Evidence map›Paper›PMID 25628553›Full record

ReviewFrontiers in human neuroscience2014

Approaching a network connectivity-driven classification of the psychosis continuum: a selective review and suggestions for future research.

André Schmidt, Vaibhav A Diwadkar, Renata Smieskova, Fabienne Harrisberger, Undine E Lang, Philip McGuire, Paolo Fusar-Poli, Stefan Borgwardt

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 70 citations in OpenAlex.

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  11. Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode.International journal of environmental research and public health · 2022
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  18. Brain gray matter network organization in psychotic disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
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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 1 institution in 2 countries.

André SchmidtDepartment of Psychiatry (UPK), University of Basel Basel, Switzerland.
Vaibhav A DiwadkarDepartment of Psychiatry and Behavioral Neurosciences, Wayne State University Detroit, Michigan, USA.
Renata SmieskovaDepartment of Psychiatry (UPK), University of Basel Basel, Switzerland.
Fabienne HarrisbergerDepartment of Psychiatry (UPK), University of Basel Basel, Switzerland.
Undine E LangDepartment of Psychiatry (UPK), University of Basel Basel, Switzerland.
Philip McGuireDepartment of Psychosis Studies, Institute of Psychiatry, King's College London London, UK.
Paolo Fusar-PoliDepartment of Psychosis Studies, Institute of Psychiatry, King's College London London, UK.
Stefan BorgwardtDepartment of Psychiatry (UPK), University of Basel Basel, Switzerland ; Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK.
University of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain changes in schizophrenia evolve along a dynamic trajectory, emerging before disease onset and proceeding with ongoing illness. Recent investigations have focused attention on functional brain interactions, with experimental imaging studies supporting the disconnection hypothesis of schizophrenia. These studies have revealed a broad spectrum of abnormalities in brain connectivity in patients, particularly for connections integrating the frontal cortex. A critical point is that brain connectivity abnormalities, including altered resting state connectivity within the fronto-parietal (FP) network, are already observed in non-help-seeking individuals with psychotic-like experiences. If we consider psychosis as a continuum, with individuals with psychotic-like experiences at the lower and psychotic patients at the upper ends, individuals with psychotic-like experiences represent a key population for investigating the validity of putative biomarkers underlying the onset of psychosis. This paper selectively addresses the role played by FP connectivity in the psychosis continuum, which includes patients with chronic psychosis, early psychosis, clinical high risk, genetic high risk, as well as the general population with psychotic experiences. We first discuss structural connectivity changes among the FP pathway in each domain in the psychosis continuum. This may provide a basis for us to gain an understanding of the subsequent changes in functional FP connectivity. We further indicate that abnormal FP connectivity may arise from glutamatergic disturbances of this pathway, in particular from abnormal NMDA receptor-mediated plasticity. In the second part of this paper we propose some concepts for further research on the use of network connectivity in the classification of the psychosis continuum. These concepts are consistent with recent efforts to enhance the role of data in driving the diagnosis of psychiatric spectrum diseases.

Indexed as

DTIdynamic causal modelingfMRIfronto-parietal connectivityfunctional connectivitygraph theorypsychosis continuumstructural connectivity

Identifiers

PMID25628553
PMCPMC4292722
OpenAlexW2069561209

What OpenQuestion holds

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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.