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Background and Objectives: Chronically stressed individuals report deficits spanning cognitive and emotional functioning. However, limitations to clinical populations and measures of stress have impeded the generalisability and scope of results. This study investigated whether chronic stress predicted cognitive and emotional functioning, and whether these relationships differed between males and females, in a large representative sample of healthy participants. Design: Cross-sectional study. Method: 1883 healthy adults sampled from the Brain Resource International Database reported stress using the 21-item Depression Anxiety Stress Scales. Participants then completed a cognitive and emotional assessment battery (IntegNeuro), as well as questionnaires related to sleep, emotional functioning, and self-regulation. Results: In contrast to previously reported results, chronic stress did not predict cognitive functioning. However, higher stress predicted a greater negativity bias and poorer social skills, confirming previous research identifying these links. Conclusions: Cognitive deficits related to stress are absent in healthy participants when stress is measured using the 21-items Depression Anxiety Stress Scales. Identifying how chronic stress is associated with aspects of emotional functioning can lead to personalized interventions for individuals to better manage the negative outcomes resulting from stress.

Rationale. Limited research is available on electrophysiological abnormalities such as epileptiform EEG or EEG slowing in depression and its association with antidepressant treatment response. Objectives. We investigated the association between EEG abnormalities and antidepressant treatment response in the international Study to Predict Optimized Treatment in Depression (iSPOT-D). Methods. Of 1008 participants with major depressive disorder randomized to escitalopram, sertraline, or venlafaxine-XR, 622 completed 8 weeks of treatment per protocol. The study also recruited 336 healthy controls. Treatment response was established after 8 weeks using the 17-item Hamilton Rating Scale for Depression (HRSD17). The resting-state EEG was assessed at baseline with eyes closed. EEG abnormalities including epileptiform activity, EEG slowing, and alpha peak frequency (APF) were scored for all subjects, blind to treatment outcome. Results. Patients and controls did not differ in the occurrence of EEG abnormalities. Furthermore, in the per protocol sample the occurrence of epileptiform EEG and EEG slowing (as a combined marker) were associated with a reduced likelihood of responding to escitalopram ( P = .019; odds ratio [OR] = 3.56) and venlafaxine-XR ( P = .043; OR = 2.76), but not sertraline (OR = 0.73). The response rates for this “any EEG abnormality” groups versus the “no-abnormality” group were 33% and 64% for escitalopram and 41% and 66% for venlafaxine-XR, respectively. A slow APF was associated with treatment response only in the sertraline group ( P = .21; d = .027). Conclusions. EEG abnormalities are associated with nonresponse to escitalopram and venlafaxine-XR, but not sertraline, whereas a slow APF is associated to response for sertraline only.

Objective Over 50% of outpatients with nonpsychotic major depressive disorder (MDD) do not achieve remission with any single antidepressant medication (ADM). There are currently no clinically useful pretreatment measures that inform the decision to prescribe or select ADMs. This report examines whether a biomarker based on diffusion tensor imaging (DTI) measures of brain connectivity can identify a subset of nonremitting patients with a sufficiently high degree of specificity that use of a medication that is likely to fail could be avoided. Methods MDD outpatients recruited from community and primary-care settings underwent pretreatment magnetic resonance imaging as part of the international Study to Predict Optimized Treatment in Depression (conducted December 2008-June 2014). DSM-IV criteria and a 17-item Hamilton Depression Rating Scale (HDRS17) score ≥ 16 confirmed the primary diagnosis of nonpsychotic MDD. Data from the first cohort of MDD patients (n = 74) were used to calculate fractional anisotropy measures of the stria terminalis and cingulate portion of the cingulate bundle (CgC). On the basis of our previous data, we hypothesized that nonremission might be predicted using a ratio of these 2 values. Remission was defined as an HDRS17 score of ≤ 7 following 8 weeks of open-label treatment with escitalopram, sertraline, or venlafaxine extended-release, randomized across participants. The second study cohort (n = 83) was used for replication. Results Thirty-four percent of all participants achieved remission. A value > 1.0 for the ratio of the fractional anisotropy of the stria terminalis over the CgC identified 38% of the nonremitting participants with an accuracy of 88% (test cohort; odds ratio [OR] = 9.6; 95% CI, 2.0-45.9); 24% with an accuracy of 83% (replication cohort; OR = 1.8; 95% CI, 0.5-6.9) and 29% with an accuracy of 86% (pooled data; OR = 4.0; 95% CI, 1.5-11.1). Treatment moderation analysis showed greater specificity for escitalopram and sertraline (χ(2) = 8.07; P = .003). Conclusions To our knowledge, this simple DTI-derived metric represents the first brain biomarker to reliably identify nonremitting patients in MDD. The test identifies a meaningful proportion of nonremitters, has high specificity, and may assist in managing the antidepressant treatment of depression. Trial registration ClinicalTrials.gov identifier: NCT00693849.

Arousal systems are one of the recently announced NIMH Research Domain Criteria to inform future diagnostics and treatment prediction. In major depressive disorder (MDD), altered central nervous system (CNS) wakefulness regulation and an increased sympathetic autonomic nervous system (ANS) activity have been identified as biomarkers with possible discriminative value for prediction of antidepressant treatment response. Therefore, the hypothesis of a more pronounced decline of CNS and ANS-arousal being predictive for a positive treatment outcome to selective-serotonin-reuptake-inhibitor (SSRI) treatment was derived from a small, independent exploratory dataset (N = 25) and replicated using data from the randomized international Study to Predict Optimized Treatment Response in Depression (iSPOT-D). There, 1008 MDD participants were randomized to either a SSRI (escitalopram or sertraline) or a serotonin-norepinephrine-reuptake-inhibitor (SNRI-venlafaxine) arm. Treatment response was established after eight weeks using the 17-item Hamilton Rating Scale for Depression. CNS-arousal (i.e. electroencephalogram-vigilance), ANS-arousal (heart rate) and their change across time were assessed during rest. Responders and remitters to SSRI treatment were characterized by a faster decline of CNS-arousal during rest whereas SNRI responders showed a significant increase of ANS-arousal. Furthermore, SSRI responders/remitters showed an association between ANS- and CNS-arousal regulation in comparison to non-responders/non-remitters while this was not the case for SNRI treatment arm. Since positive treatment outcome to SSRI and SNRI was linked to distinct CNS and ANS-arousal profiles, these predictive markers probably are not disorder specific alterations but reflect the responsiveness of the nervous system to specific drugs. (C) 2015 Elsevier Ltd. All rights reserved.

