Aberrant gastric functioning in weight-restored but not acute restricting-type anorexia nervosa: An electrogastrography study.

OBJECTIVE: Individuals with anorexia nervosa (AN) have high levels of gastrointestinal (GI) symptoms, functional GI disorders, and alterations in interoception. The primary aims of the current study were to determine (1) whether individuals with AN differed in gastric physiology as measured by electrogastrography (EGG) as compared to healthy individuals and (2) whether their EGG activity changed from pre- to post-weight restoration. METHOD: Adolescent and young adult females receiving inpatient treatment for restricting-type AN (n = 20) and healthy control females (n = 21) completed two EGG sessions, with measurements taken in fasting state and after administration of a water load. Participants with AN completed the first session while underweight and the second session following weight restoration. Healthy control participants also completed two sessions matched for length of time between sessions. RESULTS: Participants with AN exhibited decreased normogastria post-water load when they were weight restored compared to when they were underweight. Healthy control participants' EGG measures were stable across sessions. DISCUSSION: Findings provide evidence for aberrant gastric physiology in individuals with AN who have been weight restored, but not those in the acute phase of the illness. This supports the need for further research on GI functioning in AN. PUBLIC SIGNIFICANCE: Anorexia nervosa (AN) is a highly debilitating eating disorder that is difficult to treat. The causes of AN are largely unknown, but some theories suggest problems in gastrointestinal functioning may contribute to the disorder. This study found aberrant gastric functioning in individuals diagnosed with AN after weight restoration treatment. These findings contribute to our understanding of the causes and maintenance of AN and may ultimately lead to better treatments.

Impact of ibuprofen and peroxisome proliferator-activated receptor gamma on emotion-related neural activation: A randomized, placebo-controlled trial.

Nonsteroidal anti-inflammatory drugs (NSAIDs) such as ibuprofen have shown initial promise in producing antidepressant effects. This is perhaps due to these drugs being peroxisome proliferator-activated receptor gamma (PPARγ) agonists, in addition to their inhibition of cyclooxygenase enzymes. Some, albeit mixed, evidence suggests that PPARγ agonists have antidepressant effects in humans and animals. This double-blind, placebo-controlled, pharmacologic functional magnetic resonance imaging (ph-fMRI) study aimed to elucidate the impact of ibuprofen on emotion-related neural activity and determine whether observed effects were due to changes in PPARγ gene expression. Twenty healthy volunteers completed an emotional face matching task during three fMRI sessions, conducted one week apart. Placebo, 200 mg, or 600 mg ibuprofen was administered 1 h prior to each scan in a pseudo-randomized order. Peripheral blood mononuclear cells were collected at each session to isolate RNA for PPARγ gene expression. At the doses used, ibuprofen did not significantly change PPARγ gene expression. Ibuprofen dose was associated with decreased blood oxygen level-dependent (BOLD) activation in the dorsolateral prefrontal cortex and fusiform gyrus during emotional face processing (faces-shapes). Additionally, PPARγ gene expression was associated with increased BOLD activation in the insula and transverse and superior temporal gyri (faces-shapes). No interaction effects between ibuprofen dose and PPARγ gene expression on BOLD activation were observed. Thus, results suggest that ibuprofen and PPARγ may have independent effects on emotional neurocircuitry. Future studies are needed to further delineate the roles of ibuprofen and PPARγ in exerting antidepressant effects in healthy as well as clinical populations.

Appetite changes reveal depression subgroups with distinct endocrine, metabolic, and immune states.

There exists little human neuroscience research to explain why some individuals lose their appetite when they become depressed, while others eat more. Answering this question may reveal much about the various pathophysiologies underlying depression. The present study combined neuroimaging, salivary cortisol, and blood markers of inflammation and metabolism collected prior to scanning. We compared the relationships between peripheral endocrine, metabolic, and immune signaling and brain activity to food cues between depressed participants experiencing increased (N = 23) or decreased (N = 31) appetite and weight in their current depressive episode and healthy control participants (N = 42). The two depression subgroups were unmedicated and did not differ in depression severity, anxiety, anhedonia, or body mass index. Depressed participants experiencing decreased appetite had higher cortisol levels than subjects in the other two groups, and their cortisol values correlated inversely with the ventral striatal response to food cues. In contrast, depressed participants experiencing increased appetite exhibited marked immunometabolic dysregulation, with higher insulin, insulin resistance, leptin, CRP, IL-1RA, and IL-6, and lower ghrelin than subjects in other groups, and the magnitude of their insulin resistance correlated positively with the insula response to food cues. These findings provide novel evidence linking aberrations in homeostatic signaling pathways within depression subtypes to the activity of neural systems that respond to food cues and select when, what, and how much to eat. In conjunction with prior work, the present findings strongly support the existence of pathophysiologically distinct depression subtypes for which the direction of appetite change may be an easily measured behavioral marker.

