Non-linear dynamic analysis of clozapine-induced electroencephalographic changes in schizophrenic patients--a preliminary study.
1. In order to find the electroencephalographic (EEG) parameters that reflect the effect of clozapine in schizophrenic patients, the authors applied various non-linear analyses on multi-channel EEG data drawn from patients before and after a therapeutic trial of clozapine. 2. The correlation dimension was difficult to extract from our limited time series EEG data and the authors did not find a meaningful association with clozapine use. The primary Lyapunov exponent could be reliably calculated but also did not reflect the effect of clozapine. 3. However, the mutual cross-prediction (MCP) algorithm showed potentially meaningful results. The driving system was shifted to the frontal channels after a 4-week trial with clozapine. Moreover, MCP might have a value as a predictor of treatment response. 4. Although preliminary in nature, the MCP might have greater power for interpreting complex changes from channel to channel in EEG induced by clozapine.
Kang
U G
UG
Department of Psychiatry, Seoul National University College of Medicine, Korea.
Par
K T
KT
Ahn
Y M
YM
Koo
Y J
YJ
Yoon
S C
SC
Yi
S H
SH
Kim
Y S
YS
D000328:Adult; D014150:Antipsychotic Agents / Q000494:pharmacology* / Q000627:therapeutic use*; D003024:Clozapine / Q000494:pharmacology* / Q000627:therapeutic use*; D004569:Electroencephalography / Q000187:drug effects* / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D017711:Nonlinear Dynamics; D012559:Schizophrenia / Q000188:drug therapy* / Q000503:physiopathology
D014150:Antipsychotic Agents; D003024:Clozapine