Multivariate patterns linking brain microstructure to temperament and behavior in adolescent eating disorders DOI Creative Commons
Carolina Makowski, Golia Shafiei,

Maria Inês Martinho

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

ABSTRACT Eating disorders (EDs) are multifaceted psychiatric characterized by varying behaviors, traits, and cognitive profiles thought to drive symptom heterogeneity severity. Non-invasive neuroimaging methods have been critical elucidate the neurobiological circuitry involved in ED-related but often focused on a limited set of regions interest and/or symptoms. The current study harnesses multivariate map microstructural morphometric patterns across entire brain multiple domains behavior symptomatology patients. Diffusion-weighted images, modeled with restriction spectrum imaging, were analyzed for 91 adolescent patients an ED 48 healthy controls. Partial least squares analysis was applied 38 behavioral measures (encompassing cognition, temperament, symptoms) restricted diffusion white matter tracts subcortical structures 65 interest. first significant latent variable explained 46.9% covariance between microstructure behavior. This retained brain-behavior correlation held-out data, where ‘undercontrolled’ profile (e.g., higher emotional dysregulation, novelty seeking; lower effortful control interoceptive awareness) linked increased tracts, particularly those joining frontal, limbic, thalamic regions. Individually-derived scores this binge-purge symptoms, compared only restrictive eating Findings demonstrate value applying modeling array relationships inherent clinical presentation EDs, their relevance providing neurobiologically-informed model future subtyping prediction efforts.

Language: Английский

Multiscale Heterogeneity of Functional Connectivity in Autism DOI Creative Commons
Iva Ilioska, Marianne Oldehinkel, Alberto Llera

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 22, 2024

ABSTRACT Atypical functional connectivity (FC) in autism is a common finding, but the results of individual studies are often inconsistent and sometimes contradictory. Classical reliance on case-control comparisons group means that ignore inter-individual heterogeneity may be key drive this inconsistency. Here, we used normative modelling to examine FC at level pair-wise inter-regional connections, specific brain regions, broader networks 1,824 participants (796 autistic) aged 5-58 years recruited across 32 different sites. Connection-level was high both groups, with no single connection deviating more than 4% participants. However, deviant connections tended converge regions autistic individuals controls. Autistic showed significantly greater overlap for positive deviations (i.e., atypically increased FC) transmodal systems negative (atypically decreased sensory-motor areas. deviation patterns coarser levels correlated social functioning symptoms intellectual ability. This work suggests clinical variability associated extreme whereas commonalities driven by convergence atypical increases decreases sensorimotor networks, pointing an imbalance organization brain’s sensorimotor-association axis.

Language: Английский

Citations

0
Multivariate patterns linking brain microstructure to temperament and behavior in adolescent eating disorders DOI Creative Commons
Carolina Makowski, Golia Shafiei,

Maria Inês Martinho

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

ABSTRACT Eating disorders (EDs) are multifaceted psychiatric characterized by varying behaviors, traits, and cognitive profiles thought to drive symptom heterogeneity severity. Non-invasive neuroimaging methods have been critical elucidate the neurobiological circuitry involved in ED-related but often focused on a limited set of regions interest and/or symptoms. The current study harnesses multivariate map microstructural morphometric patterns across entire brain multiple domains behavior symptomatology patients. Diffusion-weighted images, modeled with restriction spectrum imaging, were analyzed for 91 adolescent patients an ED 48 healthy controls. Partial least squares analysis was applied 38 behavioral measures (encompassing cognition, temperament, symptoms) restricted diffusion white matter tracts subcortical structures 65 interest. first significant latent variable explained 46.9% covariance between microstructure behavior. This retained brain-behavior correlation held-out data, where ‘undercontrolled’ profile (e.g., higher emotional dysregulation, novelty seeking; lower effortful control interoceptive awareness) linked increased tracts, particularly those joining frontal, limbic, thalamic regions. Individually-derived scores this binge-purge symptoms, compared only restrictive eating Findings demonstrate value applying modeling array relationships inherent clinical presentation EDs, their relevance providing neurobiologically-informed model future subtyping prediction efforts.

Language: Английский

Citations

0