. doi:10.1007/BF00309029

CrossRef Full Text

Fonken, L. K., Finy, M. S., Walton, J. C., Weil, Z. M., Worman, J. L., Ross, J., et al. (2009). Influence of light at night on murine anxiety- and depressive-like responses. Behav. Brain Res. 205, 349–354. doi:10.1016/j.bbr.2009.07.001

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Freemont, J., and Craighead, L. W. (1987). Aerobic exercise and cognitive therapy in the treatment of dysphoric moods. Cogn. Ther. Res. 2, 241–251. doi:10.1007/BF01183268

CrossRef Full Text

Frey, S., Bergado-Rosado, J., Seidenbecher, T., Pape, H. C., and Frey, J. U. (2001). Reinforcement of early long-term potentiation (early-LTP) in dentate gyrus by stimulation of the basolateral amygdala: heterosynaptic induction mechanisms of late-LTP. J. Neurosci. 21, 3697–3703.

Pubmed Abstract | Pubmed Full Text

Frey, U., and Morris, R. G. (1997). Synaptic tagging and long-term potentiation. Nature 385, 533–536. doi:10.1038/385533a0

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Frey, U., and Morris, R. G. (1998a). Synaptic tagging: implications for late maintenance of hippocampal long-term potentiation. Trends Neurosci. 21, 181–188. doi:10.1016/S0166-2236(97)01189-2

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Frey, U., and Morris, R. G. (1998b). Weak before strong: dissociating synaptic tagging and plasticity-factor accounts of late-LTP. Neuropharmacology 37, 545–552. doi:10.1016/S0028-3908(98)00040-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Fu, K.-M. G., Johnston, T. A., Shah, A. S., Arnold, L., Smiley, J., Hackett, T. A., et al. (2003). Auditory cortical neurons respond to somatosensory stimulation. J. Neurosci. 23, 7510–7515.

Pubmed Abstract | Pubmed Full Text

Gagner-Tjellesen, D., Yurkovich, E., and Gragert, M. (2001). Use of music therapy and other ITNIs in acute care. J. Psychosoc. Nurs. Ment. Health Serv. 39, 26–37.

Pubmed Abstract | Pubmed Full Text

Gallagher, M., and Chiba, A. A. (1996). The amygdala and emotion. Curr. Opin. Neurobiol. 6, 221–227. doi:10.1016/S0959-4388(96)80076-6

CrossRef Full Text

Garavan, H., Pendergrass, J. C., Ross, T. J., Stein, E. A., and Risinger, R. C. (2001). Amygdala response to both positively and negatively valenced stimuli. Neuroreport 12, 2779–2783. doi:10.1097/00001756-200108280-00036

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

George, M. S., Nahas, Z., Bohning, D. E., Kozel, F. A., Anderson, B., Chae, J.-H., et al. (2002). Vagus nerve stimulation therapy. Neurology 59, S56–S61. doi:10.1212/WNL.59.6_suppl_4.S56

CrossRef Full Text

Ghashghaei, H. T., Hilgetag, C. C., and Barbas, H. (2007). Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala. Neuroimage 34, 905–923. doi:10.1016/j.neuroimage.2006.09.046

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Giard, M. H., and Peronnet, F. (1999). Auditory-visual integration during multimodal object recognition in humans: a behavioral and electrophysiological study. J. Cogn. Neurosci. 11, 473–490. doi:10.1162/089892999563544

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Gilbert, A. N., Martin, R., and Kemp, S. E. (1996). Cross-modal correspondence between vision and olfaction, the color of smells. Am. J. Psychol. 109, 335–351. doi:10.2307/1423010

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Glickman, G., Byrne, B., Pineda, C., Hauck, W. W., and Brainard, G. C. (2006). Light therapy for seasonal affective disorder with blue narrowband light-emitting diodes (LEDs). Biol. Psychiatry 59, 502–507. doi:10.1016/j.biopsych.2005.07.006

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Goel, N., and Etwaroo, G. R. (2006). Bright light, negative ions and auditory stimuli produce rapid mood changes in a student population: a placebo-controlled study. Psychol. Med. 36, 1253–1263. doi:10.1017/S0033291706008002

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Gold, C., Solli, H. P., Kruger, V., and Lie, S. A. (2009). Dose response relationship in music therapy for people with serious mental disorders: systematic review and meta-analysis. Clin. Psychol. Rev. 29, 193–207. doi:10.1016/j.cpr.2009.01.001

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Goodwin, F. K., Wirz-Justice, A., and Wehr, T. (1982). “Evidence that the pathophysiology of depression and the mechanism of the action of antidepressant drugs both involve alterations in circadian rhythms,” in Typical and Atypical Antidepressants, Clinical Practice, eds R. Costa and G. Racagni (New York: Raven Press), 1–11.

Goodwin, R. D. (2003). Association between physical activity and mental disorders among adults in the United States. Prev. Med. 36, 698–703. doi:10.1016/S0091-7435(03)00042-2

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Gori, M., Mazzilli, G., Sandini, G., and Burr, D. (2011). Cross-sensory facilitation reveals neural interactions between visual and tactile motion in humans. Front. Psychol. 2:55. doi:10.3389/fpsyg.2011.00055

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Greenwood, B. N., and Fleshner, M. (2008). Exercise, learned helplessness, and the stress-resistant brain. Neuromolecular Med. 10, 81–98. doi:10.1007/s12017-008-8029-y

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Greenwood, B. N., Foley, T., Day, H. E. W., Campisi, J., Hammack, S. H., Campeau, S., et al. (2003). Freewheel running prevents learned helplessness/behavioral depression: role of dorsal raphe serotonergic neurons. J. Neurosci. 23, 2889–2898.

