ArticleExperimental brain research2019
Predicting the fate of basketball throws: an EEG study on expert action prediction in wheelchair basketball players.
Article in Experimental brain research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Behavioral and neural evidence for perceptual predictions in social interactions.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The dopaminergic system supports flexible and rewarding dyadic motor interactive behaviour in Parkinson's Disease.Social cognitive and affective neuroscience · 2023Article
- Midfrontal-occipital θ-tACS modulates cognitive conflicts related to bodily stimuli.Social cognitive and affective neuroscience · 2022Article
- Development of Basketball Tactics Basic Cooperation Teaching System Based on CNN and BP Neural Network.Computational intelligence and neuroscience · 2021Article
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Authors and funding
5 authors.
Funding
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.
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Registered trials
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