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Dataset Information

Alteration in temporal-cerebellar effective connectivity can effectively distinguish stable and progressive mild cognitive impairment.


ABSTRACT:

Background

Stable mild cognitive impairment (sMCI) and progressive mild cognitive impairment (pMCI) represent two distinct subtypes of mild cognitive impairment (MCI). Early and effective diagnosis and accurate differentiation between sMCI and pMCI are crucial for administering targeted early intervention and preventing cognitive decline. This study investigated the intrinsic dysconnectivity patterns in sMCI and pMCI based on degree centrality (DC) and effective connectivity (EC) analyses, with the goal of uncovering shared and distinct neuroimaging mechanisms between subtypes.

Methods

Resting-state functional magnetic resonance imaging combined with DC analysis was used to explore the functional connectivity density in 42 patients with sMCI, 31 patients with pMCI, and 82 he

SUBMITTER: Xue C 

PROVIDER: S-EPMC11390694 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature