Evidence map›Paper›PMID 34689161›Full record

ArticleTranslational psychiatry2021

Default-mode and fronto-parietal network connectivity during rest distinguishes asymptomatic patients with bipolar disorder and major depressive disorder.

Sabina Rai, Kristi R Griffiths, Isabella A Breukelaar, Ana R Barreiros, Wenting Chen, Philip Boyce, Philip Hazell, Sheryl L Foster, Gin S Malhi, Anthony W F Harris and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Sabina RaiBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia. srai4953@uni.sydney.edu.au.ORCID 0000-0001-9959-3341
Kristi R GriffithsBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia.ORCID 0000-0002-7108-2272
Isabella A BreukelaarBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia.ORCID 0000-0002-6241-5274
Ana R BarreirosBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia.
Wenting ChenBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia.
Philip BoyceDiscipline of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-9816-7356
Philip HazellDiscipline of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Sheryl L FosterDepartment of Radiology, Westmead Hospital, Sydney, NSW, Australia.ORCID 0000-0003-3725-0823
Gin S MalhiDiscipline of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-4524-9091
Anthony W F HarrisBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia.ORCID 0000-0002-8617-4962
Mayuresh S KorgaonkarBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia. M.Korgaonkar@sydney.edu.au.ORCID 0000-0002-1339-2221
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolar disorder (BD) is commonly misdiagnosed as major depressive disorder (MDD). This is understandable, as depression often precedes mania and is otherwise indistinguishable in both. It is therefore imperative to identify neural mechanisms that can differentiate the two disorders. Interrogating resting brain neural activity may reveal core distinguishing abnormalities. We adopted an a priori approach, examining three key networks documented in previous mood disorder literature subserving executive function, salience and rumination that may differentiate euthymic BD and MDD patients. Thirty-eight patients with BD, 39 patients with MDD matched for depression severity, and 39 age-gender matched healthy controls, completed resting-state fMRI scans. Seed-based and data-driven Independent Component analyses (ICA) were implemented to examine group differences in resting-state connectivity (pFDR < 0.05). Seed analysis masks were target regions identified from the fronto-parietal (FPN), salience (SN) and default-mode (DMN) networks. Seed-based analyses identified significantly greater connectivity between the subgenual cingulate cortex (DMN) and right dorsolateral prefrontal cortex (FPN) in BD relative to MDD and controls. The ICA analyses also found greater connectivity between the DMN and inferior frontal gyrus, an FPN region in BD relative to MDD. There were also significant group differences across the three networks in both clinical groups relative to controls. Altered DMN-FPN functional connectivity is thought to underlie deficits in the processing, management and regulation of affective stimuli. Our results suggest that connectivity between these networks could potentially distinguish the two disorders and could be a possible trait mechanism in BD persisting even in the absence of symptoms.

Indexed as

Bipolar DisorderMajor Depressive DisorderBrainBrain MappingDorsolateral Prefrontal CortexHumansMagnetic Resonance ImagingNeural PathwaysRest

Identifiers

PMID34689161
PMCPMC8542033
OpenAlexW3209610684

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.