Evidence map›Paper›PMID 30112814›Full record

ArticlePsychophysiology2018

Time-frequency approaches to investigating changes in feedback processing during childhood and adolescence.

M E Bowers, G A Buzzell, E M Bernat, N A Fox, T V Barker

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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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

16 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

5 authors.

M E BowersNeuroscience & Cognitive Science Program, University of Maryland, College Park, Maryland, USA.
G A BuzzellDepartment of Human Development & Quantitative Methodology, University of Maryland, College Park, Maryland, USA.
E M BernatNeuroscience & Cognitive Science Program, University of Maryland, College Park, Maryland, USA.
N A FoxNeuroscience & Cognitive Science Program, University of Maryland, College Park, Maryland, USA.
T V BarkerPrevention Science Institute, University of Oregon, Eugene, Oregon, USA.

Funding

Project IV: Investigating the Mirror Neuron System in austism spectrum disorderP01HD064653 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI FOX, NATHAN A · 2010 to 2020
$11.9M
Trajectories of Behavioral Inibition and Risk for AnxietyU01MH093349 · NIMH · UNIV OF MARYLAND, COLLEGE PARK · PI FOX, NATHAN A · 2011 to 2020
$6.6M
Training Program in Social DevelopmentT32HD007542 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI KILLEN, MELANIE ANN · 2003 to 2015
$1.9M
NICHD NIH HHS P01 HD064653NICHD NIH HHS T32 HD007542NIMH NIH HHS U01 MH093349
6 · The paper itself

Abstract

Processing feedback from the environment is an essential function during development to adapt behavior in advantageous ways. One measure of feedback processing, the feedback negativity (FN), is an ERP observed following the presentation of feedback. Findings detailing developmental changes in the FN have been mixed, possibly due to limitations in traditional ERP measurement methods. Recent work shows that both theta and delta frequency activity contribute to the FN; utilizing time-frequency methods to measure change in power and phase in these frequency bands may provide more accurate representation of feedback processing development in childhood and adolescence. We employ time-frequency power and intertrial phase synchrony measures, in addition to conventional time-domain ERP methods, to examine the development of feedback processing in the theta (4-7 Hz) and delta (.1-3 Hz) bands throughout adolescence. A sample of 54 female participants (8-17 years old) completed a gambling task while EEG was recorded. As expected, time-domain ERP amplitudes showed no association with age. In contrast, significant effects were observed for the time-frequency measures, with theta power decreasing with age and delta power increasing with age. For intertrial phase synchrony, delta synchrony increased with age, while age-related changes in theta synchrony differed for gains and losses. Collectively, these findings highlight the importance of considering time-frequency dynamics when exploring how the processing of feedback develops through late childhood and adolescence. In particular, the role of delta band activity and theta synchrony appear central to understanding age-related changes in the neural response to feedback.

Indexed as

Adolescent DevelopmentChild DevelopmentDelta RhythmSignal Processing, Computer-AssistedTheta RhythmAdolescentBrainChildDecision MakingFeedback, PsychologicalFemaleHumansImage Processing, Computer