Evidence map›Paper›PMID 26908319›Full record

ArticleNeuroImage2016

Neuroimaging measures of error-processing: Extracting reliable signals from event-related potentials and functional magnetic resonance imaging.

Vaughn R Steele, Nathaniel E Anderson, Eric D Claus, Edward M Bernat, Vikram Rao, Michal Assaf, Godfrey D Pearlson, Vince D Calhoun, Kent A Kiehl

Abstract read
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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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

9 authors.

Vaughn R SteeleNeuroimaging Research Branch, National Institute of Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA; The nonprofit Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, New Mexico, USA; University of New Mexico, USA. Electronic address: vaughn.r.steele@gmail.com.
Nathaniel E AndersonThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, New Mexico, USA.
Eric D ClausThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, New Mexico, USA.
Edward M BernatUniversity of Maryland, College Park, USA.
Vikram RaoThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, New Mexico, USA.
Michal AssafYale University School of Medicine, New Haven, CT, USA; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA.
Godfrey D PearlsonYale University School of Medicine, New Haven, CT, USA; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA.
Vince D CalhounThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, New Mexico, USA; University of New Mexico, USA; Yale University School of Medicine, New Haven, CT, USA.
Kent A KiehlThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, New Mexico, USA; University of New Mexico, USA.

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI Matthew J Girgenti · 2001 to 2026
$43.7M
Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI CHEN, YU-HAN · 2012 to 2017
$14.3M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Brain changes and outcomes accompanying evidence-based treatment in high-risk youthR01HD082257 · NICHD · THE MIND RESEARCH NETWORK · PI CALDWELL, MICHAEL F., KIEHL, KENT A · 2015 to 2020
$3.5M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
NEUROCOGNITIVE ASSESSMENT OF 'CALLOUS' CONDUCT DISORDERED YOUTHR01MH071896 · NIMH · THE MIND RESEARCH NETWORK · PI KIEHL, KENT A · 2006 to 2010
$1.7M
Reward, Impulsivity and Cocaine Addiction; fMRI StudiesR01DA020709 · NIDA · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2006 to 2009
$1.6M
ERP and fMRI of emotion and cognition in psychopathyR01MH070539 · NIMH · THE MIND RESEARCH NETWORK · PI KIEHL, KENT A · 2005 to 2008
$1.2M
Refining a Taxonomy for Externalizing Psychopatholgy Using Genomic ImagingF32MH098532 · NIMH · LOVELACE BIOMEDICAL & ENVIRONMENTAL RESEARCH INSTITUTE · PI ANDERSON, NATHANIEL ERIK · 2013 to 2015
$167k
Intramural NIH HHS Z99 DA999999NIAAA NIH HHS P50 AA012870NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NICHD NIH HHS R01 HD082257NIDA NIH HHS R01 DA020709NIGMS NIH HHS P20 GM103472NIMH NIH HHS F32 MH098532NIMH NIH HHS R01 MH070539NIMH NIH HHS R01 MH071896
6 · The paper itself

Abstract

Error-related brain activity has become an increasingly important focus of cognitive neuroscience research utilizing both event-related potentials (ERPs) and functional magnetic resonance imaging (fMRI). Given the significant time and resources required to collect these data, it is important for researchers to plan their experiments such that stable estimates of error-related processes can be achieved efficiently. Reliability of error-related brain measures will vary as a function of the number of error trials and the number of participants included in the averages. Unfortunately, systematic investigations of the number of events and participants required to achieve stability in error-related processing are sparse, and none have addressed variability in sample size. Our goal here is to provide data compiled from a large sample of healthy participants (n=180) performing a Go/NoGo task, resampled iteratively to demonstrate the relative stability of measures of error-related brain activity given a range of sample sizes and event numbers included in the averages. We examine ERP measures of error-related negativity (ERN/Ne) and error positivity (Pe), as well as event-related fMRI measures locked to False Alarms. We find that achieving stable estimates of ERP measures required four to six error trials and approximately 30 participants; fMRI measures required six to eight trials and approximately 40 participants. Fewer trials and participants were required for measures where additional data reduction techniques (i.e., principal component analysis and independent component analysis) were implemented. Ranges of reliability statistics for various sample sizes and numbers of trials are provided. We intend this to be a useful resource for those planning or evaluating ERP or fMRI investigations with tasks designed to measure error-processing.

Indexed as

Evoked PotentialsAdolescentAdultBrainBrain MappingBrain WavesElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedReproducibility of ResultsSignal Processing, Computer-AssistedYoung AdultERPError-processingfMRIIndependent component analysisPrincipal component analysisReliabilityTime–frequency analysis

Identifiers

PMID26908319
PMCPMC4860744

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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.