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Encoding of Reward and Space During a Working Memory Task in the Orbitofrontal Cortex and Anterior Cingulate Sulcus
Open accessAbstract
Several lines of research indicate that emotional and motivational information may be useful in guiding the allocation of attentional resources. Two areas of the frontal lobe that are particularly implicated in the encoding of motivational information are the orbital prefrontal cortex (PFo) and the dorsomedial region of prefrontal cortex, specifically the anterior cingulate sulcus (PFcs). However, it remains unclear whether these areas use this information to influence spatial attention. We used single-unit neurophysiology to examine whether, at the level of individual neurons, there was evidence for integration between reward information and spatial attention. We trained two subjects to perform a task that required them to attend to a spatial location across a delay under different expectancies of reward for correct performance. We balanced the order of presentation of spatial and reward information so we could assess the neuronal encoding of the two pieces of information independently and conjointly. We found little evidence for encoding of the spatial location in either PFo or PFcs. In contrast, both areas encoded the expected reward. Furthermore, PFo consistently encoded reward more quickly than PFcs, although reward encoding was subsequently more prevalent and stronger in PFcs. These results suggest a differential contribution of PFo and PFcs to reward encoding, with PFo potentially more important for initially determining the value of rewards predicted by sensory stimuli. They also suggest that neither PFo nor PFcs play a direct role in the control of spatial attention.
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“Recent studies in nonhuman primates 1) identified the orbitofrontal cortex as a region that processes reward but not working memory-related information [70]”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [70]
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Metadata
- Authors
- Kennerley, S. W., & Wallis, J. D.
- Affiliations
- University of California, Berkeley (US)
- Department of Psychology and Helen Wills Neuroscience Institute, University of California, Berkeley, California
- ORCID
- Kennerley, Steven W.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2009-12
- Volume
- 102
- Issue
- 6
- Pages
- 3352-3364
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- PMC
- PMC2804408
- OpenAlex
- W1976273411
- Cited by
- 108
- References
- 102
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 4 · 2023: 5 · 2021: 6 · 2020: 4 · 2019: 5 · 2018: 10 · 2017: 8 · 2016: 5 · 2015: 7 · 2014: 7 · 2013: 8 · 2012: 8
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institutes of Health (5f32mh081521-02)
- National Institute of Mental Health (F32MH-081521)
- National Institute on Drug Abuse (R01-DA19028, R01DA019028)
- National Institute of Neurological Disorders and Stroke (P01NS040813)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- reward encoding, spatial attention, orbitofrontal cortex, working memory, single-unit recording, reward expectancy, prefrontal cortex, attentional control
- MeSH terms
- Action Potentials, Animals, Attention, Brain Mapping, Gyrus Cinguli, Macaca mulatta, Magnetic Resonance Imaging, Male, Memory, Short-Term, Neurons, Neuropsychological Tests, Regression Analysis, Reward, Space Perception, Time Factors, Prefrontal Cortex
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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