Item does not contain fulltext Studies have shown that specific networks (default mode network [DMN] and task positive network [TPN]) activate in an anticorrelated manner when sustaining attention. Related EEG studies are scarce and often lack behavioral validation. We performed independent component analysis (ICA) across different frequencies (source-level), using eLORETA-ICA, to extract brain-network activity during resting-state and sustained attention. We applied ICA to the voxel domain, similar to functional magnetic resonance imaging methods of analyses. The obtained components were contrasted and correlated to attentional performance (omission errors) in a large sample of healthy subjects (N = 1397). We identified one component that robustly correlated with inattention and reflected an anticorrelation of delta activity in the anterior cingulate and precuneus, and delta and theta activity in the medial prefrontal cortex and with alpha and gamma activity in medial frontal regions. We then compared this component between optimal and suboptimal attentional performers. For the latter group, we observed a greater change in component loading between resting-state and sustained attention than for the optimal performers. Following the National Institute of Mental Health Research Domain Criteria (RDoC) approach, we prospectively replicated and validated these findings in subjects with attention deficit/hyperactivity disorder. Our results provide further support for the "default mode interference hypothesis". 9 p.

Objective: To determine whether EEG occipital alpha and frontal alpha asymmetry (FAA) distinguishes outpatients with major depression (MDD) from controls, predicts antidepressant treatment outcome, and to explore the role of gender.Methods: In the international Study to Predict Optimized Treatment in Depression (iSPOT-D), a multi-center, randomized, prospective open-label trial, 1008 MDD participants were randomized to escitalopram, sertraline or venlafaxine-extended release. The study also recruited 336 healthy controls. Treatment response was established after eight weeks and resting EEG was measured at baseline (two minutes eyes open and eyes closed).Results: No differences in EEG alpha for occipital and frontal cortex, or for FAA, were found in MDD participants compared to controls. Alpha in the occipital and frontal cortex was not associated with treatment outcome. However, a gender and drug-class interaction effect was found for FAA. Relatively greater right frontal alpha (less cortical activity) in women only was associated with a favorable response to the Selective Serotonin Reuptake Inhibitors escitalopram and sertraline. No such effect was found for venlafaxine-extended release.Conclusions: FAA does not differentiate between MDD and controls, but is associated with antidepressant treatment response and remission in a gender and drug-class specific manner.Significance: Future studies investigating EEG alpha measures in depression should a-priori stratify by gender. (C) 2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

In major depressive disorder (MOD), elevated theta current density in the rostral anterior cingulate (rACC), as estimated by source localization of scalp-recorded electroencenphalogram (EEG), has been associated with response to antidepressant treatments, whereas elevated frontal theta has been linked to non-response. This study used source localization to attempt to integrate these apparently opposite results and test, whether antidepressant response is associated with elevated rACC theta and non-response with elevated frontal theta and whether theta activity is a differential predictor of response to different types of commonly used antidepressants. In the international Study to Predict Optimized Treatment in Depression (iSPOT-D), a multi-center, international, randomized, prospective practical trial, 1008 MDD participants were randomized to escitalopram, sertraline or venlafaxine-XR. The study also recruited 336 healthy controls. Treatment response and remission were established after eight weeks using the 17-item Hamilton Rating Scale for Depression (HRSD17). The resting-state EEG was assessed at baseline with eyes closed and source localization (eLORETA) was employed to extract theta from the rACC and frontal cortex. Patients with MDD had elevated theta in both frontal cortex and rACC, with small effect sizes. High frontal and rACC theta were associated with treatment non-response, but not with non-remission, and this effect was most pronounced in a subgroup with previous treatment failures. Low theta in frontal cortex and rACC are found in responders to antidepressant treatments with a small effect size. Future studies should investigate in more detail the role of previous treatment (failure) in the association between theta and treatment outcome. (C) 2015 Elsevier B.V. and ECNP. All rights reserved.

This study could not confirm the association between the Catechol-O-Methyltransferase Val158Met polymorphism (COMT) and electroencephalographic (EEG) alpha peak frequency (APF) in two independent cohorts of 187 (96 depressed and 91 healthy participants) and 413 healthy participants. If COMT and APF play a role in depression or antidepressant treatment response, they do not have a shared pathway. We emphasize the importance of publishing null-findings for obtaining more accurate overall estimates of genetic effects. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

Accepted November 5, 2012. Address correspondence to Dr. Evian Gordon, Brain Resource Inc., 1000 Sansome Street, Suite 200, San Francisco, CA 94111, USA. Tel: 415-499-7990; Fax: 415-852-5198; E-mail: eviang@brainresource.com Technology and Innovation, Vol. 15, pp. 53–62, 2013 1949-8241/13 $90.00 + .00 Printed in the USA. All rights reserved. DOI: http://dx.doi.org/10.3727/194982413X13608676060574 Copyright  2013 Cognizant Comm. Corp. E-ISSN 1949-825X www.cognizantcommunication.com

Background:The orienting reflex (OR) is a fundamental biological mechanism thought to reflect automatic adaptive processing of environmental stimuli necessary for successful interaction with the environment. It has been hypothesized that the OR is generated in response to novelty such as in the case where a mismatch results between an internal neuronal template stored in working memory and incoming stimuli. Recent blood oxygenated level dependant (BOLD) activation studies that have investigated networks involved in the processing of novelty have suggested the recruitment of a distributed limbic-neocortical network. In the present study, event-related functional resonance imaging with simultaneous autonomic electrodermal activity was used to detect single trials of an auditory oddball task associated with the OR.Results:The pattern of activations indicated two distinct, but partially overlapping, networks. Predominantly, frontal activations were seen for the target stimuli that did elicit an OR, including the orbitofrontal gyrus and anterior cingulate gyrus, as well as activations in the anterior thalamus and cerebellum. On contrary, parietal activations including the supramarginal gyrus and precuneus were seen for the target stimuli that that did not elicit an OR.

Most studies of gamma band synchrony in schizophrenia conclude that it is reduced, relative to what is observed in healthy people, during stimulus processing. However, these findings may, in part, be an artifact of greater absolute levels of synchrony in schizophrenia even at baseline. We examined absolute level of gamma band synchrony before and during emotionally neutral face processing in 28 patients with schizophrenia after their first episode of psychosis (FES) (20 male) and 71 controls (53 male) across a range of frequency bins, brain regions and time-bands. We also examined how absolute synchrony prior to stimulus onset related to synchrony change during stimulus processing, and how it related to symptoms. The FES group showed greater absolute gamma synchrony across all time-points in frontal and temporal regions. Baseline absolute synchrony predicted post-stimulus change in these regions in a pattern consistent with previous reports. However, synchrony change was not related to symptoms. These results support the recommendation that studies in this field should examine baseline absolute synchrony when attempting to characterize task-related gamma synchrony in schizophrenia.

