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ORIGINAL RESEARCH article

Front. Aging Neurosci., 02 August 2017
Sec. Neurocognitive Aging and Behavior
Volume 9 - 2017 | https://doi.org/10.3389/fnagi.2017.00236

Disconnectivity between Dorsal Raphe Nucleus and Posterior Cingulate Cortex in Later Life Depression

Toshikazu Ikuta1* Koji Matsuo2 Kenichiro Harada2 Mami Nakashima2,3 Teruyuki Hobara2,4 Naoko Higuchi2 Fumihiro Higuchi2 Koji Otsuki2 Tomohiko Shibata2,5 Toshio Watanuki2 Toshio Matsubara2,6 Hirotaka Yamagata2 Yoshifumi Watanabe2
  • 1Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, United States
  • 2Division of Neuropsychiatry, Department of Neuroscience, Graduate School of Medicine, Yamaguchi University, Ube, Japan
  • 3Nagato-Ichinomiya Hospital, Shimonoseki, Japan
  • 4Department of Psychiatry, Yamaguchi Grand Medical Center, Hofu, Japan
  • 5Shinwaen Hospital, Onoda, Japan
  • 6Health Administration Center, Yamaguchi University Organization for University Education, Yamaguchi City, Japan

The dorsal raphe nucleus (DRN) has been repeatedly implicated as having a significant relationship with depression, along with its serotoninergic innervation. However, functional connectivity of the DRN in depression is not well understood. The current study aimed to isolate functional connectivity of the DRN distinct in later life depression (LLD) compared to a healthy age-matched population. Resting state functional magnetic resonance imaging (rsfMRI) data from 95 participants (33 LLD and 62 healthy) were collected to examine functional connectivity from the DRN to the whole brain in voxel-wise fashion. The posterior cingulate cortex (PCC) bilaterally showed significantly smaller connectivity in the LLD group than the control group. The DRN to PCC connectivity did not show any association with the depressive status. The findings implicate that the LLD involves disruption of serotoninergic input to the PCC, which has been suggested to be a part of the reduced default mode network in depression.

Introduction

Disruption of the dorsal raphe nucleus (DRN) is implicated in depression, given that the DRN serves as the major source of 5-HT release in the brain. In neuroanatomical studies, the area of the DRN is reduced in major depression (Matthews and Harrison, 2012). The number and density of neurons in this region is higher in suicide victims (Underwood et al., 1999). Physiologically, serotonin transporter dysfunction has been found in the DRN of patients with major depression (Hahn et al., 2014), and binding potentials for the 5-HT1A receptor have been found to be reduced in depression (Drevets et al., 1999). Polymorphisms in 5-HT1A gene have been found to be associated with antidepressants (Kato et al., 2009). Genetic variations of tryptophan hydroxylase 2 (TPH2) are also associated with major depression (Zill et al., 2004), and are further found to be associated with TPH2 mRNA expression in the pons including the DRN (Lim et al., 2006). Single nucleotide polymorphisms of the 5-HT1A receptor and TPH2 have been suggested to interact with the severity of depression and respond to SSRIs (Serretti et al., 2011; Jacobsen et al., 2012). Meanwhile, the DRN is understood to be critical for the actions of antidepressants including SSRIs and tricyclics (Briley and Moret, 1993), as well as for the pathophysiology of depression.

Forebrain 5-HT projections originate in the DRN (Törk, 1990; Baker et al., 1991). Rodent models further support disruption of the DRN in depression. Genetically introducing serotonin transporter deficiency in the DRN induces depression-like behavior in mice (Lira et al., 2003). Social stress has also been shown to influence serotoninergic neurons in the DRN of rats that adopted a proactive coping strategy against stress (Wood et al., 2013). More recently, the volume of the raphe nuclei, as well as other monoaminergic regions, have been shown to be negatively correlated with social avoidance, which indexes stress susceptibility (Anacker et al., 2016) The DRN cells have inhibitory projections to the cortex, including the cingulate gyrus (Olpe, 1981), which is also implicated in depression (Bae et al., 2006; Wise et al., 2016).

The pathophysiology of Later-Life Depression (LLD) is considered to be in parallel to the pathology of depression in younger ages, though LLD has certain defining characteristics, such as less genetic influence (Brodaty et al., 2001; Alexopoulos, 2005). Antidepressants have been shown to be especially effective with LLD (Salzman et al., 2002; Schneider et al., 2003). Therefore, it can be hypothesized that the role of the DRN is substantial in the pathology of LDD. The role of the DRN in LLD, however, is not clearly understood.

