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Application Of EEG Nonlinear Analysis In Cognitive Function Research And Monitoring Of Depth Of Anesthesia

Posted on:2006-05-26Degree:DoctorType:Dissertation
Country:ChinaCandidate:D Y WuFull Text:PDF
GTID:1104360182993035Subject:Neurology
Abstract/Summary:PDF Full Text Request
Objective To investigate the changes of non-linear dynamics properties of EEG under different mental tasks, and the application of non-linear dynamic analysis for cognitive function research. Methods EEG was recorded in 30 healthy university students under four states: eyes closed, eyes open, mental arithmetic with eyes closed and graphic reasoning test with eyes open. Correlation dimension (D2) and point-wise correlation dimension (PD2) were calculated for all subjects. We also performed a surrogate data test in 5 randomized selected subjects. Results In all states tested, the results argued for the presence of non-linearity and fractal D2 and PD2. D2 and PD2 increased significantly during mental tasks as compared to the rest states (D2 of above four states was 3.93, 4.47, 4.33 and 4.98 respectively). The results showed that values of D2 and PD2 fluctuated with time, which suggests an intermittent activation of the brain areas participated in the task. With non-linear dynamic analysis, there might be a working circuit from bilateral temporal lobes to the left frontal lobe and parental lobe under mental arithmetic task. Conclusions Through dynamic analysis based on D2 and PD2 topographic maps, we can see clearly the distribution of D2 and PD2 in the brain, the sequence and the degree of activation of the regions involved in the cognitive task under mental tasks. Dynamic and short-time non-linear analysis methods are more appropriate for the study of mental functions. Non-linear dynamic analysis might help us understand the working mechanism of brain during mental activities.
Keywords/Search Tags:EEG, Non-linear dynamics, Cognitive function
PDF Full Text Request
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