The aim of this study was to investigate if biomarkers in QEEG, genetic and neuropsychological measures are suitable for the prediction of antidepressant treatment outcome in depression. Twenty-five patients diagnosed with major depressive disorder were assessed twice, pretreatment and at 8-wk follow-up, on a variety of QEEG and neuropsychological tasks. Additionally, cheek swab samples were collected to assess genetic predictors of treatment outcome. The primary outcome measure was the absolute decrease on the HAM-D rating scale. Regression models were built in order to investigate which markers contribute most to the decrease in absolute HAM-D scores. Patients who had a better clinical outcome were characterized by a decrease in the amplitude of the Auditory Oddball NI at baseline. The 'Met/Met' variant of the COMT gene was the best genetic predictor of treatment outcome. Impaired verbal memory performance was the best cognitive predictor. Raised frontal Theta power was the best EEG predictor of change in HAM-D scores. A tentative integrative model showed that a combination of N1 amplitude at Pz and verbal memory performance accounted for the largest part of the explained variance. These markers may serve as new biomarkers suitable for the prediction of antidepressant treatment outcome. (C) 2010 Elsevier B.V. All rights reserved.

Background Depression will be the second largest burden of disease by 2020. Developing new tools for identifying risk and ultimately prevention of depression relies on elucidating the integrative relationships between susceptibility markers from gene-stress interactions and how they impact emotional brain and arousal systems. They have largely been studied in isolation. Methods We examined how genetic (brain-derived neurotrophic factor [BDNF] valine 66 to methionine [Val66Met] and serotonin receptor gene 3A [ HTR3A ]) and early life stress susceptibility factors interact in predicting electroencephalogram (EEG) asymmetry, emotion-elicited heart rate, and self-reported negativity bias, each correlates of risk for depression. Caucasian volunteers ( n = 363) were derived from the Brain Resource International Database, via the Brain Research And Integrative Neuroscience Network. Results Individuals with both BDNF methionine and HTR3A CC risk genotypes and early life stressors demonstrated a profile of elevated emotion-elicited heart rate and right frontal hyper-activation with right parietotemporal hypoactivation in EEG asymmetry. Elevations in heart rate were a moderator of negativity bias. Conclusions The findings provide new evidence that these gene-stress susceptibility factors contribute to a brain-arousal profile indicative of risk for depression. They are a step toward identifying biological markers for detecting risk before overt symptoms. It would be valuable for future studies to examine comorbidity and specificity issues; for instance, whether these gene-stress factors contribute in different ways to the partially distinct EEG asymmetry profiles found with anxiety.

Biases toward processing negative versus positive information vary as a function of level of awareness, and are modulated by monoamines. Excessive biases are associated with individual differences in mood and emotional stability, and emotional disorder. Here, we examined the impact of the catechol-O-methyltransferase (COMT) Val108/158Met polymorphism, involved in dopamine and norepinephrine catabolism, on both emotional brain function and self-reported negativity bias. COMT genotyping and self-reported level of negativity bias were completed for 46 healthy participants taking part in the Brain Resource International Database. Functional MRI was undertaken during perception of facial expressions of fear and happiness presented under unmasked (consciously identified) and masked (to prevent conscious detection) conditions. Structural MR images were also acquired. A greater number of COMT Met alleles predicted increased activation in brainstem, amygdala, basal ganglia and medial prefrontal regions for conscious fear, but decreased activation for conscious happiness. This pattern was also apparent for brainstem activation for the masked condition. Effects were most apparent for females. These differences could not be explained by gray matter variations. The Met-related profile of activation, particularly prefrontally, predicted greater negativity bias associated with risk for emotional disorder. The findings suggest that the COMT Met allele modulates neural substrates of negative versus positive emotion processing. This effect may contribute to negativity biases, which confer susceptibility for emotional disorders.

Models of laterality infer distinct aspects of EEG alpha asymmetry in clinical disorders, which has been replicated for over three decades. This biomarker now requires a more fine-grained assessment of its clinical utility as a diagnostic and treatment predictive marker. Here, within the same study we assessed resting brain laterality across six clinical disorders, for which deviant laterality has been implicated as core dysfunction. These disorders were evaluated in comparison to a large normative dataset (∼1,900) from the Brain Resource International Database. EEG alpha asymmetry was assessed in the frontocentral region, for resting Eyes Closed and Eyes Open conditions. Schizophrenia was characterized by significantly greater left lateralized alpha power than controls, indicating a deficit in left frontal activity at rest, which may relate to “disconnections” across wider fronto-temporal networks. The depression group showed a trend-level tendency towards the opposite pattern of greater right-lateralized activity than controls. The remaining anxiety and behavioral disorders did not show any significant deviance in alpha asymmetry from the normative control group. However, at a non-significant level laterality for these groups was generally consistent with expected directions, suggesting a propensity towards a particular lateralization but still remaining within the normative range. Overall, the results of the current study indicate that EEG alpha asymmetry may show the most clinical utility as a biomarker for schizophrenia and depression in comparison to other clinical disorders.

Background: The risk for mental illnesses such as depression is increasingly conceptualized as the product of gene–environment interactions and their impact on brain structure and function. The role of serotonin 3A receptor gene (HTR3A −42C>T polymorphism) and its interaction with early life stress (ELS) was investigated in view of the receptor's localization to brain regions central to emotion processing. Methods: Fronto-limbic grey matter (GM) loss was measured using magnetic resonance imaging and assessed using voxel-based morphometry analysis in 397 nonclinical individuals from the Brain Resource International Database. Negative mood symptoms were also assessed. Results: The HTR3A CC genotype group, compared to the T carriers, demonstrated comparative loss to GM in hippocampal structures, which extended to the frontal cortices for those CC genotype individuals also exposed to ELS. Elevations in depressed mood were also evident. Conclusions: These findings suggest that the HTR3A CC genotype may be associated with alterations in brain structures central to emotion processing, particularly when exposed to stress, and further highlight the potential role of the serotonin system in the pathophysiology of affective disorders. In contrast, those individuals with the T allele, in particular the TT genotype, may be more protected from such alterations combined with minimal exposure to ELS events. Depression and Anxiety, 2010. © 2010 Wiley-Liss, Inc.

