Abstract
In this work, we proposed Normalized Permutation Index (NPI) to analysis the functional connectivity of EEG from human brain with Alzheimer’s disease. NPI is modified method of permutation disalignment index based on permutation entropy, and can be used for the functional network analysis. The simulation analysis of NPI is first performed and the results show that NPI could effectively estimate the coupling strength with high sensitivity. Then NPI is applied to the synchronization and network analysis of AD brain. It can be observed that the functional connectivity in AD brain is weakened in most channel pairs, and the network properties are also altered with decreased global and local efficiency. These preliminary results demonstrate that NPI could be used to provide a new biomarker for AD pathology.
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Cai, L., Wang, J., Wang, R., Deng, B., Yu, H., & Wei, X. (2017). Functional Connectivity Analysis of EEG in AD Patients with Normalized Permutation Index. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10637 LNCS, pp. 563–571). Springer Verlag. https://doi.org/10.1007/978-3-319-70093-9_59
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