Biased choice and incentive salience: Implications for addiction.
- Publisher:
- AMER PSYCHOLOGICAL ASSOC
- Publication Type:
- Journal Article
- Citation:
- Behav Neurosci, 2024, 138, (4), pp. 235-243
- Issue Date:
- 2024-08
Open Access
Copyright Clearance Process
- Recently Added
- In Progress
- Open Access
This item is open access.
Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Le Pelley, ME | |
dc.contributor.author | Watson, P | |
dc.contributor.author | Wiers, RW | |
dc.date.accessioned | 2024-10-17T02:50:57Z | |
dc.date.available | 2024-10-17T02:50:57Z | |
dc.date.issued | 2024-08 | |
dc.identifier.citation | Behav Neurosci, 2024, 138, (4), pp. 235-243 | |
dc.identifier.issn | 0735-7044 | |
dc.identifier.issn | 1939-0084 | |
dc.identifier.uri | http://hdl.handle.net/10453/181438 | |
dc.description.abstract | Before we can make any choice, we must gather information from the environment about what our options are. This information-gathering process is critically mediated by attention, and our attention is, in turn, shaped by our previous experiences with-and learning about-stimuli and their consequences. In this review, we highlight studies demonstrating a rapid and automatic influence of reward learning on attentional capture and argue that these findings provide a human analog of sign-tracking behavior observed in nonhuman animals-wherein signals of reward gain incentive salience and become attractive targets for attention (and overt behavior) in their own right. We then consider the implications of this idea for understanding the drivers of cue-controlled behavior, with focus on addiction as a case in which choices with regard to reward-related stimuli can become injurious to health. We argue that motivated behavior in general-and addiction in particular-can be understood within a "biased competition" framework: Different options and outcomes compete for attentional priority as a function of top-down goals, bottom-up salience, and prior experience, and the winner of this competition becomes the target for subsequent outcome-directed and flexible behavior. Finally, we outline the implications of the biased-competition framework for cognitive, behavioral, and socioeconomic interventions for addiction. (PsycInfo Database Record (c) 2024 APA, all rights reserved). | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | AMER PSYCHOLOGICAL ASSOC | |
dc.relation | http://purl.org/au-research/grants/arc/DE200100591 | |
dc.relation.ispartof | Behav Neurosci | |
dc.relation.isbasedon | 10.1037/bne0000583 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 1109 Neurosciences, 1701 Psychology, 1702 Cognitive Sciences | |
dc.subject.classification | Behavioral Science & Comparative Psychology | |
dc.subject.classification | 3209 Neurosciences | |
dc.subject.classification | 5202 Biological psychology | |
dc.subject.classification | 5204 Cognitive and computational psychology | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Motivation | |
dc.subject.mesh | Reward | |
dc.subject.mesh | Choice Behavior | |
dc.subject.mesh | Behavior, Addictive | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Attention | |
dc.subject.mesh | Cues | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Behavior, Addictive | |
dc.subject.mesh | Motivation | |
dc.subject.mesh | Cues | |
dc.subject.mesh | Reward | |
dc.subject.mesh | Choice Behavior | |
dc.subject.mesh | Attention | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Motivation | |
dc.subject.mesh | Reward | |
dc.subject.mesh | Choice Behavior | |
dc.subject.mesh | Behavior, Addictive | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Attention | |
dc.subject.mesh | Cues | |
dc.title | Biased choice and incentive salience: Implications for addiction. | |
dc.type | Journal Article | |
utslib.citation.volume | 138 | |
utslib.location.activity | United States | |
utslib.for | 1109 Neurosciences | |
utslib.for | 1701 Psychology | |
utslib.for | 1702 Cognitive Sciences | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health/Graduate School of Health | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Clinical Psychology | |
utslib.copyright.status | open_access | * |
dc.rights.license | This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ | |
dc.date.updated | 2024-10-17T02:50:56Z | |
pubs.issue | 4 | |
pubs.publication-status | Published | |
pubs.volume | 138 | |
utslib.citation.issue | 4 |
Abstract:
Before we can make any choice, we must gather information from the environment about what our options are. This information-gathering process is critically mediated by attention, and our attention is, in turn, shaped by our previous experiences with-and learning about-stimuli and their consequences. In this review, we highlight studies demonstrating a rapid and automatic influence of reward learning on attentional capture and argue that these findings provide a human analog of sign-tracking behavior observed in nonhuman animals-wherein signals of reward gain incentive salience and become attractive targets for attention (and overt behavior) in their own right. We then consider the implications of this idea for understanding the drivers of cue-controlled behavior, with focus on addiction as a case in which choices with regard to reward-related stimuli can become injurious to health. We argue that motivated behavior in general-and addiction in particular-can be understood within a "biased competition" framework: Different options and outcomes compete for attentional priority as a function of top-down goals, bottom-up salience, and prior experience, and the winner of this competition becomes the target for subsequent outcome-directed and flexible behavior. Finally, we outline the implications of the biased-competition framework for cognitive, behavioral, and socioeconomic interventions for addiction. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Please use this identifier to cite or link to this item:
Download statistics for the last 12 months
Not enough data to produce graph