Groenewold, N. A., Opmeer, E., de Jonge, P., Aleman, A., and Costafreda, S. (2013). Emotional valence modulates brain functional abnormalities in depression: evidence from a meta-analysis of fMRI studies. Neurosci. Biobehav. Rev. 37, 152–163. doi:10.1016/j.neubiorev.2012.11.015

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Hagen, M. C., Franzen, O., McGlone, F., Essick, G., Dancer, C., and Pardo, J. V. (2002). Tactile motion activates the human middle temporal/V5 (MT/V5) complex. Eur. J. Neurosci. 16, 957–964. doi:10.1046/j.1460-9568.2002.02139.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Hamann, S. B., Ely, T. D., Hoffman, J. M., and Kilts, C. D. (2002). Ecstasy and agony: activation of the human amygdala in positive and negative emotion. Psychol. Sci. 13, 135–141. doi:10.1111/1467-9280.00425

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Hamann, S. B., Squire, L. R., Adolphs, R., Tranel, D., Damasio, H., and Damasio, A. (1996). Recognizing facial emotion. Nature 379, 497–502. doi:10.1038/379497a0

CrossRef Full Text

Heimer, L. (2003). A new anatomical framework for neuropsychiatric disorders and abuses. Am. J. Psychiatry 160, 1726–1739. doi:10.1176/appi.ajp.160.10.1726

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Heimer, L., and Van Hoesen, G. W. (2006). The limbic lobe and its output channels, implications for emotional functions and adaptive behavior. Neurosci. Biobehav. Rev. 30, 126–147. doi:10.1016/j.neubiorev.2005.06.006

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Helmich, I., Latini, A., Sigwalt, A., Carta, M. G., Machado, S., Velasques, B., et al. (2010). Neurobiological alterations induced by exercise and their impact on depressive disorders. Clin. Pract. Epidemiol. Ment. Health 6, 115–125. doi:10.2174/1745017901006010115

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Hillman, C. H., Rosengren, K. S., and Smith, D. P. (2004). Emotion and motivated behavior: postural adjustments to affective picture viewing. Biol. Psychiatry 66, 51–62. doi:10.1016/j.biopsycho.2003.07.005

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Hoomisen, J. D., Chambliss, H. O., Holmes, P. V., and Dishman, R. K. (2003). Effects of chronic exercise and imipramine on mRNA for BDNF after olfactory bulbectomy in rat. Brain Res. 974, 228–235. doi:10.1016/S0006-8993(03)02584-8

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Horslen, B. C., and Carpenter, M. G. (2011). Arousal, valence and their relative effects on postural control. Exp. Brain Res. 215, 27–34. doi:10.1007/s00221-011-2867-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Hsu, W. C., and Lai, H. L. (2004). Effects of music on major depression in psychiatric inpatients. Arch. Pyschiatr. Nurs. 18, 193–199. doi:10.1016/j.apnu.2004.07.007

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Husain, M. M., McDonald, W. M., Doraiswamy, P. M., Figiel, G. S., Na, C., Escalona, P. R., et al. (1991). A magnetic resonance imaging study of putamen nuclei in major depression. Psychiatry Res. 40, 95–99. doi:10.1016/0925-4927(91)90001-7

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Ikegaya, Y., Nakanishi, K., Saito, H., and Abe, K. (1997). Amygdala beta-noradrenergic influence on hippocampal long-term potentiation in vivo. Neuroreport 8, 3143–3146. doi:10.1097/00001756-199709290-00027

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Ikegaya, Y., Saito, H., and Abe, K. (1995). High-frequency stimulation of the basolateral amygdala facilitates the induction of long-term potentiation in the dentate gyrus in vivo. Neurosci. Res. 22, 203–207. doi:10.1016/0168-0102(95)00894-7

CrossRef Full Text

Irwin, M. R., Segal, D. S., Hauger, R. L., and Smith, T. L. (1989). Individual behavioral and neuroendocrine differences in responsiveness to audiogenic stress. Pharmacol. Biochem. Behav. 32, 913–917. doi:10.1016/0091-3057(89)90058-0

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Iyilikci, O., Aydin, E., and Canbeyli, R. (2009). Blue but not red light stimulation in the dark has antidepressant effect in behavioral despair. Behav. Brain Res. 203, 65–68. doi:10.1016/j.bbr.2009.04.013

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Izquierdo, I., Quillfeldt, J. A., Zanatta, M. S., Quevedo, J., Schaeffer, E., Schmitz, P. K., et al. (1997). Sequential role of hippocampus and amygdala, entorhinalcortex and parietal cortex in formation and retrieval of memory for inhibitoryavoidance in rats. Eur. J. Neurosci. 9, 786–793. doi:10.1111/j.1460-9568.1997.tb01427.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Jahn, A. L., Fox, A. S., Abercrombie, H. C., Shelton, S. E., Oakes, T. R., and Davidson, R. J. (2010). Subgenual prefrontal cortex activity predicts individual differences in hypothalamic-pituitary-adrenal activity across different contexts. Biol. Psychiatry 67, 175–181. doi:10.1016/j.biopsych.2009.07.039

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Jean-Louis, G., Kripke, D., Cohen, C., Zizi, F., and Wolintz, A. (2005). Associations of ambient illumination with mood, contribution of ophthalmic dysfunctions. Physiol. Behav. 84, 479–487. doi:10.1016/j.physbeh.2005.01.011

CrossRef Full Text

Johnson, M. K., Nolen-Hoeksema, S., Mitchell, K. J., and Levin, Y. (2009). Medial cortex activity, self-reflection and depression. Soc. Cogn. Affect. Neurosci. 4, 313–327. doi:10.1093/scan/nsp022

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Karlsson, K. A., Windischberger, C., Gerstl, F., Mayr, W., Siegel, J. M., and Moser, E. (2010). Modulation of hypothalamus and amygdalar activation levels with stimulus valence. Neuroimage 51, 324–328. doi:10.1016/j.neuroimage.2010.02.029

CrossRef Full Text

Katz, R. J., Roth, K. A., and Carroll, B. J. (1981). Acute and chronic stress effects on open field activity in the rat, implications for a model of depression. Neurosci. Biobehav. Rev. 5, 247–251. doi:10.1016/0149-7634(81)90005-1

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Kayser, C., Logothetis, N. K., and Panzeri, S. (2009). Visual enhancement of the information representation in auditory cortex. Curr. Biol. 20, 19–24. doi:10.1016/j.cub.2009.10.068

CrossRef Full Text

Kemper, K. J., and Danhauer, S. C. (2005). Music as therapy. South Med. J. 98, 282–288. doi:10.1097/01.SMJ.0000154773.11986.39

CrossRef Full Text

Kennett, S., Taylor-Clarke, M., and Haggard, P. (2001). Noninformative vision improves the spatial resolution of touch in humans. Curr. Biol. 11, 1188–1191. doi:10.1016/S0960-9822(01)00327-X

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., et al. (2003). National comorbidity survey replication. The epidemiology of major depressive disorder, results from the national comorbidity survey replication (NCS-R). JAMA 289, 3095–3105. doi:10.1001/jama.289.23.3095

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Klein, M. H., Greist, J. H., Gurman, R. A., Neimeyer, R. A., Lesser, D. P., and Bushnell, N. J. (1985). A comparative outcome study of group psychotherapy vs. exercise treatments for depression. Int. J. Ment. Health 3, 148–177.

Koenigs, M., and Grafman, J. (2009). The functional neuroanatomy of depression: distinct roles for ventromedial and dorsolateral prefrontal cortex. Behav. Brain Res. 201, 239–243. doi:10.1016/j.bbr.2009.03.004

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Koolschijn, P. C. M. P., van Haren, N. E. M., Lensvelt-Mulders, G. J. L. M., Hulshoff Pol, H. E., and Kahn, R. S. (2009). Brain volume abnormalities in major depressive disorder: a meta-analysis of magnetic resonance imaging studies. Hum. Brain Mapp. 30, 3719–3735. doi:10.1002/hbm.20801

CrossRef Full Text

Koza, B. J., Cilmi, A., Dolese, M., and Zelner, D. A. (2005). Color enhances orthogonal olfactory intensity and reduces retronasal olfactory intensity. Chem. Senses 30, 643–649. doi:10.1093/chemse/bji057

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Krishnan, V., and Nestler, E. J. (2010). Linking molecules to mood: new insight into the biology of depression. Am. J. Psychiatry 167, 1305–1320. doi:10.1176/appi.ajp.2009.10030434

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Kross, E., Davidson, M., Weber, J., and Ochsner, K. (2009). Coping with emotions past: the neural bases of regulating affect associated with negative autobiographical memories. Biol. Psychiatry 65, 361–366. doi:10.1016/j.biopsych.2008.10.019

CrossRef Full Text

Kupfer, D. J., Foster, F. G., Detre, T. P., and Himmelhoch, J. (1975). Sleep EEG and motor activity as indicators in affective states. Neuropsychobiology 1, 296–303. doi:10.1159/000117503

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

La Buisonniere-Ariza, V., Frasnelli, J., Collignon, O., and Lepore, F. (2012). Olfactory priming leads to faster sound localization. Neurosci. Lett. 506, 188–192. doi:10.1016/j.neulet.2011.11.002

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Lampinen, P., Heikkinen, R. L., and Ruopilla, I. (2000). Changes in intensity of physical exercise as predictors of depressive symptoms among older adults, an eight-year follow-up. Prev. Med. 30, 371–380. doi:10.1006/pmed.2000.0641

CrossRef Full Text

Lane, J. D., Kasian, S. J., Owens, J. E., and Marsh, G. R. (1998). Binaural auditory beats affect vigilance performance and mood. Physiol. Behav. 63, 249–252. doi:10.1016/S0031-9384(97)00436-8

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Langguth, B., Landgrebe, M., Kleinjung, T., Sand, G. P., and Hajak, G. (2011). Tinnitus and depression. World J. Biol. Psychiatry 12, 489–500. doi:10.3109/15622975.2011.575178

CrossRef Full Text

Lau, B. W. M., Ren, C., Yang, J., Yan, S. W. L., Chang, R. C. C., Pu, M., et al. (2011). Light deprivation induces depression-like behaviour and suppresses neurogenesis in diurnal Mongolian gerbil (Meriones unguiculatus). Cell Transplant. 20, 871–881. doi:10.3727/096368910X539065

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

LeDoux, J. (2007). The amygdala. Curr. Biol. 17, R868–R874. doi:10.1016/j.cub.2007.08.005

CrossRef Full Text

LeGates, T. A., Altimus, C. M., Wang, H., Lee, H. K., Yang, S., Zhao, H., et al. (2012). Aberrant light directly impairs mood and learning through melanopsin-expressing neurons. Nature 491, 594–598. doi:10.1038/nature11673

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Leigh, I. W., and Anthony-Tolbert, S. (2001). Reliability of the BDI-II with deaf persons. Rehabil. Psychol. 46, 195–202. doi:10.1037/0090-5550.46.2.195

CrossRef Full Text

Leigh, I. W., Robins, C. J., Welkowitz, J., and Bond, R. N. (1989). Toward greater understanding of depression in deaf individuals. Am. Ann. Deaf 134, 249–254. doi:10.1353/aad.2012.0662

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Leppamaki, S., Haukka, J., Lönnqvist, J., and Partonen, T. (2004). Drop-out and mood improvement: a randomised controlled trial with light exposure and physical exercise. BMC Psychiatry 4:22. doi:10.1186/1471-244X-4-22

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Leppamaki, S., Partonen, T., and Lönnqvist, J. (2002). Bright-light exposure combined with physical exercise elevates mood. J. Affect. Disord. 72, 139–144. doi:10.1016/S0165-0327(01)00417-7

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Lewy, A. J., Kern, H. E., Rosenthal, N. E., and Wehr, T. A. (1982). Bright artificial light treatment of a manic-depressive patient with a seasonal mood disorder. Am. J. Psychiatry 139, 1495–1498.

Lewy, A. J., Sack, R. L., Miller, L. S., and Hoban, T. M. (1987). Antidepressant and circadian phase-shifting effects of light. Science 235, 352–354. doi:10.1126/science.3798117

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Li, J. D., Hu, W. P., and Zhou, Q. Y. (2009). Disruption of the circadian output molecule prokineticin 2 results in anxiolytic and antidepressant-like effects in mice. Neuropsychopharmacology 34, 367–373. doi:10.1038/npp.2008.61

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Liberzon, I., Phan, K. L., Decker, L. R., and Taylor, S. F. (2003). Extended amygdala and emotional salience: a PET activation study of positive and negative affect. Neuropsychopharmacology 28, 726–733. doi:10.1038/sj.npp.1300113

CrossRef Full Text

Lopez, A. D., and Murray, C. C. (1998). The global burden of disease, 1990–2020. Nat. Med. 4, 1241–1243. doi:10.1038/3218

CrossRef Full Text

Lorenzetti, V., Allen, N. B., Fornito, A., and Yucel, M. (2009). Structural abnormalities in major depressive disorder; a selective review of recent MRI studies. J. Affect. Disord. 117, 1–17. doi:10.1016/j.jad.2008.11.021

