Evidence map›Paper›PMID 31491817›Full record

ArticleNeuroImage. Clinical2019

Microstructural white matter network-connectivity in individuals with psychotic disorder, unaffected siblings and controls.

Stijn Michielse, Kimberley Rakijo, Sanne Peeters, Wolfgang Viechtbauer, Jim van Os, Machteld Marcelis, for Genetic Risk and Outcome of Psychosis (G.R.O.U.P.)

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Negative symptoms are associated with modularity and thalamic connectivity in schizophrenia.European archives of psychiatry and clinical neuroscience · 2023
    Article
  2. 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

7 authors at 2 institutions in 2 countries.

Stijn MichielseDepartment of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, Maastricht 6200, MD, the Netherlands. Electronic address: stijn.michielse@maastrichtuniversity.nl.
Kimberley RakijoDepartment of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, Maastricht 6200, MD, the Netherlands.
Sanne PeetersDepartment of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, Maastricht 6200, MD, the Netherlands; Faculty of Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, the Netherlands.
Wolfgang ViechtbauerDepartment of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, Maastricht 6200, MD, the Netherlands.
Jim van OsDepartment of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, Maastricht 6200, MD, the Netherlands; King's College London, King's Health Partners, Department of Psychosis Studies, Institute of Psychiatry, London, UK; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands.
Machteld MarcelisDepartment of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, Maastricht 6200, MD, the Netherlands; Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, the Netherlands.
for Genetic Risk and Outcome of Psychosis (G.R.O.U.P.)
Maastricht University Medical Centre · NLKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAltered structural network-connectivity has been reported in psychotic disorder but whether these alterations are associated with genetic vulnerability, and/or with phenotypic variation, has been less well examined. This study examined i) whether differences in network-connectivity exist between patients with psychotic disorder, siblings of patients with psychotic disorder and controls, and ii) whether network-connectivity alterations vary with (subclinical) symptomatology.

methodsNetwork-connectivity measures (global efficiency (GE), density, local efficiency (LE), clustering coefficient (CC)) were derived from diffusion weighted imaging (DWI) and were compared between 85 patients with psychotic disorder, 93 siblings without psychotic disorder and 80 healthy comparison subjects using multilevel regression models. In patients, associations between Positive and Negative Syndrome Scale (PANSS) symptoms and topological measures were examined. In addition, interactions between subclinical psychopathology and sibling/healthy comparison subject status were examined in models of topological measures.

resultsWhile there was no main effect of group with respect to GE, density, LE and CC, siblings had a significantly higher CC compared to patients (B = 0.0039, p = .002). In patients, none of the PANSS symptom domains were significantly associated with any of the four network-connectivity measures. The two-way interaction between group and SIR-r positive score in the model of LE was significant (χ

conclusionThe findings indicate absence of structural network-connectivity alterations in individuals with psychotic disorder and in individuals at higher than average genetic risk for psychotic disorder, in comparison with healthy subjects. The differential subclinical symptom-network connectivity associations in siblings with respect to controls may be a sign of psychosis vulnerability in the siblings.

Indexed as

AdultDiffusion Tensor ImagingFemaleHumansLongitudinal StudiesMaleNerve NetPsychotic DisordersSchizophreniaSiblingsWhite MatterYoung AdultClusteringConnectivityEfficiencySchizophreniaSiblingsWhite matter

Identifiers

PMID31491817
PMCPMC6658824
OpenAlexW2957113961

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.