Connectome caricatures: removing large-amplitude co-activation patterns in resting-state fMRI emphasizes individual differences.

ABSTRACT: High-amplitude co-activation patterns are sparsely present during resting-state fMRI but drive functional connectivity^1-5. Further, they resemble task activation patterns and are well-studied^3,5-10. However, little research has characterized the remaining majority of the resting-state signal. In this work, we introduced caricaturing-a method to project resting-state data to a subspace orthogonal to a manifold of co-activation patterns estimated from the task fMRI data. Projecting to this subspace removes linear combinations of these co-activation patterns from the resting-state data to create Caricatured connectomes. We used rich task data from the Human Connectome Project (HCP)¹¹ and the UCLA Consortium for Neuropsychiatric Phenomics¹² to constr

SUBMITTER: Rodriguez RX 

PROVIDER: S-EPMC11030410 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature