Evidence map›Paper›PMID 34607352›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

Aberrant Subnetwork and Hub Dysconnectivity in Adult Bipolar Disorder: A Multicenter Graph Theory Analysis.

Leila Nabulsi, Genevieve McPhilemy, Stefani O'Donoghue, Dara M Cannon, Liam Kilmartin, Denis O'Hora, Samuel Sarrazin, Cyril Poupon, Marc-Antoine D'Albis, Amelia Versace and 6 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 11 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

16 authors at 7 institutions in 4 countries.

Leila NabulsiCenter for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland.ORCID 0000-0001-9448-7769
Genevieve McPhilemyCenter for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland.
Stefani O'DonoghueCenter for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland.ORCID 0000-0001-7950-417X
Dara M CannonCenter for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland.
Liam KilmartinCollege of Engineering and Informatics, National University of Ireland Galway, Galway H91 TK33, Ireland.
Denis O'HoraSchool of Psychology, National University of Ireland Galway, Galway H91 TK33, Ireland.
Samuel SarrazinAPHP, Hôpitaux Universitaires Mondor, Pôle de psychiatrie, DHU PePsy, INSERM U955, Equipe 15, Faculté de medicine de Créteil, Université Paris Est, Créteil, France.
Cyril PouponNeuroSpin, CEA Saclay, Gif-Sur-Yvette, France.
Marc-Antoine D'AlbisAPHP, Hôpitaux Universitaires Mondor, Pôle de psychiatrie, DHU PePsy, INSERM U955, Equipe 15, Faculté de medicine de Créteil, Université Paris Est, Créteil, France.
Amelia VersaceDepartment of Psychiatry, Pittsburgh University Medicine School, Pittsburgh, PA, USA.
Marine DelavestAPHP, GH Fernand Widal-Lariboisière, Service de psychiatrie, Paris, France.
Julia LinkeDepartment of Clinical Psychology and Neuropsychology, Institute for Psychology, Johannes Gutenberg-University Mainz, Wallstraße 3, Mainz 55122, Germany.
Michèle WessaDepartment of Clinical Psychology and Neuropsychology, Institute for Psychology, Johannes Gutenberg-University Mainz, Wallstraße 3, Mainz 55122, Germany.
Mary L PhillipsDepartment of Psychiatry, Pittsburgh University Medicine School, Pittsburgh, PA, USA.
Josselin HouenouAPHP, Hôpitaux Universitaires Mondor, Pôle de psychiatrie, DHU PePsy, INSERM U955, Equipe 15, Faculté de medicine de Créteil, Université Paris Est, Créteil, France.
Colm McDonaldCenter for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland.
Ollscoil na Gaillimhe – University of Galway · IEInserm · FRJohannes Gutenberg University Mainz · DEUniversity of Pittsburgh · USAssistance Publique – Hôpitaux de Paris · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRUniversity of Southern California · US

Funding

Toward the identification of biomarkers of bipolar disorderR01MH076971 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PHILLIPS, MARY LOUISE · 2007 to 2011
$2.1M
NIMH NIH HHS R01 MH076971
6 · The paper itself

Abstract

Neuroimaging evidence implicates structural network-level abnormalities in bipolar disorder (BD); however, there remain conflicting results in the current literature hampered by sample size limitations and clinical heterogeneity. Here, we set out to perform a multisite graph theory analysis to assess the extent of neuroanatomical dysconnectivity in a large representative study of individuals with BD. This cross-sectional multicenter international study assessed structural and diffusion-weighted magnetic resonance imaging data obtained from 109 subjects with BD type 1 and 103 psychiatrically healthy volunteers. Whole-brain metrics, permutation-based statistics, and connectivity of highly connected nodes were used to compare network-level connectivity patterns in individuals with BD compared with controls. The BD group displayed longer characteristic path length, a weakly connected left frontotemporal network, and increased rich-club dysconnectivity compared with healthy controls. Our multisite findings implicate emotion and reward networks dysconnectivity in bipolar illness and may guide larger scale global efforts in understanding how human brain architecture impacts mood regulation in BD.

Indexed as

Bipolar DisorderAdultBrainCross-Sectional StudiesDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance Imagingbipolar disorderdiffusion-weighted MRIgraph theorymultisitestructural connectivity

Identifiers

PMID34607352
PMCPMC9113298
OpenAlexW3202709826

What OpenQuestion holds

Textmetadata
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.