Left Dorsomedial Prefrontal Cortex Research Articles

Brain connectivity abnormalities and treatment-induced restorations in patients with cervical dystonia.

The relationship between brain abnormalities and phenotypic characteristics in cervical dystonia (CD) patients has not been fully established, and little is known about the neuroplastic changes induced by botulinum toxin type A (BoNT-A) treatment. Ninety-two CD patients presenting with rotational torticollis and 45 healthy controls from our database were retrospectively screened. After clinical assessment, the 92 patients underwent baseline magnetic resonance imaging (MRI) followed by a single-dose injection of BoNT-A. Four weeks later, 76 out of the 92 patients were re-evaluated with the Tsui scale for dystonia severity, and 33 out of 76 patients completed post-treatment MRI scanning. Data-driven global brain connectivity and regional homogeneity in tandem with seed-based connectivity analyses were used to examine the functional abnormalities in CD and longitudinal circuit alterations that scaled with clinical response to BoNT-A. Multiple regression models were employed for the prediction analysis of treatment efficacy. Cervical dystonia patients exhibited elevated baseline connectivity of the right postcentral gyrus with the left dorsomedial prefrontal cortex and right caudate nucleus, which was associated with their symptom severity. BoNT-A reduced excessive functional connectivity between the sensorimotor cortex and right superior frontal gyrus, which was significantly correlated with changes in Tsui score. Moreover, pre-treatment regional homogeneity of the left middle frontal gyrus was linearly related to varied response to treatment. Our findings unravel dissociable connectivity of the sensorimotor cortex underlying the pathology of CD and central effects of BoNT-A therapy. Furthermore, baseline regional homogeneity with the left middle frontal gyrus may represent a potential evidence-based marker of patient stratification for BoNT-A therapy in CD.

The Role of Visual Features in Text-Based CAPTCHAs: An fNIRS Study for Usable Security.

To mitigate dictionary attacks or similar undesirable automated attacks to information systems, developers mostly prefer using CAPTCHA challenges as Human Interactive Proofs (HIPs) to distinguish between human users and scripts. Appropriate use of CAPTCHA requires a setup that balances between robustness and usability during the design of a challenge. The previous research reveals that most usability studies have used accuracy and response time as measurement criteria for quantitative analysis. The present study aims at applying optical neuroimaging techniques for the analysis of CAPTCHA design. The functional Near-Infrared Spectroscopy technique was used to explore the hemodynamic responses in the prefrontal cortex elicited by CAPTCHA stimulus of varying types. The findings suggest that regions in the left and right dorsolateral and right dorsomedial prefrontal cortex respond to the degrees of line occlusion, rotation, and wave distortions present in a CAPTCHA. The systematic addition of the visual effects introduced nonlinear effects on the behavioral and prefrontal oxygenation measures, indicative of the emergence of Gestalt effects that might have influenced the perception of the overall CAPTCHA figure.

Neurochemicals of limbic system and thalamofrontal cortical network: Are they different between patients with idiopathic generalized epilepsy and psychogenic nonepileptic seizure?

ObjectiveThalamofrontal cortical network and limbic system are proposed to be involved in psychogenic nonepileptic seizure (PNES) and idiopathic generalized epilepsy (IGE). This study aimed to investigate neurochemical changes in prefrontal cortex, thalamus, and limbic circuits in patients with PNES and IGE. We also analyzed the interaction between cognitive functions and neurochemical changes in both groups. MethodsHydrogen proton magnetic resonance spectroscopy (1H-MRS) was used to measure N-acetyl aspartate (NAA), choline (Cho), creatine (Cr), glutamate–glutamine (Glx), and myo-inositol (MI). The voxels were placed on the bilateral dorsolateral prefrontal cortex (DLPFC), dorsomedial prefrontal cortex (DMPFC), anterior cingulate cortex (ACC), and thalamus. Attention and inhibitory control, as well as general intelligence status, were investigated using the Integrated Visual and Auditory Continuous Performance Test (IVA-CPT) and the Wechsler Adult Intelligence Scale (WAIS), respectively, in patients with PNES and IGE, as well as healthy volunteers. ResultsThe 1H-MRS showed a decreased ratio of NAA/Cr in the right and left thalamus, right DMPFC, and right ACC in patients with IGE and PNES. Furthermore, a decrease of the NAA/Cr ratio in the left DMPFC and an increase of NAA/Cr ratio in the right DLPFC were observed in patients with PNES compared with the controls. The patient groups had a decreased ratio of Cho/Cr in right ACC compared with the healthy subjects. Moreover, the NAA/Cr ratio in the left thalamus and left DMPFC was correlated with seizure frequency in patient groups. Reduced NAA/Cr ratio in the right ACC and left DLPFC were also correlated with poor IVA-CPT scores. ConclusionThis study highlighted the dysfunction in prefrontal-thalamic–limbic circuits and impairment in neurocognition in patients with PNES and IGE.