Neuropathological change of the raphe nuclei has been implicated in depression. Neuronal loss in the raphe nucleus of older patients with depression has been found in a postmortem study (Tsopelas et al., 2011). Lesser gray matter concentration of the DRN was found in patients with major depression compared to the healthy control group (Lee et al., 2011). Patients who had transient relapse of depression induced by tryptophan depletion showed greater correlation between habenula-DRN co-activity compared to those patients who did not show relapse (Morris et al., 1999). Recently, studies in the functional connectivity of the DRN in humans have shown positive connectivity to cortical regions, illuminating 5-HT associated regions (Beliveau et al., 2015). Yet, functional connectivity of the DRN in depression or LLD has not been extensively studied. Here, in order to elucidate the functional connectivity of the DRN, we examined the resting state of functional connectivity in LLD in comparison to an age-matched control cohort. We hypothesized that the disrupted DRN connectivity would be found in regions whose connectivity manifests a signature role of the DRN in neuropathophysiology of LLD.

Materials and Methods

Participants

We examined a total of 95 individuals, including 33 LLD patients and 62 healthy age-matched participants. All patients met the DSM-IV criteria for major depressive disorder. Mean age of the LLD group was 60.40 (SD = 7.82) years, and healthy group 62.73 (7.43) years. Patients were recruited from Yamaguchi University Hospital; referred by area clinics and hospitals; and diagnosed by clinical interviews performed by senior psychiatrists, case conferences with psychiatrists, and structured interviews using the Mini International Neuropsychiatric Interview (MINI, Japanese version 5.0.0; Otsubo et al., 2005). Patients’ clinical demographics were obtained through a clinical interview. Patients with current or a history of substance abuse/dependence or other psychotic illnesses were excluded from the study. Healthy control participants were recruited from the community through local advertisements and word of mouth. Any healthy subject who had psychiatric illness was excluded through the MINI and clinical interviews. Participants with an immediate family member with a psychiatric disorder were also excluded. Exclusion criteria included ambidextrous or left handedness (Oldfield, 1971), MR imaging contraindications, presence of serious medical conditions, and hospitalization in the prior 6 months. Current mood states were assessed using the Structured Interview Guide for the Hamilton Depression Rating Scale (SIGH-D; Williams, 1988). Social functioning was assessed by the Global Assessment of Functioning scale (GAF; American Psychiatric Association, 2000). Participants with scores of 23 or below on the Mini-Mental State Examination were considered demented and excluded (Folstein et al., 1975). Through interviews, blood tests, and physical examinations, subjects with endocrinological disease, head trauma, neurological disease, a family history of hereditary neurological disorders, or other medical conditions (i.e., hypertension, diabetes, active liver disease, kidney problems, or respiratory problems) were also excluded from the study. LLD was defined as depression in patients over 50 years old at the time of study participation. The mean number of depressive episodes was 2.3 (1.8) in patients with LLD. Thirty patients were under medication at the time of study participation. Five patients were treated only with antidepressants; eight with antidepressants and first-generation antipsychotics; 12 with antidepressants and second-generation antipsychotics; two with an antidepressant and a mood stabilizer; with antidepressant, a second-generation antipsychotic, and a mood stabilizer; one with a second-generation antipsychotic; and one was with a mood stabilizer. Among the remaining three patients, one was drug-naïve, and the other two had been medication-free at least for the previous 4 years. The mean imipramine-equivalent dose among all the patients was 174.5 (151.3) mg. Most patients were under one or more antidepressant medications: SSRI-16; SNRI-14; Tricyclics-8; Others (mirtazapine, trazodone and mianserin)-13. This study was conducted in accordance with the latest version of the Declaration of Helsinki. This study was approved by the Yamaguchi University Institutional Review Board and written informed consent was obtained from all study participants.

Clinical Assessments

Current mood states were examined using the SIGH-D (Williams, 1988). To assess social functioning, the GAF (American Psychiatric Association, 2000) was used. Self-reported depression status was measured by the Beck Depression Inventory (BDI; Beck et al., 1961). To uniformly assess various antidepressant dosage Imipramine Equivalent Potency was calculated.

MRI Data Acquisition

A total of 204 echo-planner imaging (EPI) volumes were acquired on a Siemens Magnetom Skyra system (TR = 2500 ms, TE = 30 ms, matrix = 64 * 64, FOV = 220 mm, slice thickness = 4 mm, 34 continuous axial slices) as well as the MPRAGE structural volume (TR = 2300 ms, TE = 2.95 ms, flip angle = 9°, matrix = 256 × 256, FOV = 270 mm, 1.2 mm thick sagittal images).

