Neural Complexity of Implicit Attitudes Predicts Exercise Behavior in Hypertensive Patients: An EEG Entropy Study
EEG entropy, particularly envelope entropy during affective IAT-incompatible tasks, provides superior discrimination of exercise behavior than reaction time measures. This suggests that exercise behavior is closely linked to the neural complexity underlying affective conflict processing. These findings advance our understanding of the neural dynamic patterns linking implicit attitudes and exercise behavior and suggest EEG entropy as a promising tool for assessing and intervening exercise behavior.
Authors
- Xingyi Tang
- Meihua Piao
- Ting Li
- Bo Yao
- Haoming Ma
- Chengzhen Wu
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- University of Macau (MO)
Publication Details
- Journal
- Brain Sciences
- Published
- 2026-02-22
- DOI
- https://doi.org/10.3390/brainsci16020244
- Primary Topic
- Neural and Behavioral Psychology Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00