Recent Trends for Auditory-Motor Synchronization (AMS) and Related Development

Auditory-Motor Synchronization (AMS) has recently attracted attention. It coordinates motor actions with rhythmic auditory stimuli, applying to dancing, running, playing music, communicating, and conversations. Several brain regions are involved in this mechanism, such as the primary motor cortex (M1), supplementary motor area (SMA), premotor area (PMA), and basal ganglia. Temporal prediction and timing control are necessary for AMS execution. Medical applications include Parkinson’s disease (PD) and stroke cases for rhythmic auditory stimulation (RAS). Future developments in collaboration with artificial intelligence (AI) are expected. AI can learn human AMS patterns and allow robots to synchronize similar movements with more natural micro-movements.

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Publication Details

Journal
Journal of Health Care and Research
Published
2025-02-22
DOI
https://doi.org/10.36502/2025/hcr.6241
Primary Topic
Neuroscience and Music Perception
Type
article
Field-Weighted Citation Impact
0.00
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article

Recent Trends for Auditory-Motor Synchronization (AMS) and Related Development

Hiroshi Bando, Akiyo Yoshioka, Yu Nishikiori
Journal of Health Care and Research
Neuroscience and Music Perception
article

Recent Trends for Auditory-Motor Synchronization (AMS) and Related Development

Hiroshi Bando, Akiyo Yoshioka, Yu Nishikiori
article en

Abstract

Auditory-Motor Synchronization (AMS) has recently attracted attention. It coordinates motor actions with rhythmic auditory stimuli, applying to dancing, running, playing music, communicating, and conversations. Several brain regions are involved in this mechanism, such as the primary motor cortex (M1), supplementary motor area (SMA), premotor area (PMA), and basal ganglia. Temporal prediction and timing control are necessary for AMS execution. Medical applications include Parkinson’s disease (PD) and stroke cases for rhythmic auditory stimulation (RAS). Future developments in collaboration with artificial intelligence (AI) are expected. AI can learn human AMS patterns and allow robots to synchronize similar movements with more natural micro-movements.

Journal of Health Care and ResearchVol. 6(1)
Shikoku (Japan) (JP), Tokushima University (JP)
Openalex Percentile: Top 92%
Neuroscience and Music Perception
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