Literature DB >> 22411579

Effects of implicit visual feedback distortion on human gait.

Seung-Jae Kim1, Hermano Igo Krebs.   

Abstract

Gait rehabilitation after stroke often utilizes treadmill training delivered by either therapists or robotic devices. However, clinical results have shown no benefit from this modality when compared to usual care. On the contrary, results were inferior; perhaps, because in its present form it is not interactive and at least for stroke, central pattern generators at the spinal level do not appear to be the key to promote recovery. To enable gait therapy to be more effective, therapy must be interactive and visual feedback appears to be an important option to engage patients' participation. In this study, we tested healthy subjects to see whether an implicit "visual feedback distortion" influences gait spatial pattern. Subjects were not aware of the visual distortion nor did they realize changes in their gait pattern. The visual feedback of step length symmetry was distorted so that subjects perceived their step length as being asymmetric during treadmill training. We found that a gradual distortion of visual feedback, without explicit knowledge of the manipulation, systematically modulated gait step length away from symmetry and that the visual distortion effect was robust even in the presence of cognitive load. This indicates that although the visual feedback display used in this study did not create a conscious and vivid sensation of self-motion (the properties of the optical flow), experimental modifications of visual information of subjects' movement were found to cause implicit gait modulation. Nevertheless, our results indicate that modulation with visual distortion may require cognitive resources because during the distraction task, the amount of gait modulation was reduced. Our results suggest that a therapeutic program involving visual feedback distortion, in the context of gait rehabilitation, may provide an effective way to help subjects correct gait patterns, thereby improving the outcome of rehabilitation.

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Year:  2012        PMID: 22411579      PMCID: PMC3376719          DOI: 10.1007/s00221-012-3044-5

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  31 in total

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Review 4.  Spinal cord pattern generators for locomotion.

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Journal:  Hum Factors       Date:  2007-08       Impact factor: 2.888

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Authors:  T George Hornby; Donielle D Campbell; Jennifer H Kahn; Tobey Demott; Jennifer L Moore; Heidi R Roth
Journal:  Stroke       Date:  2008-05-08       Impact factor: 7.914

8.  Visual influence on human locomotion. Modulation to changes in optic flow.

Authors:  T Prokop; M Schubert; W Berger
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Authors:  Jeffrey M Hausdorff; Galit Yogev; Shmuel Springer; Ely S Simon; Nir Giladi
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Review 10.  Locomotor activity in spinal cord-injured persons.

Authors:  V Dietz; Susan J Harkema
Journal:  J Appl Physiol (1985)       Date:  2004-05
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  13 in total

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3.  A locomotor learning paradigm using distorted visual feedback elicits strategic learning.

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4.  MIT-Skywalker: A Novel Gait Neurorehabilitation Robot for Stroke and Cerebral Palsy.

Authors:  Tyler Susko; Krithika Swaminathan; Hermano Igo Krebs
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5.  Use-dependent plasticity explains aftereffects in visually guided locomotor learning of a novel step length asymmetry.

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6.  Visuomotor errors drive step length and step time adaptation during 'virtual' split-belt walking: the effects of reinforcement feedback.

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7.  Effect of blocked vision treadmill training on knee joint proprioception of patients with chronic stroke.

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Journal:  J Phys Ther Sci       Date:  2015-03-31

8.  Developing a Low-Cost Force Treadmill via Dynamic Modeling.

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Review 9.  Virtual sensory feedback for gait improvement in neurological patients.

Authors:  Yoram Baram
Journal:  Front Neurol       Date:  2013-10-14       Impact factor: 4.003

10.  Effect of explicit visual feedback distortion on human gait.

Authors:  Seung-Jae Kim; Dieudonne Mugisha
Journal:  J Neuroeng Rehabil       Date:  2014-04-28       Impact factor: 4.262

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