Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping.

ABSTRACT: The analysis of connectivity between parcellated regions of cortex provides insights into the functional architecture of the brain at a systems level. However, the derivation of functional structures from voxel-wise analyses at finer scales remains a challenge. We propose a novel method, called localized topo-connectivity mapping with singular-value-decomposition-informed filtering (or filtered LTM), to identify and characterize voxel-wise functional structures in the human brain from resting-state fMRI data. Here we describe its mathematical formulation and provide a proof-of-concept using simulated data that allow an intuitive interpretation of the results of filtered LTM. The algorithm has also been applied to 7T fMRI data acquired as part of the Human Connectome Project to generate gro

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC9844109 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature