Topological cluster statistic (TCS): Toward structural connectivity-guided fMRI cluster enhancement.

ABSTRACT: Functional magnetic resonance imaging (fMRI) studies most commonly use cluster-based inference to detect local changes in brain activity. Insufficient statistical power and disproportionate false-positive rates reportedly hinder optimal inference. We propose a structural connectivity-guided clustering framework, called topological cluster statistic (TCS), that enhances sensitivity by leveraging white matter anatomical connectivity information. TCS harnesses multimodal information from diffusion tractography and functional imaging to improve task fMRI activation inference. Compared to conventional approaches, TCS consistently improves power over a wide range of effects. This improvement results in a 10%-50% increase in local sensitivity with the greatest gains for medium-sized effects. TCS

SUBMITTER: Mansour L S 

PROVIDER: S-EPMC11424043 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature