Somatosensory responses in a human motor cortex

被引:22
作者
Shaikhouni, Ammar [1 ,2 ]
Donoghue, John P. [1 ,2 ,3 ]
Hochberg, Leigh R. [2 ,3 ,4 ,5 ,6 ]
机构
[1] Brown Univ, Dept Neurosci, Providence, RI 02912 USA
[2] Brown Univ, Inst Brain Sci, Providence, RI 02912 USA
[3] Ctr Neurorestorat & Neurotechnol, Dept Vet Affairs, Providence, RI USA
[4] Brown Univ, Sch Engn, Providence, RI 02912 USA
[5] Brigham & Womens Hosp, Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02115 USA
[6] Harvard Univ, Sch Med, Spaulding Rehabil Hosp, Boston, MA USA
基金
美国国家卫生研究院;
关键词
brain machine interfaces; decoding; stroke; plasticity; REORGANIZATION FOLLOWING MOTOR; PYRAMIDAL TRACT NEURONS; SENSORIMOTOR CORTEX; PRECENTRAL CORTEX; SENSORY INPUT; SPATIAL-ORGANIZATION; DYNAMIC ORGANIZATION; TARGET MUSCLES; AFFERENT INPUT; AWAKE PRIMATES;
D O I
10.1152/jn.00368.2012
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Shaikhouni A, Donoghue JP, Hochberg LR. Somatosensory responses in a human motor cortex. J Neurophysiol 109: 2192-2204, 2013. First published January 23, 2013; doi:10.1152/jn.00368.2012.-Somatic sensory signals provide a major source of feedback to motor cortex. Changes in somatosensory systems after stroke or injury could profoundly influence brain computer interfaces (BCI) being developed to create new output signals from motor cortex activity patterns. We had the unique opportunity to study the responses of hand/arm area neurons in primary motor cortex to passive joint manipulation in a person with a long-standing brain stem stroke but intact sensory pathways. Neurons responded to passive manipulation of the contralateral shoulder, elbow, or wrist as predicted from prior studies of intact primates. Thus fundamental properties and organization were preserved despite arm/hand paralysis and damage to cortical outputs. The same neurons were engaged by attempted arm actions. These results indicate that intact sensory pathways retain the potential to influence primary motor cortex firing rates years after cortical outputs are interrupted and may contribute to online decoding of motor intentions for BCI applications.
引用
收藏
页码:2192 / 2204
页数:13
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