Bridging functional and anatomical neural connectivity through cluster synchronization.

ABSTRACT: The dynamics of the brain results from the complex interplay of several neural populations and is affected by both the individual dynamics of these areas and their connection structure. Hence, a fundamental challenge is to derive models of the brain that reproduce both structural and functional features measured experimentally. Our work combines neuroimaging data, such as dMRI, which provides information on the structure of the anatomical connectomes, and fMRI, which detects patterns of approximate synchronous activity between brain areas. We employ cluster synchronization as a tool to integrate the imaging data of a subject into a coherent model, which reconciles structural and dynamic information. By using data-driven and model-based approaches, we refine the structural connectivity matr

SUBMITTER: Baruzzi V 

PROVIDER: S-EPMC10725511 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature