Evidence map›Paper›PMID 38406247›Full record

ArticleData in brief2024

An fMRI dataset of social and nonsocial reward processing in young adults.

David V Smith, James Wyngaarden, Cooper J Sharp, Daniel Sazhin, Ori Zaff, Dominic Fareri, Johanna Jarcho

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

David V SmithTemple University, United States.
James WyngaardenTemple University, United States.
Cooper J SharpTemple University, United States.
Daniel SazhinTemple University, United States.
Ori ZaffTemple University, United States.
Dominic FareriAdelphi University, United States.
Johanna JarchoTemple University, United States.
Temple College · USAdelphi University · US

Funding

Social Reward Processing Across the Lifespan: Identifying Risk Factors for Financial ExploitationRF1AG067011 · NIA · TEMPLE UNIV OF THE COMMONWEALTH · PI SMITH, DAVID VICTOR · 2021 to 2021
$2.0M
Using Adolescent Nonverbal Behavior to Predict Aggression Against Bullies and BystandersR21HD093912 · NICHD · TEMPLE UNIV OF THE COMMONWEALTH · PI JARCHO, JOHANNA MOLLY · 2018 to 2019
$426k
The role of social support and close relationships on neural and behavioral computations of valueR15MH122927 · NIMH · ADELPHI UNIVERSITY · PI FARERI, DOMINIC · 2020 to 2020
$388k
Aberrant Reward Sensitivity: Mechanisms Underlying Substance UseR03DA046733 · NIDA · TEMPLE UNIV OF THE COMMONWEALTH · PI SMITH, DAVID VICTOR · 2019 to 2019
$229k
NIA NIH HHS RF1 AG067011NICHD NIH HHS R21 HD093912NIDA NIH HHS R03 DA046733NIMH NIH HHS R15 MH122927
6 · The paper itself

Abstract

Trait reward sensitivity, risk for developing substance use, and mood disorders have each been linked with altered striatal responses to reward. Moreover, striatal response to reward is sensitive to social context, such as the presence of a peer, and drugs are often sought out and consumed in social contexts or as a result of social experiences. Thus, mood disorder symptoms, striatal responses to social context and social reward may play a role in substance use. To investigate this possibility, this dataset was collected as part of a National Institute on Drug Abuse (NIDA) grant titled "Aberrant Reward Sensitivity: Mechanisms Underlying Substance Use" (R03-DA046733). The overarching goal was to characterize the associations between neural responses to social and nonsocial rewards, trait reward sensitivity, substance use, and mood disorder symptoms. After obtaining questionnaire data quantifying reward sensitivity, substance use, and other psychosocial characteristics, young adults (N=59; 14 male, 45 female; mean age: 20.89 years ± 1.75 years) completed four fMRI tasks testing different features of social and reward processing. These included: 1) a strategic reward-based decision-making task with Ultimatum and Dictator Game conditions; 2) a task where participants shared rewards or losses with peers, strangers, or non-human partners; 3) a task in which participants received well-matched social and monetary rewards and punishment; and 4) a monetary incentive delay (MID) task in which participants tried to obtain or avoid rewards and losses of different magnitude. This dataset includes sociodemographic questionnaire data, anatomical, task-based fMRI, and corresponding behavioral task-based data. We outline several opportunities for extension and reuse, including exploration of individual differences, cross-task comparisons, and representational similarity analyses.

Indexed as

BrainDecision makingfMRIFunctional magnetic resonance imagingReward sensitivitySubstance use

Identifiers

PMID38406247
PMCPMC10885710
OpenAlexW4391847956

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.