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Prediction of consciousness recovery in patients with disorder of consciousness using Brain-computer Interface

机译:使用脑机界面预测意识障碍患者的意识恢复

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The aim of this study is to determine the potential prognostic value of using Brain-computer Interface (BCI) to identify patients with disorder of consciousness (DOC), who show potential for recovery. A retrospective study involved 51 patients with DOC were conducted. Each patient conducted in a BCI experiment to detect awareness and received a 3-months follow-up. The BCI accuracies were correlated to patient outcomes according to the Coma Recovery Scale Revised (CRS-R). The statistical tests showed that patients with significant accuracies higher than the chance level showed greater improvement in CRS-R scores after 3 months compared to patients without significant accuracies. The sensitivity and specificity of the BCI accuracies in determining individual's consciousness recovery after 3 months are 67.7% and 90% respectively. A highly significant relationship between BCI accuracies and subsequent recovery was thus found. The BCI is suggested as an important tool to assess information-processing capacities that can predict the likelihood of recovery in patients with disorder of consciousness.
机译:这项研究的目的是确定使用脑机接口(BCI)识别具有恢复潜力的意识障碍(DOC)患者的潜在预后价值。进行了一项回顾性研究,涉及51名DOC患者。每位患者均在BCI实验中进行了检测以了解其意识,并接受了3个月的随访。根据修订的昏迷恢复量表(CRS-R),BCI准确性与患者预后相关。统计测试表明,与无显着准确性的患者相比,显着准确性高于机会水平的患者在3个月后显示出CRS-R评分的改善更大。 BCI准确性在确定三个月后个人意识恢复方面的敏感性和特异性分别为67.7%和90%。因此,发现了BCI准确性和随后的恢复之间的高度重要关系。建议使用BCI作为评估信息处理能力的重要工具,该信息处理能力可以预测意识障碍患者恢复的可能性。

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