Evidence map›Paper›PMID 36103935›Full record

ArticleJournal of affective disorders2022

A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults.

Danielle A Goldman, Anjali Sankar, Alexandra Rich, Jihoon A Kim, Brian Pittman, R Todd Constable, Dustin Scheinost, Hilary P Blumberg

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Brain White Matter Microstructure in Middle and Older Aged Adults With Bipolar Disorder: A 2-Site Study.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
    Article
  5. The Regulatory Potential of Long Non-Coding RNAs in Bipolar Disorder.International journal of molecular sciences · 2026
    Review
  6. Article
  7. Biomarkers of bipolar disorder in omics and neuroimaging.Journal of pharmaceutical analysis · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. 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

8 authors at 2 institutions in 2 countries.

Danielle A GoldmanInterdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06511, United States of America; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America.
Anjali SankarDepartment of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America; Department of Neurology and Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark.
Alexandra RichInterdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06511, United States of America.
Jihoon A KimDepartment of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America.
Brian PittmanDepartment of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America.
R Todd ConstableDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, United States of America.
Dustin ScheinostDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, United States of America.
Hilary P BlumbergDepartment of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, United States of America; Child Study Center, Yale School of Medicine, New Haven, CT 06511, United States of America. Electronic address: hilary.blumberg@yale.edu.
Yale University · USCopenhagen University Hospital · DK

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Brain Emotion Circuitry-Targeted Self-Monitoring and Regulation Therapy (BE-SMART)UG3MH111929 · NIMH · YALE UNIVERSITY · PI BLUMBERG, HILARY PATRICIA · 2018 to 2019
$943k
Brain Emotion Circuitry-Targeted Self-Monitoring and Regulation Therapy (BE-SMART)R61MH111929 · NIMH · YALE UNIVERSITY · PI BLUMBERG, HILARY PATRICIA · 2017 to 2017
$750k
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NIMH NIH HHS R61 MH111929NIMH NIH HHS UG3 MH111929
6 · The paper itself

Abstract

backgroundMarkers to differentiate depressions of bipolar disorder (BD-Dep) from depressions of major depressive disorder (MDD-Dep), and for more targeted treatments, are critically needed to decrease current high rates of misdiagnosis that can lead to ineffective or potentially deleterious treatments. Distinguishing, and specifically treating the depressions, during the adolescent/young adult epoch is especially important to decrease illness progression and improve prognosis, and suicide, as it is the epoch when suicide thoughts and behaviors often emerge. With differences in functional connectivity patterns reported when BD-Dep and MDD-Dep have been studied separately, this study used a graph theory approach aimed to identify functional connectivity differences in their direct comparison.

methodsFunctional magnetic resonance imaging whole-brain functional connectivity (Intrinsic Connectivity Distribution, ICD) measures were compared across adolescents/young adults with BD-Dep (n = 28), MDD-Dep (n = 20) and HC (n = 111). Follow-up seed-based connectivity was conducted on regions of significant ICD differences. Relationships with demographic and clinical measures were assessed.

resultsCompared to the HC group, both the BD-Dep and MDD-Dep groups exhibited left-sided frontal, insular, and medial temporal ICD increases. The BD-Dep group had additional right-sided ICD increases in frontal, basal ganglia, and fusiform areas. In seed-based analyses, the BD-Dep group exhibited increased interhemispheric functional connectivity between frontal areas not seen in the MDD-Dep group. LIMITATIONS: Modest sample size; medications not studied systematically.

conclusionsThis study supports bilateral and interhemispheric functional dysconnectivity as features of BD-Dep that may differentiate it from MDD-Dep in adolescents/young adults and serve as a target for early diagnosis and treatment strategies.

Indexed as

Bipolar DisorderMajor Depressive DisorderAdolescentBrainHumansMagnetic Resonance ImagingNeuroimagingYoung AdultAdolescentBipolar disorderDepressionfMRIFunctional connectivityMajor depressive disorder

Identifiers

PMID36103935
PMCPMC9669784
OpenAlexW4295901393

What OpenQuestion holds

Textmetadata
LicenceTDM
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.