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Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor
2020
Entropy
Alzheimer's disease has been extensively studied using undirected graphs to represent the correlations of BOLD signals in different anatomical regions through functional magnetic resonance imaging (fMRI). However, there has been relatively little analysis of this kind of data using directed graphs, which potentially offer the potential to capture asymmetries in the interactions between different anatomical brain regions. The detection of these asymmetries is relevant to detect the disease in an
doi:10.3390/e22040465
pmid:33286239
pmcid:PMC7516949
fatcat:sscv7nxvf5ex5mitbmegi4s7gy