MRI Data Processing

Script package from the 1000 Functional Connectomes Project1 (Biswal et al., 2010) was used for preprocessing and seed-voxel correlation matrix production whereby FSL2 and AFNI3 are called. Motion correction and spatial smoothing (6-mm FWHM Gaussian kernel) were carried out through preprocessing. Each individual rs-fMRI series was registered and normalized to MNI152 2 mm space via T1 volume. Through this registration, 12 affine parameters were created between rs-fMRI volume and MNI152 2 mm space, so that a seed ROI can be later registered to each individual rs-fMRI space. The rs-fMRI time series were band-pass filtered (between 0.005 Hz and 0.1 Hz). Each resting state volume was regressed by white matter and cerebrospinal fluid signal fluctuations as well as the six motion parameters.

The DRN seed was defined as a 32 mm3 region centered at [MNI: 0, −27, −9] following the literature (Kranz et al., 2012; Beliveau et al., 2015). From the DRN seed, voxel-wise connectivity analyses were conducted by the “singlesubjectRSFC fcon” script, whereby the time course is spatially averaged within the ROI so that correlations from the ROI to each individual voxel across the brain.

To compare the two groups, a Z statistic image was estimated where clusters were determined by a family-wise, error-corrected cluster significance threshold of p < 0.01 assuming a Gaussian random field for the Z-statistics.

In order to examine the association between the functional connectivity differences and status of depression, clusters that showed significant effect of group were tested for further association with depression scales within the LLD group. The mean Z-scores of a cluster were calculated and correlations between the mean score and each of the depression scales was tested.

Results

The LLD group showed significant indications of depression; BDI (control: 7.15 ± 4.71; LDD: 29.53 ± 11.45), GAF (control: 93.02 ± 4.72; LDD: 52.79 ± 6.19), and SIGH-D 17 (control: 0.81 ± 1.07; LDD: 21.87 ± 3.49), as well as their antidepressant medications assessed as imipramine equivalent potency (control: 0 ± 0; LDD: 193.64 ± 145.75).

The LLD group showed significantly lower functional connectivity between the DRN and bilateral posterior cingulate cortex (PCC). There was no other cluster that showed lower functional connectivity in the LLD group. The cluster had 301 voxels and the peak voxel (corrected p < 0.001) was at [MNI: −4 −30 26] (Figure 1). No region showed greater connectivity in the LLD group than the control group.

FIGURE 1
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Figure 1. Pink: the dorsal raphe nucleus (DRN) ROI. Blue: the cluster that showed lesser connectivity with the DRN ROI in patients compared to the control group.

In the LLD group, none of these depression scales (SIGH, BDI and GAF) or imipramine equivalent dose showed significant correlation to the functional connectivity between the DRN and cluster in the posterior cingulate cortices.

Discussion

This study aimed to isolate the functional connectivity patterns of the DRN distinct in LLD. Here, the DRN showed deficient functional connectivity to the PCC in LLD. The results illuminate the serotoninergic dysfunction that may influence LLD pathology, which is independent from the depressive status.

The current results are solely based on the functional connectivity between two distant regions, and therefore does not grant anatomical connections between two regions. However, serotoninergic projections from the DRN to PCC has been well-documented in rodents (Olpe, 1981; Finch et al., 1984; Kosofsky and Molliver, 1987). In humans, depressive symptoms in Parkinson’s disease have been found to be associated with 5-HT transporter binding in the raphe nuclei and PCC, as well as other limbic structures (Politis et al., 2010), suggesting the association between depression and raphe-cingulate 5-HT projections. The current findings are consistent with raphe-cingulate serotoninergic projections that have been shown to be anatomically present.

Dysfunctions of the PCC have repeatedly been found in depression (Zhou et al., 2010; Berman et al., 2011; Leech and Sharp, 2014). At the same time, SSRIs have been shown to ameliorate PCC deficits. Sertraline and fluoxetine increase glucose metabolism in the PCC, correlating with clinical improvement (Buchsbaum and Hazlett, 1997; Mayberg et al., 2000). In addition, administration of SSRIs has been found to increase the PCC volume in the non-depressed, healthy population (Kraus et al., 2014). The current results are consistent with the previous PCC findings in depression. In the non-depressed, human population, the PCC has been shown to mediate emotion and memory related processes (Maddock et al., 2003), implicating its importance to mood disorders whereby impacts of emotional input are amplified. The PCC has been suggested to be associated with social/contextual self-reflection, duties or obligations, and autobiographical memory, suggesting PCC’s role in self rumination (Johnson et al., 2006, 2009; Svoboda et al., 2006; Herwig et al., 2012). The current results support the understanding that serotoninergic dysfunction at the DRN underlies LLD by showing the disruption of the connectivity between the DRN and PCC in LLD.

The PCC in non-depressed population has also been shown to play critical roles in the default mode network (Fox et al., 2005; Buckner et al., 2008; Fransson and Marrelec, 2008; Uddin et al., 2009). The PCC is one of the regions that is more active at rest than during a task (Buckner et al., 2008). Furthermore, the PCC activity negatively predicts the motor-control network (Uddin et al., 2009), implicating the importance of the PCC during rest. It may imply that the PCC may mediate cognitive process of rest through the default mode network. Remarkably, the default mode network has been found to be suppressed in major depressive disorder (Sheline et al., 2009).

