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典型手部运动生理学在断臂患者中得以保留:一项 ECoG 案例研究。

Typical somatomotor physiology of the hand is preserved in a patient with an amputated arm: An ECoG case study.

机构信息

Department of Physiology and Biomedical Engineering, Mayo Clinic Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; Department of Neurology & Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.

Department of Neurosurgery, Mayo Clinic Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.

出版信息

Neuroimage Clin. 2021;31:102728. doi: 10.1016/j.nicl.2021.102728. Epub 2021 Jun 17.

Abstract

Electrophysiological signals in the human motor system may change in different ways after deafferentation, with some studies emphasizing reorganization while others propose retained physiology. Understanding whether motor electrophysiology is retained over longer periods of time can be invaluable for patients with paralysis (e.g. ALS or brainstem stroke) when signals from sensorimotor areas may be used for communication or control over neural prosthetic devices. In addition, a maintained electrophysiology can potentially benefit the treatment of phantom limb pains through prolonged use of these signals in a brain-machine interface (BCI). Here, we were presented with the unique opportunity to investigate the physiology of the sensorimotor cortex in a patient with an amputated arm using electrocorticographic (ECoG) measurements. While implanted with an ECoG grid for clinical evaluation of electrical stimulation for phantom limb pain, the patient performed attempted finger movements with the contralateral (lost) hand and executed finger movements with the ipsilateral (healthy) hand. The electrophysiology of the sensorimotor cortex contralateral to the amputated hand remained very similar to that of hand movement in healthy people, with a spatially focused increase of high-frequency band (65-175 Hz; HFB) power over the hand region and a distributed decrease in low-frequency band (15-28 Hz; LFB) power. The representation of the three different fingers (thumb, index and little) remained intact and HFB patterns could be decoded using support vector learning at single-trial classification accuracies of >90%, based on the first 1-3 s of the HFB response. These results indicate that hand representations are largely retained in the motor cortex. The intact physiological response of the amputated hand, the high distinguishability of the fingers and fast temporal peak are encouraging for neural prosthetic devices that target the sensorimotor cortex.

摘要

人类运动系统中的电生理信号在去传入后可能会以不同的方式发生变化,一些研究强调重组,而另一些则提出保留生理学。了解运动电生理学是否在较长时间内保持不变,对于因感觉运动区域的信号可能用于通信或控制神经假体设备而瘫痪(例如 ALS 或脑干中风)的患者来说可能是无价的。此外,通过在脑机接口(BCI)中长时间使用这些信号,保持电生理学可能会对治疗幻肢疼痛有益。在这里,我们有机会使用皮层电图(ECoG)测量值研究一名截肢手臂患者的感觉运动皮层生理学。在植入用于幻肢痛电刺激临床评估的 ECoG 网格的同时,患者使用对侧(失去的)手进行手指运动尝试,并使用同侧(健康的)手执行手指运动。与截肢手相对侧的感觉运动皮层的电生理学与健康人的手部运动非常相似,高频带(65-175 Hz;HFB)功率在手区呈空间聚焦增加,低频带(15-28 Hz;LFB)功率呈分布式减少。三个不同手指(拇指、食指和小指)的代表仍然完整,并且可以使用支持向量学习对手部运动进行解码,基于 HFB 响应的前 1-3 秒,单次试验分类准确率>90%。这些结果表明手部代表在运动皮层中基本保持不变。截肢手的生理反应完整,手指的高可分辨性和快速的时间峰值,对于针对感觉运动皮层的神经假体设备来说是令人鼓舞的。

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