서지주요정보
Nonlinear analysis of chaotic dynamics underlying the electroencephalogram(EEG) in Alzheimer's disease = 비선형 분석법을 통한 알츠하이머 환자 뇌파의 카오스적 성질의 이해
서명 / 저자 Nonlinear analysis of chaotic dynamics underlying the electroencephalogram(EEG) in Alzheimer's disease = 비선형 분석법을 통한 알츠하이머 환자 뇌파의 카오스적 성질의 이해 / Jae-Seung Jeong.
저자명 Jeong, Jae-Seung ; 정재승
발행사항 [대전 : 한국과학기술원, 1996].
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등록번호

8006694

소장위치/청구기호

학술문화관(문화관) 보존서고

MPH 96030

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초록정보

We investigated chaotic dynamics underlying the electroencephalogram (EEG) in Alzheimer's disease by nonlinear methods in order to understand further the role of chaos in brain function. In the analysis we calculated the correlation dimensions $D_2$ and the largest Liapunov exponents $L_1$. A new method for calculating nonlinear invariant measures was introduced. The method determines an acceptable minimum embedding dimension by looking at the behaviour of nearest neighbors under changes in embedding dimension from d to d+1. We showed that it is strikingly faster and more accurate than other algorithms for limited noisy data. We found that patients with Alzheimer's disease have significantly lower $D_2$ and $L_1$ than age-approximated non-demented controls. It is inferred from it that brains injured by Alzheimer's disease have electrophysiological inactive elements (i. e. neurons and/or synapses) and thus show decreased chaotic behaviour. This results support the assumption that chaos plays an important role in brain function, for instance, memory and learning. And we suggest that brains can be described by deterministic models. In this paper we showed the nonlinear analysis can provide a promising tool for detecting relative changes in the complexity of brain dynamics, which cannot be detected by conventional linear analysis. And we propose the nonlinear analysis of the EEG in Alzheimer's disease for a new method for diagnosis of it as a clinical application.

서지기타정보

서지기타정보
청구기호 {MPH 96030
형태사항 iii, 69 p. : 삽도 ; 26 cm
언어 영어
일반주기 저자명의 한글표기 : 정재승
지도교수의 영문표기 : Soo-Yong Kim
지도교수의 한글표기 : 김수용
학위논문 학위논문(석사) - 한국과학기술원 : 물리학과,
서지주기 Reference : p. 52-64
주제 Chaos
Alzheimer's Disease
EEG
카오스
알츠하이머 병
뇌파
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