Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy.
IRCCS E. Medea, Via Don Luigi Monza, 20, 23842 Bosisio Parini, Lecco, Italy.
Med Biol Eng Comput. 2018 Jun;56(6):991-1001. doi: 10.1007/s11517-017-1744-5. Epub 2017 Nov 9.
The aim of this study is to assess the ability of EEG-based indices in providing relevant information about cognitive engagement level during the execution of a clinical sustained attention (SA) test in healthy volunteers and DAI (diffused axonal injury)-affected patients. We computed three continuous power-based engagement indices (P /P , 1/P , and P / (P + P )) from EEG recordings in a control group (n = 7) and seven DAI-affected patients executing a 10-min Conners' "not-X" continuous performance test (CPT). A correlation analysis was performed in order to investigate the existence of relations between the EEG metrics and behavioral parameters in both the populations. P /P and 1/P indices were found to be correlated with reaction times in both groups while P / (P + P ) and P /P also correlated with the errors rate for DAI patients. In line with previous studies, time course fluctuations revealed a first strong decrease of attention after 2 min from the beginning of the test and a final fading at the end. Our results provide evidence that EEG-derived indices extraction and evaluation during SA tasks are helpful in the assessment of attention level in healthy subjects and DAI patients, offering motivations for including EEG monitoring in cognitive rehabilitation practice. Graphical abstract Three EEG-derived indices were computed from four electrodes montages in a population of seven healthy volunteers and a group of seven DAI-affected patients. Results show a significant correlation between the time course of the indices and behavioral parameters, thus demonstrating their usefulness in monitoring mental engagement level during a sustained attention task.
本研究旨在评估基于脑电图（EEG）的指标在提供认知参与水平相关信息方面的能力，这些信息来自健康志愿者和弥漫性轴索损伤（DAI）患者执行临床持续注意力（SA）测试时的 EEG 记录。我们在一个对照组（n=7）和七个 DAI 患者中计算了三个基于连续功率的参与指数（P /P 、1/P 和 P /（P + P ）），他们执行了 10 分钟的 Conners'“非 X”连续表现测试（CPT）。进行了相关分析，以研究 EEG 指标与两组人群的行为参数之间的关系。在两组人群中，P /P 和 1/P 指数与反应时间相关，而 P /（P + P ）和 P /P 也与 DAI 患者的错误率相关。与之前的研究一致，时间过程波动表明，在测试开始后 2 分钟注意力首先明显下降，然后在测试结束时逐渐减弱。我们的结果提供了证据，表明在 SA 任务中提取和评估 EEG 衍生指标有助于评估健康受试者和 DAI 患者的注意力水平，为将 EEG 监测纳入认知康复实践提供了动力。 图表摘要 在一个由七个健康志愿者和七个 DAI 患者组成的人群中，从四个电极导联中计算了三个 EEG 衍生指标。结果表明，指数的时间过程与行为参数之间存在显著相关性，从而证明它们在监测持续注意力任务中的心理参与水平方面的有用性。
