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Potential Clinical Applications and Future Prospect of Wireless and Mobile Electroencephalography on the Assessment of Cognitive Impairment.
Li, Fangzhou; Egawa, Naohiro; Yoshimoto, Shusuke; Mizutani, Haruo; Kobayashi, Katsuya; Tachibana, Naoko; Takahashi, Ryosuke.
Afiliação
  • Li F; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
  • Egawa N; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
  • Yoshimoto S; PGV, Inc., Tokyo, Japan.
  • Mizutani H; PGV, Inc., Tokyo, Japan.
  • Kobayashi K; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
  • Tachibana N; Department of Neurology, Center for Sleep-Related Disorders, Kansai Electric Power Hospital, Osaka, Japan.
  • Takahashi R; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Bioelectricity ; 1(2): 105-112, 2019 Jun 01.
Article em En | MEDLINE | ID: mdl-34471813
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article