Frontal circuit specialisations for decision making
- PMID: 33864305
- DOI: 10.1111/ejn.15236
Frontal circuit specialisations for decision making
Abstract
There is widespread consensus that distributed circuits across prefrontal and anterior cingulate cortex (PFC/ACC) are critical for reward-based decision making. The circuit specialisations of these areas in primates were likely shaped by their foraging niche, in which decision making is typically sequential, attention-guided and temporally extended. Here, I argue that in humans and other primates, PFC/ACC circuits are functionally specialised in two ways. First, microcircuits found across PFC/ACC are highly recurrent in nature and have synaptic properties that support persistent activity across temporally extended cognitive tasks. These properties provide the basis of a computational account of time-varying neural activity within PFC/ACC as a decision is being made. Second, the macrocircuit connections (to other brain areas) differ between distinct PFC/ACC cytoarchitectonic subregions. This variation in macrocircuit connections explains why PFC/ACC subregions make unique contributions to reward-based decision tasks and how these contributions are shaped by attention. They predict dissociable neural representations to emerge in orbitofrontal, anterior cingulate and dorsolateral prefrontal cortex during sequential attention-guided choice, as recently confirmed in neurophysiological recordings.
Keywords: computational model; neuroeconomics; neurophysiology; prefrontal cortex; reward.
© 2021 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
Similar articles
-
Working Memory and Decision-Making in a Frontoparietal Circuit Model.J Neurosci. 2017 Dec 13;37(50):12167-12186. doi: 10.1523/JNEUROSCI.0343-17.2017. Epub 2017 Nov 7. J Neurosci. 2017. PMID: 29114071 Free PMC article.
-
Dissociable components of rule-guided behavior depend on distinct medial and prefrontal regions.Science. 2009 Jul 3;325(5936):52-8. doi: 10.1126/science.1172377. Science. 2009. PMID: 19574382
-
Orexin 1 receptors in the anterior cingulate and orbitofrontal cortex regulate cost and benefit decision-making.Prog Neuropsychopharmacol Biol Psychiatry. 2019 Mar 8;89:227-235. doi: 10.1016/j.pnpbp.2018.09.006. Epub 2018 Sep 14. Prog Neuropsychopharmacol Biol Psychiatry. 2019. PMID: 30222989
-
The differential neural substrates for reward choice under gain-loss contexts and risk in alcohol use disorder: Evidence from a voxel-based meta-analysis.Drug Alcohol Depend. 2023 Jul 1;248:109912. doi: 10.1016/j.drugalcdep.2023.109912. Epub 2023 May 4. Drug Alcohol Depend. 2023. PMID: 37182355 Review.
-
Reward-dependent learning in neuronal networks for planning and decision making.Prog Brain Res. 2000;126:217-29. doi: 10.1016/S0079-6123(00)26016-0. Prog Brain Res. 2000. PMID: 11105649 Review.
Cited by
-
Self-Awareness of Goals Task (SAGT) and Planning Skills: The Neuroscience of Decision Making.Brain Sci. 2023 Aug 3;13(8):1163. doi: 10.3390/brainsci13081163. Brain Sci. 2023. PMID: 37626519 Free PMC article.
-
Less can be more: Fine tuning the maternal brain.Neurosci Biobehav Rev. 2022 Feb;133:104475. doi: 10.1016/j.neubiorev.2021.11.045. Epub 2021 Dec 2. Neurosci Biobehav Rev. 2022. PMID: 34864004 Free PMC article. Review.
-
Considering What We Know and What We Don't Know: Expectations and Confidence Guide Value Integration in Value-Based Decision-Making.Open Mind (Camb). 2025 Jun 25;9:791-813. doi: 10.1162/opmi.a.3. eCollection 2025. Open Mind (Camb). 2025. PMID: 40642140 Free PMC article.
-
Neural Representation of Costs and Rewards in Decision Making.Brain Sci. 2021 Aug 20;11(8):1096. doi: 10.3390/brainsci11081096. Brain Sci. 2021. PMID: 34439715 Free PMC article. Review.
-
Common neural choice signals can emerge artefactually amid multiple distinct value signals.Nat Hum Behav. 2024 Nov;8(11):2194-2208. doi: 10.1038/s41562-024-01971-z. Epub 2024 Sep 6. Nat Hum Behav. 2024. PMID: 39242928 Free PMC article.
References
-
- Amiez, C., Joseph, J. P., & Procyk, E. (2006). Reward encoding in the monkey anterior cingulate cortex. Cerebral Cortex, 16, 1040-1055. https://doi.org/10.1093/cercor/bhj046
-
- Arieli, A., Ben-Ami, Y., & Rubinstein, A. (2011). Tracking decision makers under uncertainty. American Economic Journal: Microeconomics, 3, 68-76. https://doi.org/10.1257/mic.3.4.68
-
- Bartra, O., McGuire, J. T., & Kable, J. W. (2013). The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. NeuroImage, 76, 412-427. https://doi.org/10.1016/j.neuroimage.2013.02.063
-
- Behrens, T. E. J., Muller, T. H., Whittington, J. C. R., Mark, S., Baram, A. B., Stachenfeld, K. L., & Kurth-Nelson, Z. (2018). What is a cognitive map? Organizing knowledge for flexible behavior. Neuron, 100, 490-509. https://doi.org/10.1016/j.neuron.2018.10.002
-
- Bogacz, R., Brown, E., Moehlis, J., Holmes, P., & Cohen, J. D. (2006). The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks. Psychological Review, 113, 700-765. https://doi.org/10.1037/0033-295X.113.4.700
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous