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ORIGINAL RESEARCH article

Front. Neurol., 09 July 2015
Sec. Movement Disorders

Young Women do it Better: Sexual Dimorphism in Temporal Discrimination

Laura Jane Williams,&#x;Laura Jane Williams1,2† \r\nJohn S. Butler,&#x;John S. Butler3,4† \r\nAnna Molloy,Anna Molloy1,2 \r\nEavan McGovern,Eavan McGovern1,2 \r\nInes Beiser,Ines Beiser1,2 \r\nOkka Kimmich,Okka Kimmich1,2 \r\nBrendan Quinlivan,Brendan Quinlivan3,4 \r\nSean O&#x;Riordan,Sean O’Riordan1,2 \r\nMichael Hutchinson,*Michael Hutchinson1,2*Richard B. Reilly,,*\r\n   Richard B. Reilly3,4,5*
  • 1Department of Neurology, St. Vincent’s University Hospital, Dublin, Ireland
  • 2School of Medicine and Medical Science, University College Dublin, Dublin, Ireland
  • 3Trinity Centre for Bioengineering, Trinity College Dublin, Dublin, Ireland
  • 4School of Engineering, Trinity College Dublin, Dublin, Ireland
  • 5School of Medicine, Trinity College Dublin, Dublin, Ireland

The temporal discrimination threshold (TDT) is the shortest time interval at which two sensory stimuli presented sequentially are detected as asynchronous by the observer. TDTs are known to increase with age. Having previously observed shorter thresholds in young women than in men, in this work we sought to systematically examine the effect of sex and age on temporal discrimination. The aims of this study were to examine, in a large group of men and women aged 20–65 years, the distribution of TDTs with an analysis of the individual participant’s responses, assessing the “point of subjective equality” and the “just noticeable difference” (JND). These respectively assess sensitivity and accuracy of an individual’s response. In 175 participants (88 women) aged 20–65 years, temporal discrimination was faster in women than in men under the age of 40 years by a mean of approximately 13 ms. However, age-related decline in temporal discrimination was three times faster in women so that, in the age group of 40–65 years, the female superiority was reversed. The point of subjective equality showed a similar advantage in younger women and more marked age-related decline in women than men, as the TDT. JND values declined equally in both sexes, showing no sexual dimorphism. This observed sexual dimorphism in temporal discrimination is important for both (a) future clinical research assessing disordered mid-brain covert attention in basal-ganglia disorders, and (b) understanding the biology of this sexual dimorphism which may be genetic or hormonal.

Introduction

The temporal discrimination threshold (TDT) is the shortest time interval at which two sensory stimuli (visual, tactile, or auditory) presented sequentially are perceived as asynchronous by the observer. TDTs increase with age, being a mean of 25–30 ms <35 years of age and 35–40 ms in the 36–65 years age group (1, 2). Temporal discrimination is abnormal in disorders of basal ganglia dysfunction, including adult onset isolated focal dystonia (AOIFD) (19), Parkinson’s disease, and multiple systems atrophy (1014). Temporal discrimination is proposed as a measure of the midbrain-basal ganglia network for covert attentional orienting (15) and as a meditational endophenotype in AOIFD (1, 2, 4), a condition with an increased prevalence in women (F:M ratio 2:1) (16).

Covert orienting of attention involves the “bottom-up” processing of a salient stimulus. This involves a largely involuntary attentional shift under exogenous control. Particularly salient are abrupt onset stimuli or rapid looming environmental changes. The superior colliculus (SC) and its projections, involved in multisensory detection and integration, have been implicated as key pathways in the generation of covert attentional shifts (1719). Reflexive, covert attentional shifts, and their subsequent motor responses may have implications for survival, ranging from predator detection to navigating traffic.

During a temporal discrimination task, visual stimuli reach the wide-field sensory neurons of the SC by the extra-geniculate, retino-tectal pathway (15, 2022), and tactile stimuli via ascending somatosensory tracts, provoking covert shifts in attention. We postulate that the level of detection of stimulus asynchrony, the TDT, is a measure of the efficacy of this short-latency midbrain network for covert attentional orienting and its ability to detect salient environmental change. As well as descending outputs from the intermediate and deep laminae of the SC to the brainstem for saccadic eye movement and the reticular formation, there are important thalamic and basal ganglia connections to the substantia nigra pars compacta and the intralaminar nuclei of the thalamus (23, 24). These basal ganglia connections from the SC provide pathways for short latency responses, allowing immediate reactions to salient environmental stimuli which may be of danger to the individual (25, 26).

In a large cohort of healthy participants, we observed age-related effects on the normal TDT; we also noted that women were faster in detecting stimulus asynchrony with significantly lower TDTs than men (1). Temporal discrimination is usually reported as a single value in milliseconds or as a corresponding Z-score. During TDT testing, in response to visual or tactile stimuli at varying inter-stimulus intervals, a participant reports their perception as “same” (synchronous) or “different” (asynchronous). By fitting individual participant responses to the range of inter-stimulus intervals with a cumulative Gaussian function, one may extract the mean and SD of the distribution of responses. The mean represents the point of subjective equality (PSE), the inter-stimulus interval at which participants are equally likely to respond that two stimuli are synchronous or asynchronous. The SD represents the just noticeable difference (JND), which is a measure of how sensitive participants are to changes in temporal asynchrony around the PSE. There is a strong correlation between the PSE and the TDT and also between the JND and the TDT. However, JND and PSE values are independent of each other and represent different dimensions of the TDT value (27). In this study, we aimed to examine, systematically in a large group of healthy participants, the age-related sexual dimorphism observed in temporal discrimination and in the PSE and the JND.

