Assessment of EEG dynamical complexity in Alzheimer's disease using multiscale entropy.
Assessment of EEG dynamical complexity in Alzheimer's disease using multiscale entropy.
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DOI：
10.1016/j.clinph.2010.03.025
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发表时间：
2010-09
期刊：
影响因子：
--
通讯作者：
Wada Y
中科院分区：
文献类型：
--
作者：
Mizuno T;Takahashi T;Cho RY;Kikuchi M;Murata T;Takahashi K;Wada Y
多尺度熵是最近提出的一种基于熵的生理复杂性指数，在多个时间尺度上对信号进行评估。为了验证这种方法有助于阐明阿尔茨海默病(AD)的病理生理学机制，我们检测了静息状态下的MSE脑电活动，并与传统的脑电分析进行了比较。我们记录了15例无药物治疗的老年前期AD患者和18例年龄和性别匹配的健康对照组(HC)的脑电。在功率分析的同时，计算每组连续60秒的MSE。较小和较大尺度的MSE结果分别与较高和较低的相对功率频率相关。群体分析表明，AD组在额叶较多的区域具有较小规模的较低复杂性，这与先前的发现一致。相比之下，AD组在更大范围内观察到了更高的脑区复杂性，并且这种更高的复杂性与认知能力下降显著相关。MSE测量确定了不同时间尺度上的异常复杂性概况及其与AD严重程度的关系。这些发现表明，基于熵的分析方法在时间尺度上的应用可以作为描述和理解AD异常皮质动力学的补充方法。
Multiscale entropy (MSE) is a recently proposed entropy-based index of physiological complexity, evaluating signals at multiple temporal scales. To test this method as an aid to elucidating the pathophysiology of Alzheimer’s disease (AD), we examined MSE in resting state EEG activity in comparison with traditional EEG analysis. We recorded EEG in medication-free 15 presenile AD patients and 18 age- and sex-matched healthy control (HC) subjects. MSE was calculated for continuous 60-second epochs for each group, concurrently with power analysis. The MSE results from smaller and larger scales were associated with higher and lower frequencies of relative power, respectively. Group analysis demonstrated that the AD group had less complexity at smaller scales in more frontal areas, consistent with previous findings. In contrast, higher complexity at larger scales was observed across brain areas in AD group and this higher complexity was significantly correlated with cognitive decline. MSE measures identified an abnormal complexity profile across different temporal scales and their relation to the severity of AD. These findings indicate that entropy-based analytic methods with applied at temporal scales may serve as a complementary approach for characterizing and understanding abnormal cortical dynamics in AD.
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影响因子：
14
作者：
Kavcic, Voyko;Ni, Hongyan;Zhu, Tong;Zhong, Jianhui;Duffy, Charles J.
通讯作者：
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影响因子：
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影响因子：
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作者：
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