Accuracy instructions differently modulate visual and nonvisual contributions to ongoing reaches.

Grosbois, John de; Jovanov, Kimberely; Tremblay, Luc

doi:10.1037/cep0000162

Cited by 3 publications

(3 citation statements)

References 62 publications

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“…Vision is dominant for visually-guided upper limb and precision motor behaviors [29][30][31], though secondary sources also contribute to the re nement of behavioral output [52,53], consistent with our nding that TD controls showed increased force variability when proprioception was inaccurate. Individuals with ASD and TD controls showed similar changes in force variability when visual feedback was manipulated demonstrating that both groups used the primary feedback source during precision gripping.…”

Section: Sensory Feedback Processing During Motor Behavior In Asdsupporting

confidence: 89%

“…To test this hypothesis, the present study manipulated visual and proprioceptive feedback within a visually guided precision gripping task to assess how each feedback source in uenced motor control in individuals with ASD. The precision gripping test used here involves continuous visual feedback, which has been shown to be the primary sensory feedback source for online control of visually-guided upper limb movements [29][30][31]. We expected individuals with ASD would show increased variability and regularity during precision gripping relative to controls, especially when visual (primary) feedback was enhanced or degraded.…”

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confidence: 99%

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Visual and proprioceptive feedback mechanisms of precision manual motor control in autism spectrum disorder

Shafer¹,

Wang²,

Bartolotti³

et al. 2021

Preprint

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Background Individuals with Autism Spectrum Disorder (ASD) show deficits processing sensory feedback to reactively adjust ongoing motor behaviors. Atypical reliance on visual and proprioceptive feedback each have been reported during motor behaviors in ASD suggesting that impairments are not specific to one sensory domain but may instead reflect a deficit in multisensory processing, resulting in reliance on unimodal feedback. The present study tested this hypothesis by examining motor behavior across different visual and proprioceptive feedback conditions during a visually guided precision grip force test. Methods Participants with ASD (N = 43) and age-matched typically developing (TD) controls (N = 23), range 10–20 years, completed a test of precision gripping. They pressed on force sensors with their index finger and thumb while receiving visual feedback on a computer screen in the form of a horizontal bar that moved upwards with increased force. They were instructed to press so that the bar reached the level of a static target bar and then to hold their grip force as steadily as possible. Visual feedback was manipulated by changing the gain of the force bar. Proprioceptive feedback was manipulated by applying 80 Hz tendon vibration at the wrist to induce an illusion of muscle elongation. Force variability (standard deviation) and irregularity (sample entropy) were examined using multilevel linear models. Results While TD controls showed increased force variability with the tendon vibration on compared to off, individuals with ASD showed similar levels of force variability across tendon vibration conditions. Individuals with ASD showed stronger age-associated reductions in force variability relative to controls across conditions. The ASD group also showed greater age-associated increases in force irregularity relative to controls, especially at higher gain levels and when the tendon vibrator was turned on. Conclusions Our findings that individuals with ASD show similar levels of force variability and regularity during induced proprioceptive illusions suggest a reduced ability to integrate proprioceptive feedback information to guide ongoing precision manual motor behavior. We also document stronger age-associated gains in force control in ASD relative to TD suggesting delayed development of multisensory feedback control of motor behavior.

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Section: Sensory Feedback Processing During Motor Behavior In Asdsupporting

confidence: 89%

mentioning

confidence: 99%

Visual and proprioceptive feedback mechanisms of precision manual motor control in autism spectrum disorder

Shafer¹,

Wang²,

Bartolotti³

et al. 2021

Preprint

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show abstract

“…The time-series data for each mallet during each session (i.e., S1, S2, and S3) were converted into a frequency-domain representation using the pwelch method (i.e., relative peak power). Relative peak power reflects the relative amplitude of a particular rate of motion in the acceleration profile and has been utilised to study sensorimotor control of reaching movements (i.e., de Grosbois and Tremblay, 2016 , 2018 ; de Grosbois et al, 2019 ). In this frequency domain representation, greater peak power values are indicative of high temporal control.…”

Section: Introductionmentioning

confidence: 99%

Temporospatial Alterations in Upper-Limb and Mallet Control Underlie Motor Learning in Marimba Performance

et al. 2022

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Sound-producing movements in percussion performance require a high degree of fine motor control. However, there remains a relatively limited empirical understanding of how performance level abilities develop in percussion performance in general, and marimba performance specifically. To address this issue, nine percussionists performed individualised excerpts on marimba within three testing sessions spaced 29 days apart to assess early, intermediate, and late stages of motor learning. Motor learning was quantified via analyses of both the temporal control of mallet movements, and the spatial variability of upper-limb movements. The results showed that temporal control of mallet movements was greater in the intermediate compared to the early learning session, with no significant additional improvements revealed in the late learning session. In addition, spatial variability in the left and right elbows decreased within the intermediate compared to the early learning session. The results suggest that temporal control of mallet movements may be driven by reductions in spatial variability of elbow movements specifically. As a result, this study provides novel evidence for kinematic mechanisms underlying motor learning in percussion which can be applied towards enhancing musical training.

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Visual and somatosensory feedback mechanisms of precision manual motor control in autism spectrum disorder

Shafer

Wang

Bartolotti

et al. 2021

J Neurodevelop Disord

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Background Individuals with autism spectrum disorder (ASD) show deficits processing sensory feedback to reactively adjust ongoing motor behaviors. Atypical reliance on visual and somatosensory feedback each have been reported during motor behaviors in ASD suggesting that impairments are not specific to one sensory domain but may instead reflect a deficit in multisensory processing, resulting in reliance on unimodal feedback. The present study tested this hypothesis by examining motor behavior across different visual and somatosensory feedback conditions during a visually guided precision grip force test. Methods Participants with ASD (N = 43) and age-matched typically developing (TD) controls (N = 23), ages 10–20 years, completed a test of precision gripping. They pressed on force transducers with their index finger and thumb while receiving visual feedback on a computer screen in the form of a horizontal bar that moved upwards with increased force. They were instructed to press so that the bar reached the level of a static target bar and then to hold their grip force as steadily as possible. Visual feedback was manipulated by changing the gain of the force bar. Somatosensory feedback was manipulated by applying 80 Hz tendon vibration at the wrist to disrupt the somatosensory percept. Force variability (standard deviation) and irregularity (sample entropy) were examined using multilevel linear models. Results While TD controls showed increased force variability with the tendon vibration on compared to off, individuals with ASD showed similar levels of force variability across tendon vibration conditions. Individuals with ASD showed stronger age-associated reductions in force variability relative to controls across conditions. The ASD group also showed greater age-associated increases in force irregularity relative to controls, especially at higher gain levels and when the tendon vibrator was turned on. Conclusions Our findings that disrupting somatosensory feedback did not contribute to changes in force variability or regularity among individuals with ASD suggests a reduced ability to integrate somatosensory feedback information to guide ongoing precision manual motor behavior. We also document stronger age-associated gains in force control in ASD relative to TD suggesting delayed development of multisensory feedback control of motor behavior.

show abstract

Accuracy instructions differently modulate visual and nonvisual contributions to ongoing reaches.

Cited by 3 publications

References 62 publications

Visual and proprioceptive feedback mechanisms of precision manual motor control in autism spectrum disorder

Visual and proprioceptive feedback mechanisms of precision manual motor control in autism spectrum disorder

Temporospatial Alterations in Upper-Limb and Mallet Control Underlie Motor Learning in Marimba Performance

Visual and somatosensory feedback mechanisms of precision manual motor control in autism spectrum disorder

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