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Titolo:
Detection of non-linearity in the EEG of schizophrenic patients
Autore:
Lee, YJ; Zhu, YS; Xu, YH; Shen, MF; Zhang, HX; Thakor, NV;
Indirizzi:
Shanghai Jiao Tong Univ, Dept Biomed Engn, Shanghai 200030, Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China 200030 Peoples R China Shantou Univ, Sci Res Dept, Shantou 515063, Guangdong, Peoples R China Shantou Univ Shantou Guangdong Peoples R China 515063 ng, Peoples R China Johns Hopkins Sch Med, Dept Biomed Engn, Baltimore, MD 21205 USA Johns Hopkins Sch Med Baltimore MD USA 21205 ngn, Baltimore, MD 21205 USA
Titolo Testata:
CLINICAL NEUROPHYSIOLOGY
fascicolo: 7, volume: 112, anno: 2001,
pagine: 1288 - 1294
SICI:
1388-2457(200107)112:7<1288:DONITE>2.0.ZU;2-U
Fonte:
ISI
Lingua:
ENG
Soggetto:
OPTIMAL EMBEDDING DIMENSION; NONLINEAR-ANALYSIS; SURROGATE-DATA; BRAIN; COMPLEXITY; CHAOS; ELECTROENCEPHALOGRAM; EXPONENT; DISEASE; SIGNALS;
Keywords:
EEG; surrogate data; non-linearity; schizophrenia; embedding methods; dimension complexity;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
35
Recensione:
Indirizzi per estratti:
Indirizzo: Lee, YJ Shanghai Jiao Tong Univ, Dept Biomed Engn, Shanghai 200030, Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China 200030 R China
Citazione:
Y.J. Lee et al., "Detection of non-linearity in the EEG of schizophrenic patients", CLIN NEU, 112(7), 2001, pp. 1288-1294

Abstract

Objective: The aim of this study is to detect non-linearity in the EEG of schizophrenia with a modified method of surrogate data. We also want to identify if dimension complexity (correlation dimension using spatial embedding) could be used as a discriminating statistic to demonstrate non-linearityin the EEG. The difference between the attractor dimension of healthy subjects and schizophrenic subjects is expected to be interpreted as reflectingsome mechanisms underlying brain wave by views of non-linear dynamics analysis may reflect mechanistic differences. Methods: EEGs were recorded with 14 electrodes in 18 healthy male subjects(average age: 26.3; range: 20-35) and 18 male schizophrenic patients (average age: 30.6; range: 24-40) during a resting eye-closed state. Neither of two groups was taking medicines. All artificial epochs in the EEG records were rejected by an experienced doctor's visual inspection. Results: Testing non-linearity with modified surrogate data, we showed that correlation dimension of EEG data of schizophrenia does refuse the null hypothesis that the data were resulted from a linear dynamic system, a decrease of dimension complexity was found in the EEG of schizophrenia compared with controls. We interpreted it as the result of the psychopath's dysfunction overall brain. The surrogating procedure results in a significant increase in D,. Conclusions: Non-linearity of the EEG in schizophrenia was proven in our study. We think the correlation dimension with spatial embedding as a good discriminating statistic for testing such non-linearity. Moreover, schizophrenic patients' EEGs were compared with controls and a lower dimension complexity was found. The results of our study indicate the possibility of usingthe methods of non-linear time series analysis to identify the EEGs of schizophrenic patients. (C) 2001 Elsevier Science Ireland Ltd. All rights reserved.

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Documento generato il 19/01/20 alle ore 09:21:58