Literature DB >> 31056502

Neurophysiological Correlates of Gait Retraining With Real-Time Visual and Auditory Feedback.

Winko W An, Kin-Hung Ting, Ivan P H Au, Janet H Zhang, Zoe Y S Chan, Irene S Davis, Winnie K Y So, Rosa H M Chan, Roy T H Cheung.   

Abstract

Most people acquire motor skills through feedback-based training. How the human brain processes sensory feedbacks during training, especially in a gait training, remain largely unclear. The purpose of this paper is to explore how humans adopt a new gait pattern to reduce impacts during walking-with the aid of visual and audio feedbacks. This paper demonstrates the features of underlying brain activity in incorporating the visual or auditory cues to acquire a new gait pattern. Electroencephalography (EEG) and peak positive acceleration (PPA) of the heel were collected from 23 participants during walking on a treadmill with no feedback, with visual feedback, or with audio feedback. The feedbacks were presented after each foot strike, where a sub-threshold PPA triggered a positive feedback (green/low-pitched), and a suprathreshold PPA triggered a negative feedback (red/high-pitched). The participants were instructed to voluntarily control their gait, so that low PPA could be achieved. This control was perturbed in some sessions by an additional cognitive task, and the influence of such distraction was also explored. The PPA was significantly lower in the sessions with visual or audio feedback than in sessions without feedback, showing an immediate improvement in gait pattern, when the feedback was provided. Different feedbacks modulated neural activities at different locations and/or levels during training. Alpha event-related synchronization (ERS) was particularly increased during the encoding of auditory feedback or the introduction of a distracting task. In the meantime, prominent frontal and posterior theta ERS were coupled with negative feedback, and strong beta event-related desynchronization (ERD) was observed only in sessions with feedbacks. Our results indicate that feedback effectively enhances motor planning when acquiring a new gait.

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Year:  2019        PMID: 31056502     DOI: 10.1109/TNSRE.2019.2914187

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  5 in total

1.  Fluid Cognitive Abilities Are Important for Learning and Retention of a New, Explicitly Learned Walking Pattern in Individuals After Stroke.

Authors:  Margaret A French; Matthew L Cohen; Ryan T Pohlig; Darcy S Reisman
Journal:  Neurorehabil Neural Repair       Date:  2021-03-23       Impact factor: 3.919

2.  Learning Gait Modifications for Musculoskeletal Rehabilitation: Applying Motor Learning Principles to Improve Research and Clinical Implementation.

Authors:  Jesse M Charlton; Janice J Eng; Linda C Li; Michael A Hunt
Journal:  Phys Ther       Date:  2021-02-04

3.  Effects of Wearable Devices with Biofeedback on Biomechanical Performance of Running-A Systematic Review.

Authors:  Alexandra Giraldo-Pedroza; Winson Chiu-Chun Lee; Wing-Kai Lam; Robyn Coman; Gursel Alici
Journal:  Sensors (Basel)       Date:  2020-11-19       Impact factor: 3.576

Review 4.  Review of Real-Time Biomechanical Feedback Systems in Sport and Rehabilitation.

Authors:  Matevž Hribernik; Anton Umek; Sašo Tomažič; Anton Kos
Journal:  Sensors (Basel)       Date:  2022-04-14       Impact factor: 3.847

5.  Frequency-dependent modulation of neural oscillations across the gait cycle.

Authors:  Mingqi Zhao; Gaia Bonassi; Jessica Samogin; Gaia Amaranta Taberna; Elisa Pelosin; Alice Nieuwboer; Laura Avanzino; Dante Mantini
Journal:  Hum Brain Mapp       Date:  2022-04-06       Impact factor: 5.399

  5 in total

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