Participants and Methods

Participants

About 175 healthy participants between the ages of 20 and 65 years (88 women, mean age 41.4 years; 87 men, mean age 40.5 years) were recruited from hospital staff and visitors to the hospital. A proportion of participants were recruited for a previous study (1, 3). A full medical history was taken and participants were assessed for any evidence of neurological disorder. Exclusion criteria were a history or neurological disease, including neuropathy, visual or cognitive impairment, a history of cerebral, cervical, or brachial plexus injury, current pregnancy, and a known family history of dystonia.

Sensory Testing

Visual and tactile TDT testing was carried out in a single session in a sound-proof, darkened room, as described previously (1, 3). Visual stimuli (two flashing LED lights) were positioned on a table, 7° in the participant’s peripheral visual field (Figure 1A). Tactile stimuli (non-painful electrical impulses to the index and middle fingers) were presented using square-wave stimulators (Lafayette Instruments Europe, LE12 7XT, UK) and rectangular cloth electrodes (Item # TD-141C1, Discount Disposables Post Office Box 111, St. Albans, Vermont 05478). The stimulus current was manually increased (in 0.1 mA steps) until the participant could reliably detect the stimuli. Visual or tactile stimuli, 5 ms in duration, were presented at 5 s intervals. The stimuli were initially synchronous and separation between pairs of stimuli was introduced in 5 ms steps. When the participant reported stimuli to be asynchronous on three consecutive occasions, the first of these was taken as the TDT. Visual and tactile testing was repeated four times on each side of the body (a total of 16 runs) in a random order, and the median (ms) of the four trials was used to account for a practice effect. Means of the median visual, tactile, and combined values were calculated (TDT), expressed in milliseconds. Testing was carried out by the research registrars according to a standardized protocol. Unless otherwise stated, TDT refers to combined TDT in the results and discussion.

FIGURE 1
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Figure 1. (A,B) Schematic of the temporal discrimination threshold experimental task and Gaussian curve of a representative participant’s data.

Analysis of Point of Subjective Equality and Just Noticeable Difference

The data were fitted to a cumulative Gaussian function (Figure 1B) from which the PSE and JND were extracted. The PSE represents the point at which the participant was equally likely to respond “synchronous” or “asynchronous.” The JND is the lowest point at which participant could detect a difference and this corresponds to the reliability of the responses; the higher JND the less reliable the response. In a study from our group, it was shown that the JND and PSE correlate with mean TDT values but are independent of each other, suggesting that they represent different facets of the temporal discrimination process (27).

Ethics approval for this project was obtained from the Ethics and Medical Research Committee, St. Vincent’s University Hospital. Written informed consent was obtained from all participants.

Statistical Analysis

To investigate the effect of age and sex on the TDT, regression analyses were performed. The combined TDTs for men and for women were submitted to regression analyses with age as the continuous variable. The F values, mean squared error (MSE), relative absolute error (RAE), coefficient of variation (CV), R-squared values, and corresponding p-values are reported along with 95% confidence intervals, t-values, and p-values for the intercept, and Beta value for the linear fit. To compare the intercept and Beta values between men and women, a regression analysis was performed on the TDT data with variables age, sex (men = 0, women = 1), and age × sex (resulting in 0 s for men and the continuous variable of age for women). The sex variable tests for differences in the intercept values between men and women. The age × sex variable tests for differences in the Beta values between men and women. The PSE and JND were submitted to the same analytical protocol.

Results

Temporal Discrimination

Data from all 175 participants, arranged by age and gender group for the mean TDT (in ms), mean PSE (ms), and mean JND (ms), are presented in Table 1. The TDT and age data were submitted to a linear regression analysis for both groups (women and men), and are illustrated in Figure 2.

TABLE 1
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Table 1. The temporal discrimination threshold (TDT), point of subjective equality (PSE) and just noticeable difference (JND) for 175 healthy participants divided by age and sex.

FIGURE 2
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Figure 2. (A–C) Scatter plots showing relationship between age (years) and (A) temporal discrimination threshold (TDT) (ms), (B) point of subjective equality (PSE) (ms), and (C) just noticeable difference (JND) (ms). Red and blue dots indicate individual women (red) and men (blue) participants; red and blue lines indicate the regression fit of the data for women and men. The clear advantage in women <40 years of age in both the TDT and PSE is illustrated as well as the greater rate of decline in women, than in men, in these measures with age.

Age and Gender Effects in Temporal Discrimination Threshold: Regression Analysis

Women

For women, the analysis revealed that age explained a significant amount of the variance in the TDT values [F (1,86) = 27.542, MSE = 542.3, RAE = 0.89, CV = 42.0, p < 0.0001, R2 = 0.243, RADJUSTED2=0.234], with a non-significant intercept 12.307, {t(86) = 1.432; p = 0.156; 95% CI [−4.7, 29.3]}, a significant Beta = 1.042, {t(86) = 5.248; p < 0.0001; 95% CI [0.647, 1.437]}(Figure 2A).

