Evidence map›Paper›PMID 31743790›Full record

ArticleNeuroImage2020

The effects of age on reward magnitude processing in the monetary incentive delay task.

Isha Dhingra, Sheng Zhang, Simon Zhornitsky, Thang M Le, Wuyi Wang, Herta H Chao, Ifat Levy, Chiang-Shan R Li

Abstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
–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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Food Inhibitory Control and Reward Responsiveness in Healthy Aging.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
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  19. Hyperthymic temperament predicts neural responsiveness for nonmonetary reward.PCN reports : psychiatry and clinical neurosciences · 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

8 authors.

Isha DhingraDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Sheng ZhangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Simon ZhornitskyDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Thang M LeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Wuyi WangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Herta H ChaoDepartment of Medicine, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA.
Ifat LevyDepartment of Comparative Medicine, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA.
Chiang-Shan R LiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA. Electronic address: chiang-shan.li@yale.edu.

Funding

Cognitive control and cocaine dependence: thalamic noradrenergic processesR01DA023248 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2008 to 2018
$4.0M
Neurocognitive Changes from Long-Term Androgen Deprivation Therapy in Prostate Cancer PatientsR01CA218501 · NCI · YALE UNIVERSITY · PI CHAO, HERTA HUEY-AN · 2018 to 2023
$1.9M
Thalamic cortical dysfunction and predictors of relapse in cocaine dependenceK25DA040032 · NIDA · YALE UNIVERSITY · PI ZHANG, SHENG · 2015 to 2019
$834k
Decision making and learning under uncertainty in agingR56AG058769 · NIA · YALE UNIVERSITY · PI LEVY, IFAT · 2018 to 2018
$757k
Imaging the monoaminergic midbrain and cognitive control in cocaine addictionR21DA044749 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2018 to 2019
$704k
Imaging the hypothalamus and motivation deficits in cocaine addictionR21DA045743 · NIDA · YALE UNIVERSITY · PI ZHANG, SHENG · 2019 to 2020
$404k
Aging and cerebral regulation of physiological responses to social emotionsR21MH113134 · NIMH · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2017 to 2018
$397k
Effects of ADT on motivation and emotion function in prostate cancer patients: longitudinal imaging and predictionI01CX001301 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI Herta Huey-An Chao · 2017 to 2026
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CSRD VA I01 CX001301NCI NIH HHS R01 CA218501NIA NIH HHS R56 AG058769NIDA NIH HHS K25 DA040032NIDA NIH HHS R01 DA023248NIDA NIH HHS R21 DA044749NIDA NIH HHS R21 DA045743NIMH NIH HHS R21 MH113134
6 · The paper itself

Abstract

Previous studies have suggested age-related differences in reward-directed behavior and cerebral processes in support of the age effects. However, it remains unclear how age may influence the processing of reward magnitude. Here, with 54 volunteers (22-74 years of age) participating in the Monetary Incentive Delay Task (MIDT) with explicit cues ($1, ¢1, or nil) and timed response to win, we characterized brain activations during anticipation and feedback and the effects of age on these regional activations. Behaviorally, age was associated with less reaction time (RT) difference between dollar and cent trials, as a result of slower response to the dollar trials; i.e., age was positively correlated with RT dollar - RT cent, with RT nil as a covariate. Both age and the RT difference ($1 - ¢1) were correlated with diminished activation of the right caudate head, right anterior insula, supplementary motor area (SMA)/pre-SMA, visual cortex, parahippocampal gyrus, right superior/middle frontal gyri, and left primary motor cortex during anticipation of $1 vs. ¢1 reward. Further, these regional activities mediated the age effects on RT differences. In responses to outcomes, age was associated with decreases in regional activations to dollar vs. cent loss but only because of higher age-related responses to cent losses. Together, these findings suggest age-related differences in sensitivity to the magnitude of reward. With lower cerebral responses during anticipation to win large rewards and higher responses to outcomes of small loss, aging incurs a constricted sensitivity to the magnitude of reward.

Indexed as

AgingAdultAgedAnticipation, PsychologicalBrainBrain MappingFemaleHumansMaleMiddle AgedMotivationReaction TimeYoung AdultAgingfMRIMIDTRewardVentral striatum

Identifiers

PMID31743790
PMCPMC7463276

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.