Evidence map›Paper›PMID 32879316›Full record

ArticleNPJ schizophrenia2020

Functional brain networks in the schizophrenia spectrum and bipolar disorder with psychosis.

Edwin van Dellen, Corinna Börner, Maya Schutte, Simone van Montfort, Lucija Abramovic, Marco P Boks, Wiepke Cahn, Neeltje van Haren, René Mandl, Cornelis J Stam and 1 more

Abstract read
In one paragraph

Article in NPJ schizophrenia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 5 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

18 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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.

Edwin van Dellen *Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands. e.vandellen@umcutrecht.nl.
Corinna Börner *Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
Maya SchutteUniversity of Groningen, Department of Neuroscience, University Medical Center Groningen, Groningen, The Netherlands.
Simone van MontfortDepartment of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Lucija AbramovicDepartment of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
Marco P BoksDepartment of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0001-6163-7484
Wiepke CahnDepartment of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-0482-8759
Neeltje van HarenDepartment of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
René MandlDepartment of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
Cornelis J StamDepartment of Clinical Neurophysiology and MEG Center, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Iris SommerUniversity of Groningen, Department of Neuroscience, University Medical Center Groningen, Groningen, The Netherlands.

Funding

Genomic Studies of Bipolar Disorder in a Large Cohort from The NetherlandsR01MH090553 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OPHOFF, ROEL A · 2010 to 2014
$6.0M
NIMH NIH HHS R01 MH090553
6 · The paper itself

Abstract

Psychotic experiences have been proposed to lie on a spectrum, ranging from subclinical experiences to treatment-resistant schizophrenia. We aimed to characterize functional connectivity and brain network characteristics in relation to the schizophrenia spectrum and bipolar disorder with psychosis to disentangle neural correlates to psychosis. Additionally, we studied antipsychotic medication and lithium effects on network characteristics. We analyzed functional connectivity strength and network topology in 487 resting-state functional MRI scans of individuals with schizophrenia spectrum disorder (SCZ), bipolar disorder with a history of psychotic experiences (BD), treatment-naïve subclinical psychosis (SCP), and healthy controls (HC). Since differences in connectivity strength may confound group comparisons of brain network topology, we analyzed characteristics of the minimum spanning tree (MST), a relatively unbiased backbone of the network. SCZ and SCP subjects had a lower connectivity strength than BD and HC individuals but showed no differences in network topology. In contrast, BD patients showed a less integrated network topology but no disturbances in connectivity strength. No differences in outcome measures were found between SCP and SCZ, or between BD patients that used antipsychotic medication or lithium and those that did not. We conclude that functional networks in patients prone to psychosis have different signatures for chronic SCZ patients and SCP compared to euthymic BD patients, with a limited role for medication. Connectivity strength effects may have confounded previous studies, as no functional network alterations were found in SCZ after strict correction for connectivity strength.

Identifiers

PMID32879316
PMCPMC7468123

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.