Motor activity in gamma and high gamma bands recorded with a Stentrode from the human motor cortex in two people with ALS.

Kriti Kacker, Nikole Chetty, Ariel K Feldman, James Bennett, Peter E Yoo, Adam Fry, David Lacomis, Noam Y Harel, Raul G Nogueira, Shahram Majidi, Nicholas L Opie, Jennifer L Collinger, Thomas J Oxley, David F Putrino, Douglas J Weber
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Abstract

Objective.This study examined the strength and stability of motor signals in low gamma and high gamma bands of vascular electrocorticograms (vECoG) recorded with endovascular stent-electrode arrays (Stentrodes) implanted in the superior sagittal sinus of two participants with severe paralysis due to amyotrophic lateral sclerosis.Approach.vECoG signals were recorded from two participants in the COMMAND trial, an Early Feasibility Study of the Stentrode brain-computer interface (BCI) (NCT05035823). The participants performed attempted movements of their ankles or hands. The signals were band-pass filtered to isolate low gamma (30-70 Hz) and high gamma (70-200 Hz) components. The strength of vECoG motor activity was measured as signal-to-noise ratio (SNR) and the percentage change in signal amplitude between the rest and attempted movement epochs, which we termed depth of modulation (DoM). We trained and tested classifiers to evaluate the accuracy and stability of detecting motor intent.Main results.Both low gamma and high gamma were modulated during attempted movements. For Participant 1, the average DoM across channels and sessions was 125.41 ± 17.53% for low gamma and 54.23 ± 4.52% for high gamma, with corresponding SNR values of 6.75 ± 0.37 dB and 3.69 ± 0.28 dB. For Participant 2, the average DoM was 22.77 ± 4.09% for low gamma and 22.53 ± 2.04% for high gamma, with corresponding SNR values of 1.72 ± 0.25 dB and 1.73 ± 0.13 dB. vECoG amplitudes remained significantly different between rest and move periods over the 3 month testing period, with >90% accuracy in discriminating attempted movement from rest epochs for both participants. For Participant 1, the average DoM was strongest during attempted movements of both ankles, while for Participant 2, the DoM was greatest for attempted movement of the right hand. The overall classification accuracy was 91.43% for Participant 1 and 70.37% for Participant 2 in offline decoding of multiple attempted movements and rest conditions.Significance.By eliminating the need for open brain surgery, the Stentrode offers a promising BCI alternative, potentially enhancing access to BCIs for individuals with severe motor impairments. This study provides preliminary evidence that the Stentrode can detect discriminable signals indicating motor intent, with motor signal modulation observed over the 3 month testing period reported here.

两名ALS患者的运动皮层的伽玛和高伽玛波段的运动活动。
目的:研究两名肌萎缩性侧索硬化症严重瘫痪患者上矢状窦血管内支架-电极阵列(Stentrodes)记录的血管皮质电图(VECoG)低伽马和高伽马带运动信号的强度和稳定性。方法:在Stentrode脑机接口(BCI) (NCT05035823)的早期可行性研究COMMAND试验中,记录两名参与者的VECoG信号。参与者尝试做脚踝或手的动作。信号经过带通滤波以隔离低伽马(30-70 Hz)和高伽马(70-200 Hz)分量。VECoG运动活动强度以信噪比(SNR)和信号幅度在休息和尝试运动时期之间的百分比变化来测量,我们称之为调制深度(DoM)。我们训练和测试了分类器来评估检测运动意图的准确性和稳定性。结果:在尝试运动时,低伽马和高伽马都被调节。对于参与者1,低伽马和高伽马的平均DoM分别为125.41±17.53%和54.23±4.52%,相应的信噪比分别为6.75±0.37 dB和3.69±0.28 dB。参与者2的低伽马平均DoM为22.77±4.09%,高伽马平均DoM为22.53±2.04%,相应的信噪比分别为1.72±0.25 dB和1.73±0.13 dB。在3个月的测试期间,VECoG振幅在休息和运动时期之间仍然存在显著差异,在区分尝试运动和休息时期时,两名参与者的准确率都达到了90%左右。对于参与者1来说,DoM在尝试移动两个脚踝时最强,而对于参与者2来说,DoM在尝试移动右手时最强。参与者1的总体分类准确率为91.43%,参与者2的总体分类准确率为70.37%。意义:通过消除开颅手术的需要,Stentrode提供了一种有希望的脑机接口替代方案,潜在地增加了严重运动障碍患者使用脑机接口的机会。这项研究提供了初步的证据,表明Stentrode可以检测到表明运动意图的可鉴别信号,在这里报告的3个月的测试期间观察到运动信号调制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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