The functional connectivity between the DRN and PCC was not significantly associated with any of depression scales or antidepressant dose, while LLD group showed significantly lesser connectivity compared to the control group. It may suggest that the reduced DRN-PCC functional connectivity is a trait characteristic of depression independent from the depressive state. The association between depressive traits and the PCC has previously been implicated. In a task fMRI study, greater activation of the PCC in depression was found during negative rumination tasks, compared to the healthy control group (Cooney et al., 2010). Increased dominance of the default mode network in depression, compared to the task positive network, was associated with higher levels of depressive rumination (Hamilton et al., 2011). Decreased connectivity of the PCC to the default mode network in depression has also been found in a resting state fMRI study and was associated with over general autobiographical memory (Zhu et al., 2012). Taken together, the PCC in depression is associated with negative rumination. Recall that the raphe serotoninergic projection to the PCC is inhibitory (Olpe, 1981). Our results can imply that decreased DRN-PCC connectivity reflect lesser inhibitory inputs to the PCC, which would downregulate negative rumination.

The imprecision of the DRN seed needs to be addressed as the limitation of this study. The DRN seed was defined in 2 mm3 space, which would not have sufficient resolutions to exclusively isolate the DRN. It should also be recalled that 6 mm smoothing was applied. Therefore, the seed may contain other structures around the DRN. Specifically, the median raphe nucleus (MRN) may not be excluded. In the previous study that differentiated resting state connectivity of DRN and MRN (Beliveau et al., 2015), [11C]DASB PET data were acquired in each subject and the DRN and MRN were localized in each individual brain. As we did not obtain PET data, we have far coarse localization of the DRN. The current finding might not be exclusively attributed to the DRN but it may also include the greater raphe nuclei including MRN. It would be ideal to conduct a similar study with PET data for more precise localization of the DRN.

The MRN also possesses serotoninergic characteristics which implicates an association with depression (Bach-Mizrachi et al., 2008). MRN has also been shown to modulate emotional behaviors (López Hill et al., 2013). The association with the hippocampus has been found more in the MRN than DRN (Jacobs et al., 1974). Also, the MRN has known efferent to the cingulate cortex (Azmitia and Segal, 1978). It might be more appropriate to apprehend the finding as Raphe—PCC disconnectivity in LDD.

There are other limitations of this study that need to be addressed. The relationship between medication and functional connectivity is unclear. The findings may be the effect of medication as opposed to the effect of LLD. Studies examining a non-medicated population could better discriminate these possibilities. Though no association was found between the DRN-PCC connectivity and imipramine equivalent dose, it does not exclude the possibility for the influence of medication. In addition, the experience of being in an MRI scanner may have influenced the groups differently. LLD may trigger differential neuronal activation as a function of the experience.

In conclusion, this study found disconnectivity between the DRN and PCC in the LLD group that is consistent with serotoninergic dysfunction of the DRN in depression.

Author Contributions

KM and YW conceived and designed the experiments. KH, MN, TH, NH, FH, KO, TS, TW, TM and HY performed the experiments. TI, KM and KH analyzed the data and wrote the article.

Funding

This study was supported, in part, by the “Integrated Research on Neuropsychiatric Disorders” conducted under the Strategic Research Program for Brain Sciences from the MEXT and AMED (HY), Japan Society for the Promotion of Science (JSPS) KAKENHI (16K10189 to HY, 15K09832 to KM), and the GlaxoSmithKline (GSK) Japan Research Grant (to HY).

Conflict of Interest Statement

TI has received speaker’s honoraria from Eli Lilly, Daiichi Sankyo, and Dainippon Sumitomo. KM has received research donations from GlaxoSmithKline and Ohtsuka Pharmaceutical. YW has received research donations from MSD, GlaxoSmithKline, Eli Lilly and Company, Yoshitomiyakuhin, Shinogi, Pfizer, Janssen Pharma, Meiji Seika Pharma, FujiFilm RI Pharma, Takeda Pharmaceutical, Astellas, Dainippon Sumitomo Pharma, and Ohtsuka Pharmaceutical.

The other 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.

Footnotes

  1. ^ http://www.nitrc.org/projects/fcon_1000
  2. ^ http://www.fmrib.ox.ac.uk
  3. ^ http://afni.nimh.nih.gov/afni

References

Alexopoulos, G. S. (2005). Depression in the elderly. Lancet 365, 1961–1970. doi: 10.1016/S0140-6736(05)66665-2

PubMed Abstract | CrossRef Full Text | Google Scholar

American Psychiatric Association. (2000). Diagnostic and Statistical Manual of Mental Disorders. Fourth Edition, Text Revision (DSM-IV-TR). Washington, DC: American Psychiatric Association.

