TY  - INPR
A1  - Libedinsky, Ilan
A1  - Helwegen, Koen
A1  - Guerrero Simón, Laura
A1  - Gruber, Marius
A1  - Repple, Jonathan
A1  - Kircher, Tilo
A1  - Dannlowski, Udo
A1  - Heuvel, Martijn P. van den
T1  - Quantifying brain connectivity signatures by means of polyconnectomic scoring
T2  - bioRxiv
N2  - A broad range of neuropsychiatric disorders are associated with alterations in macroscale brain circuitry and connectivity. Identifying consistent brain patterns underlying these disorders by means of structural and functional MRI has proven challenging, partly due to the vast number of tests required to examine the entire brain, which can lead to an increase in missed findings. In this study, we propose polyconnectomic score (PCS) as a metric designed to quantify the presence of disease-related brain connectivity signatures in connectomes. PCS summarizes evidence of brain patterns related to a phenotype across the entire landscape of brain connectivity into a subject-level score. We evaluated PCS across four brain disorders (autism spectrum disorder, schizophrenia, attention deficit hyperactivity disorder, and Alzheimer’s disease) and 14 studies encompassing ∼35,000 individuals. Our findings consistently show that patients exhibit significantly higher PCS compared to controls, with effect sizes that go beyond other single MRI metrics ([min, max]: Cohen’s d = [0.30, 0.87], AUC = [0.58, 0.73]). We further demonstrate that PCS serves as a valuable tool for stratifying individuals, for example within the psychosis continuum, distinguishing patients with schizophrenia from their first-degree relatives (d = 0.42, p = 4 x 10−3, FDR-corrected), and first-degree relatives from healthy controls (d = 0.34, p = 0.034, FDR-corrected). We also show that PCS is useful to uncover associations between brain connectivity patterns related to neuropsychiatric disorders and mental health, psychosocial factors, and body measurements.
Y1  - 2023
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/79449
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-794492
UR  - https://www.biorxiv.org/content/10.1101/2023.09.26.559327v1
IS  - 2023.09.26.559327v1
PB  - bioRxiv
ER  -