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Mackert, A., Volz, H. P., Stieglitz, R. D., and Muller-Oerlinghausen, B. (1991). Phototherapy in nonseasonal depression. Biol. Psychiatry 30, 257–268. doi:10.1016/0006-3223(91)90110-8

CrossRef Full Text

Magilvy, J. K. (1985). Experiencing hearing loss in later life, a comparison of deaf and hearing-impaired older women. Res. Nurs. Health 8, 347–353. doi:10.1002/nur.4770080407

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Marchand, W. R., Lee, J. N., Suchy, Y., Johnson, S., Thatcher, J., and Galea, P. (2012). Aberrant functional connectivity of cortico-basal ganglia circuits in major depression. Neurosci. Lett. 514, 86–90. doi:10.1016/j.neulet.2012.02.063

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Marchand, W. R., and Yurgelun-Todd, D. (2010). Striatal structure and function in mood disorders, a comprehensive review. Bipolar Disord. 12, 764–785. doi:10.1111/j.1399-5618.2010.00874.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Marchand, W. R., and Yurgelun-Todd, D. (2012). Aberrant functional connectivity of cortico-basal ganglia circuits in major depression. Neurosci. Lett. 514, 86–90. doi:10.1016/j.neulet.2012.02.063

CrossRef Full Text

Martinsen, E. W., Medhus, A., and Sandvik, L. (1985). Effects of aerobic exercise on depression, A controlled study. Br. Med. J. 291, 109–121. doi:10.1136/bmj.291.6488.109

CrossRef Full Text

Mayberg, H. S. (1997). Limbic–cortical dysregulation: a proposed model of depression. J. Neuropsychiatry Clin. Neurosci. 9, 471–481.

Pubmed Abstract | Pubmed Full Text

Mayberg, H. S., Lozano, A. M., Voon, V., McNeely, H. E., Seminowicz, D., Hamani, C., et al. (2005). Deep brain stimulation for clinical study treatment-resistant depression. Neuron 45, 651–660. doi:10.1016/j.neuron.2005.02.014

CrossRef Full Text

McDonald, J. J., and Ward, L. M. (2000). Involuntary listening aids seeing: evidence from human electrophysiology. Psychol. Sci. 11, 167–171. doi:10.1111/1467-9280.00233

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

McDonald, R. J., Yim, T. T., Lehmann, H., Sparks, F. T., Zelinski, E. L., Sutherland, R. J., et al. (2010). Expression of a conditioned place preference or spatial navigation task following muscimol-induced inactivations of the amygdala or dorsal hippocampus: a double dissociation in the retrograde direction. Brain Res. Bull. 83, 29–37. doi:10.1016/j.brainresbull

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

McEwen, B. S. (2005). Glucocorticoids, depression, and mood disorders: structural remodeling in the brain. Metab. Clin. Exp. 54, 20–23. doi:10.1016/j.metabol.2005.01.008

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

McGaugh, J. L., Cahill, L., and Roozendaal, B. (1996). Involvement of the amygdala in memory storage: interaction with other brain systems. Proc. Natl. Acad. Sci. U.S.A. 93, 13508–13514. doi:10.1073/pnas.93.24.13508

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

McGurk, H., and MacDonald, J. (1976). Hearing lips and seeing voices. Nature 264, 746–748. doi:10.1038/264746a0

CrossRef Full Text

McIntyre, C. K., McGaugh, J. L., and Williams, C. L. (2012). Interacting brain systems modulate memory consolidation. Neurosci. Biobehav. Rev. 36, 1750–1762. doi:10.1016/j.neubiorev.2011.11.001

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Midzyanovskaya, I. S., Kutnetsova, G. D., Luijtelaar, E. L. M. J., van Rijn, C. M., Tuomisto, L., and MacDonald, E. (2006). The brain 5Htergic response to an acute sound stress in rats with generalized (absence and audiogenic) epilepsy. Brain Res. Bull. 69, 631–638. doi:10.1016/j.brainresbull.2006.03.008

CrossRef Full Text

Mitterschiffthaler, M. T., Fu, C. H. Y., Dalton, J. A., Andrew, C. M., and Williams, S. C. R. (2007). Functional MRI study of happy and sad – affective states induced by classical music. Hum. Brain Mapp. 28, 1150–1162. doi:10.1002/hbm.20337

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Molina-Hernandez, M., and Tellez-Alcantara, P. (2000). Long-photoperiod regimen may produce antidepressant actions in the male rat. Prog. Neuropsychopharmacol. Biol. Psychiatry 24, 105–116. doi:10.1016/S0278-5846(99)00084-6

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Mor, N., and Winquist, J. (2002). Self-focused attention and negative affect: a meta-analysis. Psychol. Bull. 128, 638–662. doi:10.1037/0033-2909.128.4.638

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Morris, M., Steinberg, H., Sykes, E., and Salmon, P. (1990). Effects of temporary withdrawal from regular running. J. Psychosom. Res. 34, 493–500. doi:10.1016/0022-3999(90)90023-W

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Murrough, J. W., and Charney, D. S. (2012). Is there anything really novel on the antidepressant horizon. Curr. Psychiatry Rep. 14, 643–649. doi:10.1007/s11920-012-0321-8

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Nahm, F. K. D., Tranel, D., Damasio, H., and Damasio, A. R. (1993). Cross-modal associations and the human amygdala. Neuropsychologia 31, 727–744. doi:10.1016/0028-3932(93)90125-J

CrossRef Full Text

Nakashita, S., Saito, D. N., Kochiyama, T., Honda, M., Tanabe, H. C., and Sadato, N. (2008). Tactile-visual integration in the posterior parietal cortex: a functional magnetic resonance imaging study. Brain Res. Bull. 75, 513–525. doi:10.1016/j.brainresbull.2007.09.004

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Naqvi, F., Haider, S., Batool, Z., Perveen, T., and Haleem, D. J. (2012). Sub-chronic exposure to noise affects locomotor activity and produces anxiogenic and depressive like behaviour in rats. Pharmacol. Rep. 64, 64–69.

Pubmed Abstract | Pubmed Full Text

Naugle, K. M., Hass, C. J., Joyner, J., Coombes, S. A., and Janelle, C. M. (2011). Emotional state affects the initiation of forward gait. Emotion 11, 267–277. doi:10.1037/a0022577

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Nelson, J. C. (2000). Augmentation strategies in depression 2000. J. Clin. Psychiatry 61(Suppl. 2), 13–19.

