Literature DB >> 34388488

Training 90° bimanual coordination at high frequency yields dependence on kinesthetic information and poor performance of dyadic unimanual coordination.

Shaochen Huang1, Jacob Layer1, Derek Smith1, Geoffrey P Bingham2, Qin Zhu3.   

Abstract

Two groups of participants were trained to be proficient at performing bimanual 90° coordination either at a high (2.5 Hz) or low (0.5 Hz) frequency with both kinesthetic and visual information available. At high frequency, participants trained for twice as long to achieve performance comparable to participants training at low frequency. Participants were then paired within (low-low or high-high) or between (low-high) frequency groups to perform a visually coupled dyadic unimanual 90° coordination task, during which they were free to settle at any jointly determined frequency to synchronize their rhythmic movements. The results showed that the coordination skill was frequency-specific. For dyads with one or both members who had learned the 90° bimanual coordination at low frequency, the performance settled at a low frequency (≈0.5 Hz) with more successfully synchronized trials. For dyads with both members who had learned the 90° bimanual coordination at high frequency, they struggled with the task and performed poorly. The dyadic coordination settled at a higher frequency (≈1.5 Hz) on average, but with twice the variability in settling frequency and significantly fewer synchronized trials. The difference between the dyadic coordination and bimanual tasks was that only visual information was available to couple the movements in the former while both kinesthetic and visual information were available in the latter. Therefore, the high frequency group must have relied on kinesthetic information to perform both coordination tasks while the low frequency group was well able to use visual information for both. In the mixed training pairs, the low frequency trained member of the pair was likely responsible for the better performance. These conclusions were consistent with results of previous studies.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bimanual coordination; Dyadic coordination; Information modality; Movement frequency; Perceptual-motor learning

Mesh:

Year:  2021        PMID: 34388488      PMCID: PMC8453090          DOI: 10.1016/j.humov.2021.102855

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.397


  9 in total

1.  The learning of 90° continuous relative phase with and without Lissajous feedback: external and internally generated bimanual coordination.

Authors:  Attila J Kovacs; Charles H Shea
Journal:  Acta Psychol (Amst)       Date:  2011-01-08

2.  Advantage of Early Focus on Visual Information in Bi-Modal Training of Bimanual Coordination.

Authors:  Shaochen Huang; Boyi Dai; Qin Zhu
Journal:  Multisens Res       Date:  2019-01-01       Impact factor: 2.286

3.  When kinesthetic information is neglected in learning a Novel bimanual rhythmic coordination.

Authors:  Qin Zhu; Todd Mirich; Shaochen Huang; Winona Snapp-Childs; Geoffrey P Bingham
Journal:  Atten Percept Psychophys       Date:  2017-08       Impact factor: 2.199

4.  Information about relative phase in bimanual coordination is modality specific (not amodal), but kinesthesis and vision can teach one another.

Authors:  Geoffrey P Bingham; Winona Snapp-Childs; Qin Zhu
Journal:  Hum Mov Sci       Date:  2018-05-28       Impact factor: 2.161

5.  The role of intentionality in the performance of a learned 90° bimanual rhythmic coordination during frequency scaling: data and model.

Authors:  Rachel A Herth; Qin Zhu; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2021-08-07       Impact factor: 1.972

6.  Using visual and/or kinesthetic information to stabilize intrinsic bimanual coordination patterns is a function of movement frequency.

Authors:  Shaochen Huang; Breton Van Syoc; Ruonan Yang; Taylor Kuehn; Derek Smith; Qin Zhu
Journal:  Psychol Res       Date:  2020-01-27

7.  Transfer of learning between unimanual and bimanual rhythmic movement coordination: transfer is a function of the task dynamic.

Authors:  Winona Snapp-Childs; Andrew D Wilson; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2015-05-01       Impact factor: 1.972

8.  Learning a coordinated rhythmic movement with task-appropriate coordination feedback.

Authors:  Andrew D Wilson; Winona Snapp-Childs; Rachel Coats; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2010-08-12       Impact factor: 1.972

9.  Bimanual Coordination Learning with Different Augmented Feedback Modalities and Information Types.

Authors:  Shiau-Chuen Chiou; Erik Chihhung Chang
Journal:  PLoS One       Date:  2016-02-19       Impact factor: 3.240

  9 in total

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