Motor skill learning provides a powerful framework for understanding brain plasticity and how cortical and subcortical networks reorganize through experience. Insights into these neural dynamics are essential for advancing neurorehabilitation strategies for individuals recovering from stroke or living with degenerative disorders such as Parkinson’s disease. They also inform the optimization of training protocols in sports, education, and other performance-based fields.

This proposed JoVE Topical Collection, Neural Dynamics Supporting Human Motor Skill Learning, will serve as a visual resource presenting gold-standard experimental and analytical protocols for capturing the brain’s dynamic changes as humans acquire, consolidate, and retain new motor memories. Featured video-based methodologies will span non-invasive neuroimaging and neuromodulation techniques, including electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and transcranial magnetic stimulation (TMS). Protocols will address the synchronized design, implementation, and analysis of motor learning paradigms such as sequence learning and visuomotor adaptation.

The primary objective of this collection is to establish standardized, visually guided methodologies for investigating the neural basis of motor learning. It will provide step-by-step demonstrations that integrate behavioral task design with advanced analytical approaches, including functional connectivity analysis and computational modeling of neural networks. By visually clarifying complex experimental workflows, the collection aims to enhance methodological rigor, increase transparency, and improve reproducibility across laboratories. Ultimately, it will support researchers in adopting and integrating powerful neuroimaging tools into the study of motor skill learning.