Literature DB >> 17178410

A central source of movement variability.

Mark M Churchland1, Afsheen Afshar, Krishna V Shenoy.   

Abstract

Movements are universally, sometimes frustratingly, variable. When such variability causes error, we typically assume that something went wrong during the movement. The same assumption is made by recent and influential models of motor control. These posit that the principal limit on repeatable performance is neuromuscular noise that corrupts movement as it occurs. An alternative hypothesis is that movement variability arises before movements begin, during motor preparation. We examined this possibility directly by recording the preparatory activity of single cortical neurons during a highly practiced reach task. Small variations in preparatory neural activity were predictive of small variations in the upcoming reach. Effect magnitudes were such that at least half of the observed movement variability likely had its source during motor preparation. Thus, even for a highly practiced task, the ability to repeatedly plan the same movement limits our ability to repeatedly execute the same movement.

Mesh:

Year:  2006        PMID: 17178410      PMCID: PMC1941679          DOI: 10.1016/j.neuron.2006.10.034

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  41 in total

1.  Rostrocaudal distinction of the dorsal premotor area based on oculomotor involvement.

Authors:  N Fujii; H Mushiake; J Tanji
Journal:  J Neurophysiol       Date:  2000-03       Impact factor: 2.714

2.  Covariation of primate dorsal premotor cell activity with direction and amplitude during a memorized-delay reaching task.

Authors:  J Messier; J F Kalaska
Journal:  J Neurophysiol       Date:  2000-07       Impact factor: 2.714

3.  The minimum endpoint variance trajectory depends on the profile of the signal-dependent noise.

Authors:  Naohiko Iguchi; Yutaka Sakaguchi; Fumihiko Ishida
Journal:  Biol Cybern       Date:  2005-03-11       Impact factor: 2.086

4.  Independence between the amount and structure of variability at low force levels.

Authors:  Jacob J Sosnoff; Andrew D Valantine; Karl M Newell
Journal:  Neurosci Lett       Date:  2005-09-26       Impact factor: 3.046

5.  Optimal control of redundant muscles in step-tracking wrist movements.

Authors:  Masahiko Haruno; Daniel M Wolpert
Journal:  J Neurophysiol       Date:  2005-08-03       Impact factor: 2.714

6.  Neural variability in premotor cortex provides a signature of motor preparation.

Authors:  Mark M Churchland; Byron M Yu; Stephen I Ryu; Gopal Santhanam; Krishna V Shenoy
Journal:  J Neurosci       Date:  2006-04-05       Impact factor: 6.167

7.  Preparatory activity in premotor and motor cortex reflects the speed of the upcoming reach.

Authors:  Mark M Churchland; Gopal Santhanam; Krishna V Shenoy
Journal:  J Neurophysiol       Date:  2006-07-19       Impact factor: 2.714

8.  Preparing for speed. Focus on "Preparatory activity in premotor and motor cortex reflects the speed of the upcoming reach".

Authors:  Paul Cisek
Journal:  J Neurophysiol       Date:  2006-08-23       Impact factor: 2.714

9.  Object grasping using the minimum variance model.

Authors:  Gavin Simmons; Yiannis Demiris
Journal:  Biol Cybern       Date:  2006-02-15       Impact factor: 2.086

10.  A sensory source for motor variation.

Authors:  Leslie C Osborne; Stephen G Lisberger; William Bialek
Journal:  Nature       Date:  2005-09-15       Impact factor: 49.962

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  161 in total

Review 1.  Principles of sensorimotor learning.

Authors:  Daniel M Wolpert; Jörn Diedrichsen; J Randall Flanagan
Journal:  Nat Rev Neurosci       Date:  2011-10-27       Impact factor: 34.870

2.  Impact of neural noise on a sensory-motor pathway signaling impending collision.

Authors:  Peter W Jones; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2011-11-23       Impact factor: 2.714

3.  How is a motor skill learned? Change and invariance at the levels of task success and trajectory control.

Authors:  Lior Shmuelof; John W Krakauer; Pietro Mazzoni
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

Review 4.  Autonomous head-mounted electrophysiology systems for freely behaving primates.

Authors:  Vikash Gilja; Cindy A Chestek; Paul Nuyujukian; Justin Foster; Krishna V Shenoy
Journal:  Curr Opin Neurobiol       Date:  2010-07-23       Impact factor: 6.627

5.  Roles of monkey premotor neuron classes in movement preparation and execution.

Authors:  Matthew T Kaufman; Mark M Churchland; Gopal Santhanam; Byron M Yu; Afsheen Afshar; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neurophysiol       Date:  2010-06-10       Impact factor: 2.714

6.  Postural constraints on movement variability.

Authors:  Daniel R Lametti; David J Ostry
Journal:  J Neurophysiol       Date:  2010-06-16       Impact factor: 2.714

7.  Phase dependence of transport-aperture coordination variability reveals control strategy of reach-to-grasp movements.

Authors:  Miya K Rand; Y P Shimansky; Abul B M I Hossain; George E Stelmach
Journal:  Exp Brain Res       Date:  2010-10-08       Impact factor: 1.972

8.  Single-trial neural correlates of arm movement preparation.

Authors:  Afsheen Afshar; Gopal Santhanam; Byron M Yu; Stephen I Ryu; Maneesh Sahani; Krishna V Shenoy
Journal:  Neuron       Date:  2011-08-11       Impact factor: 17.173

9.  Lower neuronal variability in the monkey dorsolateral prefrontal than posterior parietal cortex.

Authors:  Xue-Lian Qi; Christos Constantinidis
Journal:  J Neurophysiol       Date:  2015-08-12       Impact factor: 2.714

10.  Variability in motor learning: relocating, channeling and reducing noise.

Authors:  R G Cohen; D Sternad
Journal:  Exp Brain Res       Date:  2008-10-25       Impact factor: 1.972

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