Evidence map›Paper›PMID 23778975›Full record

ArticleSchizophrenia bulletin2014

Prefrontal brain network connectivity indicates degree of both schizophrenia risk and cognitive dysfunction.

Paul G Unschuld, Alison S Buchholz, Mark Varvaris, Peter C M van Zijl, Christopher A Ross, James J Pekar, Christoph Hock, John A Sweeney, Carol A Tamminga, Matcheri S Keshavan and 3 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Cognition and resting-state functional connectivity in schizophrenia.Neuroscience and biobehavioral reviews · 2016
    Pooled it
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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

13 authors.

Paul G Unschuld*To whom correspondence should be addressed; Division of Psychiatry Research and Psychogeriatric Medicine, University of Zürich, Minervastrasse 145, CH-8032 Zürich, Switzerland; tel: +41-44-3891-453, fax: +41-44-3891-447, e-mail: paul.unschuld@uzh.ch.
Alison S Buchholz
Mark Varvaris
Peter C M van Zijl
Christopher A Ross
James J Pekar
Christoph Hock
John A Sweeney
Carol A Tamminga
Matcheri S Keshavan
Godfrey D Pearlson
Gunvant K Thaker
David J Schretlen

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
INTERDISCIPLINARY TRAINING PROGRAM IN NEUROSCIENCEST32MH015330 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MARGOLIS, RUSSELL L · 1985 to 2024
$6.2M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077852 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI THAKER, GUNVANT K · 2007 to 2010
$3.5M
Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP)R01MH096913 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAMMINGA, CAROL A · 2013 to 2015
$950k
NIBIB NIH HHS P41-EB015909NIMH NIH HHS R01 MH077852NIMH NIH HHS R01 MH096913NIMH NIH HHS T32MH015330
6 · The paper itself

Abstract

objectiveCognitive dysfunction is a core feature of schizophrenia, and persons at risk for schizophrenia may show subtle deficits in attention and working memory. In this study, we investigated the relationship between integrity of functional brain networks and performance in attention and working memory tasks as well as schizophrenia risk.

methodsA total of 235 adults representing 3 levels of risk (102 outpatients with schizophrenia, 70 unaffected first-degree relatives of persons with schizophrenia, and 63 unrelated healthy controls [HCs]) completed resting-state functional magnetic resonance imaging and a battery of attention and working memory tasks (Brief Test of Attention, Hopkins Verbal Learning Test, and Brief Visuospatial Memory Test) on the same day. Functional networks were defined based on coupling with seeds in the dorsal anterior cingulate cortex, dorsolateral prefrontal cortex (DLPFC), medial prefrontal cortex (MPFC), and primary visual cortex. Networks were then dissected into regional clusters of connectivity that were used to generate individual interaction matrices representing functional connectivity within each network.

resultsBoth patients with schizophrenia and their first-degree relatives showed cognitive dysfunction compared with HCs. First canonicals indicated an inverse relationship between cognitive performance and connectivity within the DLPFC and MPFC networks. Multivariate analysis of variance revealed multivariate main effects of higher schizophrenia risk status on increased connectivity within the DLPFC and MPFC networks.

conclusionsThese data suggest that excessive connectivity within brain networks coupled to the DLPFC and MPFC, respectively, accompany cognitive deficits in persons at risk for schizophrenia. This might reflect compensatory reactions in neural systems required for cognitive processing of attention and working memory tasks to brain changes associated with schizophrenia.

Indexed as

FamilySchizophrenic PsychologyAdultAnalysis of VarianceAttentionCase-Control StudiesCognition DisordersFemaleFunctional NeuroimagingGyrus CinguliHumansMagnetic Resonance ImagingMaleMemory, Short-TermMiddle AgedMultivariate Analysisattentiondefault-mode networkfMRIresting stateworking memory

Identifiers

PMID23778975
PMCPMC3984516

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.