Feature similarity, a sensitive method to capture the functional interaction of brain regions and networks to support flexible behavior.

ABSTRACT: The brain is a dynamic system where complex behaviours emerge from interactions across distributed regions. Accurately linking brain function to cognition requires methods sensitive to these interactions. We introduce Feature Similarity (FS), which integrates a broad set of interpretable time-series features-such as covariance, temporal dependencies, and entropy -to move beyond traditional single-metric approaches. FS captured functional brain organization: regions within the same network showed greater similarity than those in different networks, and FS identified the principal gradient from unimodal to transmodal cortices. Compared with Pearson correlation-based functional connectivity (FC) and 46 out of 49 statistical pairwise interaction metrics (SPIs), FS demonstrated greater sensitiv

SUBMITTER: Wang X 

PROVIDER: S-EPMC12708633 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature