A novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI: Application to an aging cohort.

ABSTRACT: Connectivity-based parcellation (CBP) methods are used to define homogenous and biologically meaningful parcels or nodes-the foundations of brain network fingerprinting-by grouping voxels with similar patterns of brain connectivity. However, we still lack a gold standard method and the use of CBPs to study the aging brain remains scarce. Our study proposes a novel CBP method from diffusion MRI data and shows its potential to produce a more accurate characterization of the longitudinal alterations in brain network topology occurring in aging. For this, we constructed whole-brain connectivity maps from diffusion MRI data of two datasets: an aging cohort evaluated at two timepoints (mean interval time: 52.8 ± 7.24 months) and a normative adult cohort-MGH-HCP. State-of-the-art clustering techn

SUBMITTER: Coelho A 

PROVIDER: S-EPMC9057102 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature