Literature DB >> 25834038

The influence of movement preparation time on the expression of visuomotor learning and savings.

Adrian M Haith1, David M Huberdeau2, John W Krakauer3.   

Abstract

Following a change in the environment or motor apparatus, human subjects are able to rapidly compensate their movements to recover accurate performance. This ability to adapt is thought to be achieved through multiple, qualitatively distinct learning processes acting in parallel. It is unclear, however, what the relative contributions of these multiple processes are during learning. In particular, long-term memories in such paradigms have been extensively studied through the phenomenon of savings-faster adaptation to a given perturbation the second time it is experienced-but it is unclear which components of learning contribute to this effect. Here we show that distinct components of learning in an adaptation task can be dissociated based on the amount of preparation time they require. During adaptation, we occasionally forced subjects to generate movements at very low preparation times. Early in learning, subjects expressed only a limited amount of their prior learning in these trials, though performance improved gradually with further practice. Following washout, subjects exhibited a strong and persistent aftereffect in trials in which preparation time was limited. When subjects were exposed to the same perturbation twice in successive days, they adapted faster the second time. This savings effect was, however, not seen in movements generated at low preparation times. These results demonstrate that preparation time plays a critical role in the expression of some components of learning but not others. Savings is restricted to those components that require prolonged preparation to be expressed and might therefore reflect a declarative rather than procedural form of memory.
Copyright © 2015 the authors 0270-6474/15/355109-09$15.00/0.

Entities:  

Keywords:  movement planning; reaction time; savings; visuomotor adaptation

Mesh:

Year:  2015        PMID: 25834038      PMCID: PMC6705405          DOI: 10.1523/JNEUROSCI.3869-14.2015

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  73 in total

1.  Rapid Automatic Motor Encoding of Competing Reach Options.

Authors:  Jason P Gallivan; Brandie M Stewart; Lee A Baugh; Daniel M Wolpert; J Randall Flanagan
Journal:  Cell Rep       Date:  2017-02-14       Impact factor: 9.423

2.  Formation of a long-term memory for visuomotor adaptation following only a few trials of practice.

Authors:  David M Huberdeau; Adrian M Haith; John W Krakauer
Journal:  J Neurophysiol       Date:  2015-06-10       Impact factor: 2.714

3.  Explicit and Implicit Processes Constitute the Fast and Slow Processes of Sensorimotor Learning.

Authors:  Samuel D McDougle; Krista M Bond; Jordan A Taylor
Journal:  J Neurosci       Date:  2015-07-01       Impact factor: 6.167

4.  The 24-h savings of adaptation to novel movement dynamics initially reflects the recall of previous performance.

Authors:  Katrina P Nguyen; Weiwei Zhou; Erin McKenna; Katrina Colucci-Chang; Laurence C Jayet Bray; Eghbal A Hosseini; Laith Alhussein; Meena Rezazad; Wilsaan M Joiner
Journal:  J Neurophysiol       Date:  2019-07-10       Impact factor: 2.714

5.  Both fast and slow learning processes contribute to savings following sensorimotor adaptation.

Authors:  Susan K Coltman; Joshua G A Cashaback; Paul L Gribble
Journal:  J Neurophysiol       Date:  2019-03-06       Impact factor: 2.714

6.  Estimating the implicit component of visuomotor rotation learning by constraining movement preparation time.

Authors:  Li-Ann Leow; Reece Gunn; Welber Marinovic; Timothy J Carroll
Journal:  J Neurophysiol       Date:  2017-03-29       Impact factor: 2.714

7.  Right prefrontal cortex transcranial direct current stimulation enhances multi-day savings in sensorimotor adaptation.

Authors:  Rachael D Seidler; Brittany S Gluskin; Brian Greeley
Journal:  J Neurophysiol       Date:  2016-11-02       Impact factor: 2.714

8.  Using gaze behavior to parcellate the explicit and implicit contributions to visuomotor learning.

Authors:  Anouk J de Brouwer; Mohammed Albaghdadi; J Randall Flanagan; Jason P Gallivan
Journal:  J Neurophysiol       Date:  2018-07-11       Impact factor: 2.714

9.  Neural predictors of sensorimotor adaptation rate and savings.

Authors:  Kaitlin Cassady; Marit Ruitenberg; Vincent Koppelmans; Patricia Reuter-Lorenz; Yiri De Dios; Nichole Gadd; Scott Wood; Roy Riascos Castenada; Igor Kofman; Jacob Bloomberg; Ajitkumar Mulavara; Rachael Seidler
Journal:  Hum Brain Mapp       Date:  2017-12-23       Impact factor: 5.038

10.  Independent voluntary correction and savings in locomotor learning.

Authors:  Kristan A Leech; Ryan T Roemmich
Journal:  J Exp Biol       Date:  2018-08-07       Impact factor: 3.312

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