Literature DB >> 31728597

Predicting the fate of basketball throws: an EEG study on expert action prediction in wheelchair basketball players.

D G Özkan1,2, R Pezzetta3, Q Moreau4, A M Abreu5, S M Aglioti6,4.   

Abstract

The ability to anticipate and detect changes in human movement helps people to modify their behaviors in ever changing environments. Studies indicate that expertise modulates observation of domain-specific actions in sports-a process that is crucial for adapting rapidly to a new situation, often before awareness of environmental changes is achieved. Here, we explored the electrophysiological underpinnings of wheelchair basketball players predicting the fate of free throws performed by wheelchair basketball athletes. We performed electroencephalography (EEG) in semi-professional wheelchair players with different degrees of expertise (players) and in ambulant, non-expert people (controls) while they observed movie stimuli of a free throw that could land inside or outside the basket. On each trial, participants were asked to predict the outcome of the throw. For each group, event-related potentials (ERPs) were averaged as a function of condition, using only the trials that were correctly predicted. Results show that compared to controls, expert players exhibit a greater negative amplitude of oCNV over Pz (an observational contingent negative variation-like waveform which is considered a marker of action effect prediction) during the wrist movement preceding the ball release (the last 100 ms of the shot), which carries the most crucial kinematic information regarding the fate of the throw. Our data provide further support to the view that functional modulation of the action observation network is associated with expertise.

Entities:  

Keywords:  Action observation; Action prediction; EEG; Expertise

Mesh:

Year:  2019        PMID: 31728597     DOI: 10.1007/s00221-019-05677-x

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  60 in total

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Journal:  Neuroimage       Date:  2015-09-05       Impact factor: 6.556

2.  Electrocortical signatures of detecting errors in the actions of others: An EEG study in pianists, non-pianist musicians and musically naïve people.

Authors:  M S Panasiti; E F Pavone; S M Aglioti
Journal:  Neuroscience       Date:  2016-01-14       Impact factor: 3.590

3.  Mapping implied body actions in the human motor system.

Authors:  Cosimo Urgesi; Valentina Moro; Matteo Candidi; Salvatore M Aglioti
Journal:  J Neurosci       Date:  2006-07-26       Impact factor: 6.167

4.  Seeing or doing? Influence of visual and motor familiarity in action observation.

Authors:  Beatriz Calvo-Merino; Julie Grèzes; Daniel E Glaser; Richard E Passingham; Patrick Haggard
Journal:  Curr Biol       Date:  2006-10-10       Impact factor: 10.834

5.  The role of visual perception in action anticipation in basketball athletes.

Authors:  Y Wu; Y Zeng; L Zhang; S Wang; D Wang; X Tan; X Zhu; J Zhang; J Zhang
Journal:  Neuroscience       Date:  2013-02-04       Impact factor: 3.590

Review 6.  Catching on it early: Bodily and brain anticipatory mechanisms for excellence in sport.

Authors:  Ana M Abreu; Matteo Candidi; Salvatore M Aglioti
Journal:  Prog Brain Res       Date:  2017-09-22       Impact factor: 2.453

7.  Neural Correlates of Expert Behavior During a Domain-Specific Attentional Cueing Task in Badminton Players.

Authors:  Chun-Hao Wang; Kuo-Cheng Tu
Journal:  J Sport Exerc Psychol       Date:  2017-09-11       Impact factor: 3.016

Review 8.  Perception as a Route for Motor Skill Learning: Perspectives from Neuroscience.

Authors:  Ori Ossmy; Roy Mukamel
Journal:  Neuroscience       Date:  2018-04-22       Impact factor: 3.590

9.  One wouldn't expect an expert bowler to hit only two pins: Hierarchical predictive processing of agent-caused events.

Authors:  Lieke Heil; Johan Kwisthout; Stan van Pelt; Iris van Rooij; Harold Bekkering
Journal:  Q J Exp Psychol (Hove)       Date:  2018-01-23       Impact factor: 2.143

10.  Action Observation Areas Represent Intentions From Subtle Kinematic Features.

Authors:  Atesh Koul; Andrea Cavallo; Franco Cauda; Tommaso Costa; Matteo Diano; Massimiliano Pontil; Cristina Becchio
Journal:  Cereb Cortex       Date:  2018-07-01       Impact factor: 5.357

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  2 in total

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Journal:  PLoS One       Date:  2022-01-18       Impact factor: 3.240

2.  Midfrontal-occipital θ-tACS modulates cognitive conflicts related to bodily stimuli.

Authors:  Gabriele Fusco; Martina Fusaro; Salvatore Maria Aglioti
Journal:  Soc Cogn Affect Neurosci       Date:  2022-02-03       Impact factor: 3.436

  2 in total

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