The neural basis of reversal learning: An updated perspective
Open accessAbstract
Reversal learning paradigms are among the most widely used tests of cognitive flexibility and have been used as assays, across species, for altered cognitive processes in a host of neuropsychiatric conditions. Based on recent studies in humans, non-human primates, and rodents, the notion that reversal learning tasks primarily measure response inhibition, has been revised. In this review, we describe how cognitive flexibility is measured by reversal learning and discuss new definitions of the construct validity of the task that are serving as a heuristic to guide future research in this field. We also provide an update on the available evidence implicating certain cortical and subcortical brain regions in the mediation of reversal learning, and an overview of the principal neurotransmitter systems involved.
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PRL performance depends on complex interactions between several component processes, including sensitivity to positive and negative feedback, response persistence, and exploration versus exploitation, each requiring functional activity in distinct PFC regions and brain regions outside the PFC.
“PRL performance depends on complex interactions between several component processes, including the sensitivity to positive and negative feedback, response persistence and exploration versus exploitation, each of which requires functional activity in distinct PFC regions (Verharen et al., 2018(Verharen et al., , 2020)), as well as brain regions outside the PFC (Izquierdo et al., 2017).”
From Social Play Behavior Is Critical for the Development of Prefrontal Inhibitory Synapses and Cognitive Flexibility in Rats (2022) · cites this paper as Izquierdo et al., 2017
Extensive research in rodents and non-human primates emphasises major roles of fronto-striatal circuits in the ability to respond flexibly.
“Extensive research in rodents and non-human primates emphasises the major roles of fronto-striatal circuits in the ability to respond flexibly [34–42].”
Reversal learning paradigms measure adaptive responding when stimulus-outcome or response-outcome contingencies change.
“These paradigms assess the ability to respond adaptively in the face of changing stimulus–outcome or response–outcome contingencies15.”
From Cognitive and behavioural flexibility: Neural mechanisms and clinical considerations (2021) · cites this paper as [15]
Inactivating the orbitofrontal cortex in rats impairs reversal learning because they perseverate on previously learned choices.
“OFC inactivation in rats impairs reversal learning owing to perseverance of previously learned choices15.”
From Cognitive and behavioural flexibility: Neural mechanisms and clinical considerations (2021) · cites this paper as [15]
Reversal learning paradigms are often used to study cognitive flexibility in both humans and animals.
“To study cognitive flexibility in both humans and animals, reversal learning paradigms are often used.19, 20”
From Behavioral flexibility in a mouse model for obsessive‐compulsive disorder: Impaired Pavlovian reversal learning in SAPAP3 mutants (2019) · cites this paper as [19]
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- Hamilton DA Brigman JL Behavioral flexibility in rats and mice: Contributions of distinct frontocortical regions Genes, Brain and Behavior 2015 PMC4482359 25561028
- Izquierdo A Suda RK Murray EA Bilateral orbital prefrontal cortex lesions in rhesus monkeys disrupt choices guided by both reward value and reward contingency The Journal of neuroscience: the official journal of the Society for Neuroscience 2004b 24 7540 7548 15329401 PMC6729636
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- Rygula R Clarke HF Cardinal RN Cockcroft GJ Xia J Dalley JW Robbins TW Roberts ACTH Role of Central Serotonin in Anticipation of Rewarding and Punishing Outcomes: Effects of Selective Amygdala or Orbitofrontal 5- Cereb Cortex pii: bhu102 2014 [Epub ahead of print] PMC4537445 24879752
- Schoenbaum G Roesch MR Stalnaker TA Takahashi YK A new perspective on the role of the orbitofrontal cortex in adaptive behaviour Nature reviews Neuroscience 2009b 10 885 892 19904278 PMC2835299
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- Authors
- Izquierdo, A., Brigman, J. L., Radke, A. K., Rudebeck, P. H., & Holmes, A.
- Affiliations
- University of California, Los Angeles (US)
- University of New Mexico (US)
- National Institutes of Health (US)
- Icahn School of Medicine at Mount Sinai (US)
- Corresponding author
- Izquierdo, A.
- Venue
- Neuroscience
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 345
- Pages
- 12-26
- ISSN
- 0306-4522 (ISSN-L)
- PMC
- PMC5018909
- OpenAlex
- W2294342312
- Cited by
- 670
- References
- 221
- Citations by year
- 2026: 66 · 2025: 93 · 2024: 89 · 2023: 69 · 2022: 77 · 2021: 79 · 2020: 68 · 2019: 47 · 2018: 36 · 2017: 31 · 2016: 14
- FWCI
- 4.47
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- UCLA Division of Life Sciences Recruitment and Retention
- National Institute on Alcohol Abuse and Alcoholism (1P50AA022534-01)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- reversal learning, cognitive flexibility, response inhibition, construct validity, neural basis, cortical regions, subcortical structures, neurotransmitter systems, neuropsychiatric disorders, non-human primates, rodents
- MeSH terms
- Animals, Brain, Humans, Neurons, Reversal Learning
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