| Biography | |
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 Prof. V. Yegnanarayanan RNB Global University, India |
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| Title: Understanding Alzheimer’s disease through Graph Theory | |
| Abstract: Graphs are excellent tools for biomedical research to spell out the associations among biological entities like diseases, drugs, proteins, genes, ligands, small molecules, metabolites etc. They capture both the functions and molecular interactions from or within cells to a complete organ. These are networks pointing to: Sequence Similarity; Gene Regulation; Signal Transduction; Metabolic; Gene Co-expression; Disease etc. ‘Cholinergic hypothesis’ of Alzheimer’s disease was propounded in the late 1970’s. This disease revealed the chromosome of 21st type and provides us a path to the comprehension of Alzheimer’s disease pathology. The functional and structural organization is altered in human brain network due to Alzheimer’s disease. Graph Theory techniques and its structural parameters like connectivity, diameter, vertex centrality, betweenness centrality, clustering coefficient, degree distribution, cluster analysis and graph cores are involved to analyse magnetoencephalography data to explore functional network integrity in Alzheimer’s disease affected patients. We also notice that graph theory driven measures such as characteristic path length and clustering coefficient could be used to study and report a sudden electroencephalography effect in Alzheimer’s disease through entropy of the cross-sample. | |
