Evidence map›Paper›PMID 31597581›Full record

ArticlePsychological medicine2020

Using resting-state intrinsic network connectivity to identify suicide risk in mood disorders.

Jonathan P Stange, Lisanne M Jenkins, Stephanie Pocius, Kayla Kreutzer, Katie L Bessette, Sophie R DelDonno, Leah R Kling, Runa Bhaumik, Robert C Welsh, John G Keilp and 2 more

Open access · greenAbstract read
In one paragraph

Article in Psychological medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  4. Neurophysiological Markers of Regulation Success in Everyday Life in Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 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

12 authors at 5 institutions in 1 country.

Jonathan P StangeUniversity of Illinois at Chicago, Chicago, IL, USA.ORCID 0000-0003-3718-5945
Lisanne M JenkinsNorthwestern University, Chicago, IL, USA.
Stephanie PociusUniversity of Utah, Salt Lake City, UT, USA.
Kayla KreutzerUniversity of Illinois at Chicago, Chicago, IL, USA.
Katie L BessetteUniversity of Illinois at Chicago, Chicago, IL, USA.
Sophie R DelDonnoUniversity of Illinois at Chicago, Chicago, IL, USA.
Leah R KlingUniversity of Illinois at Chicago, Chicago, IL, USA.
Runa BhaumikUniversity of Illinois at Chicago, Chicago, IL, USA.
Robert C WelshUniversity of Utah, Salt Lake City, UT, USA.
John G KeilpColumbia University, New York, NY, USA.
K Luan PhanThe Ohio State University, Columbus, OH, USA.
Scott A LangeneckerUniversity of Utah, Salt Lake City, UT, USA.
University of Illinois Chicago · USUniversity of Utah · USColumbia University · USNorthwestern University · USThe Ohio State University · US

Funding

Strengthening Stakeholder Engagement in Human Research Protections.UL1TR002003 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KARNIK, NIRANJAN SUBHASH, MERMELSTEIN, ROBIN J. · 2016 to 2024
$33.7M
Center for Clinical and Translational ScienceUL1TR000050 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AZAR, DIMITRI T, MERMELSTEIN, ROBIN J. · 2012 to 2014
$9.8M
Training in the Neuroscience of Mental HealthT32MH067631 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RASENICK, MARK M. · 2004 to 2024
$4.8M
A High-End 3 Tesla Human MRI Scanner Dedicated to ResearchS10RR028898 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ZHOU, XIAOHONG JOE · 2010 to 2010
$2.9M
Developing rumination-focused treatment to reduce risk for depression recurrence (RDR) in adolescenceR33MH116080 · NIMH · UNIVERSITY OF UTAH · PI LANGENECKER, SCOTT A, WATKINS, EDWARD · 2022 to 2024
$2.7M
Dimensional RDoC Modeling across the Range of Negative Mood DysfunctionR01MH101487 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LANGENECKER, SCOTT A · 2013 to 2016
$2.5M
Neurobiological Intermediate Phenotypes of Major Depressive DisorderR01MH091811 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGENECKER, SCOTT A · 2010 to 2014
$2.3M
From Networks to the Real World: Integrating Neural and Autonomic Processes of LossK23MH112769 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STANGE, JONATHAN P · 2017 to 2021
$931k
NCATS NIH HHS UL1 TR000050NCRR NIH HHS S10 RR028898NIMH NIH HHS K23 MH112769NIMH NIH HHS R01 MH091811NIMH NIH HHS R01 MH101487NIMH NIH HHS R33 MH116080NIMH NIH HHS T32 MH067631
6 · The paper itself

Abstract

backgroundLittle is known about the neural substrates of suicide risk in mood disorders. Improving the identification of biomarkers of suicide risk, as indicated by a history of suicide-related behavior (SB), could lead to more targeted treatments to reduce risk.

methodsParticipants were 18 young adults with a mood disorder with a history of SB (as indicated by endorsing a past suicide attempt), 60 with a mood disorder with a history of suicidal ideation (SI) but not SB, 52 with a mood disorder with no history of SI or SB (MD), and 82 healthy comparison participants (HC). Resting-state functional connectivity within and between intrinsic neural networks, including cognitive control network (CCN), salience and emotion network (SEN), and default mode network (DMN), was compared between groups.

resultsSeveral fronto-parietal regions (k > 57, p < 0.005) were identified in which individuals with SB demonstrated distinct patterns of connectivity within (in the CCN) and across networks (CCN-SEN and CCN-DMN). Connectivity with some of these same regions also distinguished the SB group when participants were re-scanned after 1-4 months. Extracted data defined SB group membership with good accuracy, sensitivity, and specificity (79-88%).

conclusionsThese results suggest that individuals with a history of SB in the context of mood disorders may show reliably distinct patterns of intrinsic network connectivity, even when compared to those with mood disorders without SB. Resting-state fMRI is a promising tool for identifying subtypes of patients with mood disorders who may be at risk for suicidal behavior.

Indexed as

Suicidal IdeationSuicide, AttemptedAdultBrain MappingCase-Control StudiesCerebral CortexFemaleHumansMagnetic Resonance ImagingMaleMood DisordersNeural PathwaysRestYoung AdultDepressionfMRIintrinsic networksmood disordersneural networksneuroimagingresting-state connectivitysuicide

Identifiers

PMID31597581
PMCPMC7368462
OpenAlexW2979769017

What OpenQuestion holds

Textmetadata
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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.