Event Abstract Back to Event Multimodal Brain Imaging of Motor Sequence Learning YunYing Huang1, Chun-Yu Tse2 and Trevor Penney3* 1 University of Oxford, Nuffield Department of Clinical Neurosciences, Functional MRI of the Brain, UK 2 The Chinese University of Hong Kong, Department of Psychology & Center for Cognition and Brain Studies, China 3 National University of Singapore, Department of Psychology & LSI Neurobiology/Aging Programme, Singapore Motor skill learning is characterized by rapid initial performance gains, then a period of slower, steady improvement, and finally asymptotic performance that entails task automaticity. The current study investigated functional brain reorganization during multiple-session learning of a motor sequence task. Functional near-infrared spectroscopy (fNIRS) was recorded to investigate hemodynamic changes in the execution phase of the task. In addition, electroencephalography (EEG) was measured to examine changes in event-related desynchronization (ERD) of the mu rhythm at the C3 and C4 electrodes during both planning and execution phases. Participants (N=14) learned a finger tapping task in seven sessions and brain responses were recorded in Sessions 1, 2, 4, and 7. In each trial, a cue indicated whether participants should prepare for the trained or a random sequence, and then participants completed visually-paced sequence execution. In addition, a dual-task paradigm with a secondary tone-counting task in addition to sequence execution was used to examine task automaticity. Accuracy and RT measures revealed typical motor sequence learning of the trained sequence, including an increase in automaticity from Session 4 to 7 in comparison with the random sequence. fNIRS showed bilateral M1 activation in early learning stages. A linear trend analysis of the fNIRS data revealed decreasing activation in right M1 across sessions. There was also an inverse-quadratic trend (inverted U-shaped) in SMA, right DLPFC, and left M1. Analyses of ERD revealed a quadratic trend in C4 during preparation and in C3 during execution. Hence, brain activation in primary and secondary motor regions initially increases with learning, but this is followed by widespread reduction with automaticity for both motor preparation and execution. Keywords: EEG, ERD, fNIRS, motor sequence learning, mu rhythm Conference: XII International Conference on Cognitive Neuroscience (ICON-XII), Brisbane, Queensland, Australia, 27 Jul - 31 Jul, 2014. Presentation Type: Poster Topic: Memory and Learning Citation: Huang Y, Tse C and Penney T (2015). Multimodal Brain Imaging of Motor Sequence Learning. Conference Abstract: XII International Conference on Cognitive Neuroscience (ICON-XII). doi: 10.3389/conf.fnhum.2015.217.00193 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 19 Feb 2015; Published Online: 24 Apr 2015. * Correspondence: Prof. Trevor Penney, National University of Singapore, Department of Psychology & LSI Neurobiology/Aging Programme, Singapore, Singapore, penney@cuhk.edu.hk Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers YunYing Huang Chun-Yu Tse Trevor Penney Google YunYing Huang Chun-Yu Tse Trevor Penney Google Scholar YunYing Huang Chun-Yu Tse Trevor Penney PubMed YunYing Huang Chun-Yu Tse Trevor Penney Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.