This study tested the extent to which coached participants can simulate the neural responses of participants with posttraumatic stress disorder (PTSD) when they are presented with signals of fear. Functional magnetic resonance imaging (fMRI) was used to study blood oxygenation level-dependent signal during the presentations of fearful and neutral faces under both conscious and nonconscious (masked) conditions. Participants comprised 12 patients with PTSD and 12 trauma-exposed controls who were instructed to simulate PTSD. During conscious fear processing, simulators showed greater activation in the left amygdala and medial prefrontal cortex (MPFC) than PTSD participants. By contrast, during nonconscious processing, PTSD participants had greater MPFC activation than simulators. These findings suggest that coached simulators produce a profile of ‘over-responding’ to fear when controlled conscious processing is possible, but are not able to simulate the exaggerated medial prefrontal responses observed in PTSD participants under conditions of nonconscious processing.

Objective: Previous studies using event-related potentials (ERPs) in post-traumatic stress disorder (PTSD) have demonstrated reduced P3 amplitude during target detection and working memory (WM) processes. This study investigated effects of psychotropic medication (primarily antidepressants) on these ERP components. Methods: ERPs were recorded from 26 scalp sites in 34 PTSD patients (20 unmedicated, 14 medicated) with age- and gender-matched controls during a WM paradigm that involved detection of target letters on a visual display. Results: As expected, PTSD patients showed a reduced amplitude P3wm component during WM updating and a reduced and delayed target P3 component. Contrary to expectation, these ERP effects were most apparent in the medicated subgroup of PTSD patients. The medicated PTSD subgroup showed a trend towards reduced P3wm amplitude compared with controls and a significant amplitude reduction and delay of target P3 component, while there was little difference between the non-medicated PTSD subgroup and controls. Neither ERP nor behavioural measures were related to Clinician Administered PTSD Scale (CAPS) symptom severity measures. Conclusions: These results are consistent with research that suggests antidepressant medication may impair working memory performance. Significance: The present study illustrates the importance of monitoring medication effects on cognitive performance during clinical efficacy studies.

Separate dimensions of schizotypy have been differentially associated with electrophysiological measures of brain function, and further shown to be modified by sex/gender. We investigated event-related potential (ERP) correlates of two subdimensions of positive schizotypy, paranormal ideation (PI) and unusual experiences (UEs). Seventy-two individuals with no psychiatric diagnosis (men=36) completed self-report measures of UE and PI and performed an auditory oddball task. Average scores for N100, N200 and P300 amplitudes were calculated for left and right anterior, central and posterior electrode sites. Multiple linear regression was used to examine the relationships between the measures of schizotypy and ERPs across the entire sample, as well as separately according to sex. PI was inversely associated with P300 amplitude at left-central sites across the entire sample, and at right-anterior electrodes in women only. Right-anterior P300 and right-posterior N100 amplitudes were negatively associated with UE in women only. Across the entire sample, UE was negatively associated with left-central N100 amplitude, and positively associated with left-anterior N200 amplitude. These results provide support from electrophysiological measures for the fractionation of the positive dimension of schizotypy into subdimensions of PI and UE, and lend indirect support to dimensional or quasidimensional conceptions of psychosis. More specifically, they suggest that PI may be associated with alteration in contextual updating processes, and that UE may reflect altered sensory/early-attention (N100) mechanisms. The sex differences observed are consistent with those previously observed in individuals with schizophrenia.

The aim of the paper is to describe a standardized "Integrative Neuroscience" Platform that can be applied to elucidate brain-body mechanisms. This infrastructure includes a theoretical integration (the INTEGRATE Model). To demonstrate this infrastructure, hypotheses from the INTEGRATE Model are applied in an example investigation of the cognitive, brain and body markers of individual differences in the trait characteristic of Negativity Bias (the tendency to see oneself and one's world as negative). A sample of 270 healthy participants (18-65 years old) were grouped into equal sized matched subsets of high "Negativity Bias" and high "Positivity Bias" (n = 135 in each group). Participants were assessed using a standardized battery of psychological traits, cognition and brain and body (autonomic) activity. Greater "Negativity Bias" relative to "Positivity Bias" was characterized by greater autonomic reactivity and early neural excitation to signals of potential danger, at the timescale of Emotion (< 200 ms). Concomitantly, there was a relatively lower level of "Thinking", reflected in cognitive dimensions and associated electrical brain measures of working memory and EEG Theta power. By contrast, Negativity and Positivity Bias did not differ in levels of emotional resilience and social skills at the longer time scale of Self Regulation. This paper provides a demonstration of how an Integrative Neuroscience infrastructure can be used to elucidate the brain-body basis of trait characteristics, such as Negativity Bias, that are key indicators of risk for poor well-being and psychopathology.

Background In addition to cognitive impairment, there are disruptions to mood and emotion processing in attention-deficit/hyperactivity disorder (ADHD) but little is known about their neural basis. We examined ADHD disturbances in mood and emotion recognition and underlying neural systems before and after treatment with stimulant medication. Methods Participants were 51 unmedicated ADHD adolescents and 51 matched healthy control subjects rated for depressed and anxious mood and accuracy for identifying facial expressions of basic emotion. Brain function was recorded using event-related potentials (ERPs) while subjects viewed these expressions. ADHD subjects were retested after 4 weeks, following treatment with methylphenidate (MPH). Results ADHD subjects showed a profile of emotion-related impairment: higher depression and anxiety, deficits in identifying threat-related emotional expressions in particular, and alterations in ERPs. There was a pronounced reduction in occipital activity during the early perceptual analysis of emotional expression (within 120 msec), followed by an exaggeration of activity associated with structural encoding (120–220 msec) and subsequent reduction and slowing of temporal brain activity subserving context processing (300–400 msec). Methylphenidate normalized neural activity and produced some improvement of emotion recognition but had no impact on negative mood. Improvements in neural activity with MPH were consistent predictors of improvement in clinical features of emotional lability and hyperactivity. Conclusions Objective behavioral and brain function measures of emotion processing may provide a valuable addition to the clinical armamentarium for assessing emotional disturbances in ADHD and the efficacy of stimulants for treating these disturbances.

Elevated body mass index (BMI) is associated with adverse neurocognitive outcome in adults, including reduced neuropsychological test performance. It is unknown whether this relationship also exists in children and adolescents. A total of 478 children and adolescents (age 6-19) without significant medical or psychiatric history provided demographic information and completed a computerized cognitive test battery. Participants were categorized using clinical criteria into underweight, normal weight, at risk for overweight and overweight groups based on age and gender. Partial correlation and MANCOVA analyses adjusting for age and intellectual function found no relationship between BMI and cognitive test performance in the full sample. However, analyses performed separately by gender showed that underweight females exhibited poorer memory performance than other female BMI groups. These findings suggest that elevated BMI is not associated with cognitive function in healthy children and adolescents, though underweight might be a risk factor for reduced memory performance in females. Further work is needed to clarify the inconsistent findings between adults and minors.

