Evidence map›Paper›PMID 34910931›Full record

ReviewNeuroscience and biobehavioral reviews2022

Aversive motivation and cognitive control.

Debbie M Yee, Xiamin Leng, Amitai Shenhav, Todd S Braver

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  16. Cognitive Effort-Based Decision-Making Across Experimental and Daily Life Indices in Younger and Older Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Debbie M YeeCognitive, Linguistic, and Psychological Sciences, Brown University, USA; Carney Institute for Brain Science, Brown University, USA; Department of Psychological and Brain Sciences, Washington University in Saint Louis, USA. Electronic address: debbie_yee@brown.edu.
Xiamin LengCognitive, Linguistic, and Psychological Sciences, Brown University, USA; Carney Institute for Brain Science, Brown University, USA.
Amitai ShenhavCognitive, Linguistic, and Psychological Sciences, Brown University, USA; Carney Institute for Brain Science, Brown University, USA.
Todd S BraverDepartment of Psychological and Brain Sciences, Washington University in Saint Louis, USA.

Funding

AGING AND DEVELOPMENTT32AG000030 · NIA · WASHINGTON UNIVERSITY · PI DENISE HEAD, Jeffrey M Zacks · 1985 to 2026
$9.7M
Dual Mechanisms of Cognitive ControlR37MH066078 · NIMH · WASHINGTON UNIVERSITY · PI BRAVER, TODD S · 2013 to 2022
$7.2M
Brown Postdoctoral Training Program in Computational PsychiatryT32MH126388 · NIMH · BROWN UNIVERSITY · PI MICHAEL J. FRANK, STEPHANIE Ruggiano JONES · 2021 to 2026
$2.1M
Training Program for Interactionist Cognitive Neuroscience (ICoN)T32MH115895 · NIMH · BROWN UNIVERSITY · PI MICHAEL J. FRANK, STEPHANIE Ruggiano JONES · 2019 to 2026
$1.8M
Interdisciplinary Training in Cognitive, Computational and Systems NeuroscienceT32NS073547 · NINDS · WASHINGTON UNIVERSITY · PI BARBOUR, DENNIS L, PETERSEN, STEVEN E. · 2011 to 2015
$850k
Healthy Aging and the Cost of Cognitive EffortR21AG067295 · NIA · WASHINGTON UNIVERSITY · PI BRAVER, TODD S, PEELLE, JONATHAN E · 2020 to 2021
$433k
Interactions of Motivation and Cognitive Control in Older Adult Decision-MakingR21AG058206 · NIA · WASHINGTON UNIVERSITY · PI BRAVER, TODD S · 2017 to 2018
$419k
Neural Mechanisms of Incentive Integration and Motivated Cognitive ControlF31DA042574 · NIDA · WASHINGTON UNIVERSITY · PI YEE, DEBBIE · 2016 to 2019
$123k
NIA NIH HHS R21 AG058206NIA NIH HHS R21 AG067295NIA NIH HHS T32 AG000030NIDA NIH HHS F31 DA042574NIMH NIH HHS R37 MH066078NIMH NIH HHS T32 MH115895NIMH NIH HHS T32 MH126388NINDS NIH HHS T32 NS073547
6 · The paper itself

Abstract

Aversive motivation plays a prominent role in driving individuals to exert cognitive control. However, the complexity of behavioral responses attributed to aversive incentives creates significant challenges for developing a clear understanding of the neural mechanisms of this motivation-control interaction. We review the animal learning, systems neuroscience, and computational literatures to highlight the importance of experimental paradigms that incorporate both motivational context manipulations and mixed motivational components (e.g., bundling of appetitive and aversive incentives). Specifically, we postulate that to understand aversive incentive effects on cognitive control allocation, a critical contextual factor is whether such incentives are associated with negative reinforcement or punishment. We further illustrate how the inclusion of mixed motivational components in experimental paradigms enables increased precision in the measurement of aversive influences on cognitive control. A sharpened experimental and theoretical focus regarding the manipulation and assessment of distinct motivational dimensions promises to advance understanding of the neural, monoaminergic, and computational mechanisms that underlie the interaction of motivation and cognitive control.

Indexed as

MotivationRewardAnimalsCognitionHumansPunishmentReinforcement, PsychologyAversive motivationCognitive controlHabenulaMixed motivationNegative reinforcementPunishmentSerotonin

Identifiers

PMID34910931
PMCPMC8792354

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.