Localizing and Assessing Node Significance in Default Mode Network using Sub-Community Detection in Mild Cognitive Impairment
arXiv Preprint Archive December 4, 2023 Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha
Using fMRI, a Node Significance Score (NSS) was developed to identify brain regions within the Default Mode Network (DMN) affected by Mild Cognitive Impairment (MCI). Subject-specific DMN graphs were built from partial correlations among regions of interest (ROIs). Four community detection algorithms identified the largest sub-community, and NSS ratings captured each node's frequency and occurrence in that sub-community across healthy and MCI subjects. Score disparities exceeding 20% were found for 10 DMN nodes, with the posterior cingulate cortex (PCC) and fusiform gyrus showing the largest disparities (45.69% and 43.08%). These quantitative measures align with prior literature and may guide targeted treatment strategies.