The study aimed to identify brain functional indicators of working memory systems development between 6 and 18 years. Event-related potentials (ERPs) were recorded from 251 normally developing children to stimuli requiring the updating of working memory. Cluster analysis of event-related potential componentry divided the sample into three clusters (mean ages 9, 12 and 16 years), with ascending cluster membership independently associated with improved task performance. The clusters correspond to periods of grey matter loss and white matter increase observed in developing children, supporting the view that the clusters delineate three key qualitative stages in advancing cognitive capability during the maturation of higher brain systems function. This outcome identifies a biomarker with the potential for assessing abnormalities in the rate of brain development.

Previous studies have shown that exposure to early life stress (ELS) is associated with reduced volume of brain regions critical for information processing, memory and emotional function. Further, recent studies from our lab utilizing diffusion tensor imaging (DTI) have found alterations in the microstructural integrity of white matter pathways among adults exposed to ELS. However, it is not clear if these relationships extend to children and adolescents, and it is also unclear if these DTI abnormalities are associated with cognitive performance. The present study examined the relationship between ELS and the microstructural integrity of the corpus callosum among a sample of otherwise healthy controls between the ages of 8 and 73. The participants were subdivided into four age groups (8–12, 13–18, 19–50, 51–73). Individuals with three or more ELS events were compared to individuals with fewer than 3 ELS events on fractional anisotropy (FA) in the genu of the corpus callosum. Separate analyses examined the two groups on tests of verbal memory, information processing speed, psychomotor speed and cognitive flexibility. Results revealed that the youngest group and the oldest group of individuals with ELS exhibited significantly lower FA in the genu compared to individuals without ELS. However, there were no group differences on any of the cognitive tasks. Our results indicate that ELS is related to subtle alterations in brain structure, but not function. The effects found with regard to DTI occurred during periods of critical age-related developmental windows.

WOS: 000252342800015, PubMed ID: 18188754, Results from recent studies suggest that chronic cigarette smoking is associated with increased white matter volume in the brain as determined by in vivo neuroimaging. We used diffusion tensor imaging to examine the microstructural integrity of the white matter in 10 chronic smokers and 10 nonsmokers. All individuals were healthy, without histories of medical or psychiatric illness. Fractional anisotropy (FA) and trace were measured in the genu, body, and splenium of the corpus callosum. FA provides a measure of directional versus nondirectional water diffusion, whereas trace provides a measure of nondirectional water diffusion. Lower FA and higher trace values are considered to reflect less brain integrity. Voxel-based morphometry was used to define volumes in each of these regions of the corpus callosum. Chronic smokers exhibited significantly higher FA in the body and whole corpus callosum and a strong trend for higher FA in the splenium compared with nonsmokers. FA did not differ between groups in the genu, and neither trace nor white matter volumes differed between groups in any of the regions of interest. When subdivided by Fagerstrm score (low vs. high), the low Fagerstrm group exhibited significantly higher FA in the body of the corpus callosum compared with the high Fagerstrm group and the nonsmokers. These results suggest that, among healthy adults, lower exposure to cigarette smoking is associated with increased microstructural integrity of the white matter compared with either no exposure or higher exposure. Additional studies are needed to further explore differences in white matter integrity between smokers and nonsmokers., NCI NIH HHSUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Cancer Institute (NCI) [CA84718, P50 CA084718]; NIBIB NIH HHSUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Biomedical Imaging & Bioengineering (NIBIB) [R01 EB004155, EB4155]; NIDA NIH HHSUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute on Drug Abuse (NIDA) [K08 DA014276-03, DA14276, K08 DA014276, K08 DA014276-05, K08 DA014276-02, K08 DA014276-04, K08 DA014276-01A2]

Biological models of posttraumatic stress disorder (PTSD) suggest that patients will display heightened amygdala but decreased medial prefrontal activity during processing of fear stimuli. However, a rapid and automatic alerting mechanism for responding to nonconscious signals of fear suggests that PTSD may display heightened rather than decreased MPFC under nonconscious processing of fear stimuli. This study used functional magnetic resonance imaging to examine blood oxygenation level-dependent signal changes during nonconscious presentation (16.7 ms, masked) of fearful and neutral faces in 15 participants with PTSD and 15 age and sex-matched healthy control participants. Results indicate that PTSD participants display increased amygdala and MPFC activity during nonconscious processing of fearful faces. These data extend existing models by suggesting that the impaired MPFC activation in PTSD may be limited to conscious fear processing. Hum Brain Mapp, 2008. (c) 2007 Wiley-Liss, Inc.

Assessment of neurocognitive functioning is a critical task in many clinical, educational, service, and industrial settings. We report on descriptive and validation data of a new, World-Wide-Web-based, comprehensive battery of neurocognitive functioning, WebNeuro, that can be used in both applied and research contexts. Fifty healthy control participants completed both WebNeuro, and an established non-Internet-based computerized cognitive assessment battery, IntegNeuro, that uses a touchscreen platform. Results indicated comparability across the two batteries, in terms of critical single test scores, factor analysis derived indices, overall performance scores, and sex differences. These results support the validity of WebNeuro as a neurocognitive assessment measure. Advantages of its use in applied and research settings are discussed.

Neuroimaging shows brain-functional differences due to apolipoprotein E (APOE) polymorphisms may exist decades before the increased risk period for Alzheimer's disease, but little is known about their effect on cognition and brain function in children and young adults. This study assessed 415 healthy epsilon2 and epsilon4 carriers and matched epsilon3/epsilon3 controls, spanning ages 6-65, on a range of cognitive tests. Subjects were also compared on a new dynamical measure of EEG activity during a visual working memory task using alphabetical stimuli. epsilon4 subjects had better verbal fluency compared to epsilon3, an effect that was strongest in 51-65 year-olds. No epsilon4 deficits in cognition were found. In 6-15 year-olds, there were differences in total spatio-temporal wave activity between epsilon3 and epsilon4 subjects in the theta band, approximately 200ms post-stimulus. Differences in brain function in younger epsilon4 subjects and superior verbal fluency across the entire age range suggest that the APOE epsilon4 allele is an example of antagonistic pleiotropy.

