Evidence map›Paper›PMID 33207282›Full record

ArticleJournal of affective disorders2021

Examining the relationship between gray matter volume and a continuous measure of bipolarity in unmedicated unipolar and bipolar depression.

Reuben Heyman-Kantor, Mina Rizk, M Elizabeth Sublette, Harry Rubin-Falcone, Yashar Yousefzadeh Fard, Ainsley K Burke, Maria A Oquendo, Gregory M Sullivan, Matthew S Milak, Francesca Zanderigo and 2 more

Abstract read
In one paragraph

Article in Journal of affective disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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 7 institutions in 1 country.

Reuben Heyman-KantorDepartment of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine.
Mina RizkMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute; Department of Psychiatry, Columbia University.
M Elizabeth SubletteMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute; Department of Psychiatry, Columbia University.
Harry Rubin-FalconeDepartment of Computer Science and Engineering, University of Michigan.
Yashar Yousefzadeh FardDepartment of Psychiatry, Stony Brook University.
Ainsley K BurkeMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute; Department of Psychiatry, Columbia University.
Maria A OquendoDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania.
Gregory M SullivanTonix Pharmaceuticals.
Matthew S MilakMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute; Department of Psychiatry, Columbia University.
Francesca ZanderigoMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute; Department of Psychiatry, Columbia University.
J John MannMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute; Department of Psychiatry, Columbia University.
Jeffrey M MillerMolecular Imaging and Neuropathology Area, New York State Psychiatric Institute; Department of Psychiatry, Columbia University. Electronic address: jm2233@cumc.columbia.edu.
New York Psychoanalytic Society and Institute · USColumbia University Irving Medical Center · USNorthwestern University · USStony Brook University · USTonix Pharmaceuticals (United States)University of Michigan · USUniversity of Pennsylvania · US

Funding

THE NEUROBIOLOGY OF SUICIDAL BEHAVIORP50MH062185 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MANN, JOSEPH JOHN · 2000 to 2009
$21.7M
Neurobiology of Depression and AntidepressantsR01MH040695 · NIMH · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI MANN, JOSEPH JOHN · 1986 to 2014
$7.1M
Biological Predictors of Response to AntidepressantsR01MH074813 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PARSEY, RAMIN V. · 2006 to 2010
$2.3M
The Antidepressant Action of Ketamine:Brain ChemistryR01MH093637 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MILAK, MATE ISTVAN · 2011 to 2014
$2.3M
The Neurochemistry of Cognitive Therapy: Predicting Treatment Outcome with PETK08MH085061 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILLER, JEFFREY M · 2010 to 2014
$925k
Neuroimaging of Fatty Acids in Major DepressionK08MH079033 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUBLETTE, M ELIZABETH · 2008 to 2012
$887k
NIMH NIH HHS K08 MH079033NIMH NIH HHS K08 MH085061NIMH NIH HHS P50 MH062185NIMH NIH HHS R01 MH040695NIMH NIH HHS R01 MH074813NIMH NIH HHS R01 MH093637
6 · The paper itself

Abstract

backgroundIt has been argued that unipolar major depressive disorder (MDD) and bipolar disorder (BD) exist on a continuous spectrum, given their overlapping symptomatology and genetic diatheses. The Bipolarity Index (BI) is a scale that considers bipolarity as a continuous construct and was developed to assess confidence in bipolar diagnosis. Here we investigated whether BI scores correlate with gray matter volume (GMV) in a sample of unmedicated unipolar and bipolar depressed individuals.

methods158 subjects (139 with MDD, 19 with BD) in a major depressive episode at time of scan were assigned BI scores. T1-weighted Magnetic Resonance Imaging scans were obtained and processed with Voxel-Based Morphometry using SPM12 (CAT12 toolbox) to assess GMV. Regression was performed at the voxel level to identify clusters of voxels whose GMV was associated with BI score, (p<0.001, family-wise error-corrected cluster-level p<0.05), with age, sex and total intracranial volume as covariates.

resultsGMV was inversely correlated with BI score in four clusters located in left lateral occipital cortex, bilateral angular gyri and right frontal pole. Clusters were no longer significant after controlling for diagnosis. GMV was not correlated with BI score within the MDD cohort alone. LIMITATIONS: Incomplete clinical data required use of a modified BI scale.

conclusionBI scores were inversely correlated with GMV in unmedicated subjects with MDD and BD, but these correlations appeared driven by categorical diagnosis. Future work will examine other imaging modalities and focus on elements of the BI scale most likely to be related to brain structure and function.

Indexed as

Bipolar DisorderMajor Depressive DisorderCerebral CortexGray MatterHumansMagnetic Resonance ImagingBipolarityGray Matter VolumeMajor Depressive Disorder, Bipolar Disorder, Voxel Based Morphometry

Identifiers

PMID33207282
PMCPMC12312762
OpenAlexW3097938891

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.