Nestler, E. J., Barrot, M., DiLeone, R. J., Eisch, A. J., Gold, S. J., and Monteggia, L. M. (2002). Neurobiology of depression. Neuron 34, 13–25. doi:10.1016/S0896-6273(02)00653-0

CrossRef Full Text

North, A. C. (2012). The effect of background music and the taste of wine. Br. J. Psychol. 103, 293–301. doi:10.1111/j.2044-8295.2011.02072.x

CrossRef Full Text

Ongur, D., Drevets, W. D., and Price, J. L. (1998). Glial reduction in the subgenual prefrontal cortex in mood disorders. Proc. Natl. Acad. Sci. U.S.A. 95, 13290–13295. doi:10.1073/pnas.95.22.13290

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

O’Reardon, J. P., Solvason, H. B., Janicak, P. G., Sampson, S., Isenberg, K. E., Nahas, Z., et al. (2007). Efficacy and safety of transcranial magnetic stimulation in the acute treatment of major depression, a multisite randomized controlled trial. Biol. Psychiatry 62, 1208–1216. doi:10.1016/j.biopsych.2007.01.018

CrossRef Full Text

Oren, D. A., and Terman, M. (1998). Tweaking the human circadian clock with light. Science 279, 396–399. doi:10.1126/science.279.5349.333

CrossRef Full Text

Packard, M. G., and Gabriele, A. (2009). Peripheral anxiogenic drug injections differentially affect cognitive and habit memory: role of basolateral amygdala. Neuroscience 164, 457–462. doi:10.1016/j.neuroscience.2009.07.054

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Packard, M. G., and Teather, L. A. (1998). Amygdala modulation of multiple memory systems: hippocampus and caudate-putamen. Neurobiol. Learn. Mem. 69, 163–203. doi:10.1006/nlme.1997.3815

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Pandya, M., Altinay, M., Malone, D. A., and Ananad, A. (2012). Where in the brain Is depression? Curr. Psychiatry Rep. 14, 634–642. doi:10.1007/s11920-012-0322-7

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Partonen, T., and Lönnqvist, J. (2000). Bright light improves vitality and alleviates distress in healthy people. J. Affect. Disord. 57, 55–61. doi:10.1016/S0165-0327(99)00063-4

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Pessoa, L. (2011). Emotion and cognition and the amygdala: from “what is it?” to “what’s to be done?” Neuropsychologia 49, 681–694. doi:10.1016/j.neuropsychologia.2011.02.030

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Pezuk, P., Aydin, E., Aksoy, A., and Canbeyli, R. (2008). Effects of BNST lesions in female rats on forced swimming and navigational learning. Brain Res. 1228, 199–207. doi:10.1016/j.brainres.2008.06.071

CrossRef Full Text

Pezuk, P., Goz, D., Aksoy, A., and Canbeyli, R. (2006). BNST lesions aggravate behavioral despair but do not impair navigational learning in rats. Brain Res. Bull. 69, 416–421. doi:10.1016/j.brainresbull.2006.02.008

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Phan, K. L., Wager, T., Taylor, S. F., and Liberzon, I. (2002). Functional neuroanatomy of emotion, a meta-analysis of emotion activation studies in PET and fMRI. Neuroimage 16, 331–348. doi:10.1006/nimg.2002.1087

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Phelps, E. A., LaBar, K. S., and Spencer, D. D. (1997). Memory for emotional words following unilateral temporal lobectomy. Brain Cogn 35, 85–109.

Phelps, E. A., and LeDoux, J. E. (2005). Contributions of the amygdala to emotion processing, from animal models to human behavior. Neuron 48, 175–187. doi:10.1016/j.neuron.2005.09.025

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Phillips, M. L., Drevets, W. C., Rauch, S. L., and Lane, R. (2003a). Neurobiology of emotion perception I: the neural basis of normal emotion perception. Biol. Psychiatry 54, 504–514. doi:10.1016/S0006-3223(03)00168-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Phillips, M. L., Drevets, W. C., Rauch, S. L., and Lane, R. (2003b). Neurobiology of emotion perception II: implications for major psychiatric disorders. Biol. Psychiatry 54, 515–528. doi:10.1016/S0006-3223(03)00171-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Pignatiello, M. F., Camp, C. J., and Rasar, L. A. (1986). Musical mood induction: an alternative to the Velten technique. J. Abnorm. Psychol. 95, 295–297. doi:10.1037/0021-843X.95.3.295

CrossRef Full Text

Powell, E. W., and Lehman, R. B. (1976). Connections of the nucleus accumbens. Brain Res. 105, 389–403. doi:10.1016/0006-8993(76)90589-8

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Prendergast, B. J., and Nelson, R. J. (2005). Affective responses to changes in day length in Siberian hamsters (Phodopus sungorus). Pyschoneuroendocrinology 30, 438–452. doi:10.1016/j.psyneuen.2004.08.008

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Preskorn, S. H., and Drevets, W. C. (2009). Neuroscience basis of clinical depression: implications for future antidepressant drug treatment. J. Psychiatr. Pract. 15, 125–132. doi:10.1097/01.pra.0000348365.96300.07

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Price, J. L., and Drevets, W. C. (2010). Neurocircuitry of mood disorders. Neuropsychopharmacology 35, 192–216. doi:10.1038/npp.2009.104

CrossRef Full Text

Putnam, K. M., and McSweeney, L. B. (2008). Depressive symptoms and baseline prefrontal EEG alpha activity. A study utilizing ecological momentary assessment. Biol. Psychol. 77, 237–240. doi:10.1016/j.biopsycho.2007.10.010

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Pyter, L. M., and Nelson, R. J. (2006). Enduring effects of photoperiod on affective behaviors in Siberian hamsters (Phodopus sungorus). Behav. Neurosci. 120, 125–134. doi:10.1037/0735-7044.120.1.125

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Radley, J. J., Arias, C. M., and Sawchenko, P. E. (2006). Regional differentiation of the medial prefrontal cortex in regulating adaptive responses to acute emotional stress. J. Neurosci. 26, 12967–12976. doi:10.1523/JNEUROSCI.4297-06.2006

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Rasia-Filho, A. A., Londero, R. G., and Achaval, M. (2000). Functional activities of the amygdala: an overview. J. Psychiatry Neurosci. 25, 14–23.

Pubmed Abstract | Pubmed Full Text

Ray, R. D., Ochsner, K. N., Cooper, J. C., Robertson, E. R., Gabrieli, J. D., and Gross, J. J. (2005). Individual differences in trait rumination and the neural systems supporting cognitive reappraisal. Cogn. Affect. Behav. Neurosci. 5, 156–168. doi:10.3758/CABN.5.2.156

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Richardson, M. P., Strange, B. A., and Dolan, R. J. (2004). Encoding of emotional memories depends on amygdala and hippocampus and their interactions. Nat. Neurosci. 7, 278–285. doi:10.1038/nn1190

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Richter-Levin, G., and Akirav, I. (2003). Emotional tagging of memory formation – in the search for neural mechanisms. Brain Res. Rev. 43, 247–256. doi:10.1016/j.brainresrev.2003.08.005

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Ro, T., Wallace, R., Hagedorn, J., Farne, A., and Pienkos, E. (2004). Visual enhancing of tactile perception in the posterior parietal cortex. J. Cogn. Neurosci. 16, 24–30. doi:10.1162/089892904322755520

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Roberts, J. E., Gilboa, E., and Gotlib, I. C. H. (1998). Ruminative response style and vulnerability to episodes of dysphoria: gender, neuroticism, and episode duration. Cogn. Ther. Res. 22, 401–423. doi:10.1023/A:1018713313894

CrossRef Full Text

Romanski, L. M., and LeDoux, J. E. (1993). Information cascade from primary auditory cortex to the amygdala, corticocortical and corticoamygdaloid projections of temporal cortex in the rat. Cereb. Cortex 3, 515–532. doi:10.1093/cercor/3.6.515

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Rosenthal, N. E., Sack, D. A., Gillin, J. C., Lewy, A. J., Goodwin, F. K., Davenport, Y., et al. (1984). Seasonal affective disorder: a description of the syndrome and preliminary findings with light therapy. Arch. Gen. Psychiatry 41, 72–80. doi:10.1001/archpsyc.1984.01790120076010

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Rosenthal, N. E., and Wehr, T. A. (1992). Towards understanding the mechanism of action of light in seasonal affective disorder. Pharmacopsychiatry 25, 56–60. doi:10.1055/s-2007-1014389

CrossRef Full Text

Rovner, B. W., Casten, R. J., and Tasman, W. S. (2002). Effect of depression on vision function in age-related macular degeneration. Arch. Ophthalmol. 120, 1041–1044. doi:10.1001/archopht.120.8.1041

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Rovner, B. W., and Shmuely-Dulitzki, Y. (1997). Screening for depression in low-vision elderly. Int. J. Geriatr. Psychiatry 12, 955–959. doi:10.1002/(SICI)1099-1166(199709)12:9<955::AID-GPS672>3.0.CO;2-5

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Rush, A. J., and Thase, M. E. (1977). Strategies and tactics in the treatment of chronic depression. J. Clin. Psychiatry 58, 14–22.

Russchen, F. T., and Price, J. L. (1985). Amygdalostriatal projections in the rat. Topographical organization and fiber morphology shown using the lectin PHA-L as an anterograde tracer. Neurosci. Lett. 47, 15–22. doi:10.1016/0304-3940(84)90379-3

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Russell, J. A. (1980). A circumplex model of affect. J. Pers. Soc. Psychol. 39, 1161–1178. doi:10.1037/h0077714

CrossRef Full Text

Russell, J. A. (2003). Core affect and the psychological construction of emotion. Psychol. Rev. 110, 145–172. doi:10.1037/0033-295X.110.1.145

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Sackeim, H. A. (2000). Repetitive transcranial magnetic stimulation: what are the next steps? Biol. Psychiatry 48, 959–961. doi:10.1016/S0006-3223(00)01064-7

CrossRef Full Text

Saenz, M., Lewis, L. B., Huth, A. G., Fine, I., and Koch, C. (2008). Visual motion area MT+/V5 responds to auditory motion in human sight-recovery subjects. J. Neurosci. 28, 5141–5148. doi:10.1523/JNEUROSCI.0803-08.2008

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Sanacora, G., Trecanni, G., and Popoli, M. (2012). Towards a glutamate hypothesis of depression: an emerging frontier of neuropsychopharmacology for mood disorders. Neuropharmacology 62, 63–77. doi:10.1016/j.neuropharm.2011.07.036

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Sander, D., Grafman, J., and Zalla, T. (2003). The human amygdala: an evolved system for relevance detection. Rev. Neurosci. 14, 303–316.

Pubmed Abstract | Pubmed Full Text

Scheerer, E. (1987). The unknown Fechner. Psychol. Res. 49, 197–202. doi:10.1007/BF00309026

CrossRef Full Text

Schmidt, L., Melin, M. L. C., Lafargue, G., Balabregue, R., Fossati, P., Dubois, B., et al. (2009). Get aroused and be stronger: emotional facilitation of physical effort in the human brain. J. Neurosci. 29, 9450–9457. doi:10.1523/JNEUROSCI.1951-09.2009

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Schulz, D., Aksoy, A., and Canbeyli, R. (2008). Behavioral despair is differentially affected by the length and timing of photic stimulation in the dark phase of an L/D cycle. Prog. Neuropsychopharmacol. Biol. Psychiatry 32, 1257–1262. doi:10.1016/j.pnpbp.2008.03.019

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Schulz, D., and Canbeyli, R. S. (2001). Lesion of the bed nucleus of the stria terminalis enhances learned despair. Brain Res. Bull. 52, 83–87. doi:10.1016/S0361-9230(00)00235-5

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Sergerie, K., Chochol, C., and Armony, J. L. (2008). The role of the amygdala in emotional processing: a quantitative meta-analysis of functional neuroimaging studies. Neurosci. Biobehav. Rev. 32, 811–830. doi:10.1016/j.neubiorev.2007.12.002

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Sheline, Y. I., Barch, D. M., Donnelly, J. M., Ollinger, J. M., Snyder, A. Z., and Mintun, M. A. (2001). Increased amygdala response to masked emotional faces in depressed subjects resolves with antidepressant treatment: an fMRI study. Biol. Psychiatry 50, 651–658. doi:10.1016/S0006-3223(01)01263-X

CrossRef Full Text

Shmuely-Dulitzki, Y., and Rovner, B. W. (1997). Screening for depression in older persons with low vision. Somatic eye symptoms and the geriatric depression scale. Am. J. Geriatr. Psychiatry 5, 216–220. doi:10.1097/00019442-199700530-00005