Men

For men, we noted a trend toward significance for age explaining the variance in the TDT values [F (1,85) = 3.84, MSE = 387.8, RAE = 0.97, CV = 35.3, p < 0.0066, R2 = 0.039, RADJUSTED2=0.028}, with a significant intercept 42.305, {t(85) = 5.615; p < 0.0001; 95% CI [27.3, 57.3]}, and trending Beta = 0.332, {t(85) = 4.658 p < 0.0001; 95% CI [−0.022, 0.687]}.

Thus, influence of age on the mean combined TDT score is such that the TDT worsened by approximately 1 ms per annum in women (Beta = 1.042) and by 1 ms every 3 years in men (Beta = 0.332). The comparison of the fit analysis revealed a significant difference in the intercepts between the groups [t(173) = 2.616, p < 0.01], with women having a lower intercept and a significantly different Beta value [t(173) = 2.646, p < 0.01]. TDTs for 20-year-old women were approximately 13 ms faster than age-matched men, representing a 20% advantage (Figure 2A).

Point of Subjective Equality

Women

In women, age explained a significant amount of the variance in the PSE values [F(1,86) = 12.997, MSE = 329.4, RAE = 0.93, CV = 53.5, p < 0.001, R2 = 0.131, RADJUSTED2=0.121], with a non-significant intercept 10.844, {t(86) = 1.619, p = 0.109; 95% CI [−2.4, 24.155]}, and a significant Beta = 0.556, {t(86) = 3.605, p < 0.001; 95% CI [0.250, 0.866]}(Figure 2B).

Men

For men, there was no significant relationship between age and PSE values [F(1,85) = 0.151, MSE = 224.5, RAE = 0.998, CV = 40.7, p = 0.699, R2 = 0.002, RADJUSTED2=0.01] demonstrating a significant intercept 34.646, {t(85) = 6.04, p < 0.0001; 95% CI [23.2, 46.0]}, and a non-significant Beta = 0.053, {t(85) = 0.388, p = 0.699; 95% CI [−0.22, 0.322]}.

The comparison of fit analysis revealed a significantly different intercept between the groups [t(173) = −2.690, p < 0.01], with women having a lower intercept and significantly larger Beta values [t(173) = 2.44, p < 0.025]. Similar to the TDT analysis, the mean PSE value was lower for women than men at 20 years of age, but women were more affected by age with an increase of 1 ms in their PSE every 2 years.

Just Noticeable Difference

Women

Age also explained a significant amount of the variance in the JND values in women [F(1,86) = 18.48, MSE = 83.5, RAE = 0.92, CV = 54.4, p < 0.001, R2 = 0.177, RADJUSTED2=0.168], with non-significant intercept 2.952, {t(86) = 0.876, p = 0.45; 95% CI [−3.74, 9.653]} and a significant Beta = 0.335, {t(86) = 4.299, p < 0.0001; 95% CI [0.180, 0.490]}(Figure 2C).

Men

In men, age explained a significant amount of the variance in the JND values [F(1,85) = 8.35, MSE = 37.1, RAE = 0.92, CV = 39.1, p < 0.005, R2 = 0.089, RADJUSTED2=0.079], with a significant intercept 9.128, {t(85) = 3.92, p < 0.001; 95% CI [4.49, 13.8]}, and a significant Beta = 0.159, {t(85) = 2.89, p < 0.005; 95% CI [0.05, 0.269]}.

The comparison of fit analysis revealed no significant difference in the intercepts between the groups [t(173) = −1.495, p = 0.137] and a trending difference in Beta values [t(173) = 1.817, p = 0.071]. Men and women had similar increases in JND values with respect to age.

Discussion

Women, aged 20–40 years, have faster temporal discrimination than men; 20-year-old women were approximately 13 ms faster than age-matched men, representing a 20% advantage. Under the age of 40 years, women had a lower PSE value than men indicating shorter inter-stimulus intervals at which they were equally likely to detect two stimuli as synchronous or asynchronous. Women in the 20–40 years age-group were also more sensitive to change in stimulus asynchrony around their PSE as demonstrated by lower JND values. Thus, in the 20–40 years age group, women were both more sensitive and more accurate in temporal discrimination than men. Mean TDT scores in women increased (worsened) with age more than in men. Above the age of 40 years, women lose this initial advantage and had longer mean TDTs than their male peers. TDTs in women deteriorated at a rate of about 1 ms/year, while TDTs in men deteriorated at a rate of only 1 ms every 3 years. The PSE was also more influenced by age in women, remaining relatively unchanged in men despite increasing age. However, for both men and women, the JND increased as a function of age. This would suggest that the perception of asynchronous (PSE) stimuli is function of age and sex, while the reliability of the percept (JND) is a function of age but is not significantly different between men and women.

This sexual dimorphism in temporal discrimination raises interesting questions when one considers the underlying mechanisms of temporal discrimination and the pathways involved. We propose that temporal discrimination is a function of the midbrain-basal ganglia network for covert orienting of attention, with lower TDT scores representing more efficient collicular-basal ganglia processing of salient stimuli or environmental change. Numerous studies have identified cognitive, neuroanatomical, and biochemical correlates of attention and have noted sexual dimorphism (2832). In spatial orienting tasks, such as the Posner cueing paradigm and attention networks test (ANT), women are faster than men in responding to a peripherally cued stimulus and in activating covert (exogenously controlled) attention shifts (3335). However, women are more influenced than men by invalid cues and flankers (33, 36). There is a higher female dependency on, and preference for, visual cues (35). Electrophysiological studies also highlight increased sensitivity in women to salient visual stimuli during visual attention tasks (37).

We observed deterioration of temporal discrimination in women with age, significantly more marked than in men, indicating age-related sexual dimorphism in covert attention network function. Is the midbrain-basal ganglia network more sensitive to age in women? In attention tasks with spatial cues, reflexive allocation of attention has been found to be well preserved in older healthy individuals (3840). Some mild differences in visual covert attention associated with aging have been identified in the more objective P1 evoked response potentials (41). The TDT task differs from traditional attention tests; however, employing much shorter inter-stimulus intervals than those used in experiments between cues and targets. Thus, it is perhaps more sensitive to deterioration with age.

Sexual dimorphism in attention strategies may be of evolutionary significance and have implications in terms of survival. Body size dimorphism can dictate sex-specific roles within species such as the need for younger females to protect offspring from predators. Female eastern gray kangaroos are physically smaller than their male counterparts and are noted to display increased vigilance behaviors and scanning for predators compared to males (42, 43).

Looming stimuli are powerful in engaging covert attention. Detection of looming stimuli with shift in attention and subsequent motor response are vital functions in terms of survival. We activate such processes while playing sport or crossing the road; in other animals, they are essential for prey and predator detection. Responses to looming stimuli are observed in many species: insects, pigeons, rodents, and non-human primates, with key involvement of the optic tectum/collicular pathways. Evidence in humans from neuroimaging studies indicates the SC is activated by multisensory looming stimuli (44, 45). Women, compared to men, underestimate the time to arrival of a visual looming stimulus, whereas with receding stimuli there is no difference between the sexes (46, 47). A looming (compared to a receding) auditory stimulus activates temporal cortical areas as well as discrete areas in the left superior posterior cerebellar cortex and a midbrain region compatible with the ascending reticular formation (48). Humans perceive looming sounds to be more salient than receding ones, with both sexes underestimating the time to arrival (49), perhaps a trait necessary to aid survival. Interestingly, women show overestimation of the spatiotemporal properties of auditory stimuli, interpreting sounds to be closer than they actually are (49). Women perceive infant cries as being closer and arriving faster compared to men’s perception; infant laughs had no such effect on anticipatory bias (50). These findings may, as with faster temporal discrimination in the young adult women, be aligned to the evolution of the female role in protecting offspring.

It is not yet clear whether the relationship between attention and sex, and its change over time, is mediated by genetic sex, or hormonal factors, or both. Interestingly, sex chromosome genes (independent of their gonadal effects) have been implicated in neurodevelopment and neural function including attention. For example the “Sex-determining region on the Y” gene (SRY) at Yp11.3 has been proposed to influence attention (51) through its likely modulation of dopamine biosynthesis (52, 53). Human studies have also revealed SRY gene expression in the thalamus, cortical areas (54), and in the substantia nigra pars compacta of male, but not female, brains within a sub-population of neurons involved in dopamine biosynthesis (55).

Neuroanatomical Gender Dimorphism

Gender dimorphism has been recorded in many neuroanatomical studies, with functional magnetic resonance imaging (fMRI) revealing increased neural activation in women in areas such as the putamen, thalamus, and midbrain during visual processing (56). The midbrain-basal ganglia network has been implicated through radiological and animal model studies in the generation of covert attention (1719, 57). Normal sexual dimorphism in the basal ganglia includes larger male putaminal volume (58); interestingly, poorer performance during a temporal discrimination task has been correlated with putaminal enlargement (4), which could be reflected in our data of higher TDTs in younger men versus women. A functional neuroimaging study in healthy participants showed that women younger than 60 years of age had 8.4% higher striatal DAT binding compared to age-matched men (59). Women have also been found to have higher striatal 18F-fluorodopa uptake than men particularly in the caudate (60). Although these studies were perhaps less sensitive due to broader age categorization and smaller numbers of participants, they do indicate superior basal ganglia network functioning in younger women versus men, as also suggested by lower TDT and PSE values in our cohort.

Sexual Dimorphism of GABAergic System

The SC plays a key role in the generation of covert attention (1719). The wide field sensory neurons of the superficial layer of the SC (SLSC) fire (“on”) in response to visual stimuli. They then enter a “pause” phase before firing again when the stimulus is removed – the “on-pause-off” mechanism (61, 62). SLSC then relays to motor neurons of the collicular deep layers to generate a motor response. The SLSC, however, is tonically inhibited by gamma-amino-butyric-acid (GABA) outflow from the substantia nigra pars reticulata (SNPr). GABA blockade results in blurring or prolongation of the “on-pause-off response” (62), thus impairing stimulus detection and covert attention shifts. We believe reduced GABA inhibition may thus contribute to abnormal temporal discrimination (63), as short inter-stimulus gaps remain undetected and separate stimuli are perceived as synchronous. The observed increase in TDT and JND with age in both men and women may reflect a stereotyped pattern of inhibitory GABA loss within the SC-basal ganglia pathway for covert attention, with a more rapid decline in women.

Studies have also proposed that GABA is under the influence of genetic sex. X chromosome genes appear to influence enzymes involved in GABA synthesis and levels of GABA neuron markers (64). Measurement of GABA levels in vivo has been challenging. Magnetic resonance spectroscopy techniques have demonstrated sexual dimorphism in brain GABA levels (65, 66), albeit with conflicting results which may be explained by regional variation in concentration. A future research challenge would certainly involve assessment of both temporal discrimination and covert attentional tasks in combination with GABA measurement in areas of much smaller anatomical size, including the SC.

Study Limitations

One limitation of our study is that we assume a linear relationship of TDT with age. We have only included individuals from 20 years old up to the age of 65 years. An interesting study in the future would be to examine TDTs in both younger (children) and older individuals. It is not clear whether the observed advantage in women under the age of 40 years is secondary to genetic sex or hormonal influences. To help clarify this, a future study could also examine TDTs in relation to hormonal status and function, including menstrual variation, menarche, and menopause. However, repeated TDT testing of subjects in each menstrual cycle phase may open the experiment to a possible practice effect. The 175 healthy participants ranged in age from 20 to 65 years, and were assessed in relation to medical history and a neurological examination; however, mental state examination was not formally assessed. Subclinical cognitive impairment would, however, be highly unlikely in this cohort, and would have been evident in the reproducibility of responses in the test procedure.

Future Studies

Temporal discrimination has been applied as a mediational endophenotype in AOIFD (2) and found to be abnormal in a number of other conditions (5, 7, 1014). Possible correlation of TDT, or covert attention and its pathways, with GABA levels in these conditions, could provide further insights into the etiopathology and would be an important area of future research.

Conclusion

Recognition of sex differences in neural and cognitive function is vital to our understanding of neurological disorders and elucidation of pathology. Our findings add to the body of evidence that women have a superior ability to covertly shift attention. The results raise interesting questions regarding the evolutionary development of the network for covert orienting of attention in a sex- and age-dependent manner. The results also point to sexual dimorphism within the GABAergic system, which warrants further investigation. This could have clear implication for research into neurological disorders, including movement disorders, Alzheimer’s disease, schizophrenia, and autism, where GABA dysfunction has been suggested (6772).

This work emphasizes the importance of considering both age and sex, when interpreting the TDT test and in its application as a meditational endophenotype.

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

This study was supported by grants from Dystonia Ireland, the Irish Institute for Clinical Neuroscience, the Foundation for Dystonia Research (Belgium), and the Health Research Board, Ireland, Clinical Scientist Award (CSA-2012/5).

References

1. Kimmich O, Molloy A, Whelan R, Williams L, Bradley D, Balsters J, et al. Temporal discrimination, a cervical dystonia endophenotype: penetrance and functional correlates. Mov Disord (2014) 29(6):804–11. doi: 10.1002/mds.25822

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Kimmich O, Bradley D, Whelan R, Mulrooney N, Reilly RB, Hutchinson S, et al. Sporadic adult onset primary torsion dystonia is a genetic disorder by the temporal discrimination test. Brain (2011) 134(Pt 9):2656–63. doi:10.1093/brain/awr194

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Bradley D, Whelan R, Kimmich O, O’Riordan S, Mulrooney N, Brady P, et al. Temporal discrimination thresholds in adult-onset primary torsion dystonia: an analysis by task type and by dystonia phenotype. J Neurol (2012) 259(1):77–82. doi:10.1007/s00415-011-6125-7

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Bradley D, Whelan R, Walsh R, Reilly RB, Hutchinson S, Molloy F, et al. Temporal discrimination threshold: VBM evidence for an endophenotype in adult onset primary torsion dystonia. Brain (2009) 132(Pt 9):2327–35. doi:10.1093/brain/awp156

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Tinazzi M, Fasano A, Peretti A, Bove F, Conte A, Dall’Occhio C, et al. Tactile and proprioceptive temporal discrimination are impaired in functional tremor. PLoS One (2014) 9(7):e102328. doi:10.1371/journal.pone.0102328

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Fiorio M, Tinazzi M, Scontrini A, Stanzani C, Gambarin M, Fiaschi A, et al. Tactile temporal discrimination in patients with blepharospasm. J Neurol Neurosurg Psychiatry (2008) 79(7):796–8. doi:10.1136/jnnp.2007.131524

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Fiorio M, Gambarin M, Valente EM, Liberini P, Loi M, Cossu G, et al. Defective temporal processing of sensory stimuli in DYT1 mutation carriers: a new endophenotype of dystonia? Brain (2007) 130(Pt 1):134–42. doi:10.1093/brain/awl283

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Tinazzi M, Fiorio M, Bertolasi L, Aglioti SM. Timing of tactile and visuo-tactile events is impaired in patients with cervical dystonia. J Neurol (2004) 251(1):85–90. doi:10.1007/s00415-004-0282-x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Fiorio M, Tinazzi M, Bertolasi L, Aglioti SM. Temporal processing of visuotactile and tactile stimuli in writer’s cramp. Ann Neurol (2003) 53(5):630–5. doi:10.1002/ana.10525

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Rammsayer T, Classen W. Impaired temporal discrimination in Parkinson’s disease: temporal processing of brief durations as an indicator of degeneration of dopaminergic neurons in the basal ganglia. Int J Neurosci (1997) 91:45–55. doi:10.3109/00207459708986364

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Artieda J, Pastor MA, Lacruz F, Obeso JA. Temporal discrimination is abnormal in Parkinson’s disease. Brain (1992) 115(Pt 1):199–210. doi:10.1093/brain/115.1.199

CrossRef Full Text | Google Scholar

12. Lee M-S, Kim H-S, Lyoo C-H. ‘Off’ gait freezing and temporal discrimination threshold in patients with Parkinson disease. Neurology (2005) 64(4):670–4. doi:10.1212/01.WNL.0000151961.14861.BA

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lyoo CH, Ryu YH, Lee MJ, Lee MS. Striatal dopamine loss and discriminative sensory dysfunction in Parkinson’s disease. Acta Neurol Scand (2012) 126(5):344–9. doi:10.1111/j.1600-0404.2012.01657.x

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Lyoo CH, Lee SY, Song TJ, Lee MS. Abnormal temporal discrimination threshold in patients with multiple system atrophy. Mov Disord (2007) 22(4):556–9. doi:10.1002/mds.21111

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Hutchinson M, Kimmich O, Molloy A, Whelan R, Molloy F, Lynch T, et al. The endophenotype and the phenotype: temporal discrimination and adult-onset dystonia. Mov Disord (2013) 28:1766–74. doi:10.1002/mds.25676

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Defazio G, Jankovic J, Giel JL, Papapetropoulos S. Descriptive epidemiology of cervical dystonia. Tremor Other Hyperkinet Mov (N Y) (2013) 3.

Google Scholar

17. Krauzlis RJ, Lovejoy LP, Zénon A. Superior colliculus and visual spatial attention. Annu Rev Neurosci (2013) 36:165–82. doi:10.1146/annurev-neuro-062012-170249

CrossRef Full Text | Google Scholar

18. Katyal S, Zughni S, Greene C, Ress D. Topography of covert visual attention in human superior colliculus. J Neurophysiol (2010) 104(6):3074–83. doi:10.1152/jn.00283.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Mizzi R, Michael GA. The role of the collicular pathway in the salience-based progression of visual attention. Behav Brain Res (2014) 270:330–8. doi:10.1016/j.bbr.2014.05.043

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Brown JM. Visual streams and shifting attention. Prog Brain Res (2009) 176:47–63. doi:10.1016/S0079-6123(09)17604-5

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Cottaris NP, De Valois RL. Temporal dynamics of chromatic tuning in macaque primary visual cortex. Nature (1998) 395(6705):896–900. doi:10.1038/27666

CrossRef Full Text | Google Scholar

22. Bompas A, Sumner P. Sensory sluggishness dissociates saccadic, manual, and perceptual responses: an S-cone study. J Vis (2008) 8(8):1–13. doi:10.1167/8.8.10

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Redgrave P, Gurney K. The short-latency dopamine signal: a role in discovering novel actions? Nat Rev Neurosci (2006) 7(12):967–75. doi:10.1038/nrn2022

PubMed Abstract | CrossRef Full Text | Google Scholar

24. McHaffie JG, Stanford TR, Stein BE, Coizet V, Redgrave P. Subcortical loops through the basal ganglia. Trends Neurosci (2005) 28(8):401–7. doi:10.1016/j.tins.2005.06.006

CrossRef Full Text | Google Scholar

25. Ding JB, Guzman JN, Peterson JD, Goldberg JA, Surmeier DJ. Thalamic gating of corticostriatal signaling by cholinergic interneurons. Neuron (2010) 67(2):294–307. doi:10.1016/j.neuron.2010.06.017

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Thorn CA, Graybiel AM. Pausing to regroup: thalamic gating of cortico-basal ganglia networks. Neuron (2010) 67(2):175–8. doi:10.1016/j.neuron.2010.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Butler JS, Molloy A, Williams L, Kimmich O, Quinlivan B, O’Riordan S, et al. Non-paraemtric bootstrapping method for measuring the temporal discrimination threshold for movement disorders. J Neural Eng (2015) 12(4):046026. doi:10.1088/1741-2560/12/4/046026

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Posner MI. Orienting of attention: then and now. Q J Exp Psychol (Hove) (2014) 0:1–12. doi:10.1080/17470218.2014.937446

CrossRef Full Text | Google Scholar

29. Posner MI. Attentional networks and consciousness. Front Psychol (2012) 3:64. doi:10.3389/fpsyg.2012.00064

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Posner MI. Imaging attention networks. Neuroimage (2012) 61(2):450–6. doi:10.1016/j.neuroimage.2011.12.040

CrossRef Full Text | Google Scholar

31. Lundwall RA, Guo D-C, Dannemiller JL. Exogenous visual orienting is associated with specific neurotransmitter genetic markers: a population-based genetic ­association study. PLoS One (2012) 7(2):e30731. doi:10.1371/journal.pone.0030731

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Coull JT, Frith CD, Büchel C, Nobre AC. Orienting attention in time: behavioural and neuroanatomical distinction between exogenous and endogenous shifts. Neuropsychologia (2000) 38(6):808–19. doi:10.1016/S0028-3932(99)00132-3

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Bayliss AP, di Pellegrino G, Tipper SP. Sex differences in eye gaze and symbolic cueing of attention. Q J Exp Psychol A (2005) 58(4):631–50. doi:10.1080/02724980443000124

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Liu G, Hu PP, Fan J, Wang K. Gender differences associated with orienting attentional networks in healthy subjects. Chin Med J (Engl) (2013) 126(12):2308–12.

PubMed Abstract | Google Scholar

35. Merritt P, Hirshman E, Wharton W, Stangl B, Devlin J, Lenz A. Evidence for gender differences in visual selective attention. Pers Individ Dif (2007) 43(3):597–609. doi:10.1016/j.paid.2007.01.016

CrossRef Full Text | Google Scholar

36. Stoet G. Sex differences in the processing of flankers. Q J Exp Psychol (Hove) (2010) 63(4):633–8. doi:10.1080/17470210903464253

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Neuhaus AH, Opgen-Rhein C, Urbanek C, Gross M, Hahn E, Ta TMT, et al. Spatiotemporal mapping of sex differences during attentional processing. Hum Brain Mapp (2009) 30(9):2997–3008. doi:10.1002/hbm.20724

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Greenwood PM, Parasuraman R, Haxby JV. Changes in visuospatial attention over the adult lifespan. Neuropsychologia (1993) 31(5):471–85. doi:10.1016/0028-3932(93)90061-4

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Hartley AA. Evidence for the selective preservation of spatial selective attention in old age. Psychol Aging (1993) 8(3):371–9. doi:10.1037/0882-7974.8.3.371

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Robinson DL, Kertzman C. Visuospatial attention: effects of age, gender, and spatial reference. Neuropsychologia (1990) 28(3):291–301. doi:10.1016/0028-3932(90)90022-G

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Lorenzo-López L, Doallo S, Vizoso C, Amenedo E, Rodríguez Holguín S, Cadaveira F. Covert orienting of visuospatial attention in the early stages of aging. Neuroreport (2002) 13(11):1459–62. doi:10.1097/00001756-200208070-00022

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Goldizen AW, Pays O. Investigating differences in vigilance tactic use within and between the sexes in Eastern grey kangaroos. PLoS One (2012) 7(9):e44801. doi:10.1371/journal.pone.0044801

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Pays O, Jarman PJ. Does sex affect both individual and collective vigilance in social mammalian herbivores: the case of the eastern grey kangaroo? Behav Ecol Sociobiol (2008) 62:757–67. doi:10.1007/s00265-007-0501-4

CrossRef Full Text | Google Scholar

44. Comoli E, Das Neves Favaro P, Vautrelle N, Leriche M, Overton PG, Redgrave P. Segregated anatomical input to sub-regions of the rodent superior colliculus associated with approach and defense. Front Neuroanat (2012) 6:9. doi:10.3389/fnana.2012.00009

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Billington J, Wilkie RM, Field DT, Wann JP. Neural processing of imminent collision in humans. Proc Biol Sci (2011) 278(1711):1476–81. doi:10.1098/rspb.2010.1895

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Sanders G. Sex differences in coincidence-anticipation timing (CAT): a review. Percept Mot Skills (2011) 112(1):61–90. doi:10.2466/04.25.PMS.112.1.61-90

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Sanders G, Sinclair K. Sex differences in accuracy and precision when judging time to arrival: data from two internet studies. Arch Sex Behav (2011) 40(6):1189–98. doi:10.1007/s10508-010-9704-2

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Seifritz E, Neuhoff JG, Bilecen D, Scheffler K, Mustovic H, Schächinger H, et al. Neural processing of auditory looming in the human brain. Curr Biol (2002) 12(24):2147–51. doi:10.1016/S0960-9822(02)01356-8

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Neuhoff JG, Planisek R, Seifritz E. Adaptive sex differences in auditory motion perception: looming sounds are special. J Exp Psychol Hum Percept Perform (2009) 35(1):225–34. doi:10.1037/a0013159

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Neuhoff JG, Hamilton GR, Gittleson AL, Mejia A. Babies in traffic: infant vocalizations and listener sex modulate auditory motion perception. J Exp Psychol Hum Percept Perform (2014) 40(2):775–83. doi:10.1037/a0035071

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Trent S, Davies W. The influence of sex-linked genetic mechanisms on attention and impulsivity. Biol Psychol (2012) 89(1):1–13. doi:10.1016/j.biopsycho.2011.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Dewing P, Chiang CWK, Sinchak K, Sim H, Fernagut P-O, Kelly S, et al. Direct regulation of adult brain function by the male-specific factor SRY. Curr Biol (2006) 16(4):415–20. doi:10.1016/j.cub.2006.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Milsted A, Serova L, Sabban EL, Dunphy G, Turner ME, Ely DL. Regulation of tyrosine hydroxylase gene transcription by Sry. Neurosci Lett (2004) 369(3):203–7. doi:10.1016/j.neulet.2004.07.052

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Mayer A, Lahr G, Swaab DF, Pilgrim C, Reisert I. The Y-chromosomal genes SRY and ZFY are transcribed in adult human brain. Neurogenetics (1998) 1(4):281–8. doi:10.1007/s100480050042

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Czech DP, Lee J, Sim H, Parish CL, Vilain E, Harley VR. The human testis-determining factor SRY localizes in midbrain dopamine neurons and regulates multiple components of catecholamine synthesis and metabolism. J Neurochem (2012) 122(2):260–71. doi:10.1111/j.1471-4159.2012.07782.x

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Sacher J, Neumann J, Okon-Singer H, Gotowiec S, Villringer A. Sexual dimorphism in the human brain: evidence from neuroimaging. Magn Reson Imaging (2013) 31(3):366–75. doi:10.1016/j.mri.2012.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Robinson DL, Kertzman C. Covert orienting of attention in macaques. III. Contributions of the superior colliculus. J Neurophysiol (1995) 74(2):713–21.

