Evidence map›Paper›PMID 31775531›Full record

ArticleCanadian journal of psychiatry. Revue canadienne de psychiatrie2020

Brain-Wide Functional Dysconnectivity in Schizophrenia: Parsing Diathesis, Resilience, and the Effects of Clinical Expression.

Shuixia Guo, Ningning He, Zhening Liu, Zeqiang Linli, Haojuan Tao, Lena Palaniyappan

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In one paragraph

Article in Canadian journal of psychiatry. Revue canadienne de psychiatrie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

6 authors.

Shuixia GuoMOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, People's Republic of China.ORCID 0000-0003-2714-3477
Ningning HeMOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, People's Republic of China.
Zhening LiuInstitute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Zeqiang LinliMOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, People's Republic of China.
Haojuan TaoInstitute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Lena PalaniyappanDepartment of Psychiatry, University of Western Ontario, London, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe functional dysconnectivity observed from functional magnetic resonance imaging (fMRI) studies in schizophrenia is also seen in unaffected siblings indicating its association with the genetic diathesis. We intended to apportion resting-state dysconnectivity into components that represent genetic diathesis, clinical expression or treatment effect, and resilience.

methodsfMRI data were acquired from 28 schizophrenia patients, 28 unaffected siblings, and 60 healthy controls. Based on Dosenbach's atlas, we extracted time series of 160 regions of interest. After constructing functional network, we investigated between-group differences in strength and diversity of functional connectivity and topological properties of undirected graphs.

resultsUsing analysis of variance, we found 88 dysconnectivities. Post hoc

conclusionA large portion of the resting-state functional dysconnectivity seen in patients represents a genetic diathesis effect. The most prominent network-level disruption is the dysconnectivity among nodes of the default mode and salience networks. Despite their predisposition, unaffected siblings show a pattern of resilience in the emergent connectomic topology. Our findings could potentially help refine imaging genetics approaches currently used in the pursuit of the pathophysiology of schizophrenia.

Indexed as

SchizophreniaBrainDisease SusceptibilityHumansMagnetic Resonance ImagingNeural PathwaysSiblingsfunctional connectivitygenetic riskgraph theoryschizophreniasibling

Identifiers

PMID31775531
PMCPMC6966251

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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.