Evidence map›Paper›PMID 37427077›Full record

ArticleJournal of psychiatry and brain science2023

A Review of Potential Neuroimaging Biomarkers of Schizophrenia-Risk.

Daniel Mamah

Open access · diamondAbstract read
In one paragraph

Article in Journal of psychiatry and brain science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 8 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

1 author at 1 institution in 1 country.

Daniel MamahDepartment of Psychiatry, Washington University Medical School, St. Louis, MO, 63110, USA.
Washington University in St. Louis · US

Funding

ProNET: Psychosis-Risk Outcomes NetworkU01MH124639 · NIMH · YALE UNIVERSITY · PI CARRIE E BEARDEN, JOHN M KANE · 2020 to 2026
$81.2M
Clinical and Biomarker-Based Trajectories of Psychosis-Risk Populations in KenyaR01MH127571 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL · 2021 to 2025
$3.3M
Validation of Diffusion Basis Spectrum Imaging of Neuroinflammation in SchizophreniaR21MH131962 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL, WANG, YONG · 2023 to 2024
$429k
Identifying Imaging Biomarkers of Schizophrenia-Risk in KenyaR21MH124060 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL · 2020 to 2020
$334k
NIMH NIH HHS R01 MH127571NIMH NIH HHS R21 MH124060NIMH NIH HHS R21 MH131962NIMH NIH HHS U01 MH124639
6 · The paper itself

Abstract

The risk for developing schizophrenia is increased among first-degree relatives of those with psychotic disorders, but the risk is even higher in those meeting established criteria for clinical high risk (CHR), a clinical construct most often comprising of attenuated psychotic experiences. Conversion to psychosis among CHR youth has been reported to be about 15-35% over three years. Accurately identifying individuals whose psychotic symptoms will worsen would facilitate earlier intervention, but this has been difficult to do using behavior measures alone. Brain-based risk markers have the potential to improve the accuracy of predicting outcomes in CHR youth. This narrative review provides an overview of neuroimaging studies used to investigate psychosis risk, including studies involving structural, functional, and diffusion imaging, functional connectivity, positron emission tomography, arterial spin labeling, magnetic resonance spectroscopy, and multi-modality approaches. We present findings separately in those observed in the CHR state and those associated with psychosis progression or resilience. Finally, we discuss future research directions that could improve clinical care for those at high risk for developing psychotic disorders.

Indexed as

ASLCHRdiffusion imagingfunctional connectivityhigh riskMR spectroscopyneuroimagingPETpsychosis riskschizophrenia riskstructuralUHR

Identifiers

PMID37427077
PMCPMC10327607
OpenAlexW4379057823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.