ArticleFrontiers in neuroscience2016
Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study.
Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 54 citations in OpenAlex.
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- Cerebellar Contributions to Cerebral Connectivity in Severe Mental Illness: A Developmental Cascade and Predictive-Modeling Framework with Autistic Disorder as the Focal Case.Brain sciences · 2026Review
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- Structural Cerebellar and Lateral Frontoparietal Networks are altered in CUD: An SBM Analysis.Addiction biology · 2025Article
- The phobic brain: Morphometric features correctly classify individuals with small animal phobia.Psychophysiology · 2025Article
- Gray and white matter alterations in Obsessive-Compulsive Personality Disorder: a data fusion machine learning approach.Frontiers in human neuroscience · 2025Article
- Decoding acceptance and reappraisal strategies from resting state macro networks.Scientific reports · 2024Article
- Differences in regional brain structure in toddlers with autism are related to future language outcomes.Nature communications · 2024Article
- Impacts of dioxin exposure on brain connectivity estimated by DTI analysis of MRI images in men residing in contaminated areas of Vietnam.Frontiers in neuroscience · 2024Article
- dcSBM: A federated constrained source-based morphometry approach for multivariate brain structure mapping.Human brain mapping · 2023Article
- Linking functional and structural brain organisation with behaviour in autism: a multimodal EU-AIMS Longitudinal European Autism Project (LEAP) study.Molecular autism · 2023Article
- Decoding reappraisal and suppression from neural circuits: A combined supervised and unsupervised machine learning approach.Cognitive, affective & behavioral neuroscience · 2023Article
- Language, Social, and Face Regions Are Affected in Toddlers with Autism and Predictive of Language Outcome.Research square · 2023Article
- Disturbed hippocampal intra-network in first-episode of drug-naïve major depressive disorder.Brain communications · 2023Article
- Resting-state BOLD temporal variability in sensorimotor and salience networks underlies trait emotional intelligence and explains differences in emotion regulation strategies.Scientific reports · 2022Article
- Association between empathy and drinking among a community sample of heavy drinkers: Sex differences and neural correlates.Addictive behaviors · 2022Article
- The structural neural correlates of atypical facial expression recognition in autism spectrum disorder.Brain imaging and behavior · 2022Article
- Developmental brain structural atypicalities in autism: a voxel-based morphometry analysis.Child and adolescent psychiatry and mental health · 2022Article
- Abnormal Degree Centrality in Children with Low-Function Autism Spectrum Disorders: A Sleeping-State Functional Magnetic Resonance Imaging Study.Neuropsychiatric disease and treatment · 2022Article
- Structural Features Predict Sexual Trauma and Interpersonal Problems in Borderline Personality Disorder but Not in Controls: A Multi-Voxel Pattern Analysis.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism is a neurodevelopmental disorder that mainly affects social interaction and communication. Evidence from behavioral and functional MRI studies supports the hypothesis that dysfunctional mechanisms involving social brain structures play a major role in autistic symptomatology. However, the investigation of anatomical abnormalities in the brain of people with autism has led to inconsistent results. We investigated whether specific brain regions, known to display functional abnormalities in autism, may exhibit mutual and peculiar patterns of covariance in their gray-matter concentrations. We analyzed structural MRI images of 32 young men affected by autistic disorder (AD) and 50 healthy controls. Controls were matched for sex, age, handedness. IQ scores were also monitored to avoid confounding. A multivariate Source-Based Morphometry (SBM) was applied for the first time on AD and controls to detect maximally independent networks of gray matter. Group comparison revealed a gray-matter source that showed differences in AD compared to controls. This network includes broad temporal regions involved in social cognition and high-level visual processing, but also motor and executive areas of the frontal lobe. Notably, we found that gray matter differences, as reflected by SBM, significantly correlated with social and behavioral deficits displayed by AD individuals and encoded via the Autism Diagnostic Observation Schedule scores. These findings provide support for current hypotheses about the neural basis of atypical social and mental states information processing in autism.
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