4.7 Article

Subthalamic nucleus beta and gamma activity is modulated depending on the level of imagined grip force

期刊

EXPERIMENTAL NEUROLOGY
卷 293, 期 -, 页码 53-61

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.expneurol.2017.03.015

关键词

STN; Basal ganglia; Force decoding; Motor imagery; Imagined force; Beta suppression; Gamma oscillations; Neuro-feedback; Brain machine interface; Brain computer interface

资金

  1. Medical Research Council [MC_UU_12024/1]
  2. Clarendon Scholarship
  3. St. John's Colleege Award
  4. Wellcome Trust [105804/Z/14/Z]
  5. Parkinson Appeal UK
  6. Monument Trust
  7. MRC [MC_UU_12024/1, MR/P012272/1] Funding Source: UKRI
  8. Wellcome Trust [105804/Z/14/Z] Funding Source: Wellcome Trust
  9. Medical Research Council [MC_UU_12024/1, MR/P012272/1] Funding Source: researchfish
  10. Rosetrees Trust [M526-B-CD1, M235-CD3] Funding Source: researchfish
  11. Wellcome Trust [105804/Z/14/Z] Funding Source: researchfish

向作者/读者索取更多资源

Motor imagery involves cortical networks similar to those activated by real movements, but the extent to which the basal ganglia are recruited is not yet clear. Gamma and beta oscillations in the subthalamic nucleus (STN) vary with the effort of sustained muscle activity. We recorded local field potentials in Parkinson's disease patients and investigated if similar changes can be observed during imagined gripping at three different 'forces'. We found that beta activity decreased significantly only for imagined grips at the two stronger force levels. Additionally, gamma power significantly scaled with increasing imagined force. Thus, in combination, these two spectral features can provide information about the intended force of an imaginary grip even in the absence of sensory feedback. Modulations in the two frequency bands during imaginary movement may explain the rehabilitating benefit of motor imagery to improve motor performance. The results also suggest that STN LFPs may provide useful information for brain-machine interfaces. (C) 2017 The Authors. Published by Elsevier Inc.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据