Evidence map›Paper›PMID 40867351›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Reward Network Activations of Win Versus Loss in a Monetary Gambling Task.

Chella Kamarajan, Babak A Ardekani, Ashwini K Pandey, Gayathri Pandey, Sivan Kinreich, Weipeng Kuang, Jacquelyn L Meyers, Bernice Porjesz

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chella KamarajanHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA.ORCID 0000-0003-2291-6880
Babak A ArdekaniCenter for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA.ORCID 0000-0002-1292-2657
Ashwini K PandeyHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA.ORCID 0000-0002-2688-7901
Gayathri PandeyHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA.
Sivan KinreichHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA.
Weipeng KuangHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA.ORCID 0009-0008-2622-2556
Jacquelyn L MeyersHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA.
Bernice PorjeszHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA.

Funding

BRAIN DYSFUNCTION AND ALCOHOLISMR01AA002686 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI PORJESZ, BERNICE · 1985 to 2018
$9.6M
Brain Function and Neurogenomic influences on AUD risk and resilience.R01AA028848 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI KAMARAJAN, CHELLA, MEYERS, JACQUELYN LEIGH · 2021 to 2025
$2.6M
NIAAA NIH HHS R01 AA002686NIAAA NIH HHS R01 AA028848NIH HHS 1R01AA002686-20A1NIH HHS 1R01AA028848-21A1
6 · The paper itself

Abstract

Reward processing is a vital function for health and survival and is impaired in various psychiatric and neurological disorders. Using a monetary gambling task, the current study aims to elucidate neural substrates in the reward network underlying the evaluation of win versus loss outcomes and their association with behavioral characteristics, such as impulsivity and task performance, and neuropsychological functioning. Functional MRI was recorded in thirty healthy, male community volunteers (mean age = 27.4 years) while they performed a monetary gambling task in which they bet with either 10 or 50 tokens and received feedback on whether they won or lost the bet amount. Results showed that a set of key brain structures in the reward network, including the putamen, caudate nucleus, superior and inferior parietal lobule, angular gyrus, and Rolandic operculum, had greater blood oxygenation level-dependent (BOLD) signals during win relative to loss trials, and the BOLD signals in most of these regions were highly correlated with one another. Furthermore, exploratory bivariate analyses between these reward-related regions and behavioral and neuropsychological domains showed significant correlations with moderate effect sizes, including (i) negative correlations between non-planning impulsivity and activations in the putamen and caudate regions, (ii) positive correlations between risky bets and right putamen activation, (iii) negative correlations between safer bets and right putamen activation, (iv) a negative correlation between short-term memory capacity and right putamen activity, and (v) a negative correlation between poor planning skills and left inferior occipital cortex activation. These findings contribute to our understanding of the neural underpinnings of monetary reward processing and their relationships to aspects of behavior and cognitive function. Future studies may confirm these findings with larger samples of healthy controls and extend these findings by investigating various clinical groups with impaired reward processing.

Indexed as

functional MRIgambling performanceimpulsivitymonetary gambling taskneuropsychological testsreward networkreward processing

Identifiers

PMID40867351
PMCPMC12382616

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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.