Towards predicting ECoG-BCI performance: assessing the potential of scalp-EEG.
Towards predicting ECoG-BCI performance: assessing the potential of scalp-EEG.
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预测 ECoG-BCI 性能：评估头皮脑电图的潜力。
DOI：
10.1088/1741-2552/ac8764
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发表时间：
2022
影响因子：
4
通讯作者：
Vansteensel,MariskaJ
中科院分区：
文献类型：
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作者：
FahimiHnazaee,Mansoureh;Verwoert,Maxime;Freudenburg,ZacharyV;vanderSalm,SandraMA;Aarnoutse,ErikJ;Leinders,Sacha;VanHulle,MarcM;Ramsey,NickF;Vansteensel,MariskaJ
目的植入脑机接口（BCI）利用神经信号来控制计算机，并可能为闭锁综合症（LIS）患者提供替代的沟通渠道。使用来自感觉运动（SM）区域的信号已经获得了有希望的结果。然而，在 LIS 患者家庭使用基于皮层电图 (ECoG) 的 BCI 的早期研究中，我们发现 ECoG-BCI 性能存在差异，这与 SM 区域低频段 (LFB) 功率调制的差异有关。对于 ECoG-BCIs 的未来临床实施，在电极植入之前确定是否可以预测可靠的性能至关重要。为了评估非侵入性头皮脑电图 (EEG) 是否可以进行此类预测，我们在此研究了 EEG 是否可以检测到 ECoG 信号的 LFB 调制中观察到的特征。方法我们纳入了早期研究中患有 LIS 的三名参与者，以及由 20 名健康参与者组成的对照组。所有参与者都执行了一项休息任务和一项涉及实际（健康）或尝试（LIS）手部运动的运动任务，同时记录了他们的脑电图信号。主要结果休息任务的数据用于确定信噪比，结果显示 LIS 和健康参与者的信噪比范围相似。使用运动任务的数据，我们选择了七个脑电图电极，这些电极在健康参与者中显示出与运动相关的 β 功率（13-30 Hz）一致下降。在两名 LIS 参与者的电极子集的 EEG 记录中，我们识别出了之前在 ECoG 记录中报告的 LFB 现象。具体来说，在一名LIS参与者中观察到强烈的运动相关β带抑制，而另一名LIS参与者则没有观察到，而两者中几乎不存在运动相关α带（8-12 Hz）抑制。由于 EEG 记录的技术问题，第三位 LIS 参与者的结果尚无定论。 意义 总之，这些发现支持头皮 EEG 在 ECoG-BCI 候选者的术前评估中的潜在作用。
ObjectiveImplanted brain-computer interfaces (BCIs) employ neural signals to control a computer and may offer an alternative communication channel for people with locked-in syndrome (LIS). Promising results have been obtained using signals from the sensorimotor (SM) area. However, in earlier work on home-use of an electrocorticography (ECoG)-based BCI by people with LIS, we detected differences in ECoG-BCI performance, which were related to differences in the modulation of low frequency band (LFB) power in the SM area. For future clinical implementation of ECoG-BCIs, it will be crucial to determine whether reliable performance can be predicted before electrode implantation. To assess if non-invasive scalp-electroencephalography (EEG) could serve such prediction, we here investigated if EEG can detect the characteristics observed in the LFB modulation of ECoG signals.ApproachWe included three participants with LIS of the earlier study, and a control group of 20 healthy participants. All participants performed a Rest task, and a Movement task involving actual (healthy) or attempted (LIS) hand movements, while their EEG signals were recorded.Main resultsData of the Rest task was used to determine signal-to-noise ratio, which showed a similar range for LIS and healthy participants. Using data of the Movement task, we selected seven EEG electrodes that showed a consistent movement-related decrease in beta power (13–30 Hz) across healthy participants. Within the EEG recordings of this subset of electrodes of two LIS participants, we recognized the phenomena reported earlier for the LFB in their ECoG recordings. Specifically, strong movement-related beta band suppression was observed in one, but not the other, LIS participant, and movement-related alpha band (8–12 Hz) suppression was practically absent in both. Results of the third LIS participant were inconclusive due to technical issues with the EEG recordings.SignificanceTogether, these findings support a potential role for scalp EEG in the presurgical assessment of ECoG-BCI candidates.