Evidence map›Paper›PMID 42060192›Full record

SynthesisBrain imaging and behavior2026

Altered resting-state functional connectivity in bipolar disorder: a systematic review.

Jay Kakadiya, Beatriz Aguiar de Macedo, Neel Vora, Vidhi Dhaduk, Andre F Carvalho, Michael Maes, Kamilla W Miskowiak, Dhairya A Lakhani, Haris I Sair, Licia Pacheco Luna

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Brain imaging and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jay Kakadiya *Division of Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Medical Center, Baltimore, MD, USA.
Beatriz Aguiar de Macedo *Division of Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Medical Center, Baltimore, MD, USA.
Neel VoraDepartment of Cardiovascular Radiology, Cleveland Clinic, Cleveland, OH, USA.
Vidhi DhadukDepartment of Radiology, Shantabaa Medical College and General Hospital, Amreli, Gujarat, India.
Andre F CarvalhoIMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia.
Michael MaesSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu , 610072, China.
Kamilla W MiskowiakDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Dhairya A LakhaniDepartment of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA.
Haris I SairDivision of Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Medical Center, Baltimore, MD, USA.
Licia Pacheco LunaDivision of Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Medical Center, Baltimore, MD, USA. lluna6@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolar disorder (BD) is a chronic psychiatric illness characterized by recurrent episodes of mania and depression with intervening euthymic periods and persistent cognitive and affective dysfunction. Resting-state functional magnetic resonance imaging (rs-fMRI) may provide insights into intrinsic brain network alterations underlying mood dysregulation in BD, but findings remain heterogeneous across analytic approaches. Our study aims to systematically synthesize rs-fMRI evidence on FC alterations in adults with BD across all major analytic methods. A systematic review and meta-analytic synthesis were conducted following PRISMA guidelines and Cochrane recommendations (PROSPERO: CRD420251041135). PubMed/MEDLINE, Embase, and Scopus were searched from inception to February 25, 2025. Eligible studies included adult BD patients diagnosed by DSM criteria, healthy controls, rs-fMRI acquisition, and any FC analytic approach. Two reviewers independently performed screening, data extraction, and quality assessment using the Newcastle–Ottawa Scale. Seventeen studies comprising 1,899 participants (978 BD) met inclusion criteria. Methods included independent component analysis, seed-based, ROI-to-ROI, graph-theory, ALFF, and ReHo approaches. Convergent evidence demonstrated FC alterations predominantly within and between the Default Mode Network (DMN), Central Executive Network (CEN), and Ventral Attention Network (VAN). Frequently affected regions included the prefrontal cortex, inferior frontal gyrus, posterior cingulate cortex/precuneus, and supramarginal gyrus. Patterns included mixed hyper- and hypoconnectivity in prefrontal and inferior frontal regions, consistent DMN hub hypoconnectivity, and variable VAN alterations. Study quality was moderate to high overall, though methodological heterogeneity and clinical variability were common. Consistent FC alteration in BD demonstrate large-scale network dysconnectivity centered on DMN, CEN, and VAN hubs, supporting a triple-network model of disrupted cognitive-affective regulation. Despite analytic and clinical heterogeneity, convergent regional patterns suggest distributed network level pathology. Longitudinal multimodal studies are needed to clarify state versus trait effects and advance FC measures toward clinical utility.

Indexed as

Bipolar DisorderBrainBrain MappingDefault Mode NetworkHumansMagnetic Resonance ImagingNerve NetNeural PathwaysBipolar disorderDefault mode networkFunctional connectivityResting-state fMRISalience networkSeuroimaging biomarkers

Identifiers

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Registered trials

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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.