Exploratory correlation of the human structural connectome with non-MRI variables in Alzheimer's disease.

ABSTRACT:

Introduction

Discovery of the associations between brain structural connectivity and clinical and demographic variables can help to better understand the vulnerability and resilience of the brain architecture to neurodegenerative diseases and to discover biomarkers.

Methods

We used four diffusion-MRI databases, three related to Alzheimer's disease (AD), to exploratorily correlate structural connections between 85 brain regions with non-MRI variables, while stringently correcting the significance values for multiple testing and ruling out spurious correlations via careful visual inspection. We repeated the analysis with brain connectivity augmented with multi-synaptic neural pathways.

Results

We found 85 and 101 significant relationships with direct and augmented conne

SUBMITTER: Aganj I 

PROVIDER: S-EPMC10725839 | biostudies-literature | 2023 Oct-Dec

REPOSITORIES: biostudies-literature