Literature DB >> 29766612

Visuomotor coordination and cortical connectivity of modular motor learning.

Pablo I Burgos1,2, Juan J Mariman1,3, Scott Makeig4, Gonzalo Rivera-Lillo1,2, Pedro E Maldonado1,5.   

Abstract

The ability to transfer sensorimotor skill components to new actions and the capacity to use skill components from whole actions are characteristic of the adaptability of the human sensorimotor system. However, behavioral evidence suggests complex limitations for transfer after combined or modular learning of motor adaptations. Also, to date, only behavioral analysis of the consequences of the modular learning has been reported, with little understanding of the sensorimotor mechanisms of control and the interaction between cortical areas. We programmed a video game with distorted kinematic and dynamic features to test the ability to combine sensorimotor skill components learned modularly (composition) and the capacity to use separate sensorimotor skill components learned in combination (decomposition). We examined motor performance, eye-hand coordination, and EEG connectivity. When tested for integrated learning, we found that combined practice initially performed better than separated practice, but differences disappeared after integrated practice. Separate learning promotes fewer anticipatory control mechanisms (depending more on feedback control), evidenced in a lower gaze leading behavior and in higher connectivity between visual and premotor domains, in comparison with the combined practice. The sensorimotor system can acquire motor modules in a separated or integrated manner. However, the system appears to require integrated practice to coordinate the adaptations with the skill learning and the networks involved in the integrated behavior. This integration seems to be related to the acquisition of anticipatory mechanism of control and with the decrement of feedback control.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  EEG; connectivity; eye movements; modularity; motor learning

Mesh:

Year:  2018        PMID: 29766612      PMCID: PMC6866623          DOI: 10.1002/hbm.24215

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  64 in total

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5.  Whole and part practice: a meta-analysis.

Authors:  Fabio E Fontana; Oldemar Mazzardo; Ovande Furtado; Jere D Gallagher
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6.  Short-term learning of a visually guided power-grip task is associated with dynamic changes in EEG oscillatory activity.

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Review 7.  Human sensorimotor learning: adaptation, skill, and beyond.

Authors:  John W Krakauer; Pietro Mazzoni
Journal:  Curr Opin Neurobiol       Date:  2011-07-20       Impact factor: 6.627

8.  Integrative visuomotor behavior is associated with interregionally coherent oscillations in the human brain.

Authors:  J Classen; C Gerloff; M Honda; M Hallett
Journal:  J Neurophysiol       Date:  1998-03       Impact factor: 2.714

9.  Real-time error detection but not error correction drives automatic visuomotor adaptation.

Authors:  Mark R Hinder; Stephan Riek; James R Tresilian; Aymar de Rugy; Richard G Carson
Journal:  Exp Brain Res       Date:  2009-10-15       Impact factor: 1.972

10.  Composition and decomposition in bimanual dynamic learning.

Authors:  Ian S Howard; James N Ingram; Daniel M Wolpert
Journal:  J Neurosci       Date:  2008-10-15       Impact factor: 6.167

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  2 in total

1.  Visuomotor coordination and cortical connectivity of modular motor learning.

Authors:  Pablo I Burgos; Juan J Mariman; Scott Makeig; Gonzalo Rivera-Lillo; Pedro E Maldonado
Journal:  Hum Brain Mapp       Date:  2018-05-15       Impact factor: 5.038

2.  Video Game Warm-Up May Suggest Improvement in Ophthalmic Surgical Simulator Performance in Surgically Naïve Students.

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  2 in total

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