Google Scholar

Anacker, C., Scholz, J., O’Donnell, K. J., Allemang-Grand, R., Diorio, J., Bagot, R. C., et al. (2016). Neuroanatomic differences associated with stress susceptibility and resilience. Biol. Psychiatry 79, 840–849. doi: 10.1016/j.biopsych.2015.08.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Azmitia, E. C., and Segal, M. (1978). An autoradiographic analysis of the differential ascending projections of the dorsal and median raphe nuclei in the rat. J. Comp. Neurol. 179, 641–667. doi: 10.1002/cne.901790311

PubMed Abstract | CrossRef Full Text | Google Scholar

Bach-Mizrachi, H., Underwood, M. D., Tin, A., Ellis, S. P., Mann, J. J., and Arango, V. (2008). Elevated expression of tryptophan hydroxylase-2 mRNA at the neuronal level in the dorsal and median raphe nuclei of depressed suicides. Mol. Psychiatry 13, 507–513, 465. doi: 10.1038/sj.mp.4002143

PubMed Abstract | CrossRef Full Text | Google Scholar

Bae, J. N., MacFall, J. R., Krishnan, K. R. R., Payne, M. E., Steffens, D. C., and Taylor, W. D. (2006). Dorsolateral prefrontal cortex and anterior cingulate cortex white matter alterations in late-life depression. Biol. Psychiatry 60, 1356–1363. doi: 10.1016/j.biopsych.2006.03.052

PubMed Abstract | CrossRef Full Text | Google Scholar

Baker, K. G., Halliday, G. M., Hornung, J.-P., Geffen, L. B., Cotton, R. G. H., and Tork, I. (1991). Distribution, morphology and number of monoamine-synthesizing and substance P-containing neurons in the human dorsal raphe nucleus. Neuroscience 42, 757–775. doi: 10.1016/0306-4522(91)90043-n

PubMed Abstract | CrossRef Full Text | Google Scholar

Beck, A. T., Ward, C. H., Mendelson, M. M., Mock, J. J., and Erbaugh, J. J. (1961). An inventory for measuring depression. Arch. Gen. Psychiatry 4, 561–571. doi: 10.1001/archpsyc.1961.01710120031004

PubMed Abstract | CrossRef Full Text | Google Scholar

Beliveau, V., Svarer, C., Frokjaer, V. G., Knudsen, G. M., Greve, D. N., and Fisher, P. M. (2015). Functional connectivity of the dorsal and median raphe nuclei at rest. Neuroimage 116, 187–195. doi: 10.1016/j.neuroimage.2015.04.065

PubMed Abstract | CrossRef Full Text | Google Scholar

Berman, M. G., Peltier, S., Nee, D. E., Kross, E., Deldin, P. J., and Jonides, J. (2011). Depression, rumination and the default network. Soc. Cogn. Affect. Neurosci. 6, 548–555. doi: 10.1093/scan/nsq080

PubMed Abstract | CrossRef Full Text | Google Scholar

Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., et al. (2010). Toward discovery science of human brain function. Proc. Natl. Acad. Sci. U S A 107, 4734–4739. doi: 10.1073/pnas.0911855107

PubMed Abstract | CrossRef Full Text | Google Scholar

Briley, M., and Moret, C. (1993). Neurobiological mechanisms involved in antidepressant therapies. Clin. Neuropharmacol. 16, 387–400. doi: 10.1097/00002826-199310000-00002

PubMed Abstract | CrossRef Full Text | Google Scholar

Brodaty, H., Luscombe, G., Parker, G., Wilhelm, K., Hickie, I., Austin, M.-P., et al. (2001). Early and late onset depression in old age: different aetiologies, same phenomenology. J. Affect. Disord. 66, 225–236. doi: 10.1016/s0165-0327(00)00317-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Buchsbaum, M. S., and Hazlett, E. A. (1997). Functional brain imaging and aging in schizophrenia. Schizophr. Res. 27, 129–141. doi: 10.1016/s0920-9964(97)00076-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Buckner, R. L., Andrews-Hanna, J. R., and Schacter, D. L. (2008). The brain’s default network: anatomy, function, and relevance to disease. Ann. N Y Acad. Sci. 1124, 1–38. doi: 10.1196/annals.1440.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Cooney, R. E., Joormann, J., Eugène, 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 | CrossRef Full Text | Google Scholar

