Evidence map›Paper›PMID 27460615›Full record

SynthesisSchizophrenia bulletin2016

Aberrant Functional Whole-Brain Network Architecture in Patients With Schizophrenia: A Meta-analysis.

Joseph Kambeitz, Lana Kambeitz-Ilankovic, Carlos Cabral, Dominic B Dwyer, Vince D Calhoun, Martijn P van den Heuvel, Peter Falkai, Nikolaos Koutsouleris, Berend Malchow

Abstract readMeta-Analysis
In one paragraph

Synthesis in Schizophrenia bulletin, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 6 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

62 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  12. GABAMolecular psychiatry · 2026
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2 more citing papers are in PubMed but not listed here.

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.

Joseph KambeitzDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany; joseph.kambeitz@med.uni-muenchen.de.
Lana Kambeitz-IlankovicDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany;
Carlos CabralDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany;
Dominic B DwyerDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany;
Vince D CalhounThe Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM;
Martijn P van den HeuvelDepartment of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands.
Peter FalkaiDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany;
Nikolaos KoutsoulerisDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany;
Berend MalchowDepartment of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Findings from multiple lines of research provide evidence of aberrant functional brain connectivity in schizophrenia. By using graph-analytical measures, recent studies indicate that patients with schizophrenia exhibit changes in the organizational principles of whole-brain networks and that these changes relate to cognitive symptoms. However, there has not been a systematic investigation of functional brain network changes in schizophrenia to test the consistency of these changes across multiple studies. A comprehensive literature search was conducted to identify all available functional graph-analytical studies in patients with schizophrenia. Effect size measures were derived from each study and entered in a random-effects meta-analytical model. All models were tested for effects of potential moderator variables as well as for the presence of publication bias. The results of a total of n = 13 functional neuroimaging studies indicated that brain networks in patients with schizophrenia exhibit significant decreases in measures of local organization (g = -0.56, P = .02) and significant decreases in small-worldness (g = -0.65, P = .01) whereas global short communication paths seemed to be preserved (g = 0.26, P = .32). There was no evidence for a publication bias or moderator effects. The present meta- analysis demonstrates significant changes in whole brain network architecture associated with schizophrenia across studies.

Indexed as

ConnectomeHumansNerve NetSchizophreniacognitionconnectivitygraph analysismeta-analysisschizophrenia

Identifiers

PMID27460615
PMCPMC4960431

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.