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Multiscale heterogeneity of white matter morphometry in psychiatric disorders.

Authors :
Segal A
Smith RE
Chopra S
Oldham S
Parkes L
Aquino K
Kia SM
Wolfers T
Franke B
Hoogman M
Beckmann CF
Westlye LT
Andreassen OA
Zalesky A
Harrison BJ
Davey CG
Soriano-Mas C
Cardoner N
Tiego J
Yücel M
Braganza L
Suo C
Berk M
Cotton S
Bellgrove MA
Marquand AF
Fornito A
Source :
BioRxiv : the preprint server for biology [bioRxiv] 2024 Aug 06. Date of Electronic Publication: 2024 Aug 06.
Publication Year :
2024

Abstract

Background: Inter-individual variability in neurobiological and clinical characteristics in mental illness is often overlooked by classical group-mean case-control studies. Studies using normative modelling to infer person-specific deviations of grey matter volume have indicated that group means are not representative of most individuals. The extent to which this variability is present in white matter morphometry, which is integral to brain function, remains unclear.<br />Methods: We applied Warped Bayesian Linear Regression normative models to T1-weighted magnetic resonance imaging data and mapped inter-individual variability in person-specific white matter volume deviations in 1,294 cases (58% male) diagnosed with one of six disorders (attention-deficit/hyperactivity, autism, bipolar, major depressive, obsessive-compulsive and schizophrenia) and 1,465 matched controls (54% male) recruited across 25 scan sites. We developed a framework to characterize deviation heterogeneity at multiple spatial scales, from individual voxels, through inter-regional connections, specific brain regions, and spatially extended brain networks.<br />Results: The specific locations of white matter volume deviations were highly heterogeneous across participants, affecting the same voxel in fewer than 8% of individuals with the same diagnosis. For autism and schizophrenia, negative deviations (i.e., areas where volume is lower than normative expectations) aggregated into common tracts, regions and large-scale networks in up to 35% of individuals.<br />Conclusions: The prevalence of white matter volume deviations was lower than previously observed in grey matter, and the specific location of these deviations was highly heterogeneous when considering voxel-wise spatial resolution. Evidence of aggregation within common pathways and networks was apparent in schizophrenia and autism but not other disorders.<br />Competing Interests: Disclosures This manuscript has been submitted on bioRxiv. KMA is a scientific advisor to and shareholder in BrainKey Inc., a medical image analysis software company. BF has received educational speaking fees from Medice GmbH. CFB is a director and shareholder of SBGNeuro Ltd. OAA is a consultant to Cortechs.ai and received speaker’s honorarium from Lundbeck, Janssen, Otsuka and Sunovion. NC participed in advisory boards and received speaker’s honoraria from Angelini, Esteve, Janssen, Lundbeck, Novartis, Pfizer, and Viatris. Furthermore, they have been awarded research grants from the Ministry of Health, Ministry of Science and Innovation (CIBERSAM), and the Strategic Plan for Research and Innovation in Health (PERIS) for the period 2016–2020, as well as from Recercaixa and Marato TV3. MY received philanthropic donations from the David Winston Turner Endowment Fund, Wilson Foundation. He has also received funding to conduct sponsored Investigator-Initiated trials (including Incannex Healthcare Ltd). These funding sources had no role in the design, management, data analysis, presentation, or interpretation and write-up of the data. MY also sits on the Advisory Boards of Centre of The Urban Mental Health, University of Amsterdam; and Enosis Therapeutics. MB has received Grant/Research Support from the NIH, Cooperative Research Centre, Simons Autism Foundation, Cancer Council of Victoria, Stanley Medical Research Foundation, Medical Benefits Fund, National Health and Medical Research Council, Medical Research Futures Fund, Beyond Blue, Rotary Health, A2 milk company, Meat and Livestock Board, Woolworths, Avant and the Harry Windsor Foundation, has been a speaker for Abbot, Astra Zeneca, Janssen and Janssen, Lundbeck and Merck and served as a consultant to Allergan, Astra Zeneca, Bioadvantex, Bionomics, Collaborative Medicinal Development, Eisai, Janssen and Janssen, Lundbeck Merck, Pfizer and Servier – all unrelated to this work. MB has received grant/research support from National Health and Medical Research Council, Wellcome Trust, Medical Research Future Fund, Victorian Medical Research Acceleration Fund, Centre for Research Excellence CRE, Victorian Government Department of Jobs, Precincts and Regions and Victorian COVID-19 Research Fund. He received honoraria from Springer, Oxford University Press, Cambridge University Press, Allen and Unwin, Lundbeck, Controversias Barcelona, Servier, Medisquire, HealthEd, ANZJP, EPA, Janssen, Medplan, Milken Institute, RANZCP, Abbott India, ASCP, Headspace and Sandoz. All other authors report no biomedical financial interests or potential conflicts of interest.

Details

Language :
English
ISSN :
2692-8205
Database :
MEDLINE
Journal :
BioRxiv : the preprint server for biology
Publication Type :
Academic Journal
Accession number :
39149253
Full Text :
https://doi.org/10.1101/2024.08.04.606523