Evidence map›Paper›PMID 36358386›Full record

ArticleBrain sciences2022

Volumetric Variability of the Ventromedial Prefrontal Cortex Reflects the Propensity for Engaging in High-Stakes Gambling Behavior.

Kyuli Lee, Nayoung Kim, Eun-Joo Jeong, Min-Suk Kang, M Justin Kim

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

5 authors at 2 institutions in 1 country.

Kyuli LeeDepartment of Psychology, Sungkyunkwan University, Seoul 03063, Korea.ORCID 0000-0001-6713-5389
Nayoung KimDepartment of Psychology, Sungkyunkwan University, Seoul 03063, Korea.
Eun-Joo JeongDepartment of Psychology, Sungkyunkwan University, Seoul 03063, Korea.
Min-Suk KangDepartment of Psychology, Sungkyunkwan University, Seoul 03063, Korea.
M Justin KimDepartment of Psychology, Sungkyunkwan University, Seoul 03063, Korea.
Sungkyunkwan University · KRInstitute for Basic Science · KR

Funding

Institute for Basic Science IBS-R015-D1National Research Foundation of Korea NRF-2015M3C7A1031969National Research Foundation of Korea NRF-2019R1A2C1005978
6 · The paper itself

Abstract

The human ventromedial prefrontal cortex (vmPFC) has been traditionally associated with decision-making under risk. Neuroimaging studies of such decision-making processes have largely focused on patients with vmPFC lesions or pathological gambling behavior, leading to a relative paucity of work focusing on the structural variability of the vmPFC in healthy individuals. To address this, we developed a decision-making task that allowed healthy players to choose to participate in either low stakes or high-stakes gambling on a trial-by-trial basis, and computed a metric that indexes the propensity for engaging in gambles with greater potential payoffs. We leveraged voxel-based morphometric analyses to examine the association between prefrontal gray matter volume and individual differences in the propensity for seeking high-risk/high-reward situations. Our analyses showed that vmPFC gray matter volume was inversely correlated with an increased tendency for engaging in high-stakes gambling. These results converge with findings from functional neuroimaging and brain lesion studies of vmPFC, and further extend them to show that normative variability in brain structure could also underpin risk-taking behavior.

Indexed as

decision-makingMRIriskvmPFCvoxel-based morphometry

Identifiers

PMID36358386
PMCPMC9688713
OpenAlexW4307947114

What OpenQuestion holds

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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.