Literature DB >> 22155489

The effects of working memory resource depletion and training on sensorimotor adaptation.

Joaquin A Anguera1, Jessica A Bernard, Susanne M Jaeggi, Martin Buschkuehl, Bryan L Benson, Sarah Jennett, Jennifer Humfleet, Patricia A Reuter-Lorenz, John Jonides, Rachael D Seidler.   

Abstract

We have recently demonstrated that visuospatial working memory performance predicts the rate of motor skill learning, particularly during the early phase of visuomotor adaptation. Here, we follow up these correlational findings with direct manipulations of working memory resources to determine the impact on visuomotor adaptation, a form of motor learning. We conducted two separate experiments. In the first one, we used a resource depletion strategy to investigate whether the rate of early visuomotor adaptation would be negatively affected by fatigue of spatial working memory resources. In the second study, we employed a dual n-back task training paradigm that has been shown to result in transfer effects [1] over five weeks to determine whether training-related improvements would boost the rate of early visuomotor adaptation. The depletion of spatial working memory resources negatively affected the rate of early visuomotor adaptation. However, enhancing working memory capacity via training did not lead to improved rates of visuomotor adaptation, suggesting that working memory capacity may not be the factor limiting maximal rate of visuomotor adaptation in young adults. These findings are discussed from a resource limitation/capacity framework with respect to current views of motor learning.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22155489      PMCID: PMC3264800          DOI: 10.1016/j.bbr.2011.11.040

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  43 in total

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Journal:  Curr Opin Neurobiol       Date:  1999-12       Impact factor: 6.627

2.  Age differences in the frontal lateralization of verbal and spatial working memory revealed by PET.

Authors:  P A Reuter-Lorenz; J Jonides; E E Smith; A Hartley; A Miller; C Marshuetz; R A Koeppe
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Authors:  M Ghilardi; C Ghez; V Dhawan; J Moeller; M Mentis; T Nakamura; A Antonini; D Eidelberg
Journal:  Brain Res       Date:  2000-07-14       Impact factor: 3.252

4.  Evidence for processing stages in skill acquisition: a dual-task study.

Authors:  U Eversheim; O Bock
Journal:  Learn Mem       Date:  2001 Jul-Aug       Impact factor: 2.460

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Authors:  N Teasdale; C Bard; M Fleury; D E Young; L Proteau
Journal:  J Mot Behav       Date:  1993-06       Impact factor: 1.328

6.  An implicit plan overrides an explicit strategy during visuomotor adaptation.

Authors:  Pietro Mazzoni; John W Krakauer
Journal:  J Neurosci       Date:  2006-04-05       Impact factor: 6.167

7.  Learning of scaling factors and reference axes for reaching movements.

Authors:  Z M Pine; J W Krakauer; J Gordon; C Ghez
Journal:  Neuroreport       Date:  1996-10-02       Impact factor: 1.837

8.  The neural system that bridges reward and cognition in humans: an fMRI study.

Authors:  J B Pochon; R Levy; P Fossati; S Lehericy; J B Poline; B Pillon; D Le Bihan; B Dubois
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

9.  Changes in performance monitoring during sensorimotor adaptation.

Authors:  Joaquin A Anguera; Rachael D Seidler; William J Gehring
Journal:  J Neurophysiol       Date:  2009-07-15       Impact factor: 2.714

10.  Flexible cognitive strategies during motor learning.

Authors:  Jordan A Taylor; Richard B Ivry
Journal:  PLoS Comput Biol       Date:  2011-03-03       Impact factor: 4.475

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  38 in total

1.  There is no convincing evidence that working memory training is NOT effective: A reply to Melby-Lervåg and Hulme (2015).

Authors:  Jacky Au; Martin Buschkuehl; Greg J Duncan; Susanne M Jaeggi
Journal:  Psychon Bull Rev       Date:  2016-02

2.  Interference between adaptation to double steps and adaptation to rotated feedback in spite of differences in directional selectivity.

Authors:  Gerd Schmitz
Journal:  Exp Brain Res       Date:  2016-01-28       Impact factor: 1.972

3.  Complex span and n-back measures of working memory: a meta-analysis.

Authors:  Thomas S Redick; Dakota R B Lindsey
Journal:  Psychon Bull Rev       Date:  2013-12

Review 4.  Effects and mechanisms of working memory training: a review.

Authors:  Claudia C von Bastian; Klaus Oberauer
Journal:  Psychol Res       Date:  2013-11-10

5.  There is no convincing evidence that working memory training is effective: A reply to Au et al. (2014) and Karbach and Verhaeghen (2014).

Authors:  Monica Melby-Lervåg; Charles Hulme
Journal:  Psychon Bull Rev       Date:  2016-02

6.  Working memory training revisited: A multi-level meta-analysis of n-back training studies.

Authors:  Anna Soveri; Jan Antfolk; Linda Karlsson; Benny Salo; Matti Laine
Journal:  Psychon Bull Rev       Date:  2017-08

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.  Correlations between executive functions and adaptation to incrementally increasing sensorimotor discordances.

Authors:  Gerd Schmitz; Mirco Dierking; Anthea Guenther
Journal:  Exp Brain Res       Date:  2018-10-08       Impact factor: 1.972

9.  Task Errors Drive Memories That Improve Sensorimotor Adaptation.

Authors:  Li-Ann Leow; Welber Marinovic; Aymar de Rugy; Timothy J Carroll
Journal:  J Neurosci       Date:  2020-02-06       Impact factor: 6.167

10.  Somatosensory working memory in human reinforcement-based motor learning.

Authors:  Ananda Sidarta; Floris T van Vugt; David J Ostry
Journal:  J Neurophysiol       Date:  2018-10-24       Impact factor: 2.714

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