期刊
BRAIN STIMULATION
卷 11, 期 2, 页码 374-389出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.brs.2017.11.016
关键词
Brain-state dependent stimulation; EEG-TMS; mu-Rhythm; Repetitive transcranial magnetic stimulation; Corticospinal excitability; LTP-like plasticity
资金
- DFG [ZI 542/7-1]
- Industry-on-Campus Grant [IoC 211]
- University of Tubingen Fortune Junior Grant [2287-0-0]
Background: Rapidly changing excitability states in an oscillating neuronal network can explain response variability to external stimulation, but if repetitive stimulation of always the same high-or low-excitability state results in long-term plasticity of opposite direction has never been explored in vivo. Objective/hypothesis: Different phases of the endogenous sensorimotor m-rhythm represent different states of corticospinal excitability, and repetitive transcranial magnetic stimulation (rTMS) of always the same high-vs. low-excitability state results in long-term plasticity of different direction. Methods: State-dependent electroencephalography-triggered transcranial magnetic stimulation (EEG-TMS) was applied to target the EEG negative vs. positive peak of the sensorimotor mu-rhythm in healthy subjects using a millisecond resolution real-time digital signal processing system. Corticospinal excitability was indexed by motor evoked potential amplitude in a hand muscle. Results: EEG negative vs. positive peak of the endogenous sensorimotor m-rhythm represent high-vs. low-excitability states of corticospinal neurons. More importantly, otherwise identical rTMS (200 triple-pulses at 100 Hz burst frequency and similar to 1 Hz repetition rate), triggered consistently at this high-excitability vs. low-excitability state, leads to long-term potentiation (LTP)-like vs. no change in corticospinal excitability. Conclusions: Findings raise the intriguing possibility that real-time information of instantaneous brain state can be utilized to control efficacy of plasticity induction in humans. (C) 2017 Elsevier Inc. All rights reserved.
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。
推荐
暂无数据