The aging trajectories of brain functional hierarchy and its impact on cognition across the adult lifespan.

ABSTRACT:

Introduction

The hierarchical network architecture of the human brain, pivotal to cognition and behavior, can be explored via gradient analysis using restingstate functional MRI data. Although it has been employed to understand brain development and disorders, the impact of aging on this hierarchical architecture and its link to cognitive decline remains elusive.

Methods

This study utilized resting-state functional MRI data from 350 healthy adults (aged 20-85) to investigate the functional hierarchical network using connectome gradient analysis with a cross-age sliding window approach. Gradient-related metrics were estimated and correlated with age to evaluate trajectory of gradient changes across lifespan.

Results

The principal gradient (unimodal-to-transmodal) demon

SUBMITTER: Wang X 

PROVIDER: S-EPMC10837851 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature