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

Overview of attention for article published in PLOS ONE, August 2010
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Title
Autistic Disorders and Schizophrenia: Related or Remote? An Anatomical Likelihood Estimation
Published in
PLOS ONE, August 2010
DOI 10.1371/journal.pone.0012233
Pubmed ID
Authors

Charlton Cheung, Kevin Yu, Germaine Fung, Meikei Leung, Clive Wong, Qi Li, Pak Sham, Siew Chua, Gráinne McAlonan

Abstract

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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The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Turkey 1 <1%
France 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 242 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 18%
Researcher 38 15%
Student > Master 27 11%
Student > Bachelor 26 10%
Other 21 8%
Other 55 22%
Unknown 38 15%
Readers by discipline Count As %
Psychology 77 31%
Medicine and Dentistry 41 16%
Neuroscience 33 13%
Agricultural and Biological Sciences 29 12%
Biochemistry, Genetics and Molecular Biology 5 2%
Other 19 8%
Unknown 47 19%