Evidence map›Paper›PMID 26954597›Full record

ReviewHarvard review of psychiatry

Electrophysiological Endophenotypes for Schizophrenia.

Emily M Owens, Peter Bachman, David C Glahn, Carrie E Bearden

Abstract readReview
In one paragraph

Review in Harvard review of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. P300 in schizophrenia: Then and now.Biological psychology · 2024
    Review
  6. Article
  7. Article
  8. Animal Models of Relevance to the Schizophrenia Prodrome.Biological psychiatry global open science · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Endophenotype best practices.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2017
    Review
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

4 authors.

Emily M OwensFrom the Semel Institute for Neuroscience and Human Behavior, and Department of Psychology, University of California Los Angeles (Ms. Owens and Dr. Bearden); Department of Psychiatry, University of Pittsburgh (Dr. Bachman); Department of Psychiatry, Yale University School of Medicine, and Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT (Dr. Glahn).
Peter Bachman
David C Glahn
Carrie E Bearden

Funding

STRESS AND EMOTIONAL REACTIVITYP50MH066286 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NUECHTERLEIN, KEITH H · 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
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Gene Networks Influencing Psychotic Dysconnectivity in African AmericansR01MH106324 · NIMH · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2015 to 2019
$4.2M
1/3:Pedigree-Based Whole Genome Sequencing of Affective and Psychotic DisordersU01MH105630 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2015 to 2018
$1.4M
EEG Biomarkers of Psychosis Risk and Adolescent NeurodevelopmentK23MH097040 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BACHMAN, PETER · 2012 to 2016
$771k
NIBIB NIH HHS U54 EB020403NIMH NIH HHS K23 MH097040NIMH NIH HHS K23 MH097040-05NIMH NIH HHS P50 MH066286NIMH NIH HHS R01 MH106324NIMH NIH HHS U01 MH081902NIMH NIH HHS U01 MH105630NIMH NIH HHS U01 MH105630-01
6 · The paper itself

Abstract

Endophenotypes are quantitative, heritable traits that may help to elucidate the pathophysiologic mechanisms underlying complex disease syndromes, such as schizophrenia. They can be assessed at numerous levels of analysis; here, we review electrophysiological endophenotypes that have shown promise in helping us understand schizophrenia from a more mechanistic point of view. For each endophenotype, we describe typical experimental procedures, reliability, heritability, and reported gene and neurobiological associations. We discuss recent findings regarding the genetic architecture of specific electrophysiological endophenotypes, as well as converging evidence from EEG studies implicating disrupted balance of glutamatergic signaling and GABAergic inhibition in the pathophysiology of schizophrenia. We conclude that refining the measurement of electrophysiological endophenotypes, expanding genetic association studies, and integrating data sets are important next steps for understanding the mechanisms that connect identified genetic risk loci for schizophrenia to the disease phenotype.

Indexed as

Electrophysiological PhenomenaEndophenotypesCatechol O-MethyltransferaseGenetic Association StudiesGenetic Predisposition to DiseaseHumansMeta-Analysis as TopicSchizophreniaCatechol O-MethyltransferaseCOMT protein, human

Identifiers

PMID26954597
PMCPMC4785844

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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.