Next Article in Journal
Securing IoT Sensors Using Sharding-Based Blockchain Network Technology Integration: A Systematic Review
Next Article in Special Issue
Robust EEG Characteristics for Predicting Neurological Recovery from Coma After Cardiac Arrest
Previous Article in Journal
Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals
Previous Article in Special Issue
A Supervised Machine Learning Approach to Classify Brain Morphology of Professional Visual Artists versus Non-Artists
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Functional Magnetic Resonance Imaging Investigation of Hot and Cool Executive Functions in Reward and Competition

by
Hsin-Yu Lin
1,
Hoki Fung
2,3,
Yifan Wang
4,
Roger Chun-Man Ho
5 and
Shen-Hsing Annabel Chen
1,2,6,*
1
Centre for Research and Development in Learning, Nanyang Technological University, Singapore 637335, Singapore
2
Department of Psychology, School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore
3
Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA
4
Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi’an 710062, China
5
Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
6
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore
*
Author to whom correspondence should be addressed.
Sensors 2025, 25(3), 806; https://doi.org/10.3390/s25030806
Submission received: 14 November 2024 / Revised: 13 January 2025 / Accepted: 25 January 2025 / Published: 29 January 2025
(This article belongs to the Special Issue Brain Activity Monitoring and Measurement (2nd Edition))

Abstract

Social and environmental influences are important for learning. However, the influence of reward and competition during social learning is less understood. The literature suggests that the ventromedial prefrontal cortex is implicated in hot executive functioning (EF), while the dorsolateral prefrontal cortex is related to cool EF. In addition, reward processing deficits are associated with atypical connectivity between the nucleus accumbens and the dorsofrontal regions. Here, we used functional magnetic resonance imaging (fMRI) to determine the role of hot and cool EF in reward processing and their relationship to performance under social competition. We adapted a reward-based n-back task to examine the neural correlates of hot and cool EF and the reward influence on performance during competition. A total of 29 healthy adults showed cortical activation associated with individual differences in EF abilities during fMRI scans. Hot and cool EF activated distinct networks in the right insula, hippocampus, left caudate nucleus, and superior parietal gyrus during the no-competition task, while they differentially activated the right precuneus and caudate nucleus in the competition condition. Further analysis revealed correlations between the Hot–Cool network and reward sensitivity and risk-taking behaviour. The findings provided further insights into the neural basis of hot and cool EF engagement in the socio-emotional regulation for learning.
Keywords: hot and cool executive functions; fMRI; social competition; reward sensitivity hot and cool executive functions; fMRI; social competition; reward sensitivity

Share and Cite

MDPI and ACS Style

Lin, H.-Y.; Fung, H.; Wang, Y.; Ho, R.C.-M.; Chen, S.-H.A. A Functional Magnetic Resonance Imaging Investigation of Hot and Cool Executive Functions in Reward and Competition. Sensors 2025, 25, 806. https://doi.org/10.3390/s25030806

AMA Style

Lin H-Y, Fung H, Wang Y, Ho RC-M, Chen S-HA. A Functional Magnetic Resonance Imaging Investigation of Hot and Cool Executive Functions in Reward and Competition. Sensors. 2025; 25(3):806. https://doi.org/10.3390/s25030806

Chicago/Turabian Style

Lin, Hsin-Yu, Hoki Fung, Yifan Wang, Roger Chun-Man Ho, and Shen-Hsing Annabel Chen. 2025. "A Functional Magnetic Resonance Imaging Investigation of Hot and Cool Executive Functions in Reward and Competition" Sensors 25, no. 3: 806. https://doi.org/10.3390/s25030806

APA Style

Lin, H.-Y., Fung, H., Wang, Y., Ho, R. C.-M., & Chen, S.-H. A. (2025). A Functional Magnetic Resonance Imaging Investigation of Hot and Cool Executive Functions in Reward and Competition. Sensors, 25(3), 806. https://doi.org/10.3390/s25030806

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop