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Dataset Information

Conductance-Based Structural Brain Connectivity in Aging and Dementia.


ABSTRACT: Background: Structural brain connectivity has been shown to be sensitive to the changes that the brain undergoes during Alzheimer's disease (AD) progression. Methods: In this work, we used our recently proposed structural connectivity quantification measure derived from diffusion magnetic resonance imaging, which accounts for both direct and indirect pathways, to quantify brain connectivity in dementia. We analyzed data from the second phase of Alzheimer's Disease Neuroimaging Initiative and third release in the Open Access Series of Imaging Studies data sets to derive relevant information for the study of the changes that the brain undergoes in AD. We also compared these data sets to the Human Connectome Project data set, as a reference, and eventually validate

SUBMITTER: Frau-Pascual A 

PROVIDER: S-EPMC8558081 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature