ArticleFrontiers in neuroscience2023
Characteristics of EEG power spectra involved in the proficiency of motor learning.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Oscillatory dynamics of motor learning across adulthood life span: a systematic review.Frontiers in aging neuroscience · 2025Pooled it
- Transcutaneous auricular vagus nerve stimulation during short-term motor practice drives cortical plasticity without behavioural improvement.The Journal of physiology · 2026Trial
- Regulation of Somatosensory Temporal Discrimination Threshold Through Motor Training: An EEG and Kinematics Study.CNS neuroscience & therapeutics · 2025Trial
- Exploring the relationship between somatosensory-evoked potentials, resting-state theta power, and acute balance performance.Scientific reports · 2025Article
- ESENA: A Novel Spatiotemporal Event Network Information Approach for Mining Scalp EEG Data.Brain and behavior · 2025Article
- Exploring the Impact of Declarative Learning on the Consolidation of Acquired Motor Skills Under Valence Feedback.Human brain mapping · 2025Article
- What Does It Take to Play the Piano? Cognito-Motor Functions Underlying Motor Learning in Older Adults.Brain sciences · 2024Article
- Graph neural network based on brain inspired forward-forward mechanism for motor imagery classification in brain-computer interfaces.Frontiers in neuroscience · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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