Evidence map›Paper›PMID 32804434›Full record

ArticleHuman brain mapping2020

Local shape volume alterations in subcortical structures of suicide attempters with major depressive disorder.

Wooyoung Kang, Jeong-Hyeon Shin, Kyu-Man Han, Aram Kim, Youbin Kang, June Kang, Woo-Suk Tae, Jong-Woo Paik, Hae-Woo Lee, Joon-Kyung Seong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Current Clinical Applications of Structural MRI in Neurological Disorders.Journal of clinical neurology (Seoul, Korea) · 2025
    Review
  4. Article
  5. Review
  6. 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

11 authors at 5 institutions in 3 countries.

Wooyoung KangDepartment of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Jeong-Hyeon ShinMedical & Health Device Division, Korea Testing Laboratory, Seoul, Republic of Korea.
Kyu-Man HanDepartment of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Aram KimDepartment of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Youbin KangDepartment of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
June KangDepartment of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Woo-Suk TaeBrain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea.
Jong-Woo PaikDepartment of Neuropsychiatry, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Hae-Woo LeeDepartment of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea.
Joon-Kyung SeongSchool of Biomedical Engineering, Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea.
Byung-Joo HamDepartment of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-0108-2058
Korea University · KRKorea University Medical Center · KRKorea Testing Laboratory · KRKyung Hee University · KRSeoul Medical Center · KR

Funding

Civil-Military Technology Cooperation Program 14-BR-SS-03Institute of Information & Communications Technology Planning & Evaluation (IITP) 2019-0-00079National Research Foundation of Korea NRF-2016M3A9A7916996National Research Foundation of Korea NRF-2017R1A2B4002090
6 · The paper itself

Abstract

Suicide is among the most important global health concerns; accordingly, an increasing number of studies have shown the risks for suicide attempt(s) in terms of brain morphometric features and their clinical correlates. However, brain studies addressing suicidal vulnerability have been more focused on demonstrating impairments in cortical structures than in the subcortical structures. Using local shape volumes (LSV) analysis, we investigated subcortical structures with their clinical correlates in depressed patients who attempted suicide. Then we compared them with depressed patients without a suicidal history and age- and sex-matched healthy controls (HCs; i.e., 47 suicide attempters with depression, 47 non-suicide attempters with depression, and 109 HCs). Significant volumetric differences were found between suicidal and nonsuicidal depressed patients in several vertices: 16 in the left amygdala; 201 in the left hippocampus; 1,057 in the left putamen; and 140 in the left pallidum; 1 in the right pallidum; and 6 in the bilateral thalamus. These findings indicated subcortical alterations in LSV in components of the limbic-cortical-striatal-pallidal-thalamic circuits. Moreover, our results demonstrated that the basal ganglia was correlated with perceived stress levels, and the thalamus was correlated with suicidal ideation. We suggest that suicidality in major depressive disorder may involve subcortical volume alterations.

Indexed as

Suicide, AttemptedAdultBasal GangliaFemaleHumansLimbic SystemMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedNerve NetStress, PsychologicalSuicidal IdeationThalamusYoung Adultbasal gangliaLCSPT circuitslocal shape volumemajor depressive disorderstresssuicidalitythalamus

Identifiers

PMID32804434
PMCPMC7643352
OpenAlexW3081207537

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.