Evidence map›Paper›PMID 32507388›Full record

ReviewBiological psychiatry2020

Electroencephalography and Event-Related Potential Biomarkers in Individuals at Clinical High Risk for Psychosis.

Holly K Hamilton, Alison K Boos, Daniel H Mathalon

Open access · greenAbstract readReview
In one paragraph

Review in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  15. Review
  16. Review
  17. Article
  18. Neurobiology of schizophrenia.Current opinion in neurobiology · 2024
    Review
  19. Review
  20. A role for retro-splenial cortex in the task-related P3 network.bioRxiv : the preprint server for biology · 2023
    Article
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

3 authors at 3 institutions in 1 country.

Holly K HamiltonSan Francisco Veterans Affairs Health Care System, San Francisco, California; Department of Psychiatry, University of California, San Francisco, California.
Alison K BoosSan Francisco Veterans Affairs Health Care System, San Francisco, California; Northern California Institute for Research and Education, San Francisco, California.
Daniel H MathalonSan Francisco Veterans Affairs Health Care System, San Francisco, California; Department of Psychiatry, University of California, San Francisco, California. Electronic address: daniel.mathalon@ucsf.edu.
San Francisco VA Health Care System · USSan Francisco VA Medical Center · USUniversity of California, San Francisco · US

Funding

6/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081944 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2008 to 2018
$4.9M
9/9-Predictors and Mechanisms of Conversion to PsychosisU01MH076989 · NIMH · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MATHALON, DANIEL H · 2014 to 2018
$3.9M
Functional Brain Abnormalities in the Schizophrenia ProdromeR01MH076989 · NIMH · YALE UNIVERSITY · PI MATHALON, DANIEL H · 2007 to 2014
$2.3M
Deficient Neural Plasticity and its Functional Consequences in SchizophreniaIK2CX001878 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI HAMILTON, HOLLY K · 2019 to 2023
–
CSRD VA IK2 CX001878NIMH NIH HHS R01 MH076989NIMH NIH HHS U01 MH076989NIMH NIH HHS U01 MH081944
6 · The paper itself

Abstract

Clinical outcomes vary among youths at clinical high risk for psychosis (CHR-P), with approximately 20% progressing to full-blown psychosis over 2 to 3 years and 30% achieving remission. Recent research efforts have focused on identifying biomarkers that precede psychosis onset and enhance the accuracy of clinical outcome prediction in CHR-P individuals, with the ultimate goal of developing staged treatment approaches based on the individual's level of risk. Identifying such biomarkers may also facilitate progress toward understanding pathogenic mechanisms underlying psychosis onset, which may support the development of mechanistically informed early interventions for psychosis. In recent years, electroencephalography-based event-related potential measures with established sensitivity to schizophrenia have gained traction in the study of CHR-P and its clinical outcomes. In this review, we describe the evidence for event-related potential abnormalities in CHR-P and discuss how they inform our understanding of information processing deficits as vulnerability markers for emerging psychosis and as indicators of future outcomes. Among the measures studied, P300 and mismatch negativity are notable because deficits predict conversion to psychosis and/or CHR-P remission. However, the accuracy with which these and other measures predict outcomes in CHR-P has been obscured in the prior literature by the tendency to only report group-level differences, underscoring the need for inclusion of individual predictive accuracy metrics in future studies. Nevertheless, both P300 and mismatch negativity show promise as electrophysiological markers of risk for psychosis, as target engagement measures for clinical trials, and as potential translational bridges between human studies and animal models focused on novel drug development for early psychosis.

Indexed as

Psychotic DisordersSchizophreniaAdolescentBiomarkersElectroencephalographyEvoked PotentialsHumansBiomarkersClinical high risk for psychosisEvent-related potentialsMismatch negativityP300SchizophreniaSensory processing

Identifiers

PMID32507388
PMCPMC8300573
OpenAlexW3016635217

What OpenQuestion holds

Textmetadata
LicenceTDM
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.