Literature DB >> 33667219

Reexposure to a sensorimotor perturbation produces opposite effects on explicit and implicit learning processes.

Guy Avraham1,2, J Ryan Morehead3,4, Hyosub E Kim5,6, Richard B Ivry1,2.   

Abstract

The motor system demonstrates an exquisite ability to adapt to changes in the environment and to quickly reset when these changes prove transient. If similar environmental changes are encountered in the future, learning may be faster, a phenomenon known as savings. In studies of sensorimotor learning, a central component of savings is attributed to the explicit recall of the task structure and appropriate compensatory strategies. Whether implicit adaptation also contributes to savings remains subject to debate. We tackled this question by measuring, in parallel, explicit and implicit adaptive responses in a visuomotor rotation task, employing a protocol that typically elicits savings. While the initial rate of learning was faster in the second exposure to the perturbation, an analysis decomposing the 2 processes showed the benefit to be solely associated with explicit re-aiming. Surprisingly, we found a significant decrease after relearning in aftereffect magnitudes during no-feedback trials, a direct measure of implicit adaptation. In a second experiment, we isolated implicit adaptation using clamped visual feedback, a method known to eliminate the contribution of explicit learning processes. Consistent with the results of the first experiment, participants exhibited a marked reduction in the adaptation function, as well as an attenuated aftereffect when relearning from the clamped feedback. Motivated by these results, we reanalyzed data from prior studies and observed a consistent, yet unappreciated pattern of attenuation of implicit adaptation during relearning. These results indicate that explicit and implicit sensorimotor processes exhibit opposite effects upon relearning: Explicit learning shows savings, while implicit adaptation becomes attenuated.

Entities:  

Mesh:

Year:  2021        PMID: 33667219      PMCID: PMC7968744          DOI: 10.1371/journal.pbio.3001147

Source DB:  PubMed          Journal:  PLoS Biol        ISSN: 1544-9173            Impact factor:   8.029


  75 in total

1.  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

2.  Medial temporal theta/alpha power enhancement precedes successful memory encoding: evidence based on intracranial EEG.

Authors:  Juergen Fell; Eva Ludowig; Bernhard P Staresina; Tobias Wagner; Thorsten Kranz; Christian E Elger; Nikolai Axmacher
Journal:  J Neurosci       Date:  2011-04-06       Impact factor: 6.167

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

Authors:  Adrian M Haith; David M Huberdeau; John W Krakauer
Journal:  J Neurosci       Date:  2015-04-01       Impact factor: 6.167

4.  Savings in locomotor adaptation explained by changes in learning parameters following initial adaptation.

Authors:  Firas Mawase; Lior Shmuelof; Simona Bar-Haim; Amir Karniel
Journal:  J Neurophysiol       Date:  2014-01-15       Impact factor: 2.714

5.  Environmental consistency determines the rate of motor adaptation.

Authors:  Luis Nicolas Gonzalez Castro; Alkis M Hadjiosif; Matthew A Hemphill; Maurice A Smith
Journal:  Curr Biol       Date:  2014-05-01       Impact factor: 10.834

6.  Delta-Beta Coupled Oscillations Underlie Temporal Prediction Accuracy.

Authors:  Luc H Arnal; Keith B Doelling; David Poeppel
Journal:  Cereb Cortex       Date:  2014-05-20       Impact factor: 5.357

7.  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

8.  Minimizing Precision-Weighted Sensory Prediction Errors via Memory Formation and Switching in Motor Adaptation.

Authors:  Youngmin Oh; Nicolas Schweighofer
Journal:  J Neurosci       Date:  2019-10-03       Impact factor: 6.167

9.  Context-dependent savings in procedural category learning.

Authors:  Matthew J Crossley; F Gregory Ashby; W Todd Maddox
Journal:  Brain Cogn       Date:  2014-10-17       Impact factor: 2.310

10.  Visuomotor Learning Generalizes Around the Intended Movement.

Authors:  Kevin A Day; Ryan T Roemmich; Jordan A Taylor; Amy J Bastian
Journal:  eNeuro       Date:  2016-04-29
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  14 in total

1.  Implicit adaptation to mirror reversal is in the correct coordinate system but the wrong direction.

Authors:  Tianhe Wang; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2021-10-06       Impact factor: 2.714

2.  Motor learning without movement.

Authors:  Olivia A Kim; Alexander D Forrence; Samuel D McDougle
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-19       Impact factor: 12.779

3.  Statistical determinants of visuomotor adaptation along different dimensions during naturalistic 3D reaches.

Authors:  P Morel; A Gail; E Ferrea; J Franke
Journal:  Sci Rep       Date:  2022-06-17       Impact factor: 4.996

4.  Competition between parallel sensorimotor learning systems.

Authors:  Scott T Albert; Jihoon Jang; Shanaathanan Modchalingam; Bernard Marius 't Hart; Denise Henriques; Gonzalo Lerner; Valeria Della-Maggiore; Adrian M Haith; John W Krakauer; Reza Shadmehr
Journal:  Elife       Date:  2022-02-28       Impact factor: 8.713

5.  The effect of visual uncertainty on implicit motor adaptation.

Authors:  Jonathan S Tsay; Guy Avraham; Hyosub E Kim; Darius E Parvin; Zixuan Wang; Richard B Ivry
Journal:  J Neurophysiol       Date:  2020-11-25       Impact factor: 2.714

6.  Revisiting the Role of the Medial Temporal Lobe in Motor Learning.

Authors:  Samuel D McDougle; Sarah A Wilterson; Nicholas B Turk-Browne; Jordan A Taylor
Journal:  J Cogn Neurosci       Date:  2022-02-01       Impact factor: 3.225

7.  Individual differences in proprioception predict the extent of implicit sensorimotor adaptation.

Authors:  Jonathan S Tsay; Hyosub E Kim; Darius E Parvin; Alissa R Stover; Richard B Ivry
Journal:  J Neurophysiol       Date:  2021-03-03       Impact factor: 2.974

8.  Younger and Late Middle-Aged Adults Exhibit Different Patterns of Cognitive-Motor Interference During Locomotor Adaptation, With No Disruption of Savings.

Authors:  Cristina Rossi; Ryan T Roemmich; Nicolas Schweighofer; Amy J Bastian; Kristan A Leech
Journal:  Front Aging Neurosci       Date:  2021-11-26       Impact factor: 5.750

9.  Individual Differences in Sensorimotor Adaptation Are Conserved Over Time and Across Force-Field Tasks.

Authors:  Robert T Moore; Tyler Cluff
Journal:  Front Hum Neurosci       Date:  2021-11-30       Impact factor: 3.169

Review 10.  The Psychology of Reaching: Action Selection, Movement Implementation, and Sensorimotor Learning.

Authors:  Hyosub E Kim; Guy Avraham; Richard B Ivry
Journal:  Annu Rev Psychol       Date:  2020-09-25       Impact factor: 24.137

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