Evidence map›Paper›PMID 31755957›Full record

ArticleSchizophrenia bulletin2020

Transdiagnostic Dysfunctions in Brain Modules Across Patients with Schizophrenia, Bipolar Disorder, and Major Depressive Disorder: A Connectome-Based Study.

Qing Ma, Yanqing Tang, Fei Wang, Xuhong Liao, Xiaowei Jiang, Shengnan Wei, Andrea Mechelli, Yong He, Mingrui Xia

Abstract readComparative Study
In one paragraph

Article in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

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

  1. Pooled it
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  11. Transdiagnostic prevention in youth mental health, Part I: rationale, shared risk factors.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
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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

9 authors.

Qing MaNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yanqing TangDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
Fei WangDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
Xuhong LiaoNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Xiaowei JiangDepartment of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Shengnan WeiDepartment of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Andrea MechelliDepartment of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Yong HeNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Mingrui XiaNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatric disorders, including schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD), share clinical and neurobiological features. Because previous investigations of functional dysconnectivity have mainly focused on single disorders, the transdiagnostic alterations in the functional connectome architecture of the brain remain poorly understood. We collected resting-state functional magnetic resonance imaging data from 512 participants, including 121 with SCZ, 100 with BD, 108 with MDD, and 183 healthy controls. Individual functional brain connectomes were constructed in a voxelwise manner, and the modular architectures were examined at different scales, including (1) global modularity, (2) module-specific segregation and intra- and intermodular connections, and (3) nodal participation coefficients. The correlation of these modular measures with clinical scores was also examined. We reliably identify common alterations in modular organization in patients compared to controls, including (1) lower global modularity; (2) lower modular segregation in the frontoparietal, subcortical, visual, and sensorimotor modules driven by more intermodular connections; and (3) higher participation coefficients in several network connectors (the dorsolateral prefrontal cortex and angular gyrus) and the thalamus. Furthermore, the alterations in the SCZ group are more widespread than those of the BD and MDD groups and involve more intermodular connections, lower modular segregation and higher connector integrity. These alterations in modular organization significantly correlate with clinical scores in patients. This study demonstrates common hyper-integrated modular architectures of functional brain networks among patients with SCZ, BD, and MDD. These findings reveal a transdiagnostic mechanism of network dysfunction across psychiatric disorders from a connectomic perspective.

Indexed as

ConnectomeAdolescentAdultBipolar DisorderBrainFemaleHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedNerve NetSchizophreniaYoung Adultbrain networkconnectorgraph theorymodularityresting-state fMRI

Identifiers

PMID31755957
PMCPMC7147584

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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.