Implicit guidance to stable performance in a rhythmic perceptual-motor skill

Huber, Meghan E.; Sternad, Dagmar

doi:10.1007/s00221-015-4251-7

Cited by 16 publications

(14 citation statements)

References 86 publications

(112 reference statements)

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“…Such implicit guidance has potential advantages for learning in rehabilitation populations, because it allows for development of procedural skill that does not rely on working memory mechanisms [53, 54]. For example, returning to the virtual ball bouncing task earlier described, Huber et al [55] aimed to implicitly steer learners towards the desired solution of rhythmically bouncing the ball with dynamic stability. As mentioned, dynamic stability is desirable as it obviates the need for corrections, since they die out by themselves.…”

Section: Methodsmentioning

confidence: 99%

Learning and transfer of complex motor skills in virtual reality: a perspective review

Levac

Huber

Sternad

2019

J NeuroEngineering Rehabil

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170

158

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The development of more effective rehabilitative interventions requires a better understanding of how humans learn and transfer motor skills in real-world contexts. Presently, clinicians design interventions to promote skill learning by relying on evidence from experimental paradigms involving simple tasks, such as reaching for a target. While these tasks facilitate stringent hypothesis testing in laboratory settings, the results may not shed light on performance of more complex real-world skills. In this perspective, we argue that virtual environments (VEs) are flexible, novel platforms to evaluate learning and transfer of complex skills without sacrificing experimental control. Specifically, VEs use models of real-life tasks that afford controlled experimental manipulations to measure and guide behavior with a precision that exceeds the capabilities of physical environments. This paper reviews recent insights from VE paradigms on motor learning into two pressing challenges in rehabilitation research: 1) Which training strategies in VEs promote complex skill learning? and 2) How can transfer of learning from virtual to real environments be enhanced? Defining complex skills by having nested redundancies, we outline findings on the role of movement variability in complex skill acquisition and discuss how VEs can provide novel forms of guidance to enhance learning. We review the evidence for skill transfer from virtual to real environments in typically developing and neurologically-impaired populations with a view to understanding how differences in sensory-motor information may influence learning strategies. We provide actionable suggestions for practicing clinicians and outline broad areas where more research is required. Finally, we conclude that VEs present distinctive experimental platforms to understand complex skill learning that should enable transfer from therapeutic practice to the real world.

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Section: Methodsmentioning

confidence: 99%

Learning and transfer of complex motor skills in virtual reality: a perspective review

Levac

Huber

Sternad

2019

J NeuroEngineering Rehabil

Self Cite

170

158

View full text Add to dashboard Cite

show abstract

“…Such strategy could be used to train patients with weight-bearing asymmetries. Another example of this strategy is an experiment on visually guided ball bounding in a virtual ball bouncing task [36]. In this task, hitting the ball in the particular phase of the racket cycle leads to passively stable dynamics of the task (i.e., where the task can be performed without the perceptually-demanding racket corrections to the racket position).…”

Section: Uses Of Visual Information To Alter Sensorimotor Controlmentioning

confidence: 99%

“…In this task, hitting the ball in the particular phase of the racket cycle leads to passively stable dynamics of the task (i.e., where the task can be performed without the perceptually-demanding racket corrections to the racket position). Huber and Sternad delayed visual feedback of the racket which implicitly guided the performers to hit the ball in the passively stable regime, which led to a better performance on the task [36].…”

Section: Uses Of Visual Information To Alter Sensorimotor Controlmentioning

confidence: 99%

Using visual stimuli to enhance gait control

Rhea

Kuznetsov

2017

VES

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Gait control challenges commonly coincide with vestibular dysfunction and there is a long history in using balance and gait activities to enhance functional mobility in this population. While much has been learned using traditional rehabilitation exercises, there is a new line of research emerging that is using visual stimuli in a very specific way to enhance gait control. For example, avatars can be created in an individualized manner to incorporate specific gait characteristics. The avatar could then be used as a visual stimulus to which the patient can synchronize their own gait cycle. This line of research builds upon the rich history of sensorimotor control research in which augmented sensory information (visual, haptic, or auditory) is used to probe, and even enhance, human motor control. This review paper focuses on gait control challenges in patients with vestibular dysfunction, provides a brief historical perspective on how various visual displays have been used to probe sensorimotor and gait control, and offers some recommendations for future research.

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“…The existence of functionally equivalent motor solutions could explain how two people could arrive on different solutions yet with seemingly similar performance [2,9,50,51]. Previous work has shown that individuals could learn two non-adjacent motor solutions to a task and have difficulty finding the other solution unless it is explicitly demonstrated [44,45,52]. It is not clear how many such motor solutions may provide "good enough" solutions exist for a given task [53], and whether they can differ substantially in the muscle activation patterns.…”

mentioning

confidence: 99%

The cost of being stable: Trade-offs between effort and stability across a landscape of redundant motor solutions

Sohn

Ting

2018

Preprint

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2Current musculoskeletal modeling approaches cannot account for variability in muscle activation 3 patterns seen across individuals, who may differ in motor experience, motor training, or 4 neurological health. While musculoskeletal simulations typically select muscle activation patterns 5 that minimize muscular effort, and generate unstable limb dynamics, a few studies have shown 6 that maximum-effort solutions can improve limb stability. Although humans and animals likely 7 adopt solutions between these two extremes, we lack principled methods to explore how effort 8 and stability shape how muscle activation patterns differ across individuals. Here we 9 characterized trade-offs between muscular effort and limb stability in selecting muscle activation 10 patterns for an isometric force generation task in a musculoskeletal model of the cat hindlimb. We 11 define effort as the sum of squared activation across all muscles, and limb stability by the 12 maximum real part of the eigenvalues of the linearized musculoskeletal system dynamics, with 13 more negative values being more stable. Surprisingly, stability increased rapidly with only small 14 increases in effort from the minimum-effort solution, suggesting that very small amounts of muscle 15 coactivation are beneficial for postural stability. Further, effort beyond 40% of the maximum 16 possible effort did not confer further increases in stability. We also found multiple muscle 17 activation patterns with equivalent effort and stability, which could underlie variability observed 18 across individuals with similar motor ability. Trade-off between muscle effort and limb stability 19 could underlie diversity in muscle activation patterns observed across individuals, disease, 20 learning, and rehabilitation. 31new muscle activation pattern, potentially providing a mechanism to explain individual-specific 32 muscle coordination patterns in health and disease. Finally, we provide a straightforward method 33 for improving the physiological relevance of muscle activation pattern and musculoskeletal 34 stability in simulations. 157Muscles are listed in alphabetic order.

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Implicit guidance to stable performance in a rhythmic perceptual-motor skill

Cited by 16 publications

References 86 publications

Learning and transfer of complex motor skills in virtual reality: a perspective review

Learning and transfer of complex motor skills in virtual reality: a perspective review

Using visual stimuli to enhance gait control

The cost of being stable: Trade-offs between effort and stability across a landscape of redundant motor solutions

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