Effects of Age on Prestimulus Neural Activity Predictive of Successful Memory Encoding: An fMRI Study.

Prestimulus subsequent memory effects (SMEs)-differences in neural activity preceding the onset of study items that are predictive of later memory performance-have consistently been reported in young adults. The present functional magnetic resonance imaging experiment investigated potential age-related differences in prestimulus SMEs. During study, healthy young and older participants made one of two semantic judgments on images, with the judgment signaled by a preceding cue. In test phase, participants first made an item recognition judgment and, for each item judged old, a source memory judgment. Age-invariant prestimulus SMEs were observed in left dorsomedial prefrontal cortex, left hippocampus, and right subgenual cortex. In each case, the effects reflected lower blood oxygen level dependent signal for later recognized items, regardless of source accuracy, than for unrecognized items. A similar age-invariant pattern was observed in left orbitofrontal cortex, but this effect was specific to items attracting a correct source response compared to unrecognized items. In contrast, the left angular gyrus and fusiform cortex demonstrated negative prestimulus SMEs that were exclusive to young participants. The findings indicate that age differences in prestimulus SMEs are regionally specific and suggest that prestimulus SMEs reflect multiple cognitive processes, only some of which are vulnerable to advancing age.

Hippocampal subfield morphology in monozygotic twins discordant for affective disorders.

Unipolar and bipolar disorders aggregate in families and have been associated with a reduced gray-matter volume in hippocampal and prefrontal cortex. Here we used structural MRI to clarify whether abnormalities in hippocampal subfield and prefrontal cortical morphology are associated with familial vulnerability (i.e., changes present both in patients and unaffected relatives compared to healthy individuals), resilience (i.e., changes differentiating unaffected relatives and patients), or sequalae of illness in a sample of monozygotic twins. We investigated regional differences in gray-matter volume extracted using FreeSurfer 6.0 between remitted affected twins (AT) with either unipolar or bipolar disorder (n = 67), unaffected discordant co-twins (UT, n = 39), and low-risk twins (LT, n = 31) with no personal or first-degree family history of affective disorders. The UT showed greater bilateral hippocampal volumes compared to AT. Between group differences in left hippocampal volume were driven by greater cornu ammonis 1-3 and 4, subiculum and subfield of dentate gyrus. For the right hippocampus, differences were driven by greater hippocampal tail and subiculum. There was a trend for UT having a larger left hippocampus than LT, but no significant differences in hippocampal volumes between AT and LT. Outside the hippocampus, AT showed a smaller volume of left dorsomedial prefrontal cortex compared to LT. Our results suggest that larger volume of specific hippocampal subfields may be associated with resilience in healthy relatives of patients with an affective illness. Moreover, a smaller volume of left dorsomedial prefrontal cortex may reflect a sequalae of illness.

