A major challenge in motor neuroscience is to understand the dynamics of motor learning and sequence acquisition in naturalistic settings beyond keyboard pressing tasks. A great deal of theory has been derived from established paradigms like the Discrete Sequence Production (DSP) task, yet it is largely unknown if applications beyond keyboard responses are feasible. In addition, further understanding of whole-body motor learning tasks would unravel other dimensions of motor coordination dynamics that contribute to learning. This leads to richer understanding of preparation, decision making, movement execution and optimisation processes when learning motor sequences. The current protocol describes how to conduct a modified DSP task by dance-stepping, allowing the study of whole-body dynamics. Firstly, we provide the necessary program in an E-Prime® script for replication and the DSP task is presented in a go/no-go method to further elucidate motor-specific execution. We explain a basic variant of the experiment with minimal and commercially available hardware, then scale the research possibilities and outline the integration of the Xsens motion capture systems for measuring kinematic variables like centre of mass displacement/ velocity changes. The additional measures allow researchers to investigate relationships between response times and movement kinematics for insight to learning processes. We showcase representative results to highlight possible ways data could be modelled. Finally, we cover the future opportunities and limitations of using such an approach. The goal is to make the experiment accessible for others to conduct that is supported by a publicly available video of the experimental procedure.
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