Drevets, W. C., Frank, E., Price, J. C., Kupfer, D. J., Holt, D., Greer, P. J., et al. (1999). Pet imaging of serotonin 1A receptor binding in depression. Biol. Psychiatry 46, 1375–1387. doi: 10.1016/s0006-3223(99)00189-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Finch, D. M., Derian, E. L., and Babb, T. L. (1984). Afferent fibers to rat cingulate cortex. Exp. Neurol. 83, 468–485. doi: 10.1016/0014-4886(84)90116-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Folstein, M. F., Folstein, S. E., and McHugh, P. R. (1975). “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12, 189–198. doi: 10.1016/0022-3956(75)90026-6

PubMed Abstract | CrossRef Full Text

Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., and Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U S A 102, 9673–9678. doi: 10.1073/pnas.0504136102

PubMed Abstract | CrossRef Full Text | Google Scholar

Fransson, P., and Marrelec, G. (2008). The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: evidence from a partial correlation network analysis. Neuroimage 42, 1178–1184. doi: 10.1016/j.neuroimage.2008.05.059

PubMed Abstract | CrossRef Full Text | Google Scholar

Hahn, A., Haeusler, D., Kraus, C., Höflich, A. S., Kranz, G. S., Baldinger, P., et al. (2014). Attenuated serotonin transporter association between dorsal raphe and ventral striatum in major depression. Hum. Brain Mapp. 35, 3857–3866. doi: 10.1002/hbm.22442

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamilton, J. P., Furman, D. J., Chang, C., Thomason, M. E., Dennis, E., and Gotlib, I. H. (2011). Default-mode and task-positive network activity in major depressive disorder: implications for adaptive and maladaptive rumination. Biol. Psychiatry 70, 327–333. doi: 10.1016/j.biopsych.2011.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Herwig, U., Kaffenberger, T., Schell, C., Jäncke, L., and Brühl, A. B. (2012). Neural activity associated with self-reflection. BMC Neurosci. 13:52. doi: 10.1186/1471-2202-13-52

PubMed Abstract | CrossRef Full Text | Google Scholar

Jacobs, B. L., Wise, W. D., and Taylor, K. M. (1974). Differential behavioral and neurochemical effects following lesions of the dorsal or median raphe nuclei in rats. An. Acad. Bras. Cienc. 79, 353–361. doi: 10.1016/0006-8993(74)90433-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Jacobsen, J. P. R., Medvedev, I. O., and Caron, M. G. (2012). The 5-HT deficiency theory of depression: perspectives from a naturalistic 5-HT deficiency model, the tryptophan hydroxylase 2Arg439His knockin mouse. Philos. Trans. R. Soc. Lond. B Biol. Sci. 367, 2444–2459. doi: 10.1098/rstb.2012.0109

PubMed Abstract | CrossRef Full Text | Google Scholar

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 | CrossRef Full Text | Google Scholar

Johnson, M. K., Raye, C. L., Mitchell, K. J., Touryan, S. R., Greene, E. J., and Nolen-Hoeksema, S. (2006). Dissociating medial frontal and posterior cingulate activity during self-reflection. Soc. Cogn. Affect. Neurosci. 1, 56–64. doi: 10.1093/scan/nsl004

PubMed Abstract | CrossRef Full Text | Google Scholar

Kato, M., Fukuda, T., Wakeno, M., Okugawa, G., Takekita, Y., Watanabe, S., et al. (2009). Effect of 5-HT1A gene polymorphisms on antidepressant response in major depressive disorder. Am. J. Med. Genet. B Neuropsychiatr. Genet. 150B, 115–123. doi: 10.1002/ajmg.b.30783

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosofsky, B. E., and Molliver, M. E. (1987). The serotoninergic innervation of cerebral cortex: different classes of axon terminals arise from dorsal and median raphe nuclei. Synapse 1, 153–168. doi: 10.1002/syn.890010204

PubMed Abstract | CrossRef Full Text | Google Scholar

Kranz, G. S., Hahn, A., Savli, M., and Lanzenberger, R. (2012). Challenges in the differentiation of midbrain raphe nuclei in neuroimaging research. Proc. Natl. Acad. Sci. U S A 109, E2000–E2000. doi: 10.1073/pnas.1206247109

PubMed Abstract | CrossRef Full Text | Google Scholar

Kraus, C., Ganger, S., Losak, J., Hahn, A., Savli, M., Kranz, G. S., et al. (2014). Gray matter and intrinsic network changes in the posterior cingulate cortex after selective serotonin reuptake inhibitor intake. Neuroimage 84, 236–244. doi: 10.1016/j.neuroimage.2013.08.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, H.-Y., Tae, W. S., Yoon, H.-K., Lee, B.-T., Paik, J.-W., Son, K.-R., et al. (2011). Demonstration of decreased gray matter concentration in the midbrain encompassing the dorsal raphe nucleus and the limbic subcortical regions in major depressive disorder: an optimized voxel-based morphometry study. J. Affect. Disord. 133, 128–136. doi: 10.1016/j.jad.2011.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Leech, R., and Sharp, D. J. (2014). The role of the posterior cingulate cortex in cognition and disease. Brain 137, 12–32. doi: 10.1093/brain/awt162