Objective: While schizophrenia has long been considered a disorder of brain connectivity, few studies have investigated white matter abnormalities in patients with first-episode schizophrenia, and even fewer studies have investigated whether there is progressive white matter pathology in the disease. Method: The authors obtained a T1weighted structural magnetic resonance imaging (MRI) scan on 41 patients with first-episode schizophrenia. These firstepisode schizophrenia patients were analyzed relative to 47 age- and sex-matched healthy comparison subjects who also underwent an MRI scan. Of the baseline participants, 25 first-episode schizophrenia patients and 26 comparison subjects returned 2 to 3 years later for a follow-up scan. To identify regional volumetric white matter differences between the two groups at baseline, voxel-based morphometry in statistical parametric mapping-2 (SPM2) was used, while tensorbased morphometry was used to identify the longitudinal changes over the followup interval. Results: The first-episode schizophrenia patients exhibited volumetric deficits in the white matter of the frontal and temporal lobes at baseline, as well as volumetric increases in the white matter of the frontoparietal junction bilaterally. Furthermore, these first-episode schizophrenia patients lost considerably more white matter over the follow-up interval relative to comparison subjects in the middle and inferior temporal cortex bilaterally. Conclusions: These results indicate that patients with schizophrenia exhibit white matter abnormalities at the time of their first presentation of psychotic symptoms to mental health services and that these abnormalities degenerate further over the initial years of illness. Given the role that white matter plays in neural communication, the authors suggest that these white matter abnormalities may be a cause of the dysfunctional neural connectivity that has been proposed to underlie the symptoms of schizophrenia.

Schizophrenia patients show a disconnection in amygdala-medial prefrontal cortex and autonomic arousal systems for processing fear. Concurrent functional magnetic resonance imaging [fMRI] and skin conductance recording were used to determine whether these disturbances are specific to fear, or present in response to other signals of danger. We also examined whether these disturbances distinguish a specific symptom profile. During scanning, 27 schizophrenia (13 paranoid, 14 nonparanoid) and 22 matched healthy control subjects viewed standardized facial expressions of fear, anger and disgust (versus neutral). Skin conductance responses [SCRs]were acquired simultaneously to assess phasic increases in arousal. 'With-arousal' versus 'without-arousal' responses were analysed using non-parametric methods. For controls, 'with-arousal' responses were associated with emotion-specific activity for fear (amygdala), disgust (insula) and anger (anterior cingulate), together with common medial prefrontal cortex [MPFC] engagement, as predicted. Schizophrenia patients displayed abnormally increased phasic arousal, with concomitant reductions in emotion-specific regions and MPFC. These findings may reflect a general disconnection between central and autonomic systems for processing signals of danger. This disjunction was most apparent in patients with a profile of paranoia, coupled with poor social function and insight. Heightened autonomic sensitivity to signals of fear, threat or contamination, without effective neural mechanisms for appraisal, may underlie paranoid delusions which concern threat and contamination, and associated social and interpersonal difficulties.

Orienting responses are elicited by salient stimuli, and may be indexed by skin conductance responses. Concurrent functional magnetic resonance imaging and skin conductance response recording was used to identify neural correlates of orienting to abrupt sensory change (infrequent high pitch oddball 'target' tones embedded in frequent lower pitch 'standard' tones) in 16 healthy participants. 'With skin conductance response' responses to targets were distinguished by preferentially greater activity in the amygdala and ventral medial and lateral frontal cortical regions. By contrast, 'without skin conductance response' responses elicited distinctive activity in the dorsal lateral frontal cortex and supramarginal gyrus. These findings suggest that orienting to unexpected sensory change elicits a network for appraising salience and novelty, whereas, in the absence of orienting, a parallel network for sensory and context evaluation is preferentially engaged.

Previous studies have revealed significant differences in performance on nonlanguage dependent cognitive tests across international settings among younger individuals, with less pronounced differences evident among older individuals (54 years of age). The present study examined a broad range of cognitive performance as well as electrophysiological indices of brain function in a multisite and international context. A total of 200 individuals in the United States, 233 individuals in Europe, and 829 individuals in Australia were administered a standardized computerized neuropsychological battery, and complementary electroencephalogram (EEG) recordings were completed. Results revealed no significant differences in cognitive function or electrophysiology across the three continents. Similarly, although there was a main effect for age, the interaction between age and continent was not significant in any of the omnibus analyses. These findings indicate a high degree of similarity in neurocognitive and electrophysiological function among individuals residing in developed Western cultures, consistent with a traitlike status and the high heritability of the EEG.

Age-associated decline in gray matter brain volume and cognitive function in healthy adults has been reported in the literature. The goal of the current study is to examine the relationship between age-related changes in regional gray matter volumes and cognitive function in a large, cross-sectional sample of healthy adults across the lifespan.Magnetic resonance imaging and cognitive assessment were conducted on 148 adults aged 21-76 years. Multiple regression analyses examining the effect of age were performed on magnetic resonance image-derived gray matter brain volumes and standardized cognitive summary scores of attention and executive function. Regression was also performed to test the effect of age, gray matter volumes, and their interaction on the prediction of cognitive performance.Age significantly predicted performance on tests of attention (F [1, 146]=50.97, p0.01, R2=0.26) and executive function (F [1, 146]=126.19, p0.01, R2=0.46) and gray matter volumes for frontal subregions (lateral, medial, orbital), hippocampus, amygdala, and putamen (F [2, 145]=45.34-23.96, p0.01-0.02). Lateral frontal (beta=-1.53, t=-2.16, df=131, p0.03) and orbital frontal (beta=1.24, t=2.08, df=131, p0.04) regions significantly predicted performance on tests of attention. Lateral frontal (beta=-1.69, t=-2.83, df=131, p0.01) and the interaction between age and lateral frontal volume (beta=3.76, t=2.49, df=131, p0.02) significantly predicted executive function.The findings confirm age-associated decline in cognitive function and gray matter volumes, particularly in anterior cortical brain regions. Furthermore, the association between lateral frontal gray matter volume and the ability to successfully plan, organize, and execute strategies varies as a function of age across the healthy adult lifespan.

Cohen's [Cohen, R. (1993). The Neuropsychology of Attention. New York: Plenum Publishing] model of attention proposes four interrelated processes, namely Sensory Selective Attention, Response Selection/Control, Focus/Capacity, and Sustained Attention. Though this model has been supported in patient samples, it has not been examined in a healthy adult cohort. Using Principal Components Analysis, we examined the explanatory power of this model in 342 adults screened for significant medical and psychiatric history. The four derived components accounted for 58.7% of the total variance. Results were generally supportive of Cohen's [Cohen, R. (1993). The Neuropsychology of Attention. New York: Plenum Publishing] model, though further clarification of the relationship between processing speed and more complex aspects of attention (e.g. working memory, set shifting) is needed. These findings support the notion that attention is not a unitary process, but instead comprised of distinct components. Future studies including both neuropsychological testing and functional neuroimaging may provide important insight into the underpinnings of attentional processes.

