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Voxel-based meta-analysis of regional white-matter volume differences in autism spectrum disorder versus healthy controls

Published online by Cambridge University Press:  16 November 2010

J. Radua ,
E. Via ,
M. Catani  and
D. Mataix-Cols
J. Radua*
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK Hospital Benito Menni Complex Assistencial en Salut Mental, CIBERSAM, Sant Boi de Llobregat, Spain
E. Via
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK Hospital Universitari de Bellvitge, IDIBELL, L'Hospitalet de Llobregat, Spain
M. Catani
Affiliation:
Natbrainlab, Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, King's College London, London, UK
D. Mataix-Cols
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
*
*Address for correspondence: J. Radua M.D., Department of Psychosis Studies, PO Box 69, Institute of Psychiatry, King's College London, London SE5 8AF, UK. (Email: Joaquim.Radua@iop.kcl.ac.uk)
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Abstract

Background

We conducted a meta-analysis of voxel-based morphometry (VBM) studies in autism spectrum disorder (ASD) to clarify the changes in regional white-matter volume underpinning this condition, and generated an online database to facilitate replication and further analyses by other researchers.

Method

PubMed, ScienceDirect, Web of Knowledge and Scopus databases were searched between 2002 (the date of the first white-matter VBM study in ASD) and 2010. Manual searches were also conducted. Authors were contacted to obtain additional data. Coordinates were extracted from clusters of significant white-matter difference between patients and controls. A new template for white matter was created for the signed differential mapping (SDM) meta-analytic method. A diffusion tensor imaging (DTI)-derived atlas was used to optimally localize the changes in white-matter volume.

Results

Thirteen datasets comprising 246 patients with ASD and 237 healthy controls met inclusion criteria. No between-group differences were found in global white-matter volumes. ASD patients showed increases of white-matter volume in the right arcuate fasciculus and also in the left inferior fronto-occipital and uncinate fasciculi. These findings remained unchanged in quartile and jackknife sensitivity analyses and also in subgroup analyses (pediatric versus adult samples).

Conclusions

Patients with ASD display increases of white-matter volume in tracts known to be important for language and social cognition. Whether the results apply to individuals with lower IQ or younger age and whether there are meaningful neurobiological differences between the subtypes of ASD remain to be investigated.

Keywords

Arcuate fasciculusAspergerautismmeta-analysisuncinate fasciculusvoxel-based morphometrywhite matter
Type
Original Articles
Information
Psychological Medicine , Volume 41 , Issue 7 , July 2011 , pp. 1539 - 1550
Copyright
Copyright © Cambridge University Press 2010

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