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Towards a neuroanatomy of autism: A systematic review and meta-analysis of structural magnetic resonance imaging studies

Published online by Cambridge University Press:  16 April 2020

Andrew C. Stanfield ,
Andrew M. McIntosh ,
Michael D. Spencer ,
Ruth Philip ,
Sonia Gaur  and
Stephen M. Lawrie
Andrew C. Stanfield*
Affiliation:
Division of Psychiatry, School of Molecular and Clinical Medicine, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
Andrew M. McIntosh
Affiliation:
Division of Psychiatry, School of Molecular and Clinical Medicine, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
Michael D. Spencer
Affiliation:
Division of Psychiatry, School of Molecular and Clinical Medicine, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
Ruth Philip
Affiliation:
Division of Psychiatry, School of Molecular and Clinical Medicine, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
Sonia Gaur
Affiliation:
2790 Skypark Drive, Suite 307, Torrance, CA90505, USA
Stephen M. Lawrie
Affiliation:
Division of Psychiatry, School of Molecular and Clinical Medicine, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
*
∗Corresponding author. Tel.: +44 (0)131 537 6265; fax: +44 (0)131 537 6291. E-mail address: andrew.stanfield@ed.ac.uk (A.C. Stanfield).
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Abstract

Background

Structural brain abnormalities have been described in autism but studies are often small and contradictory. We aimed to identify which brain regions can reliably be regarded as different in autism compared to healthy controls.

Method

A systematic search was conducted for magnetic resonance imaging studies of regional brain size in autism. Data were extracted and combined using random effects meta-analysis. The modifying effects of age and IQ were investigated using meta-regression.

Results

The total brain, cerebral hemispheres, cerebellum and caudate nucleus were increased in volume, whereas the corpus callosum area was reduced. There was evidence for a modifying effect of age and IQ on the cerebellar vermal lobules VI–VII and for age on the amygdala.

Conclusions

Autism may result from abnormalities in specific brain regions and a global lack of integration due to brain enlargement. Inconsistencies in the literature partly relate to differences in the age and IQ of study populations. Some regions may show abnormal growth trajectories.

Keywords

AutismMRIMeta-analysis

Information

Type
Review
Information
European Psychiatry , Volume 23 , Issue 4 , June 2008 , pp. 289 - 299
Copyright
Copyright © European Psychiatric Association 2008

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