Consolidation of use-dependent motor memories induced by passive movement training

Tays, Grant D.; Bao, Shancheng; Javidialsaadi, Mousa; Wang, Jinsung

doi:10.1016/j.neulet.2020.135080

Cited by 7 publications

(11 citation statements)

References 31 publications

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“…To do this, we used a state-space model to interpret how motor adaptation is altered due to passive proprioceptive memory. Consistent with earlier work (Lei et al, 2016; Bao et al, 2017; Lei et al, 2017; Tays et al, 2020) we observed that passive training facilitated active motor adaptation. In each experimental group, the robot moved the arm passively in the direction that solved the upcoming rotation, but no visual feedback was provided.…”

Section: Discussionsupporting

confidence: 93%

“…In addition, though this robotic intervention created proprioceptive errors during the passive period, the ultimate hand position provided the solution to the upcoming visual rotation. As in earlier studies, we observed that this manipulation facilitated active motor learning (Lei et al, 2016; Bao et al, 2017; Lei et al, 2017; Tays et al, 2020). When we applied a standard single-module state-space model to these data, the model predicted that improvements in learning were driven by changes in error sensitivity, not retention rates.…”

Section: Introductionsupporting

confidence: 87%

“…Recent studies have suggested that passively experiencing a visuomotor perturbation results in learning which transfers to active movement (Lei et al, 2016; Bao et al, 2017; Lei et al, 2017; Tays et al, 2020). That is, even the passive experience of a sensorimotor perturbation might be effective in altering subsequent motor skills.…”

Section: Introductionmentioning

confidence: 99%

“…For example, recent studies using robot-assisted motor experiences suggest that passive robotic interventions can facilitate the acquisition of novel motor skills (Reinkensmeyer and Patton, 2009; Bara and Gentaz, 2011; Basteris et al, 2012; Beets et al, 2012) and might also improve motor function in hemiparetic stroke patients (Aisen et al, 1997; Krebs et al, 1998; Riener et al, 2005; Kahn et al, 2006; Vergaro et al, 2010). Yet, while passive experience may help to facilitate motor recovery (Sakamoto et al, 2012; Tays et al, 2020), little is known regarding how these passive experiences cause learning, and how this learning is expressed during active movement.…”

Section: Introductionmentioning

confidence: 99%

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A conversion from slow to fast memory in response to passive motion

Javidialsaadi

Wang

2021

Preprint

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When the same perturbation is experienced consecutively, learning is accelerated on the second attempt. This savings is a central property of sensorimotor adaptation. Current models suggest that these improvements in learning are due to changes in the brain's sensitivity to error. Here, we tested whether these increases in error sensitivity could be facilitated by passive movement experiences. In each experimental group, the robot moved the arm passively in the direction that solved the upcoming rotation, but no visual feedback was provided. Then, following a break in time, participants adapted to a visuomotor rotation. Prior passive movements substantially improved motor learning, increasing total compensation in each group by approximately 30%. Similar to savings, a state-space model suggested that this improvement in learning was due to an increase in error sensitivity, but not memory retention. Thus, passive memories appeared to increase the motor learning system's sensitivity to error. However, some features in the observed behavior were not captured by this model, nor by similar empirical models, which assumed that learning was due a single exponential process. When we considered the possibility that learning was supported by parallel fast and slow adaptive processes, a striking pattern emerged; whereas initial improvements in learning were driven by a slower adaptive state, increases in error sensitivity gradually transferred to a faster learning system with the passage of time.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A conversion from slow to fast memory in response to passive motion

Javidialsaadi

Wang

2021

Preprint

Self Cite

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“…Cross-sensory exposure training involves either passively moving the unseen hand or using a force-channel that deviates its direction, while the cursor moves directly to a target. Despite minimizing the motor or efferent signals involved, this passive exposure to a discrepancy between seen and felt hand location leads to similar or smaller but significant reach aftereffects (Cressman & Henriques, 2010; Mostafa, ’t Hart, & Henriques, 2019; Ruttle, ’t Hart, & Henriques, 2018; Salomonczyk, Cressman, & Henriques, 2013) and can facilitate subsequent adaptation to the same perturbation in a classic visuomotor paradigm (Bao, Lei, & Wang, 2017; Sakamoto & Kondo, 2015; Tays, Bao, Javidialsaadi, & Wang, 2020). Not surprisingly, such training also leads to changes in hand localization, which are similar in size to those elicited when the reaches are self-generated during classical visuomotor adaptation.…”

Section: Introductionmentioning

confidence: 99%

Reduced feedback barely slows down proprioceptive recalibration

Ruttle

Hart

Henriques

2022

Preprint

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Introducing altered visual feedback of the hand results in quick adaptation of reaching movements. And while this may be partly due to explicit strategies, our lab has shown that implicit changes like reach aftereffects and shift in estimates of the unseen hand, can also emerge and even saturate within a few training trials. The goal of the current study is to determine whether these rapid changes in unseen hand position that occur during classical visuomotor adaptation are diminished or slowed when feedback during training is reduced. We reduced feedback by either providing visual feedback only at the end of the reach (terminal feedback) or constraining hand movements to reduce efferent contribution (exposure). We measured changes as participants completed reaches with a 30° rotation, a -30° rotation and clamped visual feedback, with these two impoverished training conditions, along with classical visuomotor adaptation training, while continuously estimating their felt hand position. Classic continuous-cursor training produced exemplary learning curves and rapid and robust shifts in felt hand position. Training with terminal feedback slightly reduced the initial rate of change in overall adaptation and but not the magnitude of shifts in felt hand position. Finally using a robot to constrain and deviate hand movement direction, called exposure training, only delayed saturation of proprioceptive changes by a single trial and these changes were slightly smaller than those during classical training. Taken together, adaptation and shifts in felt hand position are a rapid and robust responses to sensory mismatches and are only slightly modulated when feedback is reduced. This means that, given a visuo-proprioceptive mismatch, the resulting shift in sense of limb position can contribute to movements from the start of adaptation.

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Facilitative effects of use-dependent learning on interlimb transfer of visuomotor adaptation in a person with congenital mirror movements

Javidialsaadi²,

Wang³

2022

Human Movement Science

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Consolidation of use-dependent motor memories induced by passive movement training

Cited by 7 publications

References 31 publications

A conversion from slow to fast memory in response to passive motion

A conversion from slow to fast memory in response to passive motion

Reduced feedback barely slows down proprioceptive recalibration

Facilitative effects of use-dependent learning on interlimb transfer of visuomotor adaptation in a person with congenital mirror movements

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