Evidence map›Paper›PMID 30753731›Full record

ArticleSchizophrenia bulletin2019

Auditory and Visual Oddball Stimulus Processing Deficits in Schizophrenia and the Psychosis Risk Syndrome: Forecasting Psychosis Risk With P300.

Holly K Hamilton, Scott W Woods, Brian J Roach, Katiah Llerena, Thomas H McGlashan, Vinod H Srihari, Judith M Ford, Daniel H Mathalon

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 4 pooled it
4.6field-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

47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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  16. P300 in schizophrenia: Then and now.Biological psychology · 2024
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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 3 institutions in 1 country.

Holly K HamiltonMental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA.
Scott W WoodsDepartment of Psychiatry, Yale University, New Haven, CT.
Brian J RoachMental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA.
Katiah LlerenaMental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA.
Thomas H McGlashanDepartment of Psychiatry, Yale University, New Haven, CT.
Vinod H SrihariDepartment of Psychiatry, Yale University, New Haven, CT.
Judith M FordMental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA.
Daniel H MathalonMental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA.
University of California, San Francisco · USYale University · USSan Francisco VA Health Care System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
8/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082022 · NIMH · YALE UNIVERSITY · PI WOODS, SCOTT W · 2008 to 2018
$6.0M
Functional Brain Abnormalities in the Schizophrenia ProdromeR01MH076989 · NIMH · YALE UNIVERSITY · PI MATHALON, DANIEL H · 2007 to 2014
$2.3M
Neurobiology of response monitoring failure in schizophreniaK02MH067967 · NIMH · YALE UNIVERSITY · PI FORD, JUDITH M · 2003 to 2010
$1.1M
NCATS NIH HHS UL1 TR001863NIMH NIH HHS K02 MH067967NIMH NIH HHS R01 MH076989NIMH NIH HHS U01 MH082022
6 · The paper itself

Abstract

Identification of neurophysiological abnormalities associated with schizophrenia that predate and predict psychosis onset may improve clinical prediction in the psychosis risk syndrome (PRS) and help elucidate the pathogenesis of schizophrenia. Amplitude reduction of the P300 event-related potential component reflects attention-mediated processing deficits and is among the most replicated biological findings in schizophrenia, making it a candidate biomarker of psychosis risk. The relative extent to which deficits in P300 amplitudes elicited by auditory and visual oddball stimuli precede psychosis onset during the PRS and predict transition to psychosis, however, remains unclear. Forty-three individuals meeting PRS criteria, 19 schizophrenia patients, and 43 healthy control (HC) participants completed baseline electroencephalography recording during separate auditory and visual oddball tasks. Two subcomponents of P300 were measured: P3b, elicited by infrequent target stimuli, and P3a, elicited by infrequent nontarget novel stimuli. Auditory and visual target P3b and novel P3a amplitudes were reduced in PRS and schizophrenia participants relative to HC participants. In addition, baseline auditory and visual target P3b, but not novel P3a, amplitudes were reduced in 15 PRS participants who later converted to psychosis, relative to 18 PRS non-converters who were followed for at least 22 months. Furthermore, target P3b amplitudes predicted time to psychosis onset among PRS participants. These results suggest that P300 amplitude deficits across auditory and visual modalities emerge early in the schizophrenia illness course and precede onset of full psychosis. Moreover, target P3b may represent an important neurophysiological vulnerability marker of the imminence of risk for psychosis.

Indexed as

Acoustic StimulationAdolescentAdultCase-Control StudiesCognitionElectroencephalographyEvent-Related Potentials, P300Evoked Potentials, AuditoryEvoked Potentials, VisualFemaleHumansLongitudinal StudiesMalePhotic StimulationProdromal SymptomsPsychotic Disordersauditory deviance processingclinical high riskelectroencephalographyevent-related potentiallongitudinal

Identifiers

PMID30753731
PMCPMC6737543
OpenAlexW2911360931

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.