Changes in brain complexity during valproate treatment in XXXX with @entity302 .

@entity1 @entity410 @entity1092 @entity854 @entity2052 @entity302 @entity15131 @entity734
OBJECTIVE: The effect of @entity1092 ( @entity2052 ) on @entity1 electroencephalography (EEG) was studied using nonlinear dynamics analysis to investigate changes in brain complexity. METHODS: We propose a @entity15131 ( @entity15131 ) measure to quantify the complexity of spatial linear modes in multichannel EEGs. Nine @entity1 with complex partial @entity410 who had not previously been exposed to @entity734 ( @entity734 ) were included in this study. Eighteen-channel EEG data were collected before and after @entity2052 therapy. Changes in brain complexity were examined using the proposed @entity15131 measure, which reflects brain complexity. Fifteen normal, healthy subjects were included as a control group. To compare @entity15131 with spectral analysis, we performed spectral analysis within the conventional frequency bands. RESULTS: Spectral analysis showed that the @entity1 group had decreased relative power of the alpha2 band in the T7, P3, O1 and C4 leads before @entity2052 treatment and an increased relative theta power in the O1 lead relative to the control group. However, no significant changes occurred in any lead at any frequency band after @entity2052 treatment. The mean @entity15131 value was significantly lower in the @entity1 group before treatment than in the control group (p = 0.026). The average @entity15131 value for all @entity1 increased after treatment and neared that of the control group, although statistical significance was not attained (p = 0.074). CONCLUSIONS: These results suggest that @entity302 @entity1 have @entity854 that are demonstrated by reduced brain complexity, and that @entity2052 partially reverses this trend. Nonlinear analysis of EEG data may be useful in evaluating the effect of @entity734 .
