Individualised performance in a whole-body motor sequence learning task.Russell Weili Chan1, Aaron Likens2, Raoul Bongers3, Willem B. Verwey11Faculty of Behavioural, Management and Social Sciences, University of Twente, The Netherlands; 2Department of Biomechanics, University of Nebraska Omaha, United States; 3Faculty of Medical Sciences, University of Groningen, The Netherlands; r.w.chan@utwente.nlFundamental research in motor sequence learning has typically relied on the use of fingers to uncover neurocognitive mechanisms. In recent years, there has been a shift towards more whole-body tasks to truly understand the ‘motor’ aspect of sequence learning. In the current proposed research, we will utilize a successfully ported whole-body version of a popular sequence learning paradigm called the Discrete Sequence Performance (coined Body-DSP) task. We plan to vary the difficulty of the Body-DSP task using different sequence lengths from 6-12-18 items to determine if participants use different strategies to perform the task due to individual limitations in working memory. We predict that if this is true, then different concatenation points (items whereby response times are slower) will arise between participants. This will also be coupled with higher cortical activations for participants who learn the sequence more poorly than those who learn the sequence better. Our goal of this research is to unravel both neurocognitive and behavioural differences at an individual level with the long-term goal of providing idiosyncratic training approaches.ID: 143Topics: Methods : EEG/iEEG/(OP)MEG, mocap, eyetracking, electrophysiology, Methods : Analysis / validation of multimodal data, Cognitive-motor interaction (gait, dual task), Other
Keywords: Motor sequence learning, non-linear dynamics, EEG, kinematics, neurocognitive
Keywords: Motor sequence learning, non-linear dynamics, EEG, kinematics, neurocognitive