Evidence map›Paper›PMID 41646831›Full record

ArticleBiological psychiatry global open science2026

Theta Oscillations Assessed From a Passive Auditory Oddball Paradigm in Individuals at Clinical High-Risk for Psychosis and Healthy Control Individuals: Associations with Clinical Outcomes and Mismatch Negativity.

Jessica P Y Hua, Brian J Roach, Holly K Hamilton, Peter M Bachman, Aysenil Belger, Ricardo E Carrión, Erica Duncan, Jason K Johannesen, Gregory A Light, Margaret Niznikiewicz and 9 more

Abstract read
In one paragraph

Article in Biological psychiatry global open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

19 authors.

Jessica P Y HuaMental Health Service, San Francisco VA Healthcare System, San Francisco, California.
Brian J RoachDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California.
Holly K HamiltonDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California.
Peter M BachmanDepartment of Psychiatry & Behavioral Sciences, Boston Children's Hospital, Boston, Massachusetts.
Aysenil BelgerDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Ricardo E CarriónNorthwell Health, New Hyde Park, New York.
Erica DuncanAtlanta VA Health Care System, Decatur, Georgia.
Jason K JohannesenDepartment of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut.
Gregory A LightDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Margaret NiznikiewiczDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Massachusetts General Hospital, Boston, Massachusetts.
Jean AddingtonDepartment of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.
Carrie E BeardenSemel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California.
Kristin S CadenheadDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Diana O PerkinsDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
William S StoneDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Massachusetts General Hospital, Boston, Massachusetts.
Elaine F WalkerDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia.
Scott W WoodsDepartment of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut.
Tyrone D CannonDepartment of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut.
Daniel H MathalonMental Health Service, San Francisco VA Healthcare System, San Francisco, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reduced mismatch negativity (MMN) is a widely replicated schizophrenia biomarker. Time-frequency analyses suggest that deficient phase synchrony and/or power of electroencephalography (EEG) event-related oscillations, especially theta, contribute to MMN deficits in schizophrenia. Whether theta oscillations assessed from a passive auditory oddball paradigm are abnormal in clinical high-risk for psychosis (CHR-P) individuals and whether these oscillations predict CHR-P clinical outcomes remain unclear. These questions were addressed using data from NAPLS2 (North American Prodrome Longitudinal Study 2). Methods: EEG was recorded from 77 CHR-P individuals who converted to psychosis (CHR-Cs), 238 CHR-P nonconverters (CHR-NCs) who completed a 24-month follow-up, and 241 healthy control (HC) individuals. Theta oscillations elicited by standard and deviant tones were calculated. Theta (4-6 Hz) intertrial phase coherence (ITC) and total power were compared between groups and evaluated as predictors of time to psychosis conversion in the full CHR-P sample. Furthermore, analyses of covariance were used to assess whether theta deficits persisted while covarying for MMN. Results: The CHR-C group, relative to the HC and CHR-NC groups, had reduced theta ITC for standards and deviants ( Conclusions: These results implicate abnormalities in microcircuit generators of theta oscillations in CHR-P individuals at highest risk.

Indexed as

Auditory mismatch negativityClinical high-risk for psychosisEvent-related oscillationsTheta band oscillatory measuresTime-frequency analysis

Identifiers

PMID41646831
PMCPMC12870832

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.