The process of community detection in a network uncovers groups of closely connected nodes, known as communities. In the context of gene correlation networks and neuro-degenerative diseases, this study introduces a systematic pipeline for centrality-based community detection using scRNA-Seq data. Comparisons with existing methods demonstrate its superior performance in terms of modularity. Furthermore, the resulting communities undergo biological validation and hub-gene analysis, which reveal disease-specific pathways and gene ontology associated with the genes within these communities.