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Atypical Brain Asymmetry in Autism-A Candidate for Clinically Meaningful Stratification

Authors :
Dorothea L. Floris
Thomas Wolfers
Mariam Zabihi
Nathalie E. Holz
Marcel P. Zwiers
Tony Charman
Julian Tillmann
Christine Ecker
Flavio Dell’Acqua
Tobias Banaschewski
Carolin Moessnang
Simon Baron-Cohen
Rosemary Holt
Sarah Durston
Eva Loth
Declan G.M. Murphy
Andre Marquand
Jan K. Buitelaar
Christian F. Beckmann
Jumana Ahmad
Sara Ambrosino
Bonnie Auyeung
Sarah Baumeister
Sven Bölte
Thomas Bourgeron
Carsten Bours
Michael Brammer
Daniel Brandeis
Claudia Brogna
Yvette de Bruijn
Bhismadev Chakrabarti
Ineke Cornelissen
Daisy Crawley
Guillaume Dumas
Jessica Faulkner
Vincent Frouin
Pilar Garcés
David Goyard
Lindsay Ham
Hannah Hayward
Joerg Hipp
Mark H. Johnson
Emily J.H. Jones
Prantik Kundu
Meng-Chuan Lai
Xavier Liogier d’Ardhuy
Michael V. Lombardo
David J. Lythgoe
René Mandl
Luke Mason
Maarten Mennes
Andreas Meyer-Lindenberg
Nico Mueller
Bethany Oakley
Laurence O’Dwyer
Marianne Oldehinkel
Bob Oranje
Gahan Pandina
Antonio M. Persico
Barbara Ruggeri
Amber Ruigrok
Jessica Sabet
Roberto Sacco
Antonia San José Cáceres
Emily Simonoff
Will Spooren
Roberto Toro
Heike Tost
Jack Waldman
Steve C.R. Williams
Caroline Wooldridge
Source :
Biological Psychiatry : Cognitive Neuroscience and Neuroimaging, 6, 8, pp. 802-812, Biological Psychiatry : Cognitive Neuroscience and Neuroimaging, 6, 802-812, 2021, ' Atypical brain asymmetry in autism : A candidate for clinically meaningful stratification ', Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, vol. 6, no. 8, pp. 802-812 . https://doi.org/10.1016/j.bpsc.2020.08.008
Publication Year :
2020

Abstract

Background Autism spectrum disorder (“autism”) is a highly heterogeneous neurodevelopmental condition with few effective treatments for core and associated features. To make progress we need to both identify and validate neural markers that help to parse heterogeneity to tailor therapies to specific neurobiological profiles. Atypical hemispheric lateralization is a stable feature across studies in autism, but its potential as a neural stratification marker has not been widely examined. Methods In order to dissect heterogeneity in lateralization in autism, we used the large EU-AIMS (European Autism Interventions—A Multicentre Study for Developing New Medications) Longitudinal European Autism Project dataset comprising 352 individuals with autism and 233 neurotypical control subjects as well as a replication dataset from ABIDE (Autism Brain Imaging Data Exchange) (513 individuals with autism, 691 neurotypical subjects) using a promising approach that moves beyond mean group comparisons. We derived gray matter voxelwise laterality values for each subject and modeled individual deviations from the normative pattern of brain laterality across age using normative modeling. Results Individuals with autism had highly individualized patterns of both extreme right- and leftward deviations, particularly in language, motor, and visuospatial regions, associated with symptom severity. Language delay explained most variance in extreme rightward patterns, whereas core autism symptom severity explained most variance in extreme leftward patterns. Follow-up analyses showed that a stepwise pattern emerged, with individuals with autism with language delay showing more pronounced rightward deviations than individuals with autism without language delay. Conclusions Our analyses corroborate the need for novel (dimensional) approaches to delineate the heterogeneous neuroanatomy in autism and indicate that atypical lateralization may constitute a neurophenotype for clinically meaningful stratification in autism.

Details

ISSN :
24519030 and 24519022
Volume :
6
Issue :
8
Database :
OpenAIRE
Journal :
Biological psychiatry. Cognitive neuroscience and neuroimaging
Accession number :
edsair.doi.dedup.....fd1583cbd6ad6d704916e4844137b962