History of withdrawal modulates drug- and food-cue reactivity in cocaine dependent participants

While the centrality of withdrawal in the diagnosis of addiction has been decreasing with each successive edition of the Diagnostic and Statistical Manual of Mental Disorders, psychometric and neurobiological evidence provides withdrawal a central role in the development and maintenance of addiction. The current study offers insight into these conflicting positions by using secondary analyses to assess how a history of DSM-assessed withdrawal influences the magnitude of bias in neural reactivity to drug- and/or food-related reward cues. To this end, we separated an existing sample of cocaine-dependent participants (Denomme et al., 2018) into those with (WD) and without (N-WD) a history of withdrawal, and compared food- and drug-cue reactivity between these groups, and to a non-dependent control group (ND). Analyses indicated that biases in neural reactivity towards drug- versus food-related cues only occurred among the WD participants (within: left dorsomedial prefrontal cortex, left anterior cingulate cortex, left orbitofrontal cortex, left caudate nucleus, and right ventrolateral prefrontal cortex). Thus, withdrawal status may be an important factor to consider when interpreting dependence-related biases in neural reactivity following reward-related cues. Interestingly, while N-WD participants did not show these broad biases in neural reactivity, the magnitude of their bias correlated positively with years of lifetime substance use history, particularly when psychopathic traits were low. It may be that for individuals who’s addiction has not yet reached a compulsive state (see Wise and Koob, 2014), the magnitude of their drug > food bias could serve as a valuable biomarker of addiction severity.

Resting-state causal connectivity of the bed nucleus of the stria terminalis in panic disorder.

Panic disorder (PD) is associated with anticipatory anxiety, a sustained threat response that appears to be related to the bed nucleus of the stria terminalis (BNST). Individuals with panic disorder may demonstrate significant differences in causal connectivity of the BNST in comparison to healthy controls. To test this hypothesis, resting-state functional magnetic resonance imaging (fMRI) was used to identify aberrant causal connectivity of the BNST in PD patients. 19 PD patients and 18 healthy controls (HC) matched for gender, age and education were included. Granger causality analysis (GCA) utilizing the BNST as a seed region was used to investigate changes in directional connectivity. Relative to healthy controls, PD patients displayed abnormal directional connectivity of the BNST including enhanced causal connectivity between the left parahippocampal gyrus and left BNST, the right insula and the right BNST, the left BNST and the right dorsolateral prefrontal cortex (dlPFC) and right BNST to the left and right dlPFC. Furthermore, PD patients displayed weakened causal connectivity between the right dlPFC and the left BNST, the left dlPFC and the right BNST, the left BNST and the left dorsomedial prefrontal cortex (dmPFC), right insula, right fusiform, and right BNST to the right insula. The results suggest that PD strongly correlates with increased causal connectivity between emotional processing regions and the BNST and enhanced causal connectivity between the BNST and cognitive control regions.

The relationship among resting-state brain activity and connectivity, agreeableness and displaced aggression: Two possible mediation models

BackgroundDisplaced aggression is a specific form of attack prompted by rumination on anger experiences and revenge thought which might lead to expression of anger on innocent people. There is sufficient evidence demonstrating the potential role of agreeableness in reducing displaced aggression in theory. However, little is known about the neural basis of displaced aggression and how agreeableness and the underlying neural mechanisms link to displaced aggression. MethodsIn this investigation, we examined these issues on 123 college students by assessing resting-state brain activity (i.e. amplitude of low-frequency fluctuation, ALFF) and connectivity (i.e. resting-state functional connectivity, RSFC). ResultsWhole-brain correlation analysis revealed that a higher level of displaced aggression was linked with decreased ALFF in the left dorsomedial prefrontal cortex (dmPFC) and decreased RSFC between the left dmPFC and left ventromedial prefrontal cortex (vmPFC). Mediation analysis further revealed that left dmPFC activity and the left dmPFC–vmPFC connectivity mediated the relationship between agreeableness and displaced aggression, as well as agreeableness mediated the relation between left dmPFC activity and the left dmPFC–vmPFC connectivity and displaced aggression. LimitationsOnly ALFF and RSFC were used as indicators of brain function in this study. The two mediation models need to be further tested by longitudinal design or experimental methods in further studies. ConclusionsThis study suggested that dmPFC and vmPFC might be the functional neural markers of displaced aggression and provided two possible mediation models regarding the relationship among the resting-state brain activity and connectivity, agreeableness and displaced aggression.

