Antipsychotics reverse abnormal EEG complexity in drug-naive schizophrenia: a multiscale entropy analysis.
Antipsychotics reverse abnormal EEG complexity in drug-naive schizophrenia: a multiscale entropy analysis.
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DOI：
10.1016/j.neuroimage.2010.02.009
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发表时间：
2010-05-15
期刊：
影响因子：
5.7
通讯作者：
Wada, Yuji
中科院分区：
文献类型：
--
作者：
Takahashi, Tetsuya;Cho, Raymond Y.;Mizuno, Tomoyuki;Kikuchi, Mitsuru;Murata, Tetsuhito;Takahashi, Koichi;Wada, Yuji
关键词：
多尺度熵 (MSE) 分析是一种新颖的基于熵的方法，用于测量生理系统在一系列时间尺度上的动态复杂性。为了评估这种分析方法是否有助于阐明精神分裂症的病理生理机制，我们检查了未接受药物治疗的精神分裂症受试者在接受抗精神病药物治疗前后的脑电图活动中的 MSE，并与传统的脑电图分析进行了比较。我们记录了 22 名未接受药物治疗的精神分裂症患者和 24 名年龄匹配的健康对照受试者的额叶、颞叶、顶叶和枕叶区域闭眼静息状态脑电图。开始抗精神病药物治疗后 2-8 周内，对 15 名患者进行了重新评估。对于每个参与者，MSE 是在每个实验会话的一个连续 60 秒的时期内计算的。与健康对照组相比，精神分裂症受试者在较高时间尺度（较低频率）下的额-中-颞区表现出明显更高的复杂性，但顶枕区则不然。治疗后，额中央区域的这种较高的复杂性选择性地降至健康对照受试者的水平，而颞叶部位的复杂性仍然较高。比较功率分析发现治疗前精神分裂症受试者额叶区域的光谱减慢，与之前的发现一致，但没有观察到抗精神病药物治疗的效果。总之，多尺度熵测量确定了精神分裂症患者前脑区域异常的动态脑电图信号复杂性，通过抗精神病药物治疗，这些信号在额中央区域选择性地正常化。这些发现表明，基于熵的分析方法可能作为一种新方法来表征和理解精神分裂症的异常皮质动力学，并阐明抗精神病药物的治疗机制。
Multiscale entropy (MSE) analysis is a novel entropy-based approach for measuring dynamical complexity in physiological systems over a range of temporal scales. To evaluate this analytic approach as an aid to elucidating the pathophysiologic mechanisms in schizophrenia, we examined MSE in EEG activity in drug-naïve schizophrenia subjects pre- and post-treatment with antipsychotics in comparison with traditional EEG analysis. We recorded eyes-closed resting state EEG from frontal, temporal, parietal and occipital regions in drug-naïve 22 schizophrenia and 24 age-matched healthy control subjects. Fifteen patients were re-evaluated within 2–8 weeks after the initiation of antipsychotic treatment. For each participant, MSE was calculated on one continuous 60 second epoch for each experimental session. Schizophrenia subjects showed significantly higher complexity at higher time scales (lower frequencies), than that of healthy controls in fronto-centro-temporal, but not in parieto-occipital regions. Post-treatment, this higher complexity decreased to healthy control subject levels selectively in fronto-central regions, while the increased complexity in temporal sites remained higher. Comparative power analysis identified spectral slowing in frontal regions in pre-treatment schizophrenia subjects, consistent with previous findings, whereas no antipsychotic treatment effect was observed. In summary, multiscale entropy measures identified abnormal dynamical EEG signal complexity in anterior brain areas in schizophrenia that normalized selectively in fronto-central areas with antipsychotic treatment. These findings show that entropy-based analytic methods may serve as a novel approach for characterizing and understanding abnormal cortical dynamics in schizophrenia, and elucidating the therapeutic mechanisms of antipsychotics.
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影响因子：
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作者：
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通讯作者：
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DOI：
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发表时间：
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发表时间：
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影响因子：
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作者：
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DOI：
10.1073/pnas.0704848104
发表时间：
2007-09-11
影响因子：
11.1
作者：
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