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To run or not to run? Differences in implicit attitudes towards running: An EEG study
Yu-Bu Wang1, Liu Yang2, Zhi-Xiong Mao1
1Beijing Sport University, School of Psychology, No. 48 Xinxi Road, Haidian District, Beijing 100084, China.
Behavioural Brain Research
|August 30, 2023
Summary
Runners exhibit more positive implicit attitudes towards exercise than non-runners. Brain activity patterns, measured by electroencephalography (EEG), reveal distinct neural processing efficiencies linked to exercise behavior and prediction.
Area of Science:
- Neuroscience
- Psychology
- Sports Science
Background:
- Understanding exercise motivation is crucial for public health.
- Implicit attitudes, distinct from explicit beliefs, significantly influence behavior.
- Differences in implicit attitudes may explain variations in exercise participation.
Purpose of the Study:
- To investigate implicit (affective and instrumental) attitude differences between runners and non-runners.
- To explore the neural mechanisms underlying these attitude differences using electroencephalography (EEG).
- To identify potential neurophysiological markers for predicting exercise behavior.
Main Methods:
- 31 participants completed the Affective and Instrumental Implicit Associations Test (IAT).
- Electroencephalography (EEG) recorded brain activity during the IAT.
- Analysis focused on behavioral responses and event-related potential (ERP) indicators, specifically N1 amplitudes.
Main Results:
- Runners demonstrated significantly more positive implicit attitudes (affective and instrumental) compared to non-runners.
- EEG data revealed distinct patterns of cortical functional connectivity between groups.
- Runners showed higher connectivity in compatible conditions, while non-runners exhibited the opposite pattern.
Conclusions:
- Implicit attitudes towards exercise are associated with participation levels.
- Neural processing efficiency, particularly cortical connectivity, underlies these attitude differences.
- Event-related potential (ERP) indicators like N1 amplitudes show promise for predicting exercise engagement.

