Literature DB >> 26441353

Sensory Feedback Reduces Individuality by Increasing Variability within Subjects.

Miranda J Cullins1, Jeffrey P Gill1, Jeffrey M McManus1, Hui Lu1, Kendrick M Shaw1, Hillel J Chiel2.   

Abstract

Behavioral variability is ubiquitous [1-6], yet variability is more than just noise. Indeed, humans exploit their individual motor variability to improve tracing and reaching tasks [7]. What controls motor variability? Increasing the variability of sensory input, or applying force perturbations during a task, increases task variability [8, 9]. Sensory feedback may also increase task-irrelevant variability [9, 10]. In contrast, sensory feedback during locust flight or to multiple cortical areas just prior to task performance decreases variability during task-relevant motor behavior [11, 12]. Thus, how sensory feedback affects both task-relevant and task-irrelevant motor outputs must be understood. Furthermore, since motor control is studied in populations, the effects of sensory feedback on variability must also be understood within and across subjects. For example, during locomotion, each step may vary within and across individuals, even when behavior is normalized by step cycle duration [13]. Our previous work demonstrated that motor components that matter for effective behavior show less individuality [14]. Is sensory feedback the mechanism for reducing individuality? We analyzed durations and relative timings of motor pools within swallowing motor patterns in the presence and absence of sensory feedback and related these motor program components to behavior. Here, at the level of identified motor neurons, we show that sensory feedback to motor program components highly correlated with behavioral efficacy reduces variability across subjects but-surprisingly-increases variability within subjects. By controlling intrinsic, individual differences in motor neuronal activity, sensory feedback provides each subject access to a common solution space.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26441353      PMCID: PMC4618029          DOI: 10.1016/j.cub.2015.08.044

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


  25 in total

Review 1.  State-dependent modulation of sensory feedback.

Authors:  H Hultborn
Journal:  J Physiol       Date:  2001-05-15       Impact factor: 5.182

2.  Variation is the spice of life. Focus on "Cycle-to-cycle variability of neuromuscular activity in Aplysia feeding behavior".

Authors:  Scott L Hooper
Journal:  J Neurophysiol       Date:  2004-07       Impact factor: 2.714

Review 3.  Optimality principles in sensorimotor control.

Authors:  Emanuel Todorov
Journal:  Nat Neurosci       Date:  2004-09       Impact factor: 24.884

4.  Cycle-to-cycle variability of neuromuscular activity in Aplysia feeding behavior.

Authors:  Charles C Horn; Yuriy Zhurov; Irina V Orekhova; Alex Proekt; Irving Kupfermann; Klaudiusz R Weiss; Vladimir Brezina
Journal:  J Neurophysiol       Date:  2004-02-25       Impact factor: 2.714

5.  Motor neuronal activity varies least among individuals when it matters most for behavior.

Authors:  Miranda J Cullins; Kendrick M Shaw; Jeffrey P Gill; Hillel J Chiel
Journal:  J Neurophysiol       Date:  2014-11-19       Impact factor: 2.714

6.  EMG profiles during normal human walking: stride-to-stride and inter-subject variability.

Authors:  D A Winter; H J Yack
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1987-11

7.  Temporal structure of motor variability is dynamically regulated and predicts motor learning ability.

Authors:  Howard G Wu; Yohsuke R Miyamoto; Luis Nicolas Gonzalez Castro; Bence P Ölveczky; Maurice A Smith
Journal:  Nat Neurosci       Date:  2014-01-12       Impact factor: 24.884

8.  Dissociation of the appetitive and consummatory phases of feeding behavior in Aplysia: a lesion study.

Authors:  I Kupfermann
Journal:  Behav Biol       Date:  1974-01

Review 9.  Neuromechanical principles underlying movement modularity and their implications for rehabilitation.

Authors:  Lena H Ting; Hillel J Chiel; Randy D Trumbower; Jessica L Allen; J Lucas McKay; Madeleine E Hackney; Trisha M Kesar
Journal:  Neuron       Date:  2015-04-08       Impact factor: 17.173

10.  What do synergies do? Effects of secondary constraints on multidigit synergies in accurate force-production tasks.

Authors:  Wei Zhang; John P Scholz; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Neurophysiol       Date:  2007-11-28       Impact factor: 2.714

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3.  Organelle calcium-derived voltage oscillations in pacemaker neurons drive the motor program for food-seeking behavior in Aplysia.

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Journal:  Elife       Date:  2021-06-30       Impact factor: 8.140

4.  Output variability across animals and levels in a motor system.

Authors:  Angela Wenning; Brian J Norris; Cengiz Günay; Daniel Kueh; Ronald L Calabrese
Journal:  Elife       Date:  2018-01-18       Impact factor: 8.140

5.  Rapid Adaptation to Changing Mechanical Load by Ordered Recruitment of Identified Motor Neurons.

Authors:  Jeffrey P Gill; Hillel J Chiel
Journal:  eNeuro       Date:  2020-05-21
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