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Is Avoiding an Aversive Outcome Rewarding? Neural Substrates of Avoidance Learning in the Human Brain
Open accessAbstract
Avoidance learning poses a challenge for reinforcement-based theories of instrumental conditioning, because once an aversive outcome is successfully avoided an individual may no longer experience extrinsic reinforcement for their behavior. One possible account for this is to propose that avoiding an aversive outcome is in itself a reward, and thus avoidance behavior is positively reinforced on each trial when the aversive outcome is successfully avoided. In the present study we aimed to test this possibility by determining whether avoidance of an aversive outcome recruits the same neural circuitry as that elicited by a reward itself. We scanned 16 human participants with functional MRI while they performed an instrumental choice task, in which on each trial they chose from one of two actions in order to either win money or else avoid losing money. Neural activity in a region previously implicated in encoding stimulus reward value, the medial orbitofrontal cortex, was found to increase, not only following receipt of reward, but also following successful avoidance of an aversive outcome. This neural signal may itself act as an intrinsic reward, thereby serving to reinforce actions during instrumental avoidance.
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Citations
Cites
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Insensitivity to future consequences following damage to human prefrontal cortex
Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994) · Cognition · doi:10.1016/0010-0277(94)90018-3 · Cited by 6,128
Pearce, J. M., & Hall, G. (1980) · Psychological Review · doi:10.1037/0033-295x.87.6.532 · Cited by 3,023 · cited 1×
“at the time of outcome [3–9].”
Blood, A. J., & Zatorre, R. J. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191355898 · Cited by 2,814
A theory of attention: Variations in the associability of stimuli with reinforcement
Mackintosh, N. J. (1975) · Psychological Review · doi:10.1037/h0076778 · Cited by 2,733
Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning
O'Doherty, J., Dayan, P., Schultz, J., Deichmann, R., Friston, K., & Dolan, R. J. (2004) · Science · doi:10.1126/science.1094285 · Cited by 2,088
Self-citationAn opponent-process theory of motivation. I. Temporal dynamics of affect
Solomon, R. L., & Corbit, J. D. (1974) · Psychological Review · doi:10.1037/h0036128 · Cited by 1,704
Temporal difference models and reward-related learning in the human brain
O'Doherty, J. P., Dayan, P., Friston, K., Critchley, H., & Dolan, R. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00169-7 · Cited by 1,522
Self-citationChanges in brain activity related to eating chocolate: From pleasure to aversion
Small, D. M. (2001) · Brain · doi:10.1093/brain/124.9.1720 · Cited by 1,179
Animal intelligence; experimental studies
Thorndike, E. L. (1911) · doi:10.5962/bhl.title.55072 · Cited by 1,100
Dissociated neural representations of intensity and valence in human olfaction
Anderson, A. K., Christoff, K., Stappen, I., Panitz, D., Ghahremani, D. G., Glover, G., Gabrieli, J. D. E., & Sobel, N. (2003) · Nature Neuroscience · doi:10.1038/nn1001 · Cited by 1,054
Temporal Prediction Errors in a Passive Learning Task Activate Human Striatum
McClure, S. M., Berns, G. S., & Montague, P. R. (2003) · Neuron · doi:10.1016/s0896-6273(03)00154-5 · Cited by 917
A cellular mechanism of reward-related learning
Reynolds, J. N. J., Hyland, B. I., & Wickens, J. R. (2001) · Nature · doi:10.1038/35092560 · Cited by 879
Optimized EPI for fMRI studies of the orbitofrontal cortex
Deichmann, R., Gottfried, J. A., Hutton, C., & Turner, R. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00073-9 · Cited by 821
Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops
Tanaka, S. C., Doya, K., Okada, G., Ueda, K., Okamoto, Y., & Yamawaki, S. (2004) · Nature Neuroscience · doi:10.1038/nn1279 · Cited by 779
O'Doherty, J., Critchley, H., Deichmann, R., & Dolan, R. J. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-21-07931.2003 · Cited by 611
Self-citationTemporal difference models describe higher-order learning in humans
Seymour, B., O'Doherty, J. P., Dayan, P., Koltzenburg, M., Jones, A. K., Dolan, R. J., Friston, K. J., & Frackowiak, R. S. (2004) · Nature · doi:10.1038/nature02581 · Cited by 605
Self-citationDirect Activation of the Ventral Striatum in Anticipation of Aversive Stimuli
Jensen, J., McIntosh, A. R., Crawley, A. P., Mikulis, D. J., Remington, G., & Kapur, S. (2003) · Neuron · doi:10.1016/s0896-6273(03)00724-4 · Cited by 455
Opponent appetitive-aversive neural processes underlie predictive learning of pain relief
Seymour, B., O'Doherty, J. P., Koltzenburg, M., Wiech, K., Frackowiak, R., Friston, K., & Dolan, R. (2005) · Nature Neuroscience · doi:10.1038/nn1527 · Cited by 439
Self-citationOrbitofrontal cortex, associative learning and expectancies
Schoenbaum, G., & Roesch, M. (2005) · Neuron · doi:10.1016/j.neuron.2005.07.018 · Cited by 404
Inverse amygdala and medial prefrontal cortex responses to surprised faces
Kim, H., Somerville, L. H., Johnstone, T., Alexander, A. L., & Whalen, P. J. (2003) · NeuroReport · doi:10.1097/00001756-200312190-00006 · Cited by 359
Self-citationInhibition of avoidance behavior.
Rescorla, R. A., & Lolordo, V. M. (1965) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0022060 · Cited by 323
O'Doherty, J. P., Buchanan, T. W., Seymour, B., & Dolan, R. J. (2006) · Neuron · doi:10.1016/j.neuron.2005.11.014 · Cited by 322
Self-citation
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The reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718
Balleine, B. W., & O'Doherty, J. P. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.131 · Cited by 1,775
Self-citationConflict monitoring and decision making: Reconciling two perspectives on anterior cingulate function
BOTVINICK, M. M. (2007) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.7.4.356 · Cited by 1,117
The Nucleus Accumbens: An Interface Between Cognition, Emotion, and Action
Floresco, S. B. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010213-115159 · Cited by 938
Liu, X., Hairston, J., Schrier, M., & Fan, J. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.12.012 · Cited by 916
Metadata
- Authors
- Kim, H., Shimojo, S., & O'Doherty, J. P.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2006-07-04
- Volume
- 4
- Issue
- 8
- Pages
- e233
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2004167381
- Cited by
- 453
- References
- 23
- FWCI
- 12.13
- Type
- journal article
- Language
- en
- Open access
- gold
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