Characteristics of EEG power spectra involved in the proficiency of motor learning

Hiroyuki Hamada; Wen Wen; Tsubasa Kawasaki; Atsushi Yamashita; Hajime Asama

doi:10.3389/fnins.2023.1094658

Characteristics of EEG power spectra involved in the proficiency of motor learning

Front Neurosci. 2023 Jul 10:17:1094658. doi: 10.3389/fnins.2023.1094658. eCollection 2023.

Authors

Hiroyuki Hamada¹, Wen Wen^{1

2

3}, Tsubasa Kawasaki⁴, Atsushi Yamashita^{1

5}, Hajime Asama^{1

2}

Affiliations

¹ Department of Precision Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
² Research into Artifacts, Center for Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
³ Department of Psychology, Rikkyo University, Niiza, Saitama, Japan.
⁴ Department of Physical Therapy, School of Health Sciences, Tokyo International University, Kawagoe, Saitama, Japan.
⁵ Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.

Abstract

Neuromodulation techniques for modulating brain activity can affect performance in a variety of behaviors. Techniques including transcranial alternating current stimulation and random noise stimulation can modulate neural oscillations. However, the intervention effect of neuromodulation approaches on motor learning is poor, partly because the electroencephalography (EEG) power spectra associated with the motor learning process has not yet been fully elucidated. Therefore, we investigated the characteristics of EEG power spectra in the process of motor learning in 15 right-handed healthy participants (5 females; mean age = 22.8 ± 3.0 years). The motor task was a ball-rotation task in which participants rotated two balls in the palm of their left hand. Participants performed a pre-test, the motor learning tasks, and a post-test. In the motor learning tasks, twenty 60 s trials were performed in the clockwise (CW) direction. Before and after the motor learning tasks, CW and counterclockwise (CCW; control condition) tasks were performed for 60 s each as pre- and post-tests. Therefore, CW direction was set as a motor learning task, while CCW was a test-only control task. EEG was recorded during the tests and tasks, and the power spectra in the alpha, beta, and gamma oscillations were calculated and compared between pre- and post-tests. The results showed that in the CW post-test, the power of the gamma band in the left parietal areas and the right frontal area was significantly higher than in the pre-test. In the CCW, there was no significant difference in each band at each area between the pre- and post-tests. Our findings reveal the characteristics of the EEG spectra related to the motor learning process. These results may help to establish more effective neuromodulation approaches to modifying neural oscillations in motor learning, including in rehabilitation fields.

Keywords: electroencephalogram (EEG); gamma band; motor learning; neural oscillations; neuromodulation; neurorehabilitation; power spectra; rehabilitation.