학술논문
Linking functional and structural brain organisation with behaviour in autism: a multimodal EU-AIMS Longitudinal European Autism Project (LEAP) study
Document Type
article
Author
Lennart M. Oblong; Alberto Llera; Ting Mei; Koen Haak; Christina Isakoglou; Dorothea L. Floris; Sarah Durston; Carolin Moessnang; Tobias Banaschewski; Simon Baron-Cohen; Eva Loth; Flavio Dell’Acqua; Tony Charman; Declan G. M. Murphy; Christine Ecker; Jan K. Buitelaar; Christian F. Beckmann; The EU-AIMS LEAP Group; Natalie J. Forde
Source
Molecular Autism, Vol 14, Iss 1, Pp 1-13 (2023)
Subject
Language
English
ISSN
2040-2392
Abstract
Abstract Neuroimaging analyses of brain structure and function in autism have typically been conducted in isolation, missing the sensitivity gains of linking data across modalities. Here we focus on the integration of structural and functional organisational properties of brain regions. We aim to identify novel brain-organisation phenotypes of autism. We utilised multimodal MRI (T1-, diffusion-weighted and resting state functional), behavioural and clinical data from the EU AIMS Longitudinal European Autism Project (LEAP) from autistic (n = 206) and non-autistic (n = 196) participants. Of these, 97 had data from 2 timepoints resulting in a total scan number of 466. Grey matter density maps, probabilistic tractography connectivity matrices and connectopic maps were extracted from respective MRI modalities and were then integrated with Linked Independent Component Analysis. Linear mixed-effects models were used to evaluate the relationship between components and group while accounting for covariates and non-independence of participants with longitudinal data. Additional models were run to investigate associations with dimensional measures of behaviour. We identified one component that differed significantly between groups (coefficient = 0.33, p adj = 0.02). This was driven (99%) by variance of the right fusiform gyrus connectopic map 2. While there were multiple nominal (uncorrected p