PubMed Abstract | Google Scholar

58. Rijpkema M, Everaerd D, van der Pol C, Franke B, Tendolkar I, Fernández G. Normal sexual dimorphism in the human basal ganglia. Hum Brain Mapp (2012) 33(5):1246–52. doi:10.1002/hbm.21283

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Wong KK, Müller MLTM, Kuwabara H, Studenski SA, Bohnen NI. Gender differences in nigrostriatal dopaminergic innervation are present at young-to-middle but not at older age in normal adults. J Clin Neurosci (2012) 19(1):183–4. doi:10.1016/j.jocn.2011.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Laakso A, Vilkman H, Bergman J, Haaparanta M, Solin O, Syvälahti E, et al. Sex differences in striatal presynaptic dopamine synthesis capacity in healthy subjects. Biol Psychiatry (2002) 52(7):759–63. doi:10.1016/S0006-3223(02)01369-0

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Wang L, Sarnaik R, Rangarajan K, Liu X, Cang J. Visual receptive field properties of neurons in the superficial superior colliculus of the mouse. J Neurosci (2010) 30(49):16573–84. doi:10.1523/JNEUROSCI.3305-10.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Kaneda K, Isa T. GABAergic mechanisms for shaping transient visual responses in the mouse superior colliculus. Neuroscience (2013) 235:129–40. doi:10.1016/j.neuroscience.2012.12.061

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Hutchinson M, Isa T, Molloy A, Kimmich O, Williams L, Molloy F, et al. Cervical dystonia: a disorder of the midbrain network for covert attentional orienting. Front Neurol (2014) 5:54. doi:10.3389/fneur.2014.00054

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Seney ML, Chang L-C, Oh H, Wang X, Tseng GC, Lewis DA, et al. The role of genetic sex in affect regulation and expression of GABA-related genes across species. Front Psychiatry (2013) 4(September):104. doi:10.3389/fpsyt.2013.00104

PubMed Abstract | CrossRef Full Text | Google Scholar

65. O’Gorman RL, Michels L, Edden RA, Murdoch JB, Martin E. In vivo detection of GABA and glutamate with MEGA-PRESS: reproducibility and gender effects. J Magn Reson Imaging (2011) 33(5):1262–7. doi:10.1002/jmri.22520

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Sanacora G, Mason GF, Rothman DL, Behar KL, Hyder F, Petroff OA, et al. Reduced cortical gamma-aminobutyric acid levels in depressed patients determined by proton magnetic resonance spectroscopy. Arch Gen Psychiatry (1999) 56(11):1043–7. doi:10.1001/archpsyc.56.11.1043

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Albuquerque MS, Mahar I, Davoli MA, Chabot J-G, Mechawar N, Quirion R, et al. Regional and sub-regional differences in hippocampal GABAergic neuronal vulnerability in the TgCRND8 mouse model of Alzheimer’s disease. Front Aging Neurosci (2015) 7:30. doi:10.3389/fnagi.2015.00030

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Cochran DM, Sikoglu EM, Hodge SM, Edden RAE, Foley A, Kennedy DN, et al. Relationship among glutamine, γ-aminobutyric acid, and social cognition in autism spectrum disorders. J Child Adolesc Psychopharmacol (2015) 25(4):314–22. doi:10.1089/cap.2014.0112

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Luschekina EA, Strelets VB. [Autism spectrum disorder. Contemporary experimental researches review]. Zh Vyssh Nerv Deiat Im I P Pavlova (2014) 64(6):585–99. (Russian).

PubMed Abstract | Google Scholar

70. Silverman JL, Pride MC, Hayes JE, Puhger KR, Butler-Struben HM, Baker S, et al. GABAB receptor agonist R-baclofen reverses social deficits and reduces repetitive behavior in two mouse models of autism. Neuropsychopharmacology (2015). doi:10.1038/npp.2015.66

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Guidotti A, Auta J, Davis JM, Dong E, Grayson DR, Veldic M, et al. GABAergic dysfunction in schizophrenia: new treatment strategies on the horizon. Psychopharmacology (Berl) (2005) 180(2):191–205. doi:10.1007/s00213-005-2212-8

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Hashimoto T, Matsubara T, Lewis DA. [Schizophrenia and cortical GABA neurotransmission]. Seishin Shinkeigaku Zasshi (2010) 112(5):439–52.

Google Scholar

Keywords: sexual dimorphism, temporal discrimination, movement disorders, covert attention, adult onset dystonia, superior colliculus

Citation: Williams LJ, Butler JS, Molloy A, McGovern E, Beiser I, Kimmich O, Quinlivan B, O’Riordan S, Hutchinson M and Reilly RB (2015) Young women do it better: sexual dimorphism in temporal discrimination. Front. Neurol. 6:160. doi: 10.3389/fneur.2015.00160

Received: 07 April 2015; Accepted: 26 June 2015;
Published: 09 July 2015

Edited by:

Oscar Arias-Carrión, Hospital General Dr. Manuel Gea González, Mexico

Reviewed by:

Graziella Madeo, University of Rome Tor Vergata, Italy
Silmar Teixeira, Federal University of Piauí, Brazil

Copyright: © 2015 Williams, Butler, Molloy, McGovern, Beiser, Kimmich, Quinlivan, O’Riordan, Hutchinson and Reilly. 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: Michael Hutchinson, Department of Neurology, St. Vincent’s University Hospital, Dublin 4, Ireland, mhutchin2@mac.com;
Richard B. Reilly, Trinity Centre for Bioengineering, Trinity College Dublin, Dublin 2, Ireland, reillyri@tcd.ie

Laura Jane Williams and John S. Butler have contributed equally to this work.

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.