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Quantitative analysis between visual mismatch negativity and psychopathology scale for schizophrenia
Kazuhiko Goto,Takenao Sugi,Toshihiko Maekawa,Katuya Ogata,Yoshinobu Goto,Shozo Tobimatsu,Masatoshi Nakamura 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Visual mismatch negativity (v-MMN) in electroencephalographic (EEG) record provides an index of preattentive information processing of the brain v-MMN is considered to reflect schizophrenia. The positive and negative syndrome scale (PANSS) is usually used in clinical diagnosis on patients with schizophyenia for estimating the degree of disorder. In this study, the relationship between v-MMN and PANSS was analyzed. Characteristic parameters of peals including N1, N2, P300, and MMN were established respectively. Estimated function was constructed by selected parameters. P300 was most significant characteristic related to all items of FANSS.
Kazuhiko Goto,Takenao Sugi,Yoshitaka Matsuda,Satoru Goto,Hiroki Fukuda,Yoshinobu Goto,Takao Yamasaki,Shozo Tobimatsu 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
Visual evoked potentials (VEPs) are the electrical responses from the brain concerned with visual information processing. Amplitude of VEPs is smaller than that of background EEG activity, and the stimulus-locked averaging method is usually used for obtained the waveform. VEP response to each stimulus is not completely the same however it is varying with its amplitude and duration. Therefore, amplitude of averaged VEP waveform deteriorates due to their variability in raw data. Feature extraction of background EEG activity during visual stimulation is also a one of significant items in VEP analysis. In that case, separation of VEP component and background EEG component (mainly posterior dominant rhythm) is crucial. In the past, we proposed the method of estimating both amplitude of VEP and dominant rhythm by use of EEG model. This present study, the proposed method was applied to actual recorded VEP data and its effectiveness was evaluated. EEGs with visual stimulus were recorded from nine healthy young adults. Usefulness of the proposed method was investigated by comparing the conventional power spectrum averaging method. The proposed method will be applicable to show an accurate VEP analysis and characteristic analysis of background activity under visual stimulus.