Dynamical Nonstationarity of EEGs in patients with AD/HD = 인식적 과제 수행시 주의력 결핍 행동 장애 환자의 뇌파의 동력학적 비선형성

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 320
  • Download : 0
In the specific application domains of psychiatry and cognitive neuroscience the need of new diagnostic tests are crucial, because there are too few and not always effective, especially in the Attention-Deficit/Hyperactivity Disorder, a major mental disorder occurring during childhood. AD/HD patients are particularly hard to characterize, even though they present specific activity pattern of the brain, they present many subtypes and comorbidity, making them comparable to many others pathologies such as anxiety or depression disorder. Based on the assumption that the brain is a deterministic nonlinear dynamical system, we engaged a dynamical analysis of its EEG recordings. Such analyses are becoming more and more common, and use the recent theory of Chaos and Nonlinear dynamical systems analysis. Our major Hypothesis being the characteristic instability of attention of the patients under investigations (AD/HD), we tried to quantify this attention deficit using the EEGs Time Series Recordings from the scalp by operating a Dynamical Quasi-stationary segmentation of the Time Series. Our assumption also includes the involvement of a specific cognitive function regulating attention, the so called Executive function, and then we expect a major activation of the frontal regions. In this report, we have developed a nonlinear method to extract quasi-stationary segment from a time series, and we apply this method to EEG time series. The quasi-stationary time segmentation is used as a new feature to quantify the time series, or from a neuro-scientific point of view, to quantify some cognitive states, represented by the EEG signal. We studied two populations, control subjects and AD/HD patients. We have found, indeed that there are significant differences between AD/HD patients and control subjects, especially in the frontal and the temporal regions. Thus we demonstrated that the dynamical nonstationarity analysis is able to quantify the attention in our problem, and...
Advisors
Lee, Kwang-Hyungresearcher이광형researcher
Description
한국과학기술원 : 바이오시스템학과,
Publisher
한국과학기술원
Issue Date
2006
Identifier
260001/325007  / 020044343
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오시스템학과, 2006.8, [ vi, 49 p. ]

Keywords

AD/HD; Dynamical Nonstationarity; Time Series; EEG; cognitive tasks; 인식적 과제; 주의력 결핍 행동 장애 환자; 동력학적 비선형성; Time Series; EEG

URI
http://hdl.handle.net/10203/27126
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=260001&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0