Dissociation and integration of outcome and state uncertainty signals in cognitive control
- Author
- William Alexander (UGent) , James Deraeve and Eliana Vassena (UGent)
- Organization
- Project
- Abstract
- Signals related to uncertainty are frequently observed in regions of the cognitive control network, including anterior cingulate/medial prefrontal cortex (ACC/mPFC), dorsolateral prefrontal cortex (dlPFC), and anterior insular cortex. Uncertainty generally refers to conditions in which decision variables may assume multiple possible values and can arise at multiple points in the perception-action cycle, including sensory input, inferred states of the environment, and the consequences of actions. These sources of uncertainty are frequently correlated: noisy input can lead to unreliable estimates of the state of the environment, with consequential influences on action selection. Given this correlation amongst various sources of uncertainty, dissociating the neural structures underlying their estimation presents an ongoing issue: a region associated with uncertainty related to outcomes may estimate outcome uncertainty itself, or it may reflect a cascade effect of state uncertainty on outcome estimates. In this study, we derive signals of state and outcome uncertainty from mathematical models of risk and observe regions in the cognitive control network whose activity is best explained by signals related to state uncertainty (anterior insula), outcome uncertainty (dlPFC), as well as regions that appear to integrate the two (ACC/mPFC).
- Keywords
- Behavioral Neuroscience, Cognitive Neuroscience, ANTERIOR CINGULATE CORTEX, PREFRONTAL CORTEX, DECISION-MAKING, INSULA, RISK, ORGANIZATION, SALIENCE, NETWORKS, SYSTEM, CATEGORIZATION, Anterior cingulate, Anterior insula, Dorsolateral prefrontal cortex, Modeling, Risk
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HMXJ5D8G8C44E37543HBKE49
- MLA
- Alexander, William, et al. “Dissociation and Integration of Outcome and State Uncertainty Signals in Cognitive Control.” COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE, vol. 23, no. 3, 2023, pp. 691–704, doi:10.3758/s13415-023-01091-7.
- APA
- Alexander, W., Deraeve, J., & Vassena, E. (2023). Dissociation and integration of outcome and state uncertainty signals in cognitive control. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE, 23(3), 691–704. https://doi.org/10.3758/s13415-023-01091-7
- Chicago author-date
- Alexander, William, James Deraeve, and Eliana Vassena. 2023. “Dissociation and Integration of Outcome and State Uncertainty Signals in Cognitive Control.” COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 23 (3): 691–704. https://doi.org/10.3758/s13415-023-01091-7.
- Chicago author-date (all authors)
- Alexander, William, James Deraeve, and Eliana Vassena. 2023. “Dissociation and Integration of Outcome and State Uncertainty Signals in Cognitive Control.” COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 23 (3): 691–704. doi:10.3758/s13415-023-01091-7.
- Vancouver
- 1.Alexander W, Deraeve J, Vassena E. Dissociation and integration of outcome and state uncertainty signals in cognitive control. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE. 2023;23(3):691–704.
- IEEE
- [1]W. Alexander, J. Deraeve, and E. Vassena, “Dissociation and integration of outcome and state uncertainty signals in cognitive control,” COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE, vol. 23, no. 3, pp. 691–704, 2023.
@article{01HMXJ5D8G8C44E37543HBKE49,
abstract = {{Signals related to uncertainty are frequently observed in regions of the cognitive control network, including anterior cingulate/medial prefrontal cortex (ACC/mPFC), dorsolateral prefrontal cortex (dlPFC), and anterior insular cortex. Uncertainty generally refers to conditions in which decision variables may assume multiple possible values and can arise at multiple points in the perception-action cycle, including sensory input, inferred states of the environment, and the consequences of actions. These sources of uncertainty are frequently correlated: noisy input can lead to unreliable estimates of the state of the environment, with consequential influences on action selection. Given this correlation amongst various sources of uncertainty, dissociating the neural structures underlying their estimation presents an ongoing issue: a region associated with uncertainty related to outcomes may estimate outcome uncertainty itself, or it may reflect a cascade effect of state uncertainty on outcome estimates. In this study, we derive signals of state and outcome uncertainty from mathematical models of risk and observe regions in the cognitive control network whose activity is best explained by signals related to state uncertainty (anterior insula), outcome uncertainty (dlPFC), as well as regions that appear to integrate the two (ACC/mPFC).}},
author = {{Alexander, William and Deraeve, James and Vassena, Eliana}},
issn = {{1530-7026}},
journal = {{COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE}},
keywords = {{Behavioral Neuroscience,Cognitive Neuroscience,ANTERIOR CINGULATE CORTEX,PREFRONTAL CORTEX,DECISION-MAKING,INSULA,RISK,ORGANIZATION,SALIENCE,NETWORKS,SYSTEM,CATEGORIZATION,Anterior cingulate,Anterior insula,Dorsolateral prefrontal cortex,Modeling,Risk}},
language = {{eng}},
number = {{3}},
pages = {{691--704}},
title = {{Dissociation and integration of outcome and state uncertainty signals in cognitive control}},
url = {{http://doi.org/10.3758/s13415-023-01091-7}},
volume = {{23}},
year = {{2023}},
}
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