Associated Changes in E-cigarette Puff Duration and Cigarettes Smoked per Day.

INTRODUCTION: To examine whether changes in select measures of e-cigarette puffing topography are associated with changes in smoking behavior. METHODS: Sixteen current cigarette smokers were instructed to completely switch from smoking combustible cigarettes to using e-cigarettes over a 2-week period. The study was completed in the Southern Midwestern region of the United States. Measures included demographics, smoking history, and cigarette dependence, as well as baseline and 2-week follow-up self-reported cigarettes per day, cigarette craving and urges, exhaled carbon monoxide readings, and e-cigarette usage data (puff number, puffing time, and average puff duration) collected via the e-cigarette built-in puff counter. RESULTS: Over the 2-week switching period, participants significantly reduced their cigarettes per day (~80% reduction, p < .0001). Although the number of e-cigarette puffs/day remained relatively stable (p > .05), the average total e-cigarette daily puffing time increased significantly (p = .001). Users' average puff duration increased by 91 ms/puff/d (p < .001). The percentage decrease in cigarettes smoked per day was significantly and directly related to the slope of subjects' average puff duration over time (r(13) = .62, p = .01), such that as cigarettes per day decreased, puff duration increased. Self-reported smoking urges remained relatively stable from baseline to the end of the 2-week period (p > .05). CONCLUSIONS: Among smokers switching to an e-cigarette, greater increases in e-cigarette puff duration was associated with greater reductions in cigarette smoking. IMPLICATIONS: The current study is one of the first to examine changes in smokers' e-cigarette puffing behavior and associated changes in cigarette consumption as they attempt to completely switch to e-cigarettes. During a 2-week switching period, participants reduced their cigarettes per day. Moreover, although e-cigarette puffs per day remained relatively stable, users' average puff duration increased significantly. Greater increases in e-cigarette puff duration were associated with greater reductions in cigarette smoking. Understanding how to effectively use an e-cigarette to best reduce and eventually quit smoking will be necessary as smokers increasingly turn to these products to facilitate possible cessation.

Into the Unknown: Examining Neural Representations of Parent-Adolescent Interactions.

The parent-adolescent relationship is important for adolescents' emotion regulation (ER), yet little is known regarding the neural patterns of dyadic ER that occur during parent-adolescent interactions. A novel measure that can be used to examine such patterns is cross-brain connectivity (CBC)-concurrent and time-lagged connectivity between two individuals' brain regions. This study sought to provide evidence of CBC and explore associations between CBC, parenting, and adolescent internalizing symptoms. Thirty-five adolescents (mean age = 15 years, 69% female, 72% Non-Hispanic White, 17% Black, 11% Hispanic or Latino) and one biological parent (94% female) completed an fMRI hyperscanning conflict discussion task. Results revealed CBC between emotion-related brain regions. Exploratory analyses indicated CBC is associated with parenting and adolescent depressive symptoms.

Interoceptive predictions in the brain.

Intuition suggests that perception follows sensation and therefore bodily feelings originate in the body. However, recent evidence goes against this logic: interoceptive experience may largely reflect limbic predictions about the expected state of the body that are constrained by ascending visceral sensations. In this Opinion article, we introduce the Embodied Predictive Interoception Coding model, which integrates an anatomical model of corticocortical connections with Bayesian active inference principles, to propose that agranular visceromotor cortices contribute to interoception by issuing interoceptive predictions. We then discuss how disruptions in interoceptive predictions could function as a common vulnerability for mental and physical illness.

Appetite change profiles in depression exhibit differential relationships between systemic inflammation and activity in reward and interoceptive neurocircuitry.

Appetite change is a defining feature of major depressive disorder (MDD), yet little neuroscientific evidence exists to explain why some individuals experience increased appetite when they become depressed while others experience decreased appetite. Previous research suggests depression-related appetite changes can be indicative of underlying neural and inflammatory differences among MDD subtypes. The present study explores the relationship between systemic inflammation and brain circuitry supporting food hedonics for individuals with MDD. Sixty-four participants (31 current, unmedicated MDD and 33 healthy controls [HC]) provided blood samples for analysis of an inflammatory marker, C-reactive protein (CRP), and completed a functional magnetic resonance imaging (fMRI) scan in which they rated the perceived pleasantness of various food stimuli. Random-effects multivariate modeling was used to explore group differences in the relationship between CRP and the coupling between brain activity and inferred food pleasantness (i.e., strength of the relationship between activity and pleasantness ratings). Results revealed that for MDD with increased appetite, higher CRP in blood related to greater coupling between orbitofrontal cortex and anterior insula activity and inferred food pleasantness. Compared to HC, all MDD exhibited a stronger positive association between CRP and coupling between activity in striatum and inferred food pleasantness. These findings suggest that for individuals with MDD, systemic low-grade inflammation is associated with differences in reward and interoceptive-related neural circuitry when making hedonic inferences about food stimuli. In sum, altered immunologic states may affect appetite and inferences about food reward in individuals with MDD and provide evidence for physiological subtypes of MDD.

Depression and obesity: evidence of shared biological mechanisms.

Depression and obesity are common conditions with major public health implications that tend to co-occur within individuals. The relationship between these conditions is bidirectional: the presence of one increases the risk for developing the other. It has thus become crucial to gain a better understanding of the mechanisms responsible for the intertwined downward physiological spirals associated with both conditions. The present review focuses specifically on shared biological pathways that may mechanistically explain the depression-obesity link, including genetics, alterations in systems involved in homeostatic adjustments (HPA axis, immuno-inflammatory activation, neuroendocrine regulators of energy metabolism including leptin and insulin, and microbiome) and brain circuitries integrating homeostatic and mood regulatory responses. Furthermore, the review addresses interventional opportunities and questions to be answered by future research that will enable a comprehensive characterization and targeting of the biological links between depression and obesity.

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.

The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing, nationwide study of the effects of environmental influences on behavioral and brain development in adolescents. The main objective of the study is to recruit and assess over eleven thousand 9-10-year-olds and follow them over the course of 10 years to characterize normative brain and cognitive development, the many factors that influence brain development, and the effects of those factors on mental health and other outcomes. The study employs state-of-the-art multimodal brain imaging, cognitive and clinical assessments, bioassays, and careful assessment of substance use, environment, psychopathological symptoms, and social functioning. The data is a resource of unprecedented scale and depth for studying typical and atypical development. The aim of this manuscript is to describe the baseline neuroimaging processing and subject-level analysis methods used by ABCD. Processing and analyses include modality-specific corrections for distortions and motion, brain segmentation and cortical surface reconstruction derived from structural magnetic resonance imaging (sMRI), analysis of brain microstructure using diffusion MRI (dMRI), task-related analysis of functional MRI (fMRI), and functional connectivity analysis of resting-state fMRI. This manuscript serves as a methodological reference for users of publicly shared neuroimaging data from the ABCD Study.

Cardiorespiratory noise correction improves the ASL signal.

Cardiorespiratory fluctuations such as changes in heart rate or respiration volume influence the temporal dynamics of cerebral blood flow (CBF) measurements during arterial spin labeling (ASL) fMRI. This "physiological noise" can confound estimates of resting state network activity, and it may lower the signal-to-noise ratio of ASL during task-related experiments. In this study we examined several methods for minimizing the contributions of both synchronized and non-synchronized physiological noise in ASL measures of CBF, by combining the RETROICOR approach with different linear deconvolution models. We evaluated the amount of variance in CBF that could be explained by each method during physiological rest, in both resting state and task performance conditions. To further demonstrate the feasibility of this approach, we induced low-frequency cardiorespiratory deviations via peripheral adrenergic stimulation with isoproterenol, and determined how these fluctuations influenced CBF, before and after applying noise correction. By suppressing physiological noise, we observed substantial improvements in the signal-to-noise ratio at the individual and group activation levels. Our results suggest that variations in cardiac and respiratory parameters can account for a large proportion of the variance in resting and task-based CBF, and indicate that regressing out these non-neuronal signal variations improves the intrinsically low signal-to-noise ratio of ASL. This approach may help to better identify and control physiologically driven activations in ASL resting state and task-based analyses.

Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests.

MOTIVATION: Classification of individuals into disease or clinical categories from high-dimensional biological data with low prediction error is an important challenge of statistical learning in bioinformatics. Feature selection can improve classification accuracy but must be incorporated carefully into cross-validation to avoid overfitting. Recently, feature selection methods based on differential privacy, such as differentially private random forests and reusable holdout sets, have been proposed. However, for domains such as bioinformatics, where the number of features is much larger than the number of observations p≫n , these differential privacy methods are susceptible to overfitting. METHODS: We introduce private Evaporative Cooling, a stochastic privacy-preserving machine learning algorithm that uses Relief-F for feature selection and random forest for privacy preserving classification that also prevents overfitting. We relate the privacy-preserving threshold mechanism to a thermodynamic Maxwell-Boltzmann distribution, where the temperature represents the privacy threshold. We use the thermal statistical physics concept of Evaporative Cooling of atomic gases to perform backward stepwise privacy-preserving feature selection. RESULTS: On simulated data with main effects and statistical interactions, we compare accuracies on holdout and validation sets for three privacy-preserving methods: the reusable holdout, reusable holdout with random forest, and private Evaporative Cooling, which uses Relief-F feature selection and random forest classification. In simulations where interactions exist between attributes, private Evaporative Cooling provides higher classification accuracy without overfitting based on an independent validation set. In simulations without interactions, thresholdout with random forest and private Evaporative Cooling give comparable accuracies. We also apply these privacy methods to human brain resting-state fMRI data from a study of major depressive disorder. AVAILABILITY AND IMPLEMENTATION: Code available at http://insilico.utulsa.edu/software/privateEC . CONTACT: brett-mckinney@utulsa.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Influence of Visceral Interoceptive Experience on the Brain's Response to Food Images in Anorexia Nervosa.

OBJECTIVE: The aim of the study was to determine how visceral sensations affect responses to food stimuli in anorexia nervosa (AN). METHODS: Twenty weight-restored, unmedicated adolescent and young adult women with AN and twenty healthy control participants completed an interoceptive attention task during which they focused on sensations from the heart, stomach, and bladder and made ratings of these sensations. They then underwent functional magnetic resonance imaging scanning while viewing pictures of food and nonfood objects. Between-groups t tests were employed to investigate group differences in the relationship between interoceptive sensation ratings and brain hemodynamic response to food pictures and, specifically, to highly palatable foods. RESULTS: In response to food pictures, AN participants exhibited a positive relationship between stomach sensation ratings and posterior insula activation (peak t = 4.30). AN participants displayed negative relationships between stomach sensation ratings and amygdala activation (peak t = -4.05) and heart sensation ratings and ventromedial prefrontal cortex activation (peak t = -3.52). In response to highly palatable foods, AN was associated with positive relationships between stomach sensation ratings and activity in the subgenual anterior cingulate (peak t = 3.88) and amygdala (peak t = 4.83), and negative relationships in the ventral pallidum (peak t = -3.99) and ventral tegmental area (peak t = -4.03). AN participants also exhibited negative relationships between cardiac sensations and activation in response to highly palatable foods in the putamen (peak t = -3.41) and ventromedial prefrontal cortex (peak t = -3.61). Healthy participants exhibited the opposite pattern in all of these regions. CONCLUSIONS: Hedonic and interoceptive inferences made by individuals with AN at the sight of food may be influenced by atypical visceral interoceptive experience, which could contribute to restrictive eating.

The Clinical Significance of Posterior Insular Volume in Adolescent Anorexia Nervosa.

OBJECTIVE: The diagnostic criterion disturbance in the experience of the body remains a poorly understood and persistent feature of anorexia nervosa (AN). Increased sophistication in understanding the structure of the insular cortex-a neural structure that receives and integrates visceral sensations with action and meaning-may elucidate the nature of this disturbance. We explored age, weight status, illness severity, and self-reported body dissatisfaction associations with insular cortex volume. METHODS: Structural magnetic resonance imaging data were collected from 21 adolescents with a history of AN and 20 age-, sex-, and body mass index-matched controls. Insular cortical volumes (bilateral anterior and posterior regions) were identified using manual tracing. RESULTS: Volumes of the right posterior insula demonstrated the following: (a) a significant age by clinical status interaction (ß = -0.018 [0.008]; t = 2.32, p = .02) and (b) larger volumes were associated with longer duration of illness (r = 0.48, p < .04). In contrast, smaller volumes of the right anterior insula were associated with longer duration of illness (r = -0.50, p < .03). The associations of insular volume with body dissatisfaction were of moderate effect size and also of opposite direction, but a statistical trend in right posterior (r = 0.40, p < .10 in right posterior; r = -0.49, p < .04 in right anterior). CONCLUSIONS: In this exploratory study, findings of atypical structure of the right posterior insular cortex point to the importance of future work investigating the role of visceral afferent signaling in understanding disturbance in body experience in AN.

PTSD and cognitive symptoms relate to inhibition-related prefrontal activation and functional connectivity.

BACKGROUND: Posttraumatic stress disorder (PTSD) is associated with reduced executive functioning and verbal memory performance, as well as abnormal task-specific activity in prefrontal cortex (PFC) and anterior cingulate cortices (ACC). The current study examined how PTSD symptoms and neuropsychological performance in combat veterans relates to (1) medial PFC and ACC activity during cognitive inhibition, and (2) task-independent PFC functional connectivity. METHODS: Thirty-nine male combat veterans with varying levels of PTSD symptoms completed the multisource interference task during functional magnetic resonance imaging. Robust regression analyses were used to assess relationships between percent signal change (PSC: incongruent-congruent) and both PTSD severity and neuropsychological performance. Analyses were conducted voxel-wise and for PSC extracted from medial PFC and ACC regions of interest. Resting-state scans were available for veterans with PTSD. Regions identified via task-based analyses were used as seeds for resting-state connectivity analyses. RESULTS: Worse PTSD severity and neuropsychological performance related to less medial PFC and rostral ACC activity during interference processing, driven partly by increased activation to congruent trials. Worse PTSD severity related to reduced functional connectivity between these regions and bilateral, lateral PFC (Brodmann area 10). Worse neuropsychological performance related to reduced functional connectivity between these regions and the inferior frontal gyrus. CONCLUSIONS: PTSD and associated neuropsychological deficits may result from difficulties regulating medial PFC regions associated with "default mode," or self-referential processing. Further clarification of functional coupling deficits between default mode and executive control networks in PTSD may enhance understanding of neuropsychological and emotional symptoms and provide novel treatment targets.

A common gustatory and interoceptive representation in the human mid-insula.

The insula serves as the primary gustatory and viscerosensory region in the mammalian cortex. It receives visceral and gustatory afferent projections through dedicated brainstem and thalamic nuclei, which suggests a potential role as a site for homeostatic integration. For example, while human neuroimaging studies of gustation have implicated the dorsal mid-insular cortex as one of the primary gustatory regions in the insula, other recent studies have implicated this same region of the insula in interoception. This apparent convergence of gustatory and interoceptive information could reflect a common neural representation in the insula shared by both interoception and gustation. This idea finds support in translational studies in rodents, and may constitute a medium for integrating homeostatic information with feeding behavior. To assess this possibility, healthy volunteers were asked to undergo fMRI while performing tasks involving interoceptive attention to visceral sensations as well as a gustatory mapping task. Analysis of the unsmoothed, high-resolution fMRI data confirmed shared representations of gustatory and visceral interoception within the dorsal mid-insula. Group conjunction analysis revealed overlapping patterns of activation for both tasks in the dorsal mid-insula, and region-of-interest analyses confirmed that the dorsal mid-insula regions responsive for visceral interoception also exhibit strong responses to tastants.

Attentional bias to food cues in youth with loss of control eating.

Emerging data indicate that adults with binge eating may exhibit an attentional bias toward highly palatable foods, which may promote obesogenic eating patterns and excess weight gain. However, it is unknown to what extent youth with loss of control (LOC) eating display a similar bias. We therefore studied 76 youth (14.5 ± 2.3 years; 86.8% female; BMI-z 1.7 ± .73) with (n = 47) and without (n = 29) reported LOC eating. Following a breakfast to reduce hunger, youth participated in a computerized visual probe task of sustained attention that assessed reaction time to pairs of pictures consisting of high palatable foods, low palatable foods, and neutral household objects. Although sustained attentional bias did not differ by LOC eating presence and was unrelated to body weight, a two-way interaction between BMI-z and LOC eating was observed (p = .01), such that only among youth with LOC eating, attentional bias toward high palatable foods versus neutral objects was positively associated with BMI-z. These findings suggest that LOC eating and body weight interact in their association with attentional bias to highly palatable foods cues, and may partially explain the mixed literature linking attentional bias to food cues with excess body weight.

Early Life Adversity Predicts Reduced Hippocampal Volume in the Adolescent Brain Cognitive Development Study.

PURPOSE: Cross-sectional studies in adults have demonstrated associations between early life adversity (ELA) and reduced hippocampal volume, but the timing of these effects is not clear. The present study sought to examine whether ELA predicts changes in hippocampal volume over time in a large sample of early adolescents. METHODS: The Adolescent Brain Cognitive Development Study provides a large dataset of tabulated neuroimaging, youth-reported adverse experiences, and parent-reported financial adversity from a sample of children around the United States. Linear mixed effects modeling was used to determine the relationship between ELA and hippocampal volume change within youth (n = 7036) from ages 9-10 to 11-12 years. RESULTS: Results of the models indicated that the number of early adverse events predicted bilateral hippocampal volume change (ß = -0.02, t = -2.02, p < .05). Higher adversity was associated with lower hippocampal volume at Baseline (t = 5.55, p < .01) and at Year 2 (t = 6.14, p < .001). DISCUSSION: These findings suggest that ELA may affect hippocampal development during early adolescence. Prevention and early intervention are needed to alter the course of this trajectory. Future work should examine associations between ELA, hippocampal development, and educational and socioemotional outcomes.

Contextual processing of abstract concepts reveals neural representations of nonlinguistic semantic content.

Concepts develop for many aspects of experience, including abstract internal states and abstract social activities that do not refer to concrete entities in the world. The current study assessed the hypothesis that, like concrete concepts, distributed neural patterns of relevant nonlinguistic semantic content represent the meanings of abstract concepts. In a novel neuroimaging paradigm, participants processed two abstract concepts (convince, arithmetic) and two concrete concepts (rolling, red) deeply and repeatedly during a concept-scene matching task that grounded each concept in typical contexts. Using a catch trial design, neural activity associated with each concept word was separated from neural activity associated with subsequent visual scenes to assess activations underlying the detailed semantics of each concept. We predicted that brain regions underlying mentalizing and social cognition (e.g., medial prefrontal cortex, superior temporal sulcus) would become active to represent semantic content central to convince, whereas brain regions underlying numerical cognition (e.g., bilateral intraparietal sulcus) would become active to represent semantic content central to arithmetic. The results supported these predictions, suggesting that the meanings of abstract concepts arise from distributed neural systems that represent concept-specific content.

Keeping the body in mind: insula functional organization and functional connectivity integrate interoceptive, exteroceptive, and emotional awareness.

Relatively discrete experimental literatures have grown to support the insula's role in the domains of interoception, focal exteroceptive attention and cognitive control, and the experience of anxiety, even as theoretical accounts have asserted that the insula is a critical zone for integrating across these domains. Here we provide the first experimental demonstration that there exists a functional topography across the insula, with distinct regions in the same participants responding in a highly selective fashion for interoceptive, exteroceptive, and affective processing. Although each insular region is associated with areas of differential resting state functional connectivity relative to the other regions, overall their functional connectivity profiles are quite similar, thereby providing a map of how interoceptive, exteroceptive, and emotional awareness are integrated within the insular cortex.

Fractionation of social brain circuits in autism spectrum disorders.

Autism spectrum disorders are developmental disorders characterized by impairments in social and communication abilities and repetitive behaviours. Converging neuroscientific evidence has suggested that the neuropathology of autism spectrum disorders is widely distributed, involving impaired connectivity throughout the brain. Here, we evaluate the hypothesis that decreased connectivity in high-functioning adolescents with an autism spectrum disorder relative to typically developing adolescents is concentrated within domain-specific circuits that are specialized for social processing. Using a novel whole-brain connectivity approach in functional magnetic resonance imaging, we found that not only are decreases in connectivity most pronounced between regions of the social brain but also they are selective to connections between limbic-related brain regions involved in affective aspects of social processing from other parts of the social brain that support language and sensorimotor processes. This selective pattern was independently obtained for correlations with measures of social symptom severity, implying a fractionation of the social brain in autism spectrum disorders at the level of whole circuits.