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Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study

Alessandro Grecucci, Danilo Rubicondo, Roma Siugzdaite UGent, Luca Surian and Remo Job (2016) FRONTIERS IN NEUROSCIENCE. 10.
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
autism, Source based morphometry, ABIDE
journal title
FRONTIERS IN NEUROSCIENCE
volume
10
article number
388
publisher
Frontiers Media SA
Web of Science type
Article
JCR category
NEUROSCIENCES
JCR impact factor
3.566 (2016)
JCR rank
83/258 (2016)
JCR quartile
2 (2016)
ISSN
1662-453X
DOI
10.3389/fnins.2016.00388
language
English
UGent publication?
yes
classification
A1
copyright statement
I don't know the status of the copyright for this publication
id
8516725
handle
http://hdl.handle.net/1854/LU-8516725
date created
2017-04-03 10:05:29
date last changed
2017-04-26 13:28:32
@article{8516725,
  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.},
  articleno    = {388},
  author       = {Grecucci, Alessandro and Rubicondo, Danilo and Siugzdaite, Roma and Surian, Luca and Job, Remo},
  issn         = {1662-453X},
  journal      = {FRONTIERS IN NEUROSCIENCE},
  keyword      = {autism,Source based morphometry,ABIDE},
  language     = {eng},
  publisher    = {Frontiers Media SA},
  title        = {Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study},
  url          = {http://dx.doi.org/10.3389/fnins.2016.00388},
  volume       = {10},
  year         = {2016},
}

Chicago
Grecucci, Alessandro, Danilo Rubicondo, Roma Siugzdaite, Luca Surian, and Remo Job. 2016. “Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study.” Frontiers in Neuroscience 10.
APA
Grecucci, A., Rubicondo, D., Siugzdaite, R., Surian, L., & Job, R. (2016). Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study. FRONTIERS IN NEUROSCIENCE, 10.
Vancouver
1.
Grecucci A, Rubicondo D, Siugzdaite R, Surian L, Job R. Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study. FRONTIERS IN NEUROSCIENCE. Frontiers Media SA; 2016;10.
MLA
Grecucci, Alessandro, Danilo Rubicondo, Roma Siugzdaite, et al. “Uncovering the Social Deficits in the Autistic Brain. A Source-Based Morphometric Study.” FRONTIERS IN NEUROSCIENCE 10 (2016): n. pag. Print.