Clinical effectiveness of 5Hz Transcranial Magnetic Stimulation applied on Left Dorsolateral Prefrontal Cortex and Dorsomedial Prefrontal Cortex on Clinical Depressed Patients

Clinical effectiveness of 5Hz Transcranial Magnetic Stimulation applied on Left Dorsolateral Prefrontal Cortex and Dorsomedial Prefrontal Cortex on Clinical Depressed Patients

Neuroimaging Metrics of Drug and Food Processing in Cocaine-Dependence, as a Function of Psychopathic Traits and Substance Use Severity.

Previous studies suggest that psychopathic traits commonly present as comorbid with substance use disorders. Moreover, neuroimaging and psychometric findings suggest that psychopathic traits may predispose individuals to a sensitized reward response to drugs. Given that substance use disorders are characterized by a neurocognitive bias toward drug-reward relative to non-drug reward, it is possible that heightened psychopathic characteristics may further predispose to this processing bias. To evaluate this possibility, we assessed psychopathic traits (measured using the PCL-R; Hare, 2003) in 105 probationers/parolees and evaluated the relationship between PCL-R scores, lifetime duration of drug use, and biases in neural response to drug- compared to food-related videos. Psychopathic traits (potentially driven by interpersonal/affective traits) were positively correlated with drug > food reactivity within the right insula and left amygdala. In addition, psychopathic traits modulated the relationship between drug use and drug > food reactivity within the left dorsomedial prefrontal cortex, right insula, and left caudate nucleus. Specifically, lifetime duration of drug use correlated positively with drug > food reactivity in participants with lower levels of psychopathic traits and correlated negatively with drug > food reactivity in individuals with higher levels of psychopathic traits. These results help reconcile prior studies on psychopathy and drug-stimulus processing and provide neurocognitive support for the notion that psychopathic traits serve as an underlying risk factor for substance use disorders. These results suggest that different treatment regimens for substance abuse for individuals with higher or lower levels of psychopathy may be beneficial and suggest that reduction of neurocognitive biases to drug-related stimuli may offer useful targets for future treatment protocols.

An exploratory examination of reappraisal success in depressed adolescents: Preliminary evidence of functional differences in cognitive control brain regions

BackgroundMost neuroimaging studies of adolescent depression employ tasks not designed to engage brain regions necessary for the cognitive control of emotion, which is central to many behavioral therapies for depression. Depressed adults demonstrate less effective activation of these regions and greater amygdala activation during cognitive reappraisal; we examined whether depressed adolescents show similar patterns of brain activation. MethodsWe collected functional magnetic resonance imaging (fMRI) data during cognitive reappraisal in 41 adolescents with major depressive disorder (MDD) and 34 matched controls (ages 13–17). We examined group differences in (1) activations associated with reappraisal and reappraisal success (i.e., negative affect reduction during reappraisal) using whole brain and amygdala region-of-interest analyses, and (2) functional connectivity of regions from the group-by-reappraisal success interaction. ResultsWe found no significant group differences in whole brain or amygdala analyses during reappraisal. In the group-by-reappraisal success interaction, activations in the left dorsomedial prefrontal cortex (dmPFC) and left dorsolateral PFC (dlPFC) were associated with reappraisal success in healthy controls but not depressed adolescents. Depressed adolescents demonstrated reduced connectivity between the left dmPFC and the anterior insula/inferior frontal gyri bilaterally (AI/IFG) and between left dlPFC and left AI/IFG. LimitationsOur results should be considered exploratory given our less conservative statistical threshold in the group-by-reappraisal interaction. ConclusionsWe find preliminary evidence that depressed adolescents engage cognitive control regions less efficiently than healthy controls, suggesting delayed maturation of regulatory prefrontal cortex regions; more research is needed to determine whether cognitive therapies improve functioning of these regions in depressed youth.

Corticolimbic Connectivity Mediates the Relationship between Adverse Childhood Experiences and Symptom Severity in Borderline Personality Disorder

The interaction between biological and environmental factors (especially adverse childhood experiences, ACEs) plays a crucial role in the development and maintenance of borderline personality disorder (BPD). These factors act influencing BPD core features such as pervasive instability in affect regulation, impulse control, social cognition, and interpersonal relationships. In line with this perspective, abnormalities in social cognition and related neurobiological underpinnings could mediate the relationship between ACEs and psychopathological manifestations in adulthood. In a sample of 14 females, functional connectivity (FC) analyses were performed modeling the interaction between ACEs and corticolimbic dysregulation during emotional processing and its relationship with BPD symptom severity. ACEs were associated with a dampening of the negative FC between (1) the right amygdala (Amy) and right dorsolateral prefrontal cortex (DLPFC) and between (2) the left Amy and bilateral DLPFC, right precuneus, left cerebellum and left dorsomedial prefrontal cortex during emotional processing. The connectivity between right Amy and DLPFC mediates the relationship between childhood adversities and BPD symptomatology. Furthermore, the negative FC between Amy and DLPFC, postcentral gyrus, the vermis of cerebellum and precuneus was also associated with BPD symptom severity, with a weaker negative coupling between Amy and these regions being related to a worse BPD psychopathology. Our results confirm the role of ACEs in contributing to social cognition impairments in BPD and related symptomatology from a neurobiological perspective.

Widespread associations between trait conscientiousness and thickness of brain cortical regions

The neural correlates of human personality have been of longstanding interest; however, most studies in the field have relied on modest sample sizes and few replicable results have been reported to date. We investigated relationships between personality and brain gray matter in a sample of generally healthy, older (mean age 73 years) adults from Scotland drawn from the Lothian Birth Cohort 1936. Participants (N = 578) completed a brain MRI scan and self-reported Big Five personality trait measures. Conscientiousness trait scores were positively related to brain cortical thickness in a range of regions, including bilateral parahippocampal gyrus, bilateral fusiform gyrus, left cingulate gyrus, right medial orbitofrontal cortex, and left dorsomedial prefrontal cortex. These associations – most notably in frontal regions – were modestly-to-moderately attenuated by the inclusion of biomarker variables assessing allostatic load and smoking status. None of the other personality traits showed robust associations with brain cortical thickness, nor did we observe any personality trait associations with cortical surface area and gray matter volume. These findings indicate that brain cortical thickness is associated with conscientiousness, perhaps partly accounted for by allostatic load and smoking status.

Changes in morning salivary melatonin correlate with prefrontal responses during working memory performance.

Humans demonstrate a circadian rhythm of melatonin production that closely tracks the daily light/dark cycle, with profound increases in circulating levels during the night-time and nearly nonexistent levels during daylight hours. Although melatonin is known to play a role in preparing the brain and body for sleep, its effects on cognition and brain function are not well understood. We hypothesized that declines in morning melatonin would be associated with increased functional activation within cortical regions involved in alertness, attention, and executive function. We measured the change in salivary melatonin from mid-morning to late-morning in 26 healthy young adults who were also exposed to a 30-min period of blue or amber light followed by functional MRI during a working memory task (N-back). Brain activation was regressed on the change in melatonin scores from the mid-morning to late-morning saliva samples and the role of light exposure was also assessed. Although overall melatonin levels did not change significantly over the morning at the group level, individual declines in salivary melatonin were associated with significant increases in activation within the left dorsomedial and right inferior lateral prefrontal cortex during the 2-back condition (P<0.05, cluster corrected). Medial prefrontal activation also correlated modestly with better vigilance performance during the 0-back (P<0.05), but not the 1-back or 2-back conditions. The light condition did not affect the outcomes. These findings suggest declining melatonin levels in the morning are associated with increased prefrontal cortex functioning and may play a role in the increased frontal activation that occurs following awakening.

Altered Neural Activity during Irony Comprehension in Unaffected First-Degree Relatives of Schizophrenia Patients-An fMRI Study.

Irony is a type of figurative language in which the literal meaning of the expression is the opposite of what the speaker intends to communicate. Even though schizophrenic patients are known as typically impaired in irony comprehension and in the underlying neural functions, to date no one has explored the neural correlates of figurative language comprehension in first-degree relatives of schizophrenic patients. In the present study, we examined the neural correlates of irony understanding in schizophrenic patients and in unaffected first-degree relatives of patients compared to healthy adults with functional MRI. Our aim was to investigate if possible alterations of the neural circuits supporting irony comprehension in first-degree relatives of patients with schizophrenia would fulfill the familiality criterion of an endophenotype. We examined 12 schizophrenic patients, 12 first-degree relatives of schizophrenia patients and 12 healthy controls with functional MRI while they were performing irony and control tasks. Different phases of irony processing were examined, such as context processing and ironic statement comprehension. Patients had significantly more difficulty understanding irony than controls or relatives. Patients also showed markedly different neural activation pattern compared to controls in both stages of irony processing. Although no significant differences were found in the performance of the irony tasks between the control group and the relative group, during the fMRI analysis, the relatives showed stronger brain activity in the left dorsolateral prefrontal cortex during the context processing phase of irony tasks than the control group. However, the controls demonstrated higher activations in the left dorsomedial prefrontal cortex and in the right inferior frontal gyrus during the ironic statement phase of the irony tasks than the relative group. Our results show that despite good task performance, first-degree relatives of schizophrenia patients had alterations in the neural circuits during irony processing. Thus, we suggest that neural alteration of irony comprehension could be a potential endophenotypic marker of schizophrenia.

Principal component analysis and neural predictors of emotion regulation

Reappraisal, a cognitive approach intended to alter an emotional response, is generally associated with prefrontal cortical recruitment and decreased limbic activity. However, the extent to which neurofunctional activity predicts successful reappraisal is unclear. During fMRI, 60 healthy participants completed a reappraisal paradigm, which included reappraising negative images to reduce emotional reactivity (‘ReappNeg’) and viewing negative images and experiencing the negative affect they evoke (‘LookNeg’). After each trial, participants rated their emotional response on a Likert-type scale where higher values indicated more negative affect. Reappraisal ability was based on a difference value (ΔReappNeg-LookNeg) such that negative values signified successful reappraisal (‘SR’; n=38) and positive values, unsuccessful reappraisal (‘USR’; n=22). Neural activity based on ReappNeg-LookNeg conditions from 37 regions of interest encompassing cortical and limbic areas was submitted to Principal Component Analysis (PCA). Resulting PCA factors were submitted to discriminant function analysis to evaluate which factor(s) predicted SR and USR groups. Results showed a factor with high loadings for certain frontal areas (e.g., left dorsomedial prefrontal cortex) and limbic regions (e.g., bilateral amygdala) predicted 71.1% of cases in the SR group and 68.2% of cases in the USR group. Additionally, successful reappraisal corresponded with more activation in the factor with high loadings for frontal areas and less activity in the factor associated with limbic regions. Results are consistent with studies of individual differences where more prefrontal engagement and less limbic activity is associated with effectual reappraisal, but for the first time, a neural ‘signature’ for successful reappraisal has been demonstrated.

Structural characteristics of the brain reward circuit regions in patients with bipolar I disorder: A voxel-based morphometric study

Bipolar I disorder (BD-I) is often misdiagnosed, leading to inadequate treatment and significant disability along with reduced quality of life. Recent neural models suggest that the reward circuitry is affected in bipolar disorder. The purpose of the present study was to identify structural abnormalities in the brain reward-processing neural circuitry among patients with BD-I. 21 patients with BD-I and 21 healthy controls (HC) participated in this study. Structural magnetic resonance imaging was performed. Region-of-interest (ROI) voxel-based morphometry analysis was applied to assess the presence of structural changes between the BD-I patient group and the control group. The results of the reward circuitry ROI analysis revealed lower gray matter volumes in the left ventromedial prefrontal cortex (VMPFC), left dorsomedial prefrontal cortex (DMPFC), and left ventrolateral prefrontal cortex (VLPFC) in patients with BD-I compared to HC. Our results suggest that abnormalities in the brain reward-processing neural circuitry, especially those in the left VMPFC, left DMPFC, and left VLPFC, may play an important role in the pathophysiology of BD-I.

Reduced Gray Matter Volume in the Social Brain Network in Adults with Autism Spectrum Disorder.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by behavioral impairment in social interactions. Although theoretical and empirical evidence suggests that impairment in the social brain network could be the neural underpinnings of ASD, previous structural magnetic resonance imaging (MRI) studies in adults with ASD have not provided clear support for this, possibly due to confounding factors, such as language impairments. To further explore this issue, we acquired structural MRI data and analyzed gray matter volume in adults with ASD (n = 36) who had no language impairments (diagnosed with Asperger’s disorder or pervasive developmental disorder not otherwise specified, with symptoms milder than those of Asperger’s disorder), had no comorbidity, and were not taking medications, and in age- and sex-matched typically developing (TD) controls (n = 36). Univariate voxel-based morphometry analyses revealed that regional gray matter volume was lower in the ASD than in the control group in several brain regions, including the right inferior occipital gyrus, left fusiform gyrus, right middle temporal gyrus, bilateral amygdala, right inferior frontal gyrus, right orbitofrontal cortex, and left dorsomedial prefrontal cortex. A multivariate approach using a partial least squares (PLS) method showed that these regions constituted a network that could be used to discriminate between the ASD and TD groups. A PLS discriminant analysis using information from these regions showed high accuracy, sensitivity, specificity, and precision (>80%) in discriminating between the groups. These results suggest that reduced gray matter volume in the social brain network represents the neural underpinnings of behavioral social malfunctioning in adults with ASD.

Lifetime PTSD and geriatric depression symptomatology relate to altered dorsomedial frontal and amygdala morphometry

Posttraumatic stress disorder (PTSD) affects a large portion of combat deployed Veterans. Moreover, many individuals also suffer from comorbid late life depression (geriatric depression; GD). While a great deal of research has begun to characterize the morphometric features of PTSD and depression individually, few studies have investigated the interacting effect of these two disorders, specifically in a Veteran population. The current study used cortical and subcortical surface-based morphometry (SBM) in combination with psychological assessments of PTSD and GD symptom severity to examine morphometric alterations in Vietnam War Veterans. Our results indicated that increased GD severity, PTSD symptomatology, and their interaction, was related to decreased grey matter volume (GMV) in the left dorsomedial prefrontal cortex (dmPFC). Furthermore, increased symptomatology in the PTSD subscales of reexperiencing and hyperarousal were additionally found to be related to decreased GMV in this same dmPFC region. Subcortically, the interacting effect between PTSD and GD was also significantly related to regional shape variation in the left amygdala. These results suggest that morphometry of cortical (dmPFC) and non-neocortical regions (amygdala) putatively underlying emotional reactivity and the emotional components of memory is altered in PTSD and GD.

Mapping the effect of escitalopram treatment on amplitude of low-frequency fluctuations in patients with depression: a resting-state fMRI study.

Antidepressant medications represent the most common treatment option for major depressive disorder (MDD), but the neuro-psychological mechanisms by which antidepressants act to improve depressive symptoms remain under-specified. We designed this study to assess the effects of escitalopram treatment on spontaneous brain activity of MDD patients using functional magnetic resonance imaging (fMRI). Twenty first-episode drug-naive MDD patients received resting-state fMRI scans before and after 8weeks of treatment with a selective serotonin reuptake inhibitor - escitalopram. Twenty age- and gender-matched healthy controls were also scanned twice with an 8-week interval. The fractional amplitude of low-frequency fluctuation (fALFF) was used to characterize the spontaneous brain activity. The analysis of covariance (ANCOVA) was performed to determine treatment-related changes in fALFF. The symptoms were significantly improved in MDD patients after treatment. We observed significant group-by-time interaction on fALFF in the left dorsomedial prefrontal cortex, the right middle frontal gyrus, and the left putamen. Post-hoc analyses showed that the fALFF values in these regions were significantly higher in the MDD patients compared to healthy controls at baseline and were reduced after treatment. The findings suggest that abnormalities in the brain areas involved in emotional processing and regulation could be normalized by effective antidepressant treatment with escitalopram in the MDD patients and free of a task situation.