Advanced search
1 file | 1.88 MB Add to list

Independent and interacting value systems for reward and information in the human brain

(2022) ELIFE. 11.
Author
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
General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, General Medicine, General Neuroscience

Downloads

  • (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.88 MB

Citation

Please use this url to cite or link to this publication:

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     = {{General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience}},
  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}},
}

Altmetric
View in Altmetric