This study examined the effects of age, gender and education on subjects spanning nine decades on a new cognitive battery of 12 tests. One thousand and seven participants between 6 and 82 completed the battery under standardized conditions using an automated, computerized touchscreen. Sensitive indicators of change were obtained on measures of attention and working memory, learning and memory retrieval, and language, visuospatial function, sensori-motor and executive function. Improvement tended to occur through to the third and fourth decade of life, followed by gradual decrement and/or stabilized performance thereafter. Gender differences were obtained on measures of sustained attention, verbal learning and memory, visuospatial processing and dexterity. Years of education in adults was reflected in performance on measures of verbal function. Overall, the test battery provided sensitive indicators on a range of cognitive functions suitable for the assessment of abnormal cognition, the evaluation of treatment effects and for longitudinal case management. (c) 2006 National Academy of Neuropsychology. Published by Elsevier Ltd. All rights reserved.

Little is known about the structural brain changes that occur over the first few years of schizophrenia, or how these changes differ from those associated with healthy brain development in adolescence and early adulthood. In this study, we aimed to identify regional differences in grey matter (GM) volume between patients with first-episode schizophrenia (FES) and matched healthy controls, both at the time of the patients' first psychotic episode (baseline condition) and 2-3 years subsequently (follow-up condition). Forty-one patients with FES and 47 matched healthy controls underwent a T1-weighted structural MRI scan. Of these participants, 25 FES patients and 26 controls returned 2-3 years later for a follow-up scan. Voxel-based morphometry in SPM2 was used to identify the regions of GM difference between the groups in the baseline condition, while tensor-based morphometry was used to identify the longitudinal change within subject over the follow-up interval. The FES patients exhibited widespread GM reductions in the frontal, parietal, and temporal cortices and cerebellum in the baseline condition, as well as more circumscribed regions of GM increase, particularly in the occipital lobe. Furthermore, the FES subjects were observed to lose considerably more GM over the follow-up interval than the controls, especially in the parietal and temporal cortices. We argue that the progressive GM atrophy we have found to be associated with the onset of schizophrenia arises from a dysfunction in the dramatic period of healthy brain development typically associated with adolescence.

Adolescence to early adulthood is a period of dramatic transformation in the healthy human brain. However, the relationship between the concurrent structural and functional changes remains unclear. We investigated the impact of age on both neuroanatomy and neurophysiology in the same healthy subjects (n = 138) aged 10 to 30 years using magnetic resonance imaging (MRI) and resting electroencephalography (EEG) recordings. MRI data were segmented into gray and white matter images and parcellated into large‐scale regions of interest. Absolute EEG power was quantified for each lobe for the slow‐wave, alpha and beta frequency bands. Gray matter volume was found to decrease across the age bracket in the frontal and parietal cortices, with the greatest change occurring in adolescence. EEG activity, particularly in the slow‐wave band, showed a similar curvilinear decline to gray matter volume in corresponding cortical regions. An inverse pattern of curvilinearly increasing white matter volume was observed in the parietal lobe. We suggest that the reduction in gray matter primarily reflects a reduction of neuropil, and that the corresponding elimination of active synapses is responsible for the observed reduction in EEG power. Hum Brain Mapp, 2007. © 2006 Wiley‐Liss, Inc.

Despite high rates of prescription, little is known about the long-term consequences of stimulant medication therapy for attention-deficit hyperactivity disorder (ADHD) sufferers. Historically, the clinical use of stimulants for ADHD has been based on trial and error before optimal therapy is reached. Concurrently, scientific research on the mechanism of action of stimulants has influenced neurobiological models of ADHD, but has not always informed their prescription. Whilst the two main stimulant types (methylphenidate and dexamphetamine) have numerous similarities, they also differ (slightly) in mechanism and possibly individual response. A further issue relates to differences in cost and availability compounded by the expectation for stimulants to be effective in ameliorating a broad spectrum of ADHD-related symptoms. Thus, there is an increasing need for treating clinicians to prescribe not only the most effective drug, but also the most appropriate dose with the associated release mechanism and schedule for each ADHD patient presented. In this regard, the field is witnessing an emergence of the personalized medicine approach to ADHD, in which treatment decisions are tailored to each individual. This shift requires a new approach to research into treatment response prediction. Given the heterogeneity of ADHD, a profile of information may be required to capture the most sensitive predictors of treatment response in individuals. These profiles will also benefit from the integration of data from clinical rating scales with more direct measures of cognition and brain function. In conclusion, there is a need to establish a more robust normative framework as the baseline for treatment, as well as diagnostic decisions, and as discussed, the growth of integrated neuroscience databases will be important in this regard.

Introduction: Depression is characterized by disturbances in affect, cognition, brain and body function, yet studies have tended to focus on single domains of dysfunction. An integrated approach may provide a more complete profile of the range of deficits characterized by depressed individuals, but it is unclear whether this approach is able to predict depression severity over and above that predicted by single tasks or domains of function. In this study, we examined the value of combining multiple domains of function in predicting depression severity. Methods: Participants contained in the International Brain Database, () had completed three testing components including a web-based questionnaire of Personal History, the Brain Resource Cognition battery of Neuropsychological tests, Personality assessment and Psychophysiological testing. Two hundred and sixty six of these participants were able to be classified as either non-depressed, mild-moderately or severely (non-clinically) depressed, based on a depression screening questionnaire. Analysis of variance identified variables on which the categorized participants differed. Significant variables were then entered into a series of stepwise regressions to examine their ability to predict depression scores. Results: An integrated model including measures of affect (increased Neuroticism; decreased Emotional Intelligence), cognition (increased variability of reaction time during a working memory task; decreased "name the word component score" in the verbal interference task), brain (decreased left-lateralized P150 ERP component during a working memory task) and body function (increased negative skin conductance level gradient) were found to predict more of the variation in depression severity than any single domain of function. Discussion: On the basis of behavioral as well as Psychophysiological findings reported in this study, it was suggested that deficits in subclinically depressed individuals are more pronounced during automatic stages of stimulus processing, and that performance in these individuals may improve (to the level displayed by controls) when task demands are increased. Findings also suggest that it is important to consider disturbances across different domains of function in order to elucidate depression severity. Each domain may contribute unique explanatory information consistent with an integrative model of depression, taking into account the role of both behavior and underlying neural changes.

