Evidence map›Paper›PMID 21111401›Full record

ReviewBiological psychiatry2011

A roadmap for the development and validation of event-related potential biomarkers in schizophrenia research.

Steven J Luck, Daniel H Mathalon, Brian F O'Donnell, Matti S Hämäläinen, Kevin M Spencer, Daniel C Javitt, Peter J Uhlhaas

Open access · greenAbstract readReview
In one paragraph

Review in Biological psychiatry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 1 pooled it
5.8field-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

91 citing papers in PubMed, 1 synthesis or guideline pooled it, 192 citations in OpenAlex.

  1. Pooled it
  2. GABA Deficits Enhance the Psychotomimetic Effects of Δ9-THC.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2015
    Trial
  3. Memantine effects on verbal memory in fragile X-associated tremor/ataxia syndrome (FXTAS): a double-blind brain potential study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
    Trial
  4. Dose-related modulation of event-related potentials to novel and target stimuli by intravenous Δ⁹-THC in humans.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2012
    Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. How to Solve Clinical Challenges in Mood Disorders; Machine Learning Approaches Using Electrophysiological Markers.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
    Review
  15. Review
  16. Article
  17. P300 in schizophrenia: Then and now.Biological psychology · 2024
    Review
  18. Review
  19. Review
  20. Article

31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 7 institutions in 2 countries.

Steven J LuckCenter for Mind & Brain and Department of Psychology, University of California, Davis, Davis, California 95618, USA. sjluck@ucdavis.edu
Daniel H Mathalon
Brian F O'Donnell
Matti S Hämäläinen
Kevin M Spencer
Daniel C Javitt
Peter J Uhlhaas
Athinoula A. Martinos Center for Biomedical Imaging · USIndiana University Bloomington · USMax Planck Institute for Brain Research · DENathan Kline Institute for Psychiatric Research · USUniversity of California, San Francisco · USUniversity of California System · USVA Boston Healthcare System · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
INDIANA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE (UL1): BPCAUL1RR025761 · NCRR · INDIANA UNIVERSITY INDIANAPOLIS · PI SHEKHAR, ANANTHA · 2008 to 2011
$21.0M
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI POSTOLACHE, TEODOR T · 2002 to 2009
$20.2M
ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 1999 to 2011
$16.4M
Cognitive Neuroscience of Attention in SchizophreniaR01MH065034 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI James M. Gold, STEVEN J LUCK · 2001 to 2026
$13.9M
Dynamic Inverse Solutions for Multimodal ImagingR01EB006385 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 2007 to 2011
$6.7M
8/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082022 · NIMH · YALE UNIVERSITY · PI WOODS, SCOTT W · 2008 to 2018
$6.0M
Tools for Large-Scale Platform-Independent MEG Data AnalysisR01EB009048 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI HAMALAINEN, MATTI, LEAHY, RICHARD M · 2009 to 2016
$4.6M
Visual Working Memory: Representation and ProcessR01MH076226 · NIMH · UNIVERSITY OF IOWA · PI LUCK, STEVEN J · 2006 to 2020
$4.5M
Early Cortical Processing In SchizophreniaR37MH049334 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI JAVITT, DANIEL C. · 2003 to 2012
$4.2M
Functional Brain Abnormalities in the Schizophrenia ProdromeR01MH076989 · NIMH · YALE UNIVERSITY · PI MATHALON, DANIEL H · 2007 to 2014
$2.3M
CSRD VA I01 CX000154NCATS NIH HHS UL1 TR001108NCRR NIH HHS M01 RR016500NCRR NIH HHS P41 RR014075NCRR NIH HHS P41-RR14075NCRR NIH HHS RR025761NCRR NIH HHS UL1 RR025761NIBIB NIH HHS R01 EB006385NIBIB NIH HHS R01EB006385NIBIB NIH HHS R01 EB009048NIBIB NIH HHS R01EB009048NIMH NIH HHS R01 MH062150NIMH NIH HHS R01 MH065034NIMH NIH HHS R01MH065034NIMH NIH HHS R01 MH076226NIMH NIH HHS R01MH076226NIMH NIH HHS R01 MH076989NIMH NIH HHS R01MH076989NIMH NIH HHS R01 MH080187NIMH NIH HHS R01MH080187NIMH NIH HHS R01MH082022NIMH NIH HHS R01MH62150NIMH NIH HHS R21 MH091774NIMH NIH HHS R37 MH049334NIMH NIH HHS R37MH49334NIMH NIH HHS U01 MH082022
6 · The paper itself

Abstract

New efforts to develop treatments for cognitive dysfunction in mental illnesses would benefit enormously from biomarkers that provide sensitive and reliable measures of the neural events underlying cognition. Here, we evaluate the promise of event-related potentials (ERPs) as biomarkers of cognitive dysfunction in schizophrenia. We conclude that ERPs have several desirable properties: (1) they provide a direct measure of electrical activity during neurotransmission; (2) their high temporal resolutions make it possible to measure neural synchrony and oscillations; (3) they are relatively inexpensive and convenient to record; (4) animal models are readily available for several ERP components; (5) decades of research has established the sensitivity and reliability of ERP measures in psychiatric illnesses; and 6) feasibility of large N (>500) multisite studies has been demonstrated for key measures. Consequently, ERPs may be useful for identifying endophenotypes and defining treatment targets, for evaluating new compounds in animals and in humans, and for identifying individuals who are good candidates for early interventions or for specific treatments. However, several challenges must be overcome before ERPs gain widespread use as biomarkers in schizophrenia research, and we make several recommendations for the research that is necessary to develop and validate ERP-based biomarkers that can have a real impact on treatment development.

Indexed as

BiomarkersAnimalsBrain MappingEvoked PotentialsHumansReproducibility of ResultsSchizophreniaBiomarkers

Identifiers

PMID21111401
PMCPMC3116072
OpenAlexW2086572644

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.