Evidence map›Paper›PMID 30105203›Full record

ArticleNeuroImage. Clinical2018

Increased efficiency of brain connectivity networks in veterans with suicide attempts.

Jaeuk Hwang, Margaret Legarreta, Charles Elliott Bueler, Jennifer DiMuzio, Erin McGlade, In Kyoon Lyoo, Deborah Yurgelun-Todd

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review: Suicide and its relationship to aggression and impulsivity.Cognitive, affective & behavioral neuroscience · 2025
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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 3 institutions in 2 countries.

Jaeuk HwangDiagnostic Neuroimaging, University of Utah, Salt Lake City, UT, United States; Department of Psychiatry, University of Utah, Salt Lake City, UT, United States; Department of Psychiatry, Soonchunhyang University Hospital, Seoul, South Korea.
Margaret LegarretaMIRECC, Department of Veterans Affairs, Salt Lake City, UT, United States.
Charles Elliott BuelerDiagnostic Neuroimaging, University of Utah, Salt Lake City, UT, United States.
Jennifer DiMuzioDiagnostic Neuroimaging, University of Utah, Salt Lake City, UT, United States.
Erin McGladeDiagnostic Neuroimaging, University of Utah, Salt Lake City, UT, United States; Department of Psychiatry, University of Utah, Salt Lake City, UT, United States; MIRECC, Department of Veterans Affairs, Salt Lake City, UT, United States.
In Kyoon LyooEwha Brain Institute, Ewha W. University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha W. University, Seoul, South Korea.
Deborah Yurgelun-ToddDiagnostic Neuroimaging, University of Utah, Salt Lake City, UT, United States; Department of Psychiatry, University of Utah, Salt Lake City, UT, United States; MIRECC, Department of Veterans Affairs, Salt Lake City, UT, United States. Electronic address: deborah.yurgelun-todd@hsc.utah.edu.
University of Utah · USEwha Womans University · KRMental Illness Research, Education and Clinical Centers · US

Funding

Neurobiology of Suicide Risk in Traumatic Brain Injury and Substance AbuseI01CX000253 · VA · VA SALT LAKE CITY HEALTHCARE SYSTEM · PI YURGELUN-TODD, DEBORAH A. · 2009 to 2013
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CSRD VA I01 CX000253
6 · The paper itself

Abstract

Background: Suicide is a public health concern for United States veterans and civilians. Prior research has shown neurobiological factors in suicide. However, studies of neuroimaging correlates of suicide risk have been limited. This study applied complex weighted network analyses to characterize the neural connectivity in white matter in veterans with suicide behavior. Methods: Twenty-eight veterans without suicide behavior (NS), 29 with a history of suicidal ideation only (SI), and 23 with prior suicide attempt (SA) completed diffusion tensor brain imaging, the Columbia Suicide Severity Rating Scale and Barratt Impulsiveness Scale (BIS). Structural connectivity networks among 82 parcellated brain regions were produced using whole-brain tractography. Global and nodal metrics of network topology have been calculated. Results: SA had shorter characteristic path length and greater global efficiency and mean weighted degree of global network metrics ( Conclusion: Veterans with prior suicide attempt had altered connectivity networks characteristics in the white matter. These findings may be distinctive neurobiological markers for individuals with suicide attempt. Strong connectivity in the left PCC may be implicated in impulsivity in veterans with suicide attempt.

Indexed as

AdultBrainConnectomeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetSuicide, AttemptedVeteransCingulateConnectomeDiffusion tensor imagingSuicideVeteranWhite matter

Identifiers

PMID30105203
PMCPMC6086217
OpenAlexW2799940817

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.