Evidence map›Paper›PMID 33341013›Full record

ArticleJournal of affective disorders2021

Neuroimaging correlates of emotional response-inhibition discriminate between young depressed adults with and without sub-threshold bipolar symptoms (Emotional Response-inhibition in Young Depressed Adults).

Jungwon Cha, Sidra Speaker, Bo Hu, Murat Altinay, Parashar Koirala, Harish Karne, Jeffrey Spielberg, Amy Kuceyeski, Elvisha Dhamala, Amit Anand

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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Jungwon ChaCenter for Behavioral Health, Cleveland Clinic.
Sidra SpeakerCleveland Clinic Lerner College of Medicine.
Bo HuCenter for Quantitative Health Sciences, Cleveland Clinic.
Murat AltinayCenter for Behavioral Health, Cleveland Clinic.
Parashar KoiralaCenter for Behavioral Health, Cleveland Clinic.
Harish KarneCenter for Behavioral Health, Cleveland Clinic.
Jeffrey SpielbergDepartment of Psychiatry, University of Delaware.
Amy KuceyeskiDepartment of Radiology, Weill Cornell Medicine, Brain and Mind Research Institute, Weill Cornell Medicine.
Elvisha DhamalaDepartment of Radiology, Weill Cornell Medicine, Brain and Mind Research Institute, Weill Cornell Medicine.
Amit AnandCenter for Behavioral Health, Cleveland Clinic. Electronic address: ananda@ccf.org.

Funding

Lithium Effects on the Brain's Functional and Structural Connectome in the Treatment of Bipolar DisorderR01MH113256 · NIMH · CLEVELAND CLINIC LERNER COM-CWRU · PI ANAND, AMIT · 2017 to 2021
$3.7M
Differentiating Unipolar and Bipolar Depression in Young Adults Using fMRIR01MH093420 · NIMH · INDIANA UNIVERSITY INDIANAPOLIS · PI ANAND, AMIT · 2011 to 2016
$2.3M
NIMH NIH HHS R01 MH093420NIMH NIH HHS R01 MH113256
6 · The paper itself

Abstract

backgroundMany subjects with major depression (MDD) exhibit subthreshold mania symptoms (MDD+). This study investigated, for the first time, using emotional inhibition tasks, whether the neural organization of MDD+ subjects is more similar to bipolar depression (BDD) or to MDD subjects without subthreshold bipolar symptoms (MDD-).

methodThis study included 118 medication-free young adults (15 - 30 yrs.): 20 BDD, 28 MDD+, 41 MDD- and 29 HC subjects. Participants underwent fMRI during emotional and non-emotional Go/No-go tasks during which they responded for Go stimuli and inhibited response for happy, fear, and non-emotional (gender) faces No-go stimuli. Univariate linear mixed-effects (LME) analysis for group effects and multivariate Gaussian Process Classifier (GPC) analyses were conducted.

resultsMDD- group compared to both the BDD and MDD+ groups, exhibited significantly lower activation in parietal, temporal and frontal regions (cluster-wise corrected p <0.05) for emotional inhibition conditions vs. non-emotional condition. GPC classification of emotional (happy + fear) vs. non-emotional response-inhibition activation pattern showed good discrimination between BDD and MDD- subjects (AUC: 0.70; balanced accuracy: 70% (corrected p = 0.018)) as well as between MDD+ and MDD- subjects (AUC: 0.72; balanced accuracy: 67% (corrected p = 0.045)) but less efficient discrimination between BDD and MDD+ groups (AUC: 0.68; balanced accuracy: 61% (corrected p = 0.273)). Notably, classification of the MDD- group was weighted for left amygdala activation pattern. LIMITATIONS: Results also need to be tested in a different independent dataset.

conclusionUsing an fMRI emotional Go-Nogo task, MDD- subjects can be discriminated from BDD and MDD+ subjects.

Indexed as

Bipolar DisorderMajor Depressive DisorderEmotionsFacial ExpressionHumansMagnetic Resonance ImagingNeuroimagingYoung AdultBipolar DepressionEmotional response inhibitionfMRIMachine learningSubthreshold bipolar disorder Young adults

Identifiers

PMID33341013
PMCPMC8311442

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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.