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Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation

Shared genetic and environmental risk factors have been identified for autistic spectrum disorders (ASD) and schizophrenia. Social interaction, communication, emotion processing, sensorimotor gating and executive function are disrupted in both, stimulating debate about whether these are related cond...

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Detalles Bibliográficos
Autores principales: Cheung, Charlton, Yu, Kevin, Fung, Germaine, Leung, Meikei, Wong, Clive, Li, Qi, Sham, Pak, Chua, Siew, McAlonan, Gráinne
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2923607/
https://www.ncbi.nlm.nih.gov/pubmed/20805880
http://dx.doi.org/10.1371/journal.pone.0012233
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author Cheung, Charlton
Yu, Kevin
Fung, Germaine
Leung, Meikei
Wong, Clive
Li, Qi
Sham, Pak
Chua, Siew
McAlonan, Gráinne
author_facet Cheung, Charlton
Yu, Kevin
Fung, Germaine
Leung, Meikei
Wong, Clive
Li, Qi
Sham, Pak
Chua, Siew
McAlonan, Gráinne
author_sort Cheung, Charlton
collection PubMed
description Shared genetic and environmental risk factors have been identified for autistic spectrum disorders (ASD) and schizophrenia. Social interaction, communication, emotion processing, sensorimotor gating and executive function are disrupted in both, stimulating debate about whether these are related conditions. Brain imaging studies constitute an informative and expanding resource to determine whether brain structural phenotype of these disorders is distinct or overlapping. We aimed to synthesize existing datasets characterizing ASD and schizophrenia within a common framework, to quantify their structural similarities. In a novel modification of Anatomical Likelihood Estimation (ALE), 313 foci were extracted from 25 voxel-based studies comprising 660 participants (308 ASD, 352 first-episode schizophrenia) and 801 controls. The results revealed that, compared to controls, lower grey matter volumes within limbic-striato-thalamic circuitry were common to ASD and schizophrenia. Unique features of each disorder included lower grey matter volume in amygdala, caudate, frontal and medial gyrus for schizophrenia and putamen for autism. Thus, in terms of brain volumetrics, ASD and schizophrenia have a clear degree of overlap that may reflect shared etiological mechanisms. However, the distinctive neuroanatomy also mapped in each condition raises the question about how this is arrived in the context of common etiological pressures.
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spelling pubmed-29236072010-08-30 Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation Cheung, Charlton Yu, Kevin Fung, Germaine Leung, Meikei Wong, Clive Li, Qi Sham, Pak Chua, Siew McAlonan, Gráinne PLoS One Research Article Shared genetic and environmental risk factors have been identified for autistic spectrum disorders (ASD) and schizophrenia. Social interaction, communication, emotion processing, sensorimotor gating and executive function are disrupted in both, stimulating debate about whether these are related conditions. Brain imaging studies constitute an informative and expanding resource to determine whether brain structural phenotype of these disorders is distinct or overlapping. We aimed to synthesize existing datasets characterizing ASD and schizophrenia within a common framework, to quantify their structural similarities. In a novel modification of Anatomical Likelihood Estimation (ALE), 313 foci were extracted from 25 voxel-based studies comprising 660 participants (308 ASD, 352 first-episode schizophrenia) and 801 controls. The results revealed that, compared to controls, lower grey matter volumes within limbic-striato-thalamic circuitry were common to ASD and schizophrenia. Unique features of each disorder included lower grey matter volume in amygdala, caudate, frontal and medial gyrus for schizophrenia and putamen for autism. Thus, in terms of brain volumetrics, ASD and schizophrenia have a clear degree of overlap that may reflect shared etiological mechanisms. However, the distinctive neuroanatomy also mapped in each condition raises the question about how this is arrived in the context of common etiological pressures. Public Library of Science 2010-08-18 /pmc/articles/PMC2923607/ /pubmed/20805880 http://dx.doi.org/10.1371/journal.pone.0012233 Text en Cheung et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Cheung, Charlton
Yu, Kevin
Fung, Germaine
Leung, Meikei
Wong, Clive
Li, Qi
Sham, Pak
Chua, Siew
McAlonan, Gráinne
Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation
title Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation
title_full Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation
title_fullStr Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation
title_full_unstemmed Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation
title_short Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation
title_sort autistic disorders and schizophrenia: related or remote? an anatomical likelihood estimation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2923607/
https://www.ncbi.nlm.nih.gov/pubmed/20805880
http://dx.doi.org/10.1371/journal.pone.0012233
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