Literature DB >> 31291156

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

Katrina P Nguyen1, Weiwei Zhou1, Erin McKenna2, Katrina Colucci-Chang1, Laurence C Jayet Bray1, Eghbal A Hosseini1, Laith Alhussein1, Meena Rezazad1, Wilsaan M Joiner1,2,3.   

Abstract

Humans rapidly adapt reaching movements in response to perturbations (e.g., manipulations of movement dynamics or visual feedback). Following a break, when reexposed to the same perturbation, subjects demonstrate savings, a faster learning rate compared with the time course of initial training. Although this has been well studied, there are open questions on the extent early savings reflects the rapid recall of previous performance. To address this question, we examined how the properties of initial training (duration and final adaptive state) influence initial single-trial adaptation to force-field perturbations when training sessions were separated by 24 h. There were two main groups that were distinct based on the presence or absence of a washout period at the end of day 1 (with washout vs. without washout). We also varied the training duration on day 1 (15, 30, 90, or 160 training trials), resulting in 8 subgroups of subjects. We show that single-trial adaptation on day 2 scaled with training duration, even for similar asymptotic levels of learning on day 1 of training. Interestingly, the temporal force profile following the first perturbation on day 2 matched that at the end of day 1 for the longest training duration group that did not complete the washout. This correspondence persisted but was significantly lower for shorter training durations and the washout subject groups. Collectively, the results suggest that the adaptation observed very early in reexposure results from the rapid recall of the previously learned motor recalibration but is highly dependent on the initial training duration and final adaptive state.NEW & NOTEWORTHY The extent initial readaptation reflects the recall of previous motor performance is largely unknown. We examined early single-trial force-field adaptation on the second day of training and distinguished initial retention from recall. We found that the single-trial adaptation following the 24-h break matched that at the end of the first day, but this recall was modified by the training duration and final level of learning on the first day of training.

Entities:  

Keywords:  motor adaptation; motor memory; recall; savings

Mesh:

Year:  2019        PMID: 31291156      PMCID: PMC6766742          DOI: 10.1152/jn.00569.2018

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  72 in total

1.  Visuomotor rotations of varying size and direction compete for a single internal model in motor working memory.

Authors:  Virginia Wigmore; Christine Tong; J Randall Flanagan
Journal:  J Exp Psychol Hum Percept Perform       Date:  2002-04       Impact factor: 3.332

2.  Patterns of interference in sequence learning and prism adaptation inconsistent with the consolidation hypothesis.

Authors:  Kelly M Goedert; Daniel B Willingham
Journal:  Learn Mem       Date:  2002 Sep-Oct       Impact factor: 2.460

3.  Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks.

Authors:  Graham Caithness; Rieko Osu; Paul Bays; Henry Chase; Jessica Klassen; Mitsuo Kawato; Daniel M Wolpert; J Randall Flanagan
Journal:  J Neurosci       Date:  2004-10-06       Impact factor: 6.167

4.  Linear hypergeneralization of learned dynamics across movement speeds reveals anisotropic, gain-encoding primitives for motor adaptation.

Authors:  Wilsaan M Joiner; Obafunso Ajayi; Gary C Sing; Maurice A Smith
Journal:  J Neurophysiol       Date:  2010-09-29       Impact factor: 2.714

5.  Vestibular benefits to task savings in motor adaptation.

Authors:  A M E Sarwary; L P J Selen; W P Medendorp
Journal:  J Neurophysiol       Date:  2013-06-19       Impact factor: 2.714

6.  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

7.  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

8.  Impaired savings despite intact initial learning of motor adaptation in Parkinson's disease.

Authors:  Li-Ann Leow; Andrea M Loftus; Geoffrey R Hammond
Journal:  Exp Brain Res       Date:  2012-03-20       Impact factor: 1.972

Review 9.  Human sensorimotor learning: adaptation, skill, and beyond.

Authors:  John W Krakauer; Pietro Mazzoni
Journal:  Curr Opin Neurobiol       Date:  2011-07-20       Impact factor: 6.627

10.  Different mechanisms contributing to savings and anterograde interference are impaired in Parkinson's disease.

Authors:  Li-Ann Leow; Aymar de Rugy; Andrea M Loftus; Geoff Hammond
Journal:  Front Hum Neurosci       Date:  2013-02-27       Impact factor: 3.169

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  4 in total

1.  Slowing the body slows down time perception.

Authors:  Rose De Kock; Weiwei Zhou; Wilsaan M Joiner; Martin Wiener
Journal:  Elife       Date:  2021-04-08       Impact factor: 8.140

2.  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

3.  Motion state-dependent motor learning based on explicit visual feedback is quickly recalled, but is less stable than adaptation to physical perturbations.

Authors:  Weiwei Zhou; Elizabeth A Kruse; Rylee Brower; Ryan North; Wilsaan M Joiner
Journal:  J Neurophysiol       Date:  2022-08-31       Impact factor: 2.974

4.  A Very Fast Time Scale of Human Motor Adaptation: Within Movement Adjustments of Internal Representations during Reaching.

Authors:  Frédéric Crevecoeur; Jean-Louis Thonnard; Philippe Lefèvre
Journal:  eNeuro       Date:  2020-02-05
  4 in total

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