Intention understanding over T: a neuroimaging study on shared representations and tennis return predictions

Area of Science:

• Neuroscience
• Sports Science
• Cognitive Psychology

Background:

• Understanding intention prediction in sports like tennis enhances knowledge of social cognition.
• Anticipating others' actions relies on predictive models of behavior, formed from shared representations between observer and actor.
• Accurate intention inference is challenged when actions are initiated without prior intent signaling.

Purpose of the Study:

• To investigate how tennis expertise influences the accuracy of predicting an opponent's serve intention.
• To explore the neural correlates associated with accurate versus inaccurate intention prediction in tennis players.
• To test the hypothesis that prior knowledge of an actor's intention is crucial for accurate prediction.

Main Methods:

• Recorded brain activity (EEG/fMRI) of 25 male tennis players performing a novel intention inference task.
• Utilized video clips of tennis serves in two conditions: initially intended serves and non-initially intended serves.
• Analyzed neural recruitment in relation to prediction accuracy and tennis expertise.

Main Results:

• Tennis expertise correlated with accurate intention prediction only when the server knew their intention before the ball toss.
• Accurate predictions engaged the human mirror neuron system (cortical) and the caudate nucleus (subcortical, procedural memory).
• Inaccurate predictions involved brain regions associated with low-level, bottom-up processing and self-other distinction.

Conclusions:

• Tennis expertise enhances predictive accuracy for intended actions when intentions are signaled early.
• Neural mechanisms for accurate intention prediction involve higher-order social cognition (mirror neurons) and procedural learning.
• Distinct neural pathways are recruited for accurate (top-down) versus inaccurate (bottom-up) intention inference.