Orbitofrontal mediation of competitive cue interactions in reward learning
Orbitofrontal mediation of competitive cue interactions in reward learning
批准号:
10046901
负责人:
Andrew Delamater
金额:
$47.1万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-15 至 2024-06-30
关键词:
AODD relapseAdoptedAnimalsAreaAutomobile DrivingBehaviorConflict (Psychology)ConsensusCuesDataEducational process of instructingElectrophysiology (science)ExpectancyExperimental DesignsFutureGoalsHybridsIndividualIndividual DifferencesLearningLesionLightMediationModelingNeuronsNeurosciences ResearchPlayProbabilityProcessPsychological reinforcementRattusResearch Project GrantsRewardsRisk FactorsRoleSignal TransductionSubstance Use DisorderSumSystemTailTestingTrainingUpdateadverse outcomebasecravingdesignexperimental studyformal learninghigh riskimprovedin vivoinsightlearning algorithmlearning extinctionneural correlateneuromechanismnovelnovel therapeutic interventionoptogeneticsperformance testspredictive modelingrelating to nervous systemreward expectancyreward processingself-directed learningtheories
中文摘要
奖励预测线索通过驱动渴望和奖励寻求在物质使用障碍(SUDs)中发挥关键作用
英文摘要
Reward-predictive cues play a key role in substance use disorders (SUDs) by driving craving and reward-seeking
behaviors despite adverse consequences, making it essential to understand how predictive credit is assigned.
The current consensus is that cue-reward learning depends on the computation of prediction error (PEs) by the
dopaminergic system—the teaching signal that drives the updating of associative representations in downstream
areas. The question of how predictive credit is assigned may thus come down to how PE are computed. Early
learning models assumed that each cue generates its own separate PE, implying that credit assignment is simply
determined by each cue’s correlation with reward independently of other cues. Since the discovery of cue-competition phenomena, however, the dominant view has been that reward learning is driven by a single,
aggregate PE shared among all cues, as a result of which only the best reward predictors will acquire substantial
credit and outcompete less well correlated cues. Criticaly, converging evidence suggests that competitive and
noncompetitive learning might be the two ends of a learning-style spectrum of individual differences, with deep
implications for SUDs. We propose that these differences may constitute a risk factor for SUDs because the less
competitive learning is, the more credit will be assigned to as host of cues that would otherwise get outcompeted.
The overarching goal of this research project is to elucidate the neural mechanisms that determine an individual’s
learning style. As a first step in this direction, this proposal focuses on the role of the orbitofrontal cortex, a region
that has been implicated in various aspects of reward processing. We previously hypothesized that OFC acts as
a major hub where reward expectancies elicited by multiple cues can be summed to form an aggregate
expectancy—the key step to computing an aggregate PE. Thus, a clear prediction of this hypothesis is that OFC
should play a critical role in competitive learning. The experiments in this proposal will test this prediction using
in-vivo electrophysiological (Aims 1 and 2) and optogenetic stimulation (Aim 3) in OFC in combination with a
novel task specifically designed to examine individual differences in learning style and their neural substrates.
This task is unique in that it sets competitive and noncompetitive learning styles in conflict with one another.
Preliminary results using this task has confirmed individual differences that correlate with the extent to which
neural activity in OFC encodes reward expectancies based on competitive vs. noncompetitive styles.
Interestingly, both styles are encoded during learning but show different temporal dynamics within the cue epoch,
suggesting the interplay between two relatively independent learning systems. In addition, our pilot data indicates
a causal role of OFC in competitive learning. Findings from this proposal will thus further our understanding of
reward learning mechanism, which is essential for developing new therapeutic strategies for SUDs.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1186/s12933-018-0675-2
发表时间:
2018-02-20
期刊:
Cardiovascular diabetology
影响因子:
9.3
作者:
[Beneit N, Martín-Ventura JL, Rubio-Longás C, Escribano Ó, García-Gómez G, Fernández S, Sesti G, Hribal ML, Egido J, Gómez-Hernández A, Benito M]
通讯作者:
Benito M
DOI:
10.1038/s41598-021-95541-2
发表时间:
2021-08-10
期刊:
Scientific reports
影响因子:
4.6
作者:
[Kang M, Reverte I, Volz S, Kaufman K, Fevola S, Matarazzo A, Alhazmi FH, Marquez I, Iordanova MD, Esber GR]
通讯作者:
Esber GR
DOI:
10.1037/bne0000505
发表时间:
2022-08
期刊:
BEHAVIORAL NEUROSCIENCE
影响因子:
1.9
作者:
[Marquez, Inmaculada, Loewinger, Gabriel, Pedro Vargas, Juan, Carlos Lopez, Juan, Diaz, Estrella, Esber, Guillem R.]
通讯作者:
Esber, Guillem R.
A Multi-Component Approach to Extinction in Pavlovian Learning
-
批准号:8475574
-
项目类别:
-
资助金额:$37.68万
-
财政年份:2012
-
负责人:Andrew Delamater
-
依托单位:
A Multi-Component Approach to Extinction in Pavlovian Learning
-
批准号:8267347
-
项目类别:
-
资助金额:$39.25万
-
财政年份:2012
-
负责人:Andrew Delamater
-
依托单位:
US Specific and General Processes in Pavlovian Learning
-
批准号:6720803
-
项目类别:
-
资助金额:$20.66万
-
财政年份:2003
-
负责人:Andrew Delamater
-
依托单位:
US Specific and General Processes in Pavlovian Learning
-
批准号:6987865
-
项目类别:
-
资助金额:$20.17万
-
财政年份:2003
-
负责人:Andrew Delamater
-
依托单位:
US Specific and General Processes in Pavlovian Learning
-
批准号:6827371
-
项目类别:
-
资助金额:$20.66万
-
财政年份:2003
-
负责人:Andrew Delamater
-
依托单位:
MECHANISMS OF DISCRIMINATIVE RESPONDING
-
批准号:2241149
-
项目类别:
-
资助金额:$2.86万
-
财政年份:1993
-
负责人:Andrew Delamater
-
依托单位:
MECHANISMS OF DISCRIMINATIVE RESPONDING
-
批准号:3053139
-
项目类别:
-
资助金额:$2.27万
-
财政年份:1992
-
负责人:Andrew Delamater
-
依托单位:
MECHANISMS OF DISCRIMINATIVE RESPONDING
-
批准号:3053138
-
项目类别:
-
资助金额:$2.0万
-
财政年份:1991
-
负责人:Andrew Delamater
-
依托单位:
海外基金