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Siegle, G. J., Carter, C. S., and Thase, M. E. (2006). Use of FMRI to predict recovery from unipolar depression with cognitive behavior therapy. Am. J. Psychiatry 163, 735–738. doi:10.1176/appi.ajp.163.4.735

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Siegle, G. J., Steinhauer, S. R., Thase, M. E., Stenger, A., and Carter, C. S. (2002). Can’t shake that feeling: event-related fMRI assessment of sustained amygdala activity in response to emotional information in depressed individuals. Biol. Psychiatry 51, 693–707. doi:10.1016/S0006-3223(02)01314-8

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Silke, A., Eippert, F., Weiskopf, N., and Veit, R. (2008). The human amygdala is sensitive to the valence of pictures and sounds irrespective of arousal: an fMRI study. Soc. Cogn. Affect. Neurosci. 3, 233–243. doi:10.1093/scan/nsn017

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Singh, V. B., Corley, K. C., Phan, T.-H., and Boadle-Biber, M. C. (1990a). Increases in the activity of the tryptophan hydroxylase from rat cortex and midbrain in response to acute or repeated sound stress are blocked by adrenalectomy and restored by dexamethasone treatment. Brain Res. 516, 66–76. doi:10.1016/0006-8993(90)90898-L

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Singh, V. B., Onaivi, E. S., Phan, T.-H., and Boadle-Biber, M. C. (1990b). The increases in rat cortical and midbrain tryptophan hydroxylase activity in response to acute or repeated sound stress are blocked by bilateral lesions to the central nucleus of the amygdala. Brain Res. 530, 49–53. doi:10.1016/0006-8993(90)90656-V

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Smith, J. L., and Noon, J. (1998). Objective measurement of mood change induced by contemporary music. J. Psychiatr. Ment. Health Nurs. 5, 403–408. doi:10.1046/j.1365-2850.1998.00148.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Soares, J. C., and Mann, J. J. (1997). The functional neuroanatomy of mood disorders. J. Psychiatr. Res. 31, 393–432. doi:10.1016/S0022-3956(97)00016-2

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Solberg, L. C., Horton, T. H., and Turek, F. W. (1999). Circadian rhythms and depression, effects of exercise in an animal model. Am. J. Physiol. 276, R152–R161.

Pubmed Abstract | Pubmed Full Text

Spasojevic, J., and Alloy, L. B. (2001). Rumination as a common mechanism relating depressive risk to depression. Emotion 1, 25–37. doi:10.1037/1528-3542.1.1.25

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Steinberg, G., Lipton, D. S., Eckhardt, E. A., Goldstein, M., and Sullivan, J. (1998). The diagnostic interview schedule for deaf patients on interactive video: a preliminary investigation. Am. J. Psychiatry 155, 1603–1604.

Pubmed Abstract | Pubmed Full Text

Stephens, S. D., and Halam, R. S. (1985). The Crown-Crisp experimental index in patients complaining of tinnitus. Br. J. Audiol. 19, 151–158. doi:10.3109/03005368509078968

CrossRef Full Text

Stevens, S. S. (1970). Neural events and the psychophysical law. Science 170, 1043–1050. doi:10.1126/science.170.3962.1043

CrossRef Full Text

Sullivan, M. D., Katon, W., Dobie, R., Sakai, C., Russo, J., and Harrop-Griffiths, J. (1988). Disabling tinnitus, association with affective disorder. Gen. Hosp. Psychiatry 10, 285–291. doi:10.1016/0163-8343(88)90037-0

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Surguladze, S. A., Brammer, M. J., Young, A. W., Andrew, C., Travis, M. J., Williams, S. C., et al. (2003). A preferential increase in the extrastriate response to signals of danger. Neuroimage 19, 1317–1328. doi:10.1016/S1053-8119(03)00085-5

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Szabadi, E., Bradshaw, C. M., and Besson, J. A. O. (1976). Elongation of pause-time in speech: a simple, objective measure of motor retardation in depression. Br. J. Psychiatry 129, 592–597. doi:10.1192/bjp.129.6.592

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Tafet, G. E., and Bernardini, R. (2003). Psychoneuroendocrinological links between chronic stress and depression. Prog. Neuropsychopharmacol. Biol. Psychiatry 27, 893–903. doi:10.1016/S0278-5846(03)00162-3

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Tataroglu, O., Aksoy, A., Yilmaz, A., and Canbeyli, R. (2004). Effect of lesioning the suprachiasmatic nuclei on behavioral despair in rats. Brain Res. 1001, 118–124. doi:10.1016/j.brainres.2003.11.063

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Taylor-Clarke, M., Kennett, S., and Haggard, P. (2002). Vision modulates somatosensory cortical processing. Curr. Biol. 12, 233–236. doi:10.1016/S0960-9822(01)00681-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Tekin, S., and Cummings, J. L. (2002). Frontal-subcortical neuronal circuits and clinical neuropsychiatry: an update. J. Psychosom. Res. 53, 647–654. doi:10.1016/S0022-3999(02)00428-2

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Tettamanti, M., Rognoni, E., Cafiero, R., Costa, T., Galati, D., and Perani, D. (2012). Distinct pathways of neural coupling for different basic emotions. Neuroimage 59, 1804–1817. doi:10.1016/j.neuroimage.2011.08.018

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Teychenne, M., Ball, K., and Salmon, J. (2008). Physical activity and likelihood of depression in adults: a review. Prev. Med. 46, 397–411. doi:10.1016/j.ypmed

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Thompson, W. F., Schellenberg, E. G., and Husain, G. (2001). Arousal, mood, and the Mozart effect. Psychol. Sci. 12, 248–251. doi:10.1111/1467-9280.00345

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Tornek, A., Field, T., Hernandez-Reif, M., Diego, M., and Jones, N. (2003). Music effects on EEG in intrusive and withdrawn mothers with depressive symptoms. Psychiatry 66, 234–243.

Pubmed Abstract | Pubmed Full Text

Trivedi, M. H., Greer, T. L., Granneman, B. D., Chambliss, H., and Jordan, A. N. (2006a). Exercise as an augmentation strategy for treatment of major depression. J. Psychiatr. Pract. 12, 205–213. doi:10.1097/00131746-200607000-00002

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Trivedi, M. H., Rush, A. J., Wisniewski, S. R., Nierenberg, A. A., Warden, D., Ritz, L., et al. (2006b). STAR∗D Study Team. Evaluation of outcomes with citalopram for depression using measurement-based care in STAR∗D: implications for clinical practice. Am. J. Psychiatry 163, 28–40. doi:10.1176/appi.ajp.163.1.28

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Vrang, N., Larsen, P. J., Moller, M., and Mikkelsen, J. D. (1995). Topographical organization of the rat suprachiasmatic–paraventricular projection. J. Comp. Neurol. 353, 585–603. doi:10.1002/cne.903530409

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Walsh, R. N., and Cummins, R. A. (1976). The open field test: a critical review. Psychol. Bull. 83, 482–504. doi:10.1037/0033-2909.83.3.482

CrossRef Full Text

Wang, Y., Celebrini, S., Trotter, Y., and Barone, P. (2008). Visuo-auditory interactions in the primary visual cortex of the behaving monkey: electrophysiological evidence. BMC Neurosci. 9:79. doi:10.1186/1471-2202-9-79

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Watanabe, K., and Shimojo, S. (2001). When sound affects vision: effects of auditory grouping on visual motion perception. Psychol. Sci. 12, 109–116. doi:10.1111/1467-9280.00319

CrossRef Full Text

Watt, J. D., and Davis, F. E. (1991). The prevalence of boredom proneness and depression among profoundly deaf residential school adolescents. Am. Ann. Deaf 136, 409–413. doi:10.1353/aad.2012.0470

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Watts, A. G., and Swanson, L. W. (1987). Efferent projections of the suprachiasmatic nucleus, II. Studies using retrograde transport of fluorescent dyes and simultaneous peptide immunohistochemistry in the rat. J. Comp. Neurol. 258, 230–252. doi:10.1002/cne.902580204

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Watts, A. G., Swanson, L. W., and Sanchez-Watts, G. (1987). Efferent projections of the suprachiasmatic nucleus, I. Studies using anterograde transport Phaseolus vulgaris leucoagglutinin in the rat. J. Comp. Neurol. 258, 204–229. doi:10.1002/cne.902580204

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Wehr, T. A., and Wirz-Justice, A. (1982). Circadian rhythm mechanisms in affective illness and in antidepressant drug action. Pharmacopsychiatry 1, 31–39. doi:10.1055/s-2007-1019506

CrossRef Full Text

Weiss, B. L., Foster, F. G., Reynolds, C. F. I., and Kupfer, D. J. (1974). Psychomotor activity in mania. Arch. Gen. Psychiatry 31, 379–383. doi:10.1001/archpsyc.1974.01760150083012

CrossRef Full Text

Weiss, J. M., Demetrikopoulos, M. K., McCurdy, P. M., West, C. H., and Bonsall, K. (2000). “Depression seen through an animal model, an expanded hypothesis of pathophysiology and improved models,” in Anxiety, Depression and Emotion, ed. R. J. Davidson (Oxford, NY: University Press), 3–35.

Whalen, P. J., Shin, L. M., McInerney, S. C., Fischer, H., Wright, C. I., and Rauch, S. L. (2001). A functional MRI study of human amygdala responses to facial expressions of fear versus anger. Emotion 1, 70–83. doi:10.1037/1528-3542.1.1.70

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Willner, P. (1995). Animal models of depression, validity and applications. Adv. Biochem. Psychopharmacol. 49, 19–41.

Willner, P., Muscat, R., and Papp, M. (1992). Chronic mild stress-induced anhedonia: a realistic animal model of depression. Neurosci. Biobehav. Rev. 16, 525–534. doi:10.1016/S0149-7634(05)80194-0

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Workman, J. L., Manny, N., Walton, J. C., and Nelson, R. J. (2011). Short day lengths alter stress and depressive-like responses, and hippocampal morphology in Siberian hamsters. Horm. Behav. 60, 520–528. doi:10.1016/j.yhbeh.2011.07.021

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Yilmaz, A., Aksoy, A., and Canbeyli, R. (2004). A single day of constant light (L/L) provides immunity to behavioral despair in female rats maintained on an L/D cycle. Prog. Neuropsychopharmacol. Biol. Psychiatry 28, 1261–1265. doi:10.1016/j.pnpbp.2004.06.011

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Zald, D. H. (2003). The human amygdala and the emotional evaluation of sensory stimuli. Brain Res. Rev. 41, 88–123. doi:10.1016/S0165-0173(02)00248-5

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Zazove, P., Meador, H. E., Aikens, J. E., Nease, D. E., and Gorenflo, D. W. (2006). Assessment of depressive symptoms in deaf persons. J. Am. Board Fam. Med. 19, 141–147. doi:10.3122/jabfm.19.2.141

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Zellner, D. A., and Kautz, M. A. (1990). Color affects perceived odor intensity. J. Exp. Psychol. Hum. Percept. Perform. 16, 391–397. doi:10.1037/0096-1523.16.2.391

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Zellner, D. A., and Whitten, L. A. (1999). The effect of color intensity and appropriateness on color-induced odor enhancement. Am. J. Psychol. 112, 585–604. doi:10.2307/1423652

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Zheng, H., Liu, Y., Li, W., Yang, B., Chen, D., Wang, X., et al. (2006). Beneficial effects of exercise and its molecular mechanisms on depression in rats. Behav. Brain Res. 168, 47–55. doi:10.1016/j.bbr.2005.10.007

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text

Keywords: depression, amygdala, mood regulation, sensorimotor activation, physical exercise, affective neurocircuitry

Citation: Canbeyli R (2013) Sensorimotor modulation of mood and depression: in search of an optimal mode of stimulation. Front. Hum. Neurosci. 7:428. doi: 10.3389/fnhum.2013.00428

Received: 20 April 2013; Paper pending published: 03 June 2013;
Accepted: 15 July 2013; Published online: 30 July 2013.

Edited by:

Bruna Velasques, Federal University of Rio de Janeiro, Brazil

Reviewed by:

Bogdan Draganski, University Lausanne, Switzerland
Donatella Spinelli, Università di Roma Foro Italico, Italy

Copyright: © 2013 Canbeyli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Resit Canbeyli, Psychobiology Laboratory, Department of Psychology, Bogazici University, 34342 Bebek, Istanbul, Turkey e-mail: canbeyli@boun.edu.tr

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