King's College London

Research portal

On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance-weighted principal component analysis

Research output: Contribution to journalArticle

Standard

On the brain structure heterogeneity of autism : Parsing out acquisition site effects with significance-weighted principal component analysis. / Martinez-Murcia, Francisco Jesús; Lai, Meng Chuan; Górriz, Juan Manuel; Ramírez, Javier; Young, Adam M H; Deoni, Sean C L; Ecker, Christine; Lombardo, Michael V.; Baron-Cohen, Simon; Murphy, Declan G M; Bullmore, Edward T.; Suckling, John; Bailey, Anthony J.; Baron-Cohen, Simon; Bolton, Patrick F.; Bullmore, Edward T.; Carrington, Sarah; Catani, Marco; Chakrabarti, Bhismadev; Craig, Michael C.; Daly, Eileen M.; Deoni, Sean C L; Ecker, Christine; Happé, Francesca; Henty, Julian; Jezzard, Peter; Johnston, Patrick; Jones, Derek K.; Lai, Meng Chuan; Lombardo, Michael V.; Madden, Anya; Mullins, Diane; Murphy, Clodagh M.; Murphy, Declan G M; Pasco, Greg; Ruigrok, Amber N V; Sadek, Susan A.; Spain, Debbie; Stewart, Rose; Suckling, John; Wheelwright, Sally J.; Williams, Steven C.

In: Human Brain Mapping, Vol. 38, No. 3, 01.03.2017, p. 1208-1223.

Research output: Contribution to journalArticle

Harvard

Martinez-Murcia, FJ, Lai, MC, Górriz, JM, Ramírez, J, Young, AMH, Deoni, SCL, Ecker, C, Lombardo, MV, Baron-Cohen, S, Murphy, DGM, Bullmore, ET, Suckling, J, Bailey, AJ, Baron-Cohen, S, Bolton, PF, Bullmore, ET, Carrington, S, Catani, M, Chakrabarti, B, Craig, MC, Daly, EM, Deoni, SCL, Ecker, C, Happé, F, Henty, J, Jezzard, P, Johnston, P, Jones, DK, Lai, MC, Lombardo, MV, Madden, A, Mullins, D, Murphy, CM, Murphy, DGM, Pasco, G, Ruigrok, ANV, Sadek, SA, Spain, D, Stewart, R, Suckling, J, Wheelwright, SJ & Williams, SC 2017, 'On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance-weighted principal component analysis', Human Brain Mapping, vol. 38, no. 3, pp. 1208-1223. https://doi.org/10.1002/hbm.23449

APA

Martinez-Murcia, F. J., Lai, M. C., Górriz, J. M., Ramírez, J., Young, A. M. H., Deoni, S. C. L., ... Williams, S. C. (2017). On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance-weighted principal component analysis. Human Brain Mapping, 38(3), 1208-1223. https://doi.org/10.1002/hbm.23449

Vancouver

Martinez-Murcia FJ, Lai MC, Górriz JM, Ramírez J, Young AMH, Deoni SCL et al. On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance-weighted principal component analysis. Human Brain Mapping. 2017 Mar 1;38(3):1208-1223. https://doi.org/10.1002/hbm.23449

Author

Martinez-Murcia, Francisco Jesús ; Lai, Meng Chuan ; Górriz, Juan Manuel ; Ramírez, Javier ; Young, Adam M H ; Deoni, Sean C L ; Ecker, Christine ; Lombardo, Michael V. ; Baron-Cohen, Simon ; Murphy, Declan G M ; Bullmore, Edward T. ; Suckling, John ; Bailey, Anthony J. ; Baron-Cohen, Simon ; Bolton, Patrick F. ; Bullmore, Edward T. ; Carrington, Sarah ; Catani, Marco ; Chakrabarti, Bhismadev ; Craig, Michael C. ; Daly, Eileen M. ; Deoni, Sean C L ; Ecker, Christine ; Happé, Francesca ; Henty, Julian ; Jezzard, Peter ; Johnston, Patrick ; Jones, Derek K. ; Lai, Meng Chuan ; Lombardo, Michael V. ; Madden, Anya ; Mullins, Diane ; Murphy, Clodagh M. ; Murphy, Declan G M ; Pasco, Greg ; Ruigrok, Amber N V ; Sadek, Susan A. ; Spain, Debbie ; Stewart, Rose ; Suckling, John ; Wheelwright, Sally J. ; Williams, Steven C. / On the brain structure heterogeneity of autism : Parsing out acquisition site effects with significance-weighted principal component analysis. In: Human Brain Mapping. 2017 ; Vol. 38, No. 3. pp. 1208-1223.

