Effects of stimulating the supplementary motor area with a transcranial alternating current for bimanual movement performance

Effects of stimulating the supplementary motor area with a transcranial alternating current for bimanual movement performance
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经颅交流电刺激辅助运动区对双手运动性能的影响

DOI:
10.1016/j.bbr.2020.112801
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发表时间:
2020
影响因子:
2.7
通讯作者:
Onishi Hideaki
Onishi Hideaki
中科院分区:
心理学3区
文献类型:
--
作者:
Miyaguchi Shota;Inukai Yasuto;Takahashi Ryo;Miyashita Mai;Matsumoto Yuya;Otsuru Naofumi;Onishi Hideaki

文献摘要

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经颅交流电刺激可以调节大脑皮层神经元的活动频率。辅助运动区的β(β)活动参与运动规划和维护,而伽马(γ)活动参与更新运动计划。我们研究了β和γ频段的TAC(β-TAC和γ-TAC)应用于SMA对双手运动性能的影响。这项研究包括32名右撇子健康受试者,在β-Tacs(20赫兹)、γ-Tacs(80赫兹)或假刺激SMA的过程中进行普渡钉板测试。每个参与者在每种刺激条件下进行了9次PPT试验。计算了每个参与者进行的9次试验的部件数及其差值的线性近似。β-Tacs条件的线性近似差与线性近似的截距呈显著正相关(p=0.007,Pearson‘s r=0.464),而γ-Tacs条件的线性近似差与线性近似截距呈显著负相关(p=0.012,Pearson’s r=-0.438)。在低绩效亚组中,γ-Tacs条件下的线性近似差值的平均值显著大于β-Tacs条件下的差值(p=0.048)。这些结果在高性能亚组(p=0.002)和假手术组(p=0.014)中正好相反。我们证明,Tacs对SMA的影响依赖于刺激频率和参与者的运动能力,并可能调节运动计划的维持和更新。
Transcranial alternating current stimulation (tACS) can regulate the frequency of neuronal activity in the cerebral cortex. Beta (β) activity in the supplementary motor area (SMA) is involved in motor planning and maintenance while gamma (γ) activity is involved in updating motor plans. We investigated the effect of tACS in the β- and γ-bands (β-tACS and γ- tACS) applied to the SMA on bimanual movement performance. This study included 32 right-handed healthy participants performing a Purdue Pegboard Test (PPT) during the administration of either β-tACS (20 Hz), γ-tACS (80 Hz), or sham stimulation over the SMA. Each participant performed nine PPT trials during each stimulation condition. The linear approximation of the number of parts and their differences for the 9 trials performed by each participant was calculated. A significant positive correlation was found between the difference from linear approximation for the β-tACS condition and the intercept of the linear approximation (p= 0.007, Pearson’s r = 0.464), and significant negative correlation was found for the γ-tACS condition (p= 0.012, Pearson’s r = -0.438). In the low-performance subgroup, the mean values of the difference from linear approximation under the γ-tACS condition was significantly larger than that under the β-tACS condition (p= 0.048). These results were opposite for the high-performance subgroup (p= 0.002) and sham group (p= 0.014). We demonstrated that the effect of tACS over the SMA depended on the stimulus frequency and the participant’s motor performance and may modulate the maintenance and updating of motor plans.