Evidence map›Paper›PMID 36241961›Full record

ArticleBrain imaging and behavior2022

Trait related aberrant connectivity in clinically stable patients with schizophrenia: A seed based resting state fMRI study.

Paris Alexandros Lalousis, Aanya Malaviya, Rachel Upthegrove, Kareen Heinze, Ana Diukova, Dorothee Auer, Peter Liddle, Pavan Mallikarjun

Open access · hybridAbstract read
In one paragraph

Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Paris Alexandros LalousisInstitute for Mental Health, University of Birmingham, 52 Pritchatts Road, Birmingham, B15 2SA, UK. p.a.lalousis@bham.ac.uk.
Aanya MalaviyaInstitute for Mental Health, University of Birmingham, 52 Pritchatts Road, Birmingham, B15 2SA, UK.
Rachel UpthegroveInstitute for Mental Health, University of Birmingham, 52 Pritchatts Road, Birmingham, B15 2SA, UK.
Kareen HeinzeInstitute for Mental Health, University of Birmingham, 52 Pritchatts Road, Birmingham, B15 2SA, UK.
Ana DiukovaSchool of Medicine, University of Nottingham, Nottingham, NG7 2RD, UK.
Dorothee AuerSchool of Medicine, University of Nottingham, Nottingham, NG7 2RD, UK.
Peter LiddleSchool of Medicine, University of Nottingham, Nottingham, NG7 2RD, UK.
Pavan MallikarjunInstitute for Mental Health, University of Birmingham, 52 Pritchatts Road, Birmingham, B15 2SA, UK.
University of Birmingham · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant resting-state connectivity within and between the Default Mode Network, the Executive Control Network, and the Salience Network is well-established in schizophrenia. Meta-analyses have identified that bilateral lingual gyrus is as the only region showing hyperactivity in schizophrenia and there are reports of increased connectivity between the lingual gyrus and other brain regions in schizophrenia. It is not clear whether these abnormalities represent state or trait markers of the illness, i.e., if they are only present during the acute phase of the illness (state) or if they reflect a predisposition to schizophrenia (trait). In this study, we used a seed-based functional connectivity analysis to investigate brain networks in schizophrenia patients who are in the stable phase of their illness and assess functional connectivity using seeds in the lingual gyrus, the posterior cingulate, the right dorsolateral prefrontal cortex (dlPFC), the right anterior insula (rAI) and the right orbital frontoinsula. Twenty patients with schizophrenia in a stable phase of their illness (as defined by the course of illness and Signs and Symptoms of Psychotic Illness (SSPI) scores) and 20 age and sex-matched healthy controls underwent resting-state functional Magnetic Resonance Imaging (rs-fMRI). Data was analysed using the Data Processing Assistant for Resting-State fMRI Advanced Edition (DPARSFA) V3.1 ( http://rfmri.org/DPARSF ) and the statistical parametric mapping software 8 (SPM8). Compared with healthy controls, patients with schizophrenia showed increased connectivity between the left lingual gyrus and the middle frontal gyrus, and the cingulate cortex. Lingual gyrus hyper-connectivity may be a stable trait neuroimaging marker for schizophrenia. Our findings suggest that aberrant connectivity in major resting-state networks may not be present after the acute illness has stabilised.

Indexed as

Magnetic Resonance ImagingSchizophreniaBrainBrain MappingGyrus CinguliHumansNeuroimagingDPARSFADysconnectivityFunctional connectivityLingual gyrusSchizophrenia

Identifiers

PMID36241961
PMCPMC9712324
OpenAlexW4306249876

What OpenQuestion holds

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LicenceCC BY
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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.