Literature DB >> 17108162

Intermittent practice facilitates stable motor memories.

Simon A Overduin1, Andrew G Richardson, Courtney E Lane, Emilio Bizzi, Daniel Z Press.   

Abstract

Humans adaptively control reaching movements to maintain good performance in the presence of novel forces acting on the arm. A recent study suggested that motor memories of different force conditions are not transformed from fragile to stable states, but rather are always vulnerable to interference from newly learned conditions (Caithness et al., 2004). This is contrary to the results of previous studies (Brashers-Krug et al., 1996; Shadmehr and Brashers-Krug, 1997), although all of these studies followed similar methods. Here, we show that a seemingly insignificant and inconsistently applied methodological detail may reconcile this discrepancy. Catch trials, in which the novel forces are removed, may be randomly interspersed among the more frequent force trials to assess how a subject is learning to predict the pattern of forces. In the absence of an interfering condition, subjects retained their learning until retest a day later regardless of whether they experienced catch trials. But in the presence of an interfering condition, only the subjects who had experienced forces intermittently retained their learning and thereby showed resistance to the interference. Thus, intermittent rather than constant practice conditions appear to be critical for dynamic motor memory stabilization.

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Year:  2006        PMID: 17108162      PMCID: PMC6674870          DOI: 10.1523/JNEUROSCI.1320-06.2006

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


  27 in total

1.  Protection and expression of human motor memories.

Authors:  Sarah E Pekny; Sarah E Criscimagna-Hemminger; Reza Shadmehr
Journal:  J Neurosci       Date:  2011-09-28       Impact factor: 6.167

2.  Intermanual transfer characteristics of dynamic learning: direction, coordinate frame, and consolidation of interlimb generalization.

Authors:  Christian Stockinger; Benjamin Thürer; Anne Focke; Thorsten Stein
Journal:  J Neurophysiol       Date:  2015-09-30       Impact factor: 2.714

3.  Differential contribution of the supplementary motor area to stabilization of a procedural motor skill acquired through different practice schedules.

Authors:  Satoshi Tanaka; Manabu Honda; Takashi Hanakawa; Leonardo G Cohen
Journal:  Cereb Cortex       Date:  2009-12-27       Impact factor: 5.357

4.  Long-term retention explained by a model of short-term learning in the adaptive control of reaching.

Authors:  Wilsaan M Joiner; Maurice A Smith
Journal:  J Neurophysiol       Date:  2008-09-10       Impact factor: 2.714

5.  Neural substrates of practice structure that support future off-line learning.

Authors:  Nicholas F Wymbs; Scott T Grafton
Journal:  J Neurophysiol       Date:  2009-08-19       Impact factor: 2.714

6.  Optimizing effort: increased efficiency of motor memory with time away from practice.

Authors:  Sarah E Pekny; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2014-10-29       Impact factor: 2.714

7.  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

8.  Distinct types of neural reorganization during long-term learning.

Authors:  Xiao Zhou; Rex N Tien; Sadhana Ravikumar; Steven M Chase
Journal:  J Neurophysiol       Date:  2019-02-06       Impact factor: 2.714

9.  Consolidation patterns of human motor memory.

Authors:  Sarah E Criscimagna-Hemminger; Reza Shadmehr
Journal:  J Neurosci       Date:  2008-09-24       Impact factor: 6.167

10.  Reduction in learning rates associated with anterograde interference results from interactions between different timescales in motor adaptation.

Authors:  Gary C Sing; Maurice A Smith
Journal:  PLoS Comput Biol       Date:  2010-08-19       Impact factor: 4.475

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