Keywords: Alzheimer's Disease, fMRI (resting state), Parcellation, Network Modelling
The search for rsfMRI-based network biomarkers in Alzheimer's disease has yielded inconsistent results. These models are derived from standard anatomical and functional parcellations that may bias downstream analyses. We present a network model of Alzheimer's disease based on cohesive parcellation and compare it to traditional measures of network topology.
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