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Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study
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 inv...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005369/ https://www.ncbi.nlm.nih.gov/pubmed/27630538 http://dx.doi.org/10.3389/fnins.2016.00388 |
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author | Grecucci, Alessandro Rubicondo, Danilo Siugzdaite, Roma Surian, Luca Job, Remo |
author_facet | Grecucci, Alessandro Rubicondo, Danilo Siugzdaite, Roma Surian, Luca Job, Remo |
author_sort | Grecucci, Alessandro |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5005369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50053692016-09-14 Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study Grecucci, Alessandro Rubicondo, Danilo Siugzdaite, Roma Surian, Luca Job, Remo Front Neurosci Neuroscience 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. Frontiers Media S.A. 2016-08-31 /pmc/articles/PMC5005369/ /pubmed/27630538 http://dx.doi.org/10.3389/fnins.2016.00388 Text en Copyright © 2016 Grecucci, Rubicondo, Siugzdaite, Surian and Job. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Grecucci, Alessandro Rubicondo, Danilo Siugzdaite, Roma Surian, Luca Job, Remo Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study |
title | Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study |
title_full | Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study |
title_fullStr | Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study |
title_full_unstemmed | Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study |
title_short | Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study |
title_sort | uncovering the social deficits in the autistic brain. a source-based morphometric study |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005369/ https://www.ncbi.nlm.nih.gov/pubmed/27630538 http://dx.doi.org/10.3389/fnins.2016.00388 |
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