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research
On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance-weighted principal component analysis.
Authors
Simon Baron-Cohen
Edward T Bullmore
+11 more
Sean CL Deoni
Christine Ecker
Juan Manuel Górriz
Meng-Chuan Lai
Michael V Lombardo
Francisco Jesús Martinez-Murcia
MRC AIMS Consortium,
Declan GM Murphy
Javier Ramírez
John Suckling
Adam MH Young
Publication date
24 October 2016
Publisher
Hum Brain Mapp
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Abstract
Neuroimaging studies have reported structural and physiological differences that could help understand the causes and development of Autism Spectrum Disorder (ASD). Many of them rely on multisite designs, with the recruitment of larger samples increasing statistical power. However, recent large-scale studies have put some findings into question, considering the results to be strongly dependent on the database used, and demonstrating the substantial heterogeneity within this clinically defined category. One major source of variance may be the acquisition of the data in multiple centres. In this work we analysed the differences found in the multisite, multi-modal neuroimaging database from the UK Medical Research Council Autism Imaging Multicentre Study (MRC AIMS) in terms of both diagnosis and acquisition sites. Since the dissimilarities between sites were higher than between diagnostic groups, we developed a technique called Significance Weighted Principal Component Analysis (SWPCA) to reduce the undesired intensity variance due to acquisition site and to increase the statistical power in detecting group differences. After eliminating site-related variance, statistically significant group differences were found, including Broca's area and the temporo-parietal junction. However, discriminative power was not sufficient to classify diagnostic groups, yielding accuracies results close to random. Our work supports recent claims that ASD is a highly heterogeneous condition that is difficult to globally characterize by neuroimaging, and therefore different (and more homogenous) subgroups should be defined to obtain a deeper understanding of ASD. Hum Brain Mapp 38:1208-1223, 2017. © 2016 Wiley Periodicals, Inc.Contract grant sponsor: UK Medical Research Council AIMS network; Contract grant number: G0400061; Contract grant sponsors: “Vicerrectorado de Relaciones Internacionales de la Universidad de Granada” and CEI BioTic Granada; Contract grant: “Convocatoria de Movilidad Internacional de Estudiantes de Doctorado Curso 2013/2014”; Contract grant sponsor: MINECO/ FEDER; Contract grant numbers: TEC2012-34306 and TEC2015- 64718-R; Contract grant sponsor: Consejeria de Economia, Innovacion, Ciencia y Empleo (Junta de Andalucia, Spain); Contract grant numbers: P09-TIC-4530 and P11-TIC-710
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UCL Discovery
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oai:eprints.ucl.ac.uk.OAI2:100...
Last time updated on 03/11/2017
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Apollo (Cambridge)
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oai:www.repository.cam.ac.uk:1...
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info:doi/10.1002%2Fhbm.23449
Last time updated on 10/12/2019