Evidence map›Paper›PMID 35393376›Full record

ArticleExperimental neurobiology2022

The Indirect Effect of Prefrontal Gray Matter Volume on Suicide Attempts among Individuals with Major Depressive Disorder.

June Kang, Aram Kim, Youbin Kang, Kyu-Man Han, Byung-Joo Ham

Abstract read
In one paragraph

Article in Experimental neurobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. A review of descending pain modulation in humans.Frontiers in pain research (Lausanne, Switzerland) · 2026
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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

5 authors.

June KangDepartment of Brain and Cognitive Engineering, Korea University, Seoul 02841, Korea.
Aram KimDepartment of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea.
Youbin KangDepartment of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea.
Kyu-Man HanDepartment of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea.
Byung-Joo HamDepartment of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trait impulsivity is a known risk factor for suicidality, and the prefrontal cortex plays a key role in impulsivity and its regulation. However, the relationship between trait impulsivity, neural basis, and suicidality has been inconsistent. Therefore, this study aimed to explore the relationship between impulsivity and its structural correlates (prefrontal gray matter volume), suicidal ideation, and actual suicide attempts. A total of 87 individuals with major depressive disorder participated in study, and the gray matter volume of the prefrontal regions was extracted from T1 images based on region of interest masks. The variables for the mediation models were selected based on correlation analysis and tested for their ability to predict suicide attempts, with impulsivity and suicidal ideation as the mediation variables and gray matter volume as the independent variable. A significant correlation was observed between suicidal ideation and the left dorsolateral prefrontal cortex and right dorsomedial prefrontal cortex. The dual-mediation model revealed a significant indirect relationship between gray matter volume in both regions and suicide attempts mediated by motor impulsivity and suicidal ideation. The counterintuitive positive relationship between gray matter volume and suicidality was also discussed.

Indexed as

Attempted suicideGray matterPrefrontal cortexSuicidal ideation

Identifiers

PMID35393376
PMCPMC9194635

What OpenQuestion holds

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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.