Obstructive sleep apnea (OSA) is expected to impair vigilance and executive functioning, owing to the sensitivity of the prefrontal cortex to the effects of sleep fragmentation and intermittent hypoxia. Studies examining the pattern of cognitive dysfunction show variable results, with the heterogeneity in part due to small sample sizes in current studies and little consistency of the tests used. We examined a group of fifty subjects from the Brain Resource International Database (BRID), predicted to have OSA on the basis of the Multivariable Apnea Prediction Index, and compared them with 200 matched controls. On electrophysiological tests, the OSA group showed reduced eyes closed alpha power, increased auditory oddball N100 and P200 amplitude, but reduced N200 and P300 amplitude. The latency to P300 was not significantly different between groups, but latencies to N200 and P200 were prolonged in the OSA group. Performance testing of the executive function found that verbal interference and the switching of attention were impaired in the OSA group. We have demonstrated that a diagnostic algorithm based on apnea symptoms and demographic factors can be used to select a group with likely OSA manifesting deficits in information processing and executive function.

The quantified analysis of the electroencephalogram (qEEG) has enabled the extraction of additional psychophysiological information from the raw EEG, but in turn has introduced a number of distortions. This study compared Dynamic Spectral Analysis (DSA), a novel and mathematically stringent technique for the evaluation of qEEG activity with conventional power spectral analysis in subjects with both first episode and chronic schizophrenia and matched controls. Advantages of the technique in the automated processing of data, rejection of artefact, avoidance of artefact introduced by the mathematical trans-formation of the data and the identification of irregular low frequency artefactual activity "pi" are discussed in detail. Using this method, the study has confirmed past observations of increased slow wave activity in schizophrenia, and identified a decrease in peak frequency in the alpha band in the subjects with chronic schizophrenia. The two clinical groups differed in mean peak frequency in the delta band with the first episode schizophrenia subjects having a raised mean peak frequency and the subjects with chronic schizophrenia having a lowered mean peak frequency. The results suggest continued change in the EEG with illness chronicity in schizophrenia. These changes were most evident in the frequency domain emphasizing the importance of routine measurement of mean band frequencies in qEEG studies.

The phase-synchronization of Gamma-band oscillations has been postulated as a mechanism of “network binding” and implicated in various aspects of perception, memory, and cognition. The current study investigates a possible link between Gamma synchrony and individual differences in intelligence within the theory of fluid and crystallized intelligence, with due reference to Hebbian theory. The hypothesis is that there are significant correlations between cognitive performance and synchronous Gamma activity across diverse brain regions. EEG data were recorded from 35 healthy participants, and the peak magnitude and latency of early and late Gamma Synchrony were extracted using a method for quantifying phase synchronization across multiple sites. Participants also completed 11 diverse cognitive ability tests tapping fluid and crystallized intelligence. Overall, moderate-sized correlations were obtained between accuracy and speed composite scores, derived from the ability tests, and magnitude and latency indices of Gamma synchrony. Phase-synchronous Gamma activity provides a plausible physiological mechanism that might account for individual differences in cognitive abilities.

Facial expressions of fear are universally recognized signals of potential threat. Humans may have evolved specialized neural systems for responding to fear in the absence of conscious stimulus detection. We used functional neuroimaging to establish whether the amygdala and the medial prefrontal regions to which it projects are engaged by subliminal fearful faces and whether responses to subliminal fear are distinguished from those to supraliminal fear. We also examined the time course of amygdala‐medial prefrontal responses to supraliminal and subliminal fear. Stimuli were fearful and neutral baseline faces, presented under subliminal (16.7 ms and masked) or supraliminal (500 ms) conditions. Skin conductance responses (SCRs) were recorded simultaneously as an objective index of fear perception. SPM2 was used to undertake search region‐of‐interest (ROI) analyses for the amygdala and medial prefrontal (including anterior cingulate) cortex, and complementary whole‐brain analyses. Time series data were extracted from ROIs to examine activity across early versus late phases of the experiment. SCRs and amygdala activity were enhanced in response to both subliminal and supraliminal fear perception. Time series analysis showed a trend toward greater right amygdala responses to subliminal fear, but left‐sided responses to supraliminal fear. Cortically, subliminal fear was distinguished by right ventral anterior cingulate activity and supraliminal fear by dorsal anterior cingulate and medial prefrontal activity. Although subcortical amygdala activity was relatively persistent for subliminal fear, supraliminal fear showed more sustained cortical activity. The findings suggest that preverbal processing of fear may occur via a direct rostral–ventral amygdala pathway without the need for conscious surveillance, whereas elaboration of consciously attended signals of fear may rely on higher‐order processing within a dorsal cortico–amygdala pathway. Hum Brain Mapp, 2005. © 2005 Wiley‐Liss, Inc.

Although recent studies suggest a possible relationship between the brain-derived neurotrophic factor Val66Met polymorphism and eating disorders, no study has examined the possibility that the Met-Met genotype is associated with a lower body mass index (BMI) in healthy individuals. We examined this possibility in 481 adults (age range 18–82 years) without significant medical or psychiatric history. After adjusting for gender, analysis of covariance showed that persons with the Met-Met genotype had a lower BMI than those with the Val-Met/Val-Val genotypes (22.28 ± 3.77 vs. 24.72 ± 4.81). A similar, though nonsignificant, trend emerged when comparing all three genotypes separately. These findings suggest a possible relationship between Val66Met polymorphism and BMI in healthy adults. Further work is needed to clarify possible mechanisms for this relationship.

The amygdala has a key role in regulating arousal and vigilance, and responds to both visual and vocal signals of fear, including facial expressions of fear. In this study, we used functional MRI to examine sex differences in the magnitude, extent, lateralization and time course of amygdala responses to facial signals of fear, in a relatively large sample of males and females. Skin conductance was recorded simultaneously with functional imaging to examine concomitant changes in emotional arousal, and to provide an independent index of response attenuation. Scanning and skin conductance recording was undertaken during perception of facial fear stimuli. Sex differences were apparent in the laterality and time course of fear perception. In males, the right amygdala and autonomic arousal attenuated over the late half of the experiment. By contrast, females showed persistent bilateral amygdala responses, with a tendency towards greater left amygdala engagement during the late phase. Females also showed a greater general extent of amygdala response. We suggest that distinct evolutionary pressures might contribute to a lower threshold for vigilance to signals of danger in females, reflected in a profile of sustained amygdala–arousal interaction.