Acute single channel EEG predictors of cognitive function after stroke

Background: Early and accurate identification of factors that predict post-stroke cognitive outcome is important to set realistic targets for rehabilitation and to guide patients and their families accordingly. However, behavioral measures of cognition are difficult to obtain in the acute phase of recovery due to clinical factors (e.g. fatigue) and functional barriers (e.g. language deficits). The aim of the current study was to test whether single channel wireless EEG data obtained acutely following stroke could predict longer-term cognitive function. Methods: Resting state Relative Power (RP) of delta, theta, alpha, beta, delta/alpha ratio (DAR), and delta/theta ratio (DTR) were obtained from a single electrode over FP1 in 24 participants within 72 hours of a first-ever stroke. The Montreal Cognitive Assessment (MoCA) was administered at 90-days post-stroke. Correlation and regression analyses were completed to identify relationships between 90-day cognitive function and electrophysi...背景：早期且精准地识别可预测卒中后认知结局的影响因素，对于制定贴合临床实际的康复目标、为患者及其家属提供针对性指导均具有重要意义。然而，受临床因素（如疲劳）与功能障碍（如语言缺损）影响，康复急性期内难以获取认知行为测评数据。本研究旨在探究卒中后急性期采集的单通道无线脑电图（Electroencephalogram, EEG）数据能否预测患者的远期认知功能。 方法：本研究纳入24名首次卒中患者，于其发病后72小时内，通过覆盖FP1区的单电极采集静息态δ波、θ波、α波、β波的相对功率（Relative Power, RP），以及δ/α比值（DAR）、δ/θ比值（DTR）；于患者卒中后90天开展蒙特利尔认知评估量表（Montreal Cognitive Assessment, MoCA）测评。通过相关性与回归分析，探究卒中后90天认知功能与电生理指标之间的关联。