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, J.-E., Pinsonneault, J., Sadee, W., and Saffen, D. (2006). Tryptophan hydroxylase 2 (TPH2) haplotypes predict levels of TPH2 mRNA expression in human pons. Mol. Psychiatry 12, 491–501. doi: 10.1038/sj.mp.4001923

PubMed Abstract | CrossRef Full Text | Google Scholar

Lira, A., Zhou, M., Castanon, N., Ansorge, M. S., Gordon, J. A., Francis, J. H., et al. (2003). Altered depression-related behaviors and functional changes in the dorsal raphe nucleus of serotonin transporter-deficient mice. Biol. Psychiatry 54, 960–971. doi: 10.1016/s0006-3223(03)00696-6

PubMed Abstract | CrossRef Full Text | Google Scholar

López Hill, X., Pascovich, C., Urbanavicius, J., Torterolo, P., and Scorza, M. C. (2013). The median raphe nucleus participates in the depressive-like behavior induced by MCH: differences with the dorsal raphe nucleus. Peptides 50, 96–99. doi: 10.1016/j.peptides.2013.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Maddock, R. J., Garrett, A. S., and Buonocore, M. H. (2003). Posterior cingulate cortex activation by emotional words: fMRI evidence from a valence decision task. Hum. Brain Mapp. 18, 30–41. doi: 10.1002/hbm.10075

PubMed Abstract | CrossRef Full Text | Google Scholar

Matthews, P. R., and Harrison, P. J. (2012). A morphometric, immunohistochemical, and in situ hybridization study of the dorsal raphe nucleus in major depression, bipolar disorder, schizophrenia and suicide. J. Affect. Disord. 137, 125–134. doi: 10.1016/j.jad.2011.10.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Mayberg, H. S., Brannan, S. K., Tekell, J. L., Silva, J. A., Mahurin, R. K., McGinnis, S., et al. (2000). Regional metabolic effects of fluoxetine in major depression: serial changes and relationship to clinical response. Biol. Psychiatry 48, 830–843. doi: 10.1016/s0006-3223(00)01036-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Morris, J. S., Smith, K. A., Cowen, P. J., Friston, K. J., and Dolan, R. J. (1999). Covariation of activity in habenula and dorsal raphé nuclei following tryptophan depletion. Neuroimage 10, 163–172. doi: 10.1006/nimg.1999.0455

PubMed Abstract | CrossRef Full Text | Google Scholar

Oldfield, R. C. (1971). The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9, 97–113. doi: 10.1016/0028-3932(71)90067-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Olpe, H.-R. (1981). The cortical projection of the dorsal raphe nucleus: some electrophysiological and pharmacological properties. Brain Res. 216, 61–71. doi: 10.1016/0006-8993(81)91278-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Otsubo, T., Tanaka, K., Koba, R., Shinoda, J., Sano, N., Tanaka, S., et al. (2005). Reliability and validity of japanese version of the mini-international neuropsychiatric interview. Psychiatry Clin. Neurosci. 59, 517–526. doi: 10.1111/j.1440-1819.2005.01408.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Politis, M., Wu, K., Loane, C., Turkheimer, F. E., Molloy, S., Brooks, D. J., et al. (2010). Depressive symptoms in PD correlate with higher 5-HTT binding in raphe and limbic structures. Neurology 75, 1920–1927. doi: 10.1212/WNL.0b013e3181feb2ab

PubMed Abstract | CrossRef Full Text | Google Scholar

Salzman, C., Wong, E., and Wright, B. C. (2002). Drug and ECT treatment of depression in the elderly, 1996–2001: a literature review. Biol. Psychiatry 52, 265–284. doi: 10.1016/s0006-3223(02)01337-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider, L. S., Nelson, J. C., Clary, C. M., Newhouse, P., Krishnan, K. R. R., Shiovitz, T., et al. (2003). An 8-week multicenter, parallel-group, double-blind, placebo-controlled study of sertraline in elderly outpatients with major depression. Am. J. Psychiatry 160, 1277–1285. doi: 10.1176/appi.ajp.160.7.1277

PubMed Abstract | CrossRef Full Text | Google Scholar

Serretti, A., Chiesa, A., Porcelli, S., Han, C., Patkar, A. A., Lee, S.-J., et al. (2011). Influence of TPH2 variants on diagnosis and response to treatment in patients with major depression, bipolar disorder and schizophrenia. Psychiatry Res. 189, 26–32. doi: 10.1016/j.psychres.2011.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheline, Y. I., Barch, D. M., Price, J. L., Rundle, M. M., Vaishnavi, S. N., Snyder, A. Z., et al. (2009). The default mode network and self-referential processes in depression. Proc. Natl. Acad. Sci. U S A 106, 1942–1947. doi: 10.1073/pnas.0812686106

PubMed Abstract | CrossRef Full Text | Google Scholar

Svoboda, E., McKinnon, M. C., and Levine, B. (2006). The functional neuroanatomy of autobiographical memory: a meta-analysis. Neuropsychologia 44, 2189–2208. doi: 10.1016/j.neuropsychologia.2006.05.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Törk, I. (1990). Anatomy of the serotonergic systema. Ann. N Y Acad. Sci. 600, 9–34; discussion 34–35. doi: 10.1111/j.1749-6632.1990.tb16870.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsopelas, C., Stewart, R., Savva, G. M., Brayne, C., Ince, P., Thomas, A., et al. (2011). Neuropathological correlates of late-life depression in older people. Br. J. Psychiatry 198, 109–114. doi: 10.1192/bjp.bp.110.078816

PubMed Abstract | CrossRef Full Text | Google Scholar

Uddin, L. Q., Kelly, A. M., Biswal, B. B., Castellanos, F. X., and Milham, M. P. (2009). Functional connectivity of default mode network components: correlation, anticorrelation, and causality. Hum. Brain Mapp. 30, 625–637. doi: 10.1002/hbm.20531

PubMed Abstract | CrossRef Full Text | Google Scholar

Underwood, M. D., Khaibulina, A. A., Ellis, S. P., Moran, A., Rice, P. M., Mann, J. J., et al. (1999). Morphometry of the dorsal raphe nucleus serotonergic neurons in suicide victims. Biol. Psychiatry 46, 473–483. doi: 10.1016/s0006-3223(99)00043-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, J. W. (1988). A structured interview guide for the hamilton depression rating scale. Arch. Gen. Psychiatry 45, 742–747. doi: 10.1001/archpsyc.1988.01800320058007

PubMed Abstract | CrossRef Full Text | Google Scholar

Wise, T., Radua, J., Via, E., Cardoner, N., Abe, O., Adams, T. M., et al. (2016). Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis. Mol. Psychiatry doi: 10.1038/mp.2016.72 [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

Wood, S. K., Zhang, X.-Y., Reyes, B. A. S., Lee, C. S., Van Bockstaele, E. J., and Valentino, R. J. (2013). Cellular adaptations of dorsal raphe serotonin neurons associated with the development of active coping in response to social stress. Biol. Psychiatry 73, 1087–1094. doi: 10.1016/j.biopsych.2013.01.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Y., Yu, C., Zheng, H., Liu, Y., Song, M., Qin, W., et al. (2010). Increased neural resources recruitment in the intrinsic organization in major depression. J. Affect. Disord. 121, 220–230. doi: 10.1016/j.jad.2009.05.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, X., Wang, X., Xiao, J., Liao, J., Zhong, M., Wang, W., et al. (2012). Evidence of a dissociation pattern in resting-state default mode network connectivity in first-episode, treatment-naive major depression patients. Biol. Psychiatry 71, 611–617. doi: 10.1016/j.biopsych.2011.10.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Zill, P., Baghai, T. C., Zwanzger, P., Schüle, C., Eser, D., Rupprecht, R., et al. (2004). SNP and haplotype analysis of a novel tryptophan hydroxylase isoform (TPH2) gene provide evidence for association with major depression. Mol. Psychiatry 9, 1030–1036. doi: 10.1038/sj.mp.4001525

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: depression, neuroimaging, geriatric psychiatry, magnetic resonance imaging, dorsal raphe nucleus

Citation: Ikuta T, Matsuo K, Harada K, Nakashima M, Hobara T, Higuchi N, Higuchi F, Otsuki K, Shibata T, Watanuki T, Matsubara T, Yamagata H and Watanabe Y (2017) Disconnectivity between Dorsal Raphe Nucleus and Posterior Cingulate Cortex in Later Life Depression. Front. Aging Neurosci. 9:236. doi: 10.3389/fnagi.2017.00236

Received: 20 April 2017; Accepted: 06 July 2017;
Published: 02 August 2017.

Edited by:

Christos Frantzidis, Aristotle University of Thessaloniki, Greece

Reviewed by:

Bruno Pierre Guiard, University of Toulouse, France
Andrew James Greenshaw, University of Alberta, Canada

Copyright © 2017 Ikuta, Matsuo, Harada, Nakashima, Hobara, Higuchi, Higuchi, Otsuki, Shibata, Watanuki, Matsubara, Yamagata and Watanabe. 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: Toshikazu Ikuta, tikuta@olemiss.edu

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