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长期上肢截肢后幻手运动的硬膜外皮层电图。

Epidural electrocorticography of phantom hand movement following long-term upper-limb amputation.

机构信息

Division of Functional and Restorative Neurosurgery and Division of Translational Neurosurgery, Department of Neurosurgery, Eberhard Karls University of Tübingen Tübingen, Germany ; Neuroprosthetics Research Group, Werner Reichardt Centre for Integrative Neuroscience, Eberhard Karls University of Tübingen Tübingen, Germany.

Department of Computer Engineering, Wilhelm-Schickard Institute for Computer Science, Eberhard Karls University of Tübingen Tübingen, Germany.

出版信息

Front Hum Neurosci. 2014 May 6;8:285. doi: 10.3389/fnhum.2014.00285. eCollection 2014.

DOI:10.3389/fnhum.2014.00285
PMID:24834047
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4018546/
Abstract

INTRODUCTION

Prostheses for upper-limb amputees are currently controlled by either myoelectric or peripheral neural signals. Performance and dexterity of these devices is still limited, particularly when it comes to controlling hand function. Movement-related brain activity might serve as a complementary bio-signal for motor control of hand prosthesis.

METHODS

We introduced a methodology to implant a cortical interface without direct exposure of the brain surface in an upper-limb amputee. This bi-directional interface enabled us to explore the cortical physiology following long-term transhumeral amputation. In addition, we investigated neurofeedback of electrocorticographic brain activity related to the patient's motor imagery to open his missing hand, i.e., phantom hand movement, for real-time control of a virtual hand prosthesis.

RESULTS

Both event-related brain activity and cortical stimulation revealed mutually overlapping cortical representations of the phantom hand. Phantom hand movements could be robustly classified and the patient required only three training sessions to gain reliable control of the virtual hand prosthesis in an online closed-loop paradigm that discriminated between hand opening and rest.

CONCLUSION

Epidural implants may constitute a powerful and safe alternative communication pathway between the brain and external devices for upper-limb amputees, thereby facilitating the integrated use of different signal sources for more intuitive and specific control of multi-functional devices in clinical use.

摘要

简介

上肢截肢者目前使用肌电或周围神经信号来控制假肢。这些设备的性能和灵活性仍然有限,特别是在控制手部功能方面。与运动相关的大脑活动可以作为手部假肢运动控制的补充生物信号。

方法

我们引入了一种方法,在上肢截肢者中无需直接暴露大脑表面即可植入皮质接口。这种双向接口使我们能够探索长期经肱骨干截肢后的皮质生理学。此外,我们研究了与患者运动想象相关的脑电活动的神经反馈,以打开他缺失的手,即幻手运动,实现对虚拟手假肢的实时控制。

结果

事件相关脑活动和皮质刺激都揭示了幻手的相互重叠的皮质代表。幻手运动可以被稳健地分类,患者只需进行三次训练即可在在线闭环范式中获得对虚拟手假肢的可靠控制,该范式可以区分手的张开和休息。

结论

硬膜内植入物可能构成上肢截肢者大脑与外部设备之间强大而安全的替代通讯途径,从而促进不同信号源的综合使用,以实现更直观和特定的多功能设备控制,这在临床应用中是非常重要的。

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本文引用的文献

1
An implantable wireless neural interface for recording cortical circuit dynamics in moving primates.一种可植入的无线神经接口,用于记录运动灵长类动物大脑皮层回路的动态。
J Neural Eng. 2013 Apr;10(2):026010. doi: 10.1088/1741-2560/10/2/026010. Epub 2013 Feb 21.
2
An electrocorticographic brain interface in an individual with tetraplegia.一名四肢瘫痪患者的脑电皮层接口。
PLoS One. 2013;8(2):e55344. doi: 10.1371/journal.pone.0055344. Epub 2013 Feb 6.
3
Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas.
Front Neuroinform. 2019 Dec 3;13:74. doi: 10.3389/fninf.2019.00074. eCollection 2019.
4
Encoding of kinetic and kinematic movement parameters in the sensorimotor cortex: A Brain-Computer Interface perspective.感觉运动皮层中运动参数的编码:脑机接口视角。
Eur J Neurosci. 2019 Sep;50(5):2755-2772. doi: 10.1111/ejn.14342. Epub 2019 Jan 30.
5
Brain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations.脑机接口:临床治疗和神经科学研究的强大工具。
Neuroscientist. 2019 Apr;25(2):139-154. doi: 10.1177/1073858418775355. Epub 2018 May 17.
6
Preservation of hand movement representation in the sensorimotor areas of amputees.截肢者感觉运动区手部运动表征的保留。
Brain. 2017 Dec 1;140(12):3166-3178. doi: 10.1093/brain/awx274.
7
Physiological properties of brain-machine interface input signals.脑机接口输入信号的生理特性。
J Neurophysiol. 2017 Aug 1;118(2):1329-1343. doi: 10.1152/jn.00070.2017. Epub 2017 Jun 14.
8
Decoding hand gestures from primary somatosensory cortex using high-density ECoG.使用高密度脑皮层电图从初级体感皮层解码手势
Neuroimage. 2017 Feb 15;147:130-142. doi: 10.1016/j.neuroimage.2016.12.004. Epub 2016 Dec 5.
9
Continuous decoding of human grasp kinematics using epidural and subdural signals.利用硬膜外和硬膜下信号对人类抓握运动学进行连续解码。
J Neural Eng. 2017 Feb;14(1):016005. doi: 10.1088/1741-2560/14/1/016005. Epub 2016 Nov 30.
10
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Front Neurosci. 2016 Nov 15;10:518. doi: 10.3389/fnins.2016.00518. eCollection 2016.
利用人类感觉运动脑区伽马波段的脑电信号进行手姿势分类。
J Neural Eng. 2013 Apr;10(2):026002. doi: 10.1088/1741-2560/10/2/026002. Epub 2013 Jan 31.
4
Toward a minimally invasive brain-computer interface using a single subdural channel: a visual speller study.采用单个硬脑膜下通道的微创脑-机接口研究:视觉拼写器研究。
Neuroimage. 2013 May 1;71:30-41. doi: 10.1016/j.neuroimage.2012.12.069. Epub 2013 Jan 10.
5
High-performance neuroprosthetic control by an individual with tetraplegia.高位截瘫患者的高性能神经假体控制。
Lancet. 2013 Feb 16;381(9866):557-64. doi: 10.1016/S0140-6736(12)61816-9. Epub 2012 Dec 17.
6
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.四肢瘫痪患者使用神经控制的机器臂进行触及和抓握。
Nature. 2012 May 16;485(7398):372-5. doi: 10.1038/nature11076.
7
Electrocorticographic control of a prosthetic arm in paralyzed patients.瘫痪患者的假肢的脑电控制。
Ann Neurol. 2012 Mar;71(3):353-61. doi: 10.1002/ana.22613. Epub 2011 Nov 2.
8
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9
Decoding natural grasp types from human ECoG.从人类 ECoG 解码自然抓握类型。
Neuroimage. 2012 Jan 2;59(1):248-60. doi: 10.1016/j.neuroimage.2011.06.084. Epub 2011 Jul 8.
10
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Neurorehabil Neural Repair. 2012 Mar-Apr;26(3):275-81. doi: 10.1177/1545968311408919. Epub 2011 Jul 5.