Literature DB >> 30969809

Sequence learning is driven by improvements in motor planning.

Giacomo Ariani1,2, Jörn Diedrichsen1,2,3.   

Abstract

The ability to perform complex sequences of movements quickly and accurately is critical for many motor skills. Although training improves performance in a large variety of motor sequence tasks, the precise mechanisms behind such improvements are poorly understood. Here we investigated the contribution of single-action selection, sequence preplanning, online planning, and motor execution to performance in a discrete sequence production task. Five visually presented numbers cued a sequence of five finger presses, which had to be executed as quickly and accurately as possible. To study how sequence planning influenced sequence production, we manipulated the amount of time that participants were given to prepare each sequence by using a forced-response paradigm. Over 4 days, participants were trained on 10 sequences and tested on 80 novel sequences. Our results revealed that participants became faster in selecting individual finger presses. They also preplanned three or four sequence items into the future, and the speed of preplanning improved for trained, but not for untrained, sequences. Because preplanning capacity remained limited, the remaining sequence elements had to be planned online during sequence execution, a process that also improved with sequence-specific training. Overall, our results support the view that motor sequence learning effects are best characterized by improvements in planning processes that occur both before and concurrently with motor execution. NEW & NOTEWORTHY Complex skills often require the production of sequential movements. Although practice improves performance, it remains unclear how these improvements are achieved. Our findings show that learning effects in a sequence production task can be attributed to an enhanced ability to plan upcoming movements. These results shed new light on planning processes in the context of movement sequences and have important implications for our understanding of the neural mechanisms that underlie skill acquisition.

Entities:  

Keywords:  discrete sequence production; motor planning; sequence learning

Year:  2019        PMID: 30969809      PMCID: PMC6620700          DOI: 10.1152/jn.00041.2019

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


  28 in total

1.  Concatenating familiar movement sequences: the versatile cognitive processor.

Authors:  W B Verwey
Journal:  Acta Psychol (Amst)       Date:  2001-01

Review 2.  Learning and production of movement sequences: behavioral, neurophysiological, and modeling perspectives.

Authors:  Bradley J Rhodes; Daniel Bullock; Willem B Verwey; Bruno B Averbeck; Michael P A Page
Journal:  Hum Mov Sci       Date:  2004-11       Impact factor: 2.161

3.  Discrete and continuous planning of hand movements and isometric force trajectories.

Authors:  C Ghez; M Favilla; M F Ghilardi; J Gordon; R Bermejo; S Pullman
Journal:  Exp Brain Res       Date:  1997-06       Impact factor: 1.972

4.  A cognitive framework for explaining serial processing and sequence execution strategies.

Authors:  Willem B Verwey; Charles H Shea; David L Wright
Journal:  Psychon Bull Rev       Date:  2015-02

Review 5.  Motor skill learning between selection and execution.

Authors:  Jörn Diedrichsen; Katja Kornysheva
Journal:  Trends Cogn Sci       Date:  2015-03-05       Impact factor: 20.229

6.  Role for supplementary motor area cells in planning several movements ahead.

Authors:  J Tanji; K Shima
Journal:  Nature       Date:  1994-09-29       Impact factor: 49.962

7.  Independence of Movement Preparation and Movement Initiation.

Authors:  Adrian M Haith; Jina Pakpoor; John W Krakauer
Journal:  J Neurosci       Date:  2016-03-09       Impact factor: 6.167

8.  The Importance of Planning in Motor Learning.

Authors:  Daniel J O'Shea; Krishna V Shenoy
Journal:  Neuron       Date:  2016-11-23       Impact factor: 17.173

9.  Neural Competitive Queuing of Ordinal Structure Underlies Skilled Sequential Action.

Authors:  Katja Kornysheva; Daniel Bush; Sofie S Meyer; Anna Sadnicka; Gareth Barnes; Neil Burgess
Journal:  Neuron       Date:  2019-02-07       Impact factor: 17.173

10.  Control of automated behavior: insights from the discrete sequence production task.

Authors:  Elger L Abrahamse; Marit F L Ruitenberg; Elian de Kleine; Willem B Verwey
Journal:  Front Hum Neurosci       Date:  2013-03-19       Impact factor: 3.169

View more
  6 in total

1.  Repetita iuvant: repetition facilitates online planning of sequential movements.

Authors:  Giacomo Ariani; Young Han Kwon; Jörn Diedrichsen
Journal:  J Neurophysiol       Date:  2020-03-25       Impact factor: 2.714

2.  Motor planning brings human primary somatosensory cortex into action-specific preparatory states.

Authors:  Giacomo Ariani; J Andrew Pruszynski; Jörn Diedrichsen
Journal:  Elife       Date:  2022-01-12       Impact factor: 8.140

3.  Left hemisphere dominance for bilateral kinematic encoding in the human brain.

Authors:  Christina M Merrick; Tanner C Dixon; Assaf Breska; Jack Lin; Edward F Chang; David King-Stephens; Kenneth D Laxer; Peter B Weber; Jose Carmena; Robert Thomas Knight; Richard B Ivry
Journal:  Elife       Date:  2022-03-01       Impact factor: 8.140

Review 4.  Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.

Authors:  Koenraad Vandevoorde; Lukas Vollenkemper; Constanze Schwan; Martin Kohlhase; Wolfram Schenck
Journal:  Sensors (Basel)       Date:  2022-03-23       Impact factor: 3.576

5.  Continuous Head Motion is a Greater Motor Control Challenge than Transient Head Motion in Patients with Loss of Vestibular Function.

Authors:  Lin Wang; Omid A Zobeiri; Jennifer L Millar; Wagner Souza Silva; Michael C Schubert; Kathleen E Cullen
Journal:  Neurorehabil Neural Repair       Date:  2021-08-08       Impact factor: 3.919

6.  Independent generation of sequence elements by motor cortex.

Authors:  Andrew J Zimnik; Mark M Churchland
Journal:  Nat Neurosci       Date:  2021-02-22       Impact factor: 24.884

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.