Literature DB >> 27040776

Enhanced Muscle Afferent Signals during Motor Learning in Humans.

Michael Dimitriou1.   

Abstract

Much has been revealed concerning human motor learning at the behavioral level [1, 2], but less is known about changes in the involved neural circuits and signals. By examining muscle spindle responses during a classic visuomotor adaptation task [3-6] performed by fully alert humans, I found substantial modulation of sensory afferent signals as a function of adaptation state. Specifically, spindle control was independent of concurrent muscle activity but was specific to movement direction (representing muscle lengthening versus shortening) and to different stages of learning. Increased spindle afferent responses to muscle stretch occurring early during learning reflected individual error size and were negatively related to subsequent antagonist activity (i.e., 60-80 ms thereafter). Relative increases in tonic afferent output early during learning were predictive of the subjects' adaptation rate. I also found that independent spindle control during sensory realignment (the "washout" stage) induced afferent signal "linearization" with respect to muscle length (i.e., signals were more tuned to hand position). The results demonstrate for the first time that motor learning also involves independent and state-related modulation of sensory mechanoreceptor signals. The current findings suggest that adaptive motor performance also relies on the independent control of sensors, not just of muscles. I propose that the "γ" motor system innervating spindles acts to facilitate the acquisition and extraction of task-relevant information at the early stages of sensorimotor adaptation. This designates a more active and targeted role for the human proprioceptive system during motor learning.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27040776     DOI: 10.1016/j.cub.2016.02.030

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  10 in total

1.  Nerve-Specific Input Modulation to Spinal Neurons during a Motor Task in the Monkey.

Authors:  Joachim Confais; Geehee Kim; Saeka Tomatsu; Tomohiko Takei; Kazuhiko Seki
Journal:  J Neurosci       Date:  2017-02-03       Impact factor: 6.167

2.  Human muscle spindles are wired to function as controllable signal-processing devices.

Authors:  Michael Dimitriou
Journal:  Elife       Date:  2022-07-13       Impact factor: 8.713

3.  Physiological tremor increases when skeletal muscle is shortened: implications for fusimotor control.

Authors:  Kian Jalaleddini; Akira Nagamori; Christopher M Laine; Mahsa A Golkar; Robert E Kearney; Francisco J Valero-Cuevas
Journal:  J Physiol       Date:  2017-11-19       Impact factor: 5.182

4.  Emotions alter muscle proprioceptive coding of movements in humans.

Authors:  Rochelle Ackerley; Jean-Marc Aimonetti; Edith Ribot-Ciscar
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

5.  Force encoding in muscle spindles during stretch of passive muscle.

Authors:  Kyle P Blum; Boris Lamotte D'Incamps; Daniel Zytnicki; Lena H Ting
Journal:  PLoS Comput Biol       Date:  2017-09-25       Impact factor: 4.475

6.  Adaptive SNN for Anthropomorphic Finger Control.

Authors:  Mircea Hulea; George Iulian Uleru; Constantin Florin Caruntu
Journal:  Sensors (Basel)       Date:  2021-04-13       Impact factor: 3.576

7.  Passive Proprioceptive Training Alters the Sensitivity of Muscle Spindles to Imposed Movements.

Authors:  Rochelle Ackerley; Léonard Samain-Aupic; Edith Ribot-Ciscar
Journal:  eNeuro       Date:  2022-01-28

8.  Understanding implicit sensorimotor adaptation as a process of proprioceptive re-alignment.

Authors:  Jonathan S Tsay; Hyosub Kim; Adrian M Haith; Richard B Ivry
Journal:  Elife       Date:  2022-08-15       Impact factor: 8.713

9.  Goal-dependent tuning of muscle spindle receptors during movement preparation.

Authors:  Stylianos Papaioannou; Michael Dimitriou
Journal:  Sci Adv       Date:  2021-02-24       Impact factor: 14.136

10.  The Refined Composite Downsampling Permutation Entropy Is a Relevant Tool in the Muscle Fatigue Study Using sEMG Signals.

Authors:  Philippe Ravier; Antonio Dávalos; Meryem Jabloun; Olivier Buttelli
Journal:  Entropy (Basel)       Date:  2021-12-09       Impact factor: 2.524

  10 in total

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