Independent and interacting value systems for reward and information in the human brain
- Author
- Irene Cogliati Dezza (UGent) , Axel Cleeremans and William Alexander (UGent)
- Organization
- Project
- Abstract
- Theories of prefrontal cortex (PFC) as optimizing reward value have been widely deployed to explain its activity in a diverse range of contexts, with substantial empirical support in neuroeconomics and decision neuroscience. Similar neural circuits, however, have also been associated with information processing. By using computational modeling, model-based functional magnetic resonance imaging analysis, and a novel experimental paradigm, we aim at establishing whether a dedicated and independent value system for information exists in the human PFC. We identify two regions in the human PFC that independently encode reward and information. Our results provide empirical evidence for PFC as an optimizer of independent information and reward signals during decision-making under realistic scenarios, with potential implications for the interpretation of PFC activity in both healthy and clinical populations.
- Keywords
- PFC, RL, information, None, VENTROMEDIAL PREFRONTAL CORTEX, ANTERIOR CINGULATE, DECISION-MAKING, NEURAL MECHANISMS, INFERENCE, VALUATION, CHOICE, REPRESENTATION, NEUROBIOLOGY, EXPLORATION
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GMWZ4Q2JB7E9TTVNA19E98WX
- MLA
- Cogliati Dezza, Irene, et al. “Independent and Interacting Value Systems for Reward and Information in the Human Brain.” ELIFE, vol. 11, 2022, doi:10.7554/elife.66358.
- APA
- Cogliati Dezza, I., Cleeremans, A., & Alexander, W. (2022). Independent and interacting value systems for reward and information in the human brain. ELIFE, 11. https://doi.org/10.7554/elife.66358
- Chicago author-date
- Cogliati Dezza, Irene, Axel Cleeremans, and William Alexander. 2022. “Independent and Interacting Value Systems for Reward and Information in the Human Brain.” ELIFE 11. https://doi.org/10.7554/elife.66358.
- Chicago author-date (all authors)
- Cogliati Dezza, Irene, Axel Cleeremans, and William Alexander. 2022. “Independent and Interacting Value Systems for Reward and Information in the Human Brain.” ELIFE 11. doi:10.7554/elife.66358.
- Vancouver
- 1.Cogliati Dezza I, Cleeremans A, Alexander W. Independent and interacting value systems for reward and information in the human brain. ELIFE. 2022;11.
- IEEE
- [1]I. Cogliati Dezza, A. Cleeremans, and W. Alexander, “Independent and interacting value systems for reward and information in the human brain,” ELIFE, vol. 11, 2022.
@article{01GMWZ4Q2JB7E9TTVNA19E98WX,
abstract = {{Theories of prefrontal cortex (PFC) as optimizing reward value have been widely deployed to explain its activity in a diverse range of contexts, with substantial empirical support in neuroeconomics and decision neuroscience. Similar neural circuits, however, have also been associated with information processing. By using computational modeling, model-based functional magnetic resonance imaging analysis, and a novel experimental paradigm, we aim at establishing whether a dedicated and independent value system for information exists in the human PFC. We identify two regions in the human PFC that independently encode reward and information. Our results provide empirical evidence for PFC as an optimizer of independent information and reward signals during decision-making under realistic scenarios, with potential implications for the interpretation of PFC activity in both healthy and clinical populations.}},
articleno = {{e66358}},
author = {{Cogliati Dezza, Irene and Cleeremans, Axel and Alexander, William}},
issn = {{2050-084X}},
journal = {{ELIFE}},
keywords = {{PFC,RL,information,None,VENTROMEDIAL PREFRONTAL CORTEX,ANTERIOR CINGULATE,DECISION-MAKING,NEURAL MECHANISMS,INFERENCE,VALUATION,CHOICE,REPRESENTATION,NEUROBIOLOGY,EXPLORATION}},
language = {{eng}},
pages = {{22}},
title = {{Independent and interacting value systems for reward and information in the human brain}},
url = {{http://doi.org/10.7554/elife.66358}},
volume = {{11}},
year = {{2022}},
}
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