Kinematic strategies underlying improvement in the acquisition of a sequential finger task with self-generated vs. Cued repetition training.

Many motor skills, such as typing, consist of articulating simple movements into novel sequences that are executed faster and smoother with practice. Dynamics of re-organization of these movement sequences with multi-session training and its dependence on the amount of self-regulation of pace during...

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Main Authors: Jason Friedman, Maria Korman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23272210/pdf/?tool=EBI
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spelling doaj-157dcf2d2d5948c7a075d8cbfac309d22021-03-03T23:55:33ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01712e5206310.1371/journal.pone.0052063Kinematic strategies underlying improvement in the acquisition of a sequential finger task with self-generated vs. Cued repetition training.Jason FriedmanMaria KormanMany motor skills, such as typing, consist of articulating simple movements into novel sequences that are executed faster and smoother with practice. Dynamics of re-organization of these movement sequences with multi-session training and its dependence on the amount of self-regulation of pace during training is not yet fully understood. In this study, participants practiced a sequence of key presses. Training sessions consisted of either externally (Cued) or self-initiated (Uncued) training. Long-term improvements in performance speed were mainly due to reducing gaps between finger movements in both groups, but Uncued training induced higher gains. The underlying kinematic strategies producing these changes and the representation of the trained sequence differed significantly across subjects, although net gains in speed were similar. The differences in long-term memory due to the type of training and the variation in strategies between subjects, suggest that the different neural mechanisms may subserve the improvements observed in overall performance.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23272210/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Jason Friedman
Maria Korman
spellingShingle Jason Friedman
Maria Korman
Kinematic strategies underlying improvement in the acquisition of a sequential finger task with self-generated vs. Cued repetition training.
PLoS ONE
author_facet Jason Friedman
Maria Korman
author_sort Jason Friedman
title Kinematic strategies underlying improvement in the acquisition of a sequential finger task with self-generated vs. Cued repetition training.
title_short Kinematic strategies underlying improvement in the acquisition of a sequential finger task with self-generated vs. Cued repetition training.
title_full Kinematic strategies underlying improvement in the acquisition of a sequential finger task with self-generated vs. Cued repetition training.
title_fullStr Kinematic strategies underlying improvement in the acquisition of a sequential finger task with self-generated vs. Cued repetition training.
title_full_unstemmed Kinematic strategies underlying improvement in the acquisition of a sequential finger task with self-generated vs. Cued repetition training.
title_sort kinematic strategies underlying improvement in the acquisition of a sequential finger task with self-generated vs. cued repetition training.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description Many motor skills, such as typing, consist of articulating simple movements into novel sequences that are executed faster and smoother with practice. Dynamics of re-organization of these movement sequences with multi-session training and its dependence on the amount of self-regulation of pace during training is not yet fully understood. In this study, participants practiced a sequence of key presses. Training sessions consisted of either externally (Cued) or self-initiated (Uncued) training. Long-term improvements in performance speed were mainly due to reducing gaps between finger movements in both groups, but Uncued training induced higher gains. The underlying kinematic strategies producing these changes and the representation of the trained sequence differed significantly across subjects, although net gains in speed were similar. The differences in long-term memory due to the type of training and the variation in strategies between subjects, suggest that the different neural mechanisms may subserve the improvements observed in overall performance.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23272210/pdf/?tool=EBI
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