Electroencephalogram Features Reflect Effort Corresponding to Graded Finger Extension: Implications for Hemiparetic Stroke.

IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Biomedical Physics & Engineering Express Pub Date : 2025-01-20 DOI:10.1088/2057-1976/adabeb
Chase Haddix, Madison Bates, Sarah Garcia Pava, Elizabeth Salmon Powell, Lumy Sawaki, Sridhar Sunderam
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Abstract

Brain-computer interfaces (BCIs) offer disabled individuals the means to interact with devices by decoding the electroencephalogram (EEG). However, decoding intent in fine motor tasks can be challenging, especially in stroke survivors with cortical lesions. Here, we attempt to decode graded finger extension from the EEG in stroke patients with left-hand paresis and healthy controls. Participants extended their fingers to one of four levels: low, medium, high, or "no-go" (none), while hand, muscle (electromyography: EMG), and brain (EEG) activity were monitored. Event-related desynchronization (ERD) was measured as the change in 8-30 Hz EEG power during movement. Classifiers were trained on the ERD, EMG power, or both (EEG+EMG) to decode finger extension, and accuracy assessed via four-fold cross-validation for each hand of each participant. Mean accuracy exceeded chance (25%) for controls (n=11) at 62% for EMG, 60% for EEG, and 71% for EEG+EMG on the left hand; and 67%, 60%, and 74%, respectively, on the right hand. Accuracies were similar on the unimpaired right hand for the stroke group (n=3): 61%, 68%, and 78%, respectively. But on the paretic left hand, EMG only discriminated no-go from movement above chance (41%); in contrast, EEG gave 65% accuracy (68% for EEG+EMG), comparable to the non-paretic hand. The median ERD was significant (p < 0.01) over the cortical hand area in both groups and increased with each level of finger extension. But while the ERD favored the hemisphere contralateral to the active hand as expected, it was ipsilateral for the left hand of stroke due to the lesion in the right hemisphere, which may explain its discriminative ability. Hence, the ERD captures effort in finger extension regardless of success or failure at the task; and harnessing residual EMG improves the correlation. This marker could be leveraged in rehabilitative protocols that focus on fine motor control.

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脑电图特征反映了与手指伸展程度相对应的努力:对偏瘫中风的影响。
脑机接口(bci)通过解码脑电图(EEG)为残疾人提供与设备交互的手段。然而,在精细运动任务中解码意图是具有挑战性的,特别是在有皮层病变的中风幸存者中。在这里,我们试图解码脑卒中患者左手麻痹和健康对照的分级手指延伸。参与者将手指伸到四个水平中的一个:低、中、高或“不”(没有),同时监测手、肌肉(肌电图)和大脑(脑电图)的活动。运动过程中8 ~ 30 Hz脑电功率的变化测量事件相关去同步(ERD)。分类器在ERD、肌电图功率或两者(EEG+EMG)上进行训练,以解码手指延伸,并通过对每个参与者的每只手进行四次交叉验证来评估准确性。对照组(n=11)的平均准确率超过机会(25%),肌电图为62%,脑电图为60%,脑电图+肌电图为71%;右边分别是67% 60% 74%中风组未受损右手的准确度相似(n=3):分别为61%、68%和78%。但在父母的左手,肌电图只区分不走和机会以上的运动(41%);相比之下,脑电图的准确率为65%(脑电图+肌电图为68%),与非双亲手相当。两组手部皮质区平均ERD值均显著(p < 0.01),且随手指伸度的增加而增加。但是,尽管ERD如预期的那样倾向于活动手的对侧半球,但由于右半球的病变,它对中风的左手是同侧的,这可能解释了它的辨别能力。因此,ERD捕捉手指伸展的努力,而不管任务的成功或失败;利用残馀肌电信号可以提高相关性。这种标记物可以用于专注于精细运动控制的康复方案。
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来源期刊
Biomedical Physics & Engineering Express
Biomedical Physics & Engineering Express RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
2.80
自引率
0.00%
发文量
153
期刊介绍: BPEX is an inclusive, international, multidisciplinary journal devoted to publishing new research on any application of physics and/or engineering in medicine and/or biology. Characterized by a broad geographical coverage and a fast-track peer-review process, relevant topics include all aspects of biophysics, medical physics and biomedical engineering. Papers that are almost entirely clinical or biological in their focus are not suitable. The journal has an emphasis on publishing interdisciplinary work and bringing research fields together, encompassing experimental, theoretical and computational work.
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