EEG based Functional Connectivity Analysis of Alzheimer's Disease Subjects

P. P. Vijayakumaran, D. Narzary, V. Gonuguntla, Ho Won Lee, Kalyana C. Veluvolu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In the past few years, the study on functional connectivity of the human brain has led to various innovations in neuroscience. Functional connectivity reveals the simultaneity between the electrode pairs while performing neurophysiological activities. In this paper, the functional connectivity networks of healthy subjects, mild cognitive impairment (MCI), Alzheimer's disease (AD), and dementia patients were analysed by measuring the irregularity of the signals through wavelet spectral entropy (WSE) and were quantified using network measures. Depending on the discordance between the networks of all the four conditions, significant electrode pairs and their reactive networks were identified. These networks demonstrate the importance of most reactive electrode pairs that show significant variations. The identified functional connectivity networks that respond to the different pathologies shows the progression of the disease in patients. Further, the quantification of networks with graph theory network measures highlight differences between various progressive stages of the AD and its potential for development of EEG network biomarker in future.

Original languageEnglish
Title of host publication2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages356-361
Number of pages6
ISBN (Electronic)9781728149851
DOIs
StatePublished - Feb 2020
Event2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 - Fukuoka, Japan
Duration: 19 Feb 202021 Feb 2020

Publication series

Name2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020

Conference

Conference2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
Country/TerritoryJapan
CityFukuoka
Period19/02/2021/02/20

Keywords

  • Alzheimer's disease (AD)
  • dementia
  • mild cognitive impairment
  • neural disorder
  • spectral entropy (SE)
  • wavelet transform

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