Evidence map›Paper›PMID 35994912›Full record

ArticleSchizophrenia research2022

Auditory N100 amplitude deficits predict conversion to psychosis in the North American Prodrome Longitudinal Study (NAPLS-2) cohort.

Erica Duncan, Brian J Roach, Nicholas Massa, Holly K Hamilton, Peter M Bachman, Aysenil Belger, Ricardo E Carrion, Jason K Johannesen, Gregory A Light, Margaret A Niznikiewicz and 12 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Schizophrenia research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Review
  5. Article
  6. Article
  7. Review
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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

22 authors at 12 institutions in 2 countries.

Erica DuncanAtlanta VA Health Care System, Decatur, GA, United States; Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States. Electronic address: erica.duncan@va.gov.
Brian J RoachSan Francisco VA Health Care System, San Francisco, CA, United States.
Nicholas MassaAtlanta VA Health Care System, Decatur, GA, United States.
Holly K HamiltonSan Francisco VA Health Care System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.
Peter M BachmanDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.
Aysenil BelgerDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, United States.
Ricardo E CarrionDepartment of Psychiatry, Zucker Hillside Hospital, New York, NY, United States.
Jason K JohannesenDepartment of Psychology, Yale University, New Haven, CT, United States; Department of Psychiatry, Yale University, New Haven, CT, United States.
Gregory A LightDepartment of Psychiatry, University of California, San Diego, San Diego, CA, United States.
Margaret A NiznikiewiczDepartment of Psychiatry, Harvard University, Cambridge, MA, United States.
Jean M AddingtonDepartment of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Carrie E BeardenDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
Kristin S CadenheadDepartment of Psychiatry, University of California, San Diego, San Diego, CA, United States.
Tyrone D CannonDepartment of Psychology, Yale University, New Haven, CT, United States; Department of Psychiatry, Yale University, New Haven, CT, United States.
Barbara A CornblattDepartment of Psychiatry, Zucker Hillside Hospital, New York, NY, United States.
Thomas H McGlashanDepartment of Psychology, Yale University, New Haven, CT, United States; Department of Psychiatry, Yale University, New Haven, CT, United States.
Diana O PerkinsDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, United States.
Ming TsuangDepartment of Psychiatry, University of California, San Diego, San Diego, CA, United States.
Elaine F WalkerDepartment of Psychology, Emory University, Atlanta, GA, United States.
Scott W WoodsDepartment of Psychology, Yale University, New Haven, CT, United States; Department of Psychiatry, Yale University, New Haven, CT, United States.
Nima NasiriAtlanta VA Health Care System, Decatur, GA, United States.
Daniel H MathalonSan Francisco VA Health Care System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.
Yale University · USUniversity of California San Diego · USAtlanta VA Health Care System · USEmory University · USSan Francisco VA Health Care System · USUniversity of North Carolina at Chapel Hill · USZucker Hillside Hospital · USHarvard University · USUniversity of Calgary · CAUniversity of California, Los Angeles · USUniversity of California, San Francisco · USUniversity of Pittsburgh · US

Funding

STRESS AND EMOTIONAL REACTIVITYP50MH066286 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YEE-BRADBURY, CINDY M. · 2003 to 2014
$18.6M
1/9 Predictors and Mechanisms of Conversion to PsychosisU01MH081902 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2008 to 2018
$12.4M
Vulnerability to Progression SchizophreniaP50MH080272 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI WOO, TSUNGUNG · 2007 to 2011
$9.9M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BELGER, AYSENIL · 2013 to 2019
$8.0M
5/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082004 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PERKINS, DIANA O. · 2008 to 2018
$7.5M
Administrative Supplement Harmonization of At Risk Multisite Observational Networks for Youth(HARMONY)U01MH081928 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI STONE, WILLIAM SETH · 2008 to 2018
$7.1M
4/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081857 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI CORNBLATT, BARBARA A. · 2008 to 2018
$6.2M
8/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082022 · NIMH · YALE UNIVERSITY · PI WOODS, SCOTT W · 2008 to 2018
$6.0M
2/9 - Predictors and Mechanisms of Conversion to PsychosisU01MH081988 · NIMH · EMORY UNIVERSITY · PI WALKER, ELAINE FRAN · 2008 to 2018
$5.4M
"7/9" Predictors and Mechanisms of Conversion to PsychosisU01MH081984 · NIMH · UNIVERSITY OF CALGARY · PI ADDINGTON, JEAN M · 2008 to 2018
$4.2M
VULNERABILITY MARKERS IN PRODROMAL SCHIZOPHRENIAR01MH060720 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2000 to 2010
$4.0M
NICHD NIH HHS P50 HD103573NICHD NIH HHS U54 HD079124NIMH NIH HHS K24 MH076191NIMH NIH HHS P50 MH066286NIMH NIH HHS P50 MH080272NIMH NIH HHS R01 MH060720NIMH NIH HHS R01 MH103790NIMH NIH HHS R01 MH117315NIMH NIH HHS U01 MH076989NIMH NIH HHS U01 MH081857NIMH NIH HHS U01 MH081902NIMH NIH HHS U01 MH081928NIMH NIH HHS U01 MH081984NIMH NIH HHS U01 MH081988NIMH NIH HHS U01 MH082004NIMH NIH HHS U01 MH082022
6 · The paper itself

Abstract

backgroundThe auditory N100 is an event related potential (ERP) that is reduced in schizophrenia, but its status in individuals at clinical high risk for psychosis (CHR) and its ability to predict conversion to psychosis remains unclear. We examined whether N100 amplitudes are reduced in CHR subjects relative to healthy controls (HC), and this reduction predicts conversion to psychosis in CHR.

methodsSubjects included CHR individuals (n = 552) and demographically similar HC subjects (n = 236) from the North American Prodrome Longitudinal Study. Follow-up assessments identified CHR individuals who converted to psychosis (CHRC; n = 73) and those who did not (CHR-NC; n = 225) over 24 months. Electroencephalography data were collected during an auditory oddball task containing Standard, Novel, and Target stimuli. N100 peak amplitudes following each stimulus were measured at electrodes Cz and Fz.

resultsThe CHR subjects had smaller N100 absolute amplitudes than HC subjects at Fz (F(1,786) = 4.00, p 0.046). A model comparing three groups (CHRC, CHR-NC, HC) was significant for Group at the Cz electrode (F(2,531) = 3.58, p = 0.029). Both Standard (p = 0.019) and Novel (p = 0.017) stimuli showed N100 absolute amplitude reductions in CHR-C relative to HC. A smaller N100 amplitude at Cz predicted conversion to psychosis in the CHR cohort (Standard: p = 0.009; Novel: p = 0.001) and predicted shorter time to conversion (Standard: p = 0.013; Novel: p = 0.001).

conclusionN100 amplitudes are reduced in CHR individuals which precedes the onset of psychosis. N100 deficits in CHR individuals predict a greater likelihood of conversion to psychosis. Our results highlight N100's utility as a biomarker of psychosis risk.

Indexed as

Psychotic DisordersSchizophreniaEvoked PotentialsHumansLongitudinal StudiesNorth AmericaProdromal SymptomsAuditory processingClinical high riskEvent-related potential (ERP)N100Schizophrenia

Identifiers

PMID35994912
PMCPMC10091223
OpenAlexW4292280778

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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.