Potential Clinical Applications and Future Prospect of Wireless and Mobile Electroencephalography on the Assessment of Cognitive Impairment
Potential Clinical Applications and Future Prospect of Wireless and Mobile Electroencephalography on the Assessment of Cognitive Impairment
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DOI：
10.1089/bioe.2019.0001
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发表时间：
2019-06-01
期刊：
影响因子：
2.3
通讯作者：
Takahashi, Ryosuke
中科院分区：
文献类型：
--
作者：
Li, Fangzhou;Egawa, Naohiro;Takahashi, Ryosuke
几十年来，脑电图（EEG）系统一直用于评估痴呆症患者的认知功能。研究表明，阿尔茨海默病（AD）患者的脑电图通常表现为δ和θ波功率显著和特异性增加，α波功率降低，以及由长皮质-皮质纤维连接的不同脑区之间的快带一致性降低。路易体痴呆（DLB）的后侧脑电图特征使DLB与AD和对照组的区分具有很高的准确性。传统的脑电图系统需要较长的应用时间和不适，这限制了其在痴呆症患者中的应用。评估认知的替代工具可能是简单、低成本的移动医疗设备，如无线和移动脑电图（wmEEG）传感器平台，具有柔性电子设备和可拉伸电极片，甚至可以与痴呆症患者的长期脑电图监测兼容。在本研究中，我们综述了脑电图在反映认知功能方面的应用，以及wmEEG监测在早期发现痴呆和有效区分痴呆亚型以及客观评估纵向认知变化方面的临床应用前景。使用wmEEG对脑电图进行重复和纵向记录，将有助于检测与痴呆相关的睡眠和清醒相关问题患者的特定睡眠/清醒脑电图模式。
Electroencephalography (EEG) systems have been used for assessing cognitive function in dementia for several decades. Studies have demonstrated that EEG in Alzheimer's disease (AD) patients is generally characterized by significant and specific increases in delta and theta power, a decrease in alpha power, and a decrease in the coherence of the fast bands between different brain areas linked by long corticocortical fibers. Posterior EEG characteristics in dementia with Lewy bodies (DLB) allowed discrimination of DLB from AD and controls with high accuracy. Traditional EEG systems require a long application time and discomfort, which limited its use in dementia patients. Alternative tools for assessing cognition may be simple, low-cost, and mobile medical devices such as wireless and mobile EEG (wmEEG) sensor platforms with flexible electronics and stretchable electrode sheets that could be compatible with long-term EEG monitoring even in dementia patients. In this study, we review the utility of EEG in reflecting cognitive function and the prospects for clinical application of wmEEG monitoring for detecting early dementia and discriminating subtypes of dementia effectively and objectively assessing longitudinal cognitive changes. Repeated and longitudinal documentation of EEG using wmEEG will contribute to detection of specific sleep/wake EEG patterns for patients with sleep and wake-related problems related to dementia.