Multiscale heterogeneity of white matter morphometry in psychiatric disorders.

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.

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, bip

SUBMITTER: Segal A 

PROVIDER: S-EPMC11326206 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature