ArticleFrontiers in human neuroscience2017
Variations in Static Force Control and Motor Unit Behavior with Error Amplification Feedback in the Elderly.
Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Wavelet Coherence Analysis of Post-Stroke Intermuscular Coupling Modulated by Myoelectric-Controlled Interfaces.Bioengineering (Basel, Switzerland) · 2024Article
- Visual feedback and declines in attention are associated with altered visual strategy during a force-steadiness task in older adults.Journal of neurophysiology · 2023Article
- Failure to improve task performance after visuomotor training with error reduction feedback for young adults.Frontiers in physiology · 2023Article
- Cortical reorganization to improve dynamic balance control with error amplification feedback.Journal of neuroengineering and rehabilitation · 2022Article
- Unilateral hand force control impairments in older women.EXCLI journal · 2022Article
- Fatigue-related modulation of low-frequency common drive to motor units.European journal of applied physiology · 2020Article
- Age-related deficits in bilateral motor synergies and force coordination.BMC geriatrics · 2019Article
- Improving Precision Force Control With Low-Frequency Error Amplification Feedback: Behavioral and Neurophysiological Mechanisms.Frontiers in physiology · 2019Article
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Authors and funding
5 authors.
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Abstract
Error amplification (EA) feedback is a promising approach to advance visuomotor skill. As error detection and visuomotor processing at short time scales decline with age, this study examined whether older adults could benefit from EA feedback that included higher-frequency information to guide a force-tracking task. Fourteen young and 14 older adults performed low-level static isometric force-tracking with visual guidance of typical visual feedback and EA feedback containing augmented high-frequency errors. Stabilogram diffusion analysis was used to characterize force fluctuation dynamics. Also, the discharge behaviors of motor units and pooled motor unit coherence were assessed following the decomposition of multi-channel surface electromyography (EMG). EA produced different behavioral and neurophysiological impacts on young and older adults. Older adults exhibited inferior task accuracy with EA feedback than with typical visual feedback, but not young adults. Although stabilogram diffusion analysis revealed that EA led to a significant decrease in critical time points for both groups, EA potentiated the critical point of force fluctuations [Formula: see text], short-term effective diffusion coefficients (Ds), and short-term exponent scaling only for the older adults. Moreover, in older adults, EA added to the size of discharge variability of motor units and discharge regularity of cumulative discharge rate, but suppressed the pooled motor unit coherence in the 13-35 Hz band. Virtual EA alters the strategic balance between open-loop and closed-loop controls for force-tracking. Contrary to expectations, the prevailing use of closed-loop control with EA that contained high-frequency error information enhanced the motor unit discharge variability and undermined the force steadiness in the older group, concerning declines in physiological complexity in the neurobehavioral system and the common drive to the motoneuronal pool against force destabilization.
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