Evidence map›Paper›PMID 29226966›Full record

ArticlePsychophysiology2018

Using trial-level data and multilevel modeling to investigate within-task change in event-related potentials.

Hannah I Volpert-Esmond, Edgar C Merkle, Meredith P Levsen, Tiffany A Ito, Bruce D Bartholow

Abstract read
In one paragraph

Article in Psychophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  13. Development and validation of a prediction model for falls among older people using community-based data.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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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

5 authors.

Hannah I Volpert-EsmondDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.
Edgar C MerkleDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.
Meredith P LevsenDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.
Tiffany A ItoDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA.
Bruce D BartholowDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.

Funding

Motivated Attention: Effects of Alcohol Advertising on Youth DrinkingR01AA020970 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI BARTHOLOW, BRUCE D · 2012 to 2015
$1.6M
NIAAA NIH HHS R01 AA020970
6 · The paper itself

Abstract

EEG data, and specifically the ERP, provide psychologists with the power to examine quickly occurring cognitive processes at the native temporal resolution at which they occur. Despite the advantages conferred by ERPs to examine processes at different points in time, ERP researchers commonly ignore the trial-to-trial temporal dimension by collapsing across trials of similar types (i.e., the signal averaging approach) because of constraints imposed by repeated measures ANOVA. Here, we present the advantages of using multilevel modeling (MLM) to examine trial-level data to investigate change in neurocognitive processes across the course of an experiment. Two examples are presented to illustrate the usefulness of this technique. The first demonstrates decreasing differentiation in N170 amplitude to faces of different races across the course of a race categorization task. The second demonstrates attenuation of the ERN as participants commit more errors within a task designed to measure implicit racial bias. Although the examples presented here are within the realm of social psychology, the use of MLM to analyze trial-level EEG data has the potential to contribute to a number of different theoretical domains within psychology.

Indexed as

AdolescentAdultBrainBrain MappingElectroencephalographyEvoked PotentialsFemaleHumansMaleMiddle AgedMultilevel AnalysisReaction TimeSignal Processing, Computer-AssistedYoung Adultanalysis/statistical methodsERPserror processingface processing

Identifiers

PMID29226966
PMCPMC5899682

What OpenQuestion holds

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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.