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Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex
Open accessAbstract
A considerable body of previous research on the prefrontal cortex (PFC) has helped characterize the regional specificity of various cognitive functions, such as cognitive control and decision making. Here we provide definitive findings on this topic, using a neuropsychological approach that takes advantage of a unique dataset accrued over several decades. We applied voxel-based lesion-symptom mapping in 344 individuals with focal lesions (165 involving the PFC) who had been tested on a comprehensive battery of neuropsychological tasks. Two distinct functional-anatomical networks were revealed within the PFC: one associated with cognitive control (response inhibition, conflict monitoring, and switching), which included the dorsolateral prefrontal cortex and anterior cingulate cortex and a second associated with value-based decision-making, which included the orbitofrontal, ventromedial, and frontopolar cortex. Furthermore, cognitive control tasks shared a common performance factor related to set shifting that was linked to the rostral anterior cingulate cortex. By contrast, regions in the ventral PFC were required for decision-making. These findings provide detailed causal evidence for a remarkable functional-anatomical specificity in the human PFC.
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“The VMPFC has long been implicated in reward-related decision-making (Bechara et al., 1997, 2005; Glascher et al., 2012)”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Glascher et al., 2012
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1 retracted
Savine, A. C., & Braver, T. S. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2052-10.2010 · Cited by 125
RetractedMiyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0734 · Cited by 15,798
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
DESCARTES' ERROR: Emotion, Reason, and the Human Brain
Marg, E. (1995) · Optometry and Vision Science · doi:10.1002/j.1538-9235.1995.tb03988.x · Cited by 8,178
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351
Attention to Action: Willed and Automatic Control of Behavior
Norman, D. A., & Shallice, T. (1986) · Consciousness and Self-Regulation · doi:10.1007/978-1-4757-0629-1_1 · Cited by 4,455
MacDonald, A. W., Cohen, J. D., Stenger, V. A., & Carter, C. S. (2000) · Science · doi:10.1126/science.288.5472.1835 · Cited by 3,666
Emotion, Decision Making and the Orbitofrontal Cortex
Bechara, A. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.295 · Cited by 3,589
Wisconsin Card Sorting Test Manual – Revised and Expanded
Heaton, R. K., Chelune, C., Talley, J., Kay, G., & Curtiss, G. (1981) · Medical Entomology and Zoology · Cited by 2,975
Ongur, D. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.206 · Cited by 2,627
Research works printed but not linked: 1
- MD Lezak D Howeison E Bigler D Tranel Neuropsychological Assessment (Oxford Univ Press New York) 5th Ed. (2012).
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Mackenzie, G. M., Gilmour, W., Barnard, I. R. M., Yang, S.-S., Suveges, S., Macfarlane, J. A., Kanodia, A. K., Manfield, J., Khan, S., Osman‐Farah, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.03.657634 · Cited by 1
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Rubin, R. D. (2013) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
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Valadao, D. F. (2016) · UWSpace (University of Waterloo)
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Ribeiro, B. (2016) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
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Metadata
- Authors
- Gläscher, J., Adolphs, R., Damasio, H., Bechara, A., Rudrauf, D., Calamia, M., Paul, L. K., & Tranel, D.
- Affiliations
- California Institute of Technology (US)
- Dana and David Dornsife Cognitive Neuroscience Imaging Institute and
- University of Southern California (US)
- Departments of gNeurology and
- University of Iowa (US)
- Divisions of aHumanities and Social Sciences and
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2012-08-20
- Volume
- 109
- Issue
- 36
- Pages
- 14681-14686
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3437894
- OpenAlex
- W1998128125
- Cited by
- 476
- References
- 70
- Citations by year
- 2026: 17 · 2025: 19 · 2024: 29 · 2023: 26 · 2022: 22 · 2021: 38 · 2020: 31 · 2019: 73 · 2018: 30 · 2017: 38 · 2016: 33 · 2015: 37 · 2014: 44 · 2013: 36
- FWCI
- 19.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Civil War Book Review (submittedVersion)
- Funders
- National Institutes of Health (5p50ns019632-28)
- National Institute of Mental Health (P50MH094258)
- National Institute on Drug Abuse (R01DA022549)
- National Institute of Neurological Disorders and Stroke (P50-NS019632, P50NS19632)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- prefrontal cortex, cognitive control, value-based decision making, lesion-symptom mapping, dorsolateral prefrontal cortex, anterior cingulate cortex, orbitofrontal cortex, ventromedial prefrontal cortex, frontopolar cortex, response inhibition, conflict monitoring, set-shifting
- MeSH terms
- Cognition, Decision Making, Gyrus Cinguli, Humans, Iowa, Magnetic Resonance Imaging, Nerve Net, Neuropsychological Tests, Social Values, Tomography, X-Ray Computed, Linear Models, Prefrontal Cortex, Executive Function
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