The role of visual cues in the acquisition and transfer of a voluntary postural sway task

Radhakrishnan, Saritha M.; Hatzitaki, Vassilia; Vogiannou, Athanasios; Tzovaras, Dimitrios

doi:10.1016/j.gaitpost.2010.09.010

Cited by 19 publications

(8 citation statements)

References 19 publications

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“…In the test sessions, participants were asked to bring real-time COP displacements in line with a hidden target by body sway. The target moved in seven cycles of sine curves at 0.23 Hz [15] in the vertical direction on the monitor as the COP moved for 35 s each trial. The target became visible on the monitor in synchronization with a beeping sound only when the target reached the sine-wave inflection points.…”

Section: Methodsmentioning

confidence: 99%

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Learning effects of dynamic postural control by auditory biofeedback versus visual biofeedback training

et al. 2017

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Augmented sensory biofeedback (BF) for postural control is widely used to improve postural stability. However, the effective sensory information in BF systems of motor learning for postural control is still unknown. The purpose of this study was to investigate the learning effects of visual versus auditory BF training in dynamic postural control. Eighteen healthy young adults were randomly divided into two groups (visual BF and auditory BF). In test sessions, participants were asked to bring the real-time center of pressure (COP) in line with a hidden target by body sway in the sagittal plane. The target moved in seven cycles of sine curves at 0.23Hz in the vertical direction on a monitor. In training sessions, the visual and auditory BF groups were required to change the magnitude of a visual circle and a sound, respectively, according to the distance between the COP and target in order to reach the target. The perceptual magnitudes of visual and auditory BF were equalized according to Stevens' power law. At the retention test, the auditory but not visual BF group demonstrated decreased postural performance errors in both the spatial and temporal parameters under the no-feedback condition. These findings suggest that visual BF increases the dependence on visual information to control postural performance, while auditory BF may enhance the integration of the proprioceptive sensory system, which contributes to motor learning without BF. These results suggest that auditory BF training improves motor learning of dynamic postural control.

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Section: Methodsmentioning

confidence: 99%

“…This study aimed to assess the learning effects of visual and auditory BF during standing with voluntary body sway, in reference to the study of Radhakrishnan et al [15]. The perceptual magnitudes of visual and auditory BF were equalized according to Stevens' power law [16] to compare the effects of visual and auditory BF training.…”

Section: Introductionmentioning

confidence: 99%

Learning effects of dynamic postural control by auditory biofeedback versus visual biofeedback training

et al. 2017

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“…Visually guided sway practice improves sensory re-weighting for controlling balance (Davis et al 2010), perception action coupling when avoiding an obstacle (Hatzitaki et al 2009), and shifts control of posture from a “fall” prone hip to a safer ankle strategy (Gouglidis et al 2011). However, the effectiveness of visually guided sway practice has also been questioned as there is evidence showing that the earned adaptations do not last (Shumway-Cook et al 1988), do not provide additional benefits relative to conventional training (i.e., for stroke) (Walker et al 2000; Cheng et al 2004) and do not transfer to other sensory-motor tasks (i.e., auditory guided sway) (Radhakrishnan et al 2010). …”

Section: Introductionmentioning

confidence: 99%

Aging affects postural tracking of complex visual motion cues

et al. 2016

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Postural tracking of visual motion cues improves perception–action coupling in aging, yet the nature of the visual cues to be tracked is critical for the efficacy of such a paradigm. We investigated how well healthy older (72.45 ± 4.72 years) and young (22.98 ± 2.9 years) adults can follow with their gaze and posture horizontally moving visual target cues of different degree of complexity. Participants tracked continuously for 120 s the motion of a visual target (dot) that oscillated in three different patterns: a simple periodic (simulated by a sine), a more complex (simulated by the Lorenz attractor that is deterministic displaying mathematical chaos) and an ultra-complex random (simulated by surrogating the Lorenz attractor) pattern. The degree of coupling between performance (posture and gaze) and the target motion was quantified in the spectral coherence, gain, phase and cross-approximate entropy (cross-ApEn) between signals. Sway–target coherence decreased as a function of target complexity and was lower for the older compared to the young participants when tracking the chaotic target. On the other hand, gaze–target coherence was not affected by either target complexity or age. Yet, a lower cross-ApEn value when tracking the chaotic stimulus motion revealed a more synchronous gaze–target relationship for both age groups. Results suggest limitations in online visuo-motor processing of complex motion cues and a less efficient exploitation of the body sway dynamics with age. Complex visual motion cues may provide a suitable training stimulus to improve visuo-motor integration and restore sway variability in older adults.

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“…Intentional postural tracking of visual cues is used in balance assessment [ 1 ] and rehabilitation [ 2 ] for improving visuo-motor integration through a recalibration of the sensory systems contributing to postural control [ 3 ]. The amount and type of visual information provided in the target and feedback signals determines how visuo-motor learning generalizes to other sensory-motor tasks [ 4 ]. One major concern is that the regularity of visual target motions used to guide tracking performance evokes the use of predictive mechanisms [ 5 ] with limited access to sensory-motor recalibration (perception-action) processes.…”

Section: Introductionmentioning

confidence: 99%

Postural Sway and Gaze Can Track the Complex Motion of a Visual Target

et al. 2015

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Variability is an inherent and important feature of human movement. This variability has form exhibiting a chaotic structure. Visual feedback training using regular predictive visual target motions does not take into account this essential characteristic of the human movement, and may result in task specific learning and loss of visuo-motor adaptability. In this study, we asked how well healthy young adults can track visual target cues of varying degree of complexity during whole-body swaying in the Anterior-Posterior (AP) and Medio-Lateral (ML) direction. Participants were asked to track three visual target motions: a complex (Lorenz attractor), a noise (brown) and a periodic (sine) moving target while receiving online visual feedback about their performance. Postural sway, gaze and target motion were synchronously recorded and the degree of force-target and gaze-target coupling was quantified using spectral coherence and Cross-Approximate entropy. Analysis revealed that both force-target and gaze-target coupling was sensitive to the complexity of the visual stimuli motions. Postural sway showed a higher degree of coherence with the Lorenz attractor than the brown noise or sinusoidal stimulus motion. Similarly, gaze was more synchronous with the Lorenz attractor than the brown noise and sinusoidal stimulus motion. These results were similar regardless of whether tracking was performed in the AP or ML direction. Based on the theoretical model of optimal movement variability tracking of a complex signal may provide a better stimulus to improve visuo-motor adaptation and learning in postural control.

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The role of visual cues in the acquisition and transfer of a voluntary postural sway task

Cited by 19 publications

References 19 publications

Learning effects of dynamic postural control by auditory biofeedback versus visual biofeedback training

Learning effects of dynamic postural control by auditory biofeedback versus visual biofeedback training

Aging affects postural tracking of complex visual motion cues

Postural Sway and Gaze Can Track the Complex Motion of a Visual Target

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