Bibtex Download

@article{58d9d3fc5c2b4499be89a55c8520f0d9,
title = "On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance-weighted principal component analysis",
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.",
keywords = "autism spectrum disorder, structural heterogeneity, structural magnetic resonance imaging, voxel based morphometry",
author = "Martinez-Murcia, {Francisco Jes{\'u}s} and Lai, {Meng Chuan} and G{\'o}rriz, {Juan Manuel} and Javier Ram{\'i}rez and Young, {Adam M H} and Deoni, {Sean C L} and Christine Ecker and Lombardo, {Michael V.} and Simon Baron-Cohen and Murphy, {Declan G M} and Bullmore, {Edward T.} and John Suckling and Bailey, {Anthony J.} and Simon Baron-Cohen and Bolton, {Patrick F.} and Bullmore, {Edward T.} and Sarah Carrington and Marco Catani and Bhismadev Chakrabarti and Craig, {Michael C.} and Daly, {Eileen M.} and Deoni, {Sean C L} and Christine Ecker and Francesca Happ{\'e} and Julian Henty and Peter Jezzard and Patrick Johnston and Jones, {Derek K.} and Lai, {Meng Chuan} and Lombardo, {Michael V.} and Anya Madden and Diane Mullins and Murphy, {Clodagh M.} and Murphy, {Declan G M} and Greg Pasco and Ruigrok, {Amber N V} and Sadek, {Susan A.} and Debbie Spain and Rose Stewart and John Suckling and Wheelwright, {Sally J.} and Williams, {Steven C.}",
year = "2017",
month = "3",
day = "1",
doi = "10.1002/hbm.23449",
language = "English",
volume = "38",
pages = "1208--1223",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",
number = "3",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - On the brain structure heterogeneity of autism

T2 - Human Brain Mapping

AU - Martinez-Murcia, Francisco Jesús

AU - Lai, Meng Chuan

AU - Górriz, Juan Manuel

AU - Ramírez, Javier

AU - Young, Adam M H

AU - Deoni, Sean C L

AU - Ecker, Christine

AU - Lombardo, Michael V.

AU - Baron-Cohen, Simon

AU - Murphy, Declan G M

AU - Bullmore, Edward T.

AU - Suckling, John

AU - Bailey, Anthony J.

AU - Baron-Cohen, Simon

AU - Bolton, Patrick F.

AU - Bullmore, Edward T.

AU - Carrington, Sarah

AU - Catani, Marco

AU - Chakrabarti, Bhismadev

AU - Craig, Michael C.

AU - Daly, Eileen M.

AU - Deoni, Sean C L

AU - Ecker, Christine

AU - Happé, Francesca

AU - Henty, Julian

AU - Jezzard, Peter

AU - Johnston, Patrick

AU - Jones, Derek K.

AU - Lai, Meng Chuan

AU - Lombardo, Michael V.

AU - Madden, Anya

AU - Mullins, Diane

AU - Murphy, Clodagh M.

AU - Murphy, Declan G M

AU - Pasco, Greg

AU - Ruigrok, Amber N V

AU - Sadek, Susan A.

AU - Spain, Debbie

AU - Stewart, Rose

AU - Suckling, John

AU - Wheelwright, Sally J.

AU - Williams, Steven C.

PY - 2017/3/1

Y1 - 2017/3/1

N2 - 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.

AB - 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.

KW - autism spectrum disorder

KW - structural heterogeneity

KW - structural magnetic resonance imaging

KW - voxel based morphometry

UR - http://www.scopus.com/inward/record.url?scp=84996508212&partnerID=8YFLogxK

U2 - 10.1002/hbm.23449

DO - 10.1002/hbm.23449

M3 - Article

VL - 38

SP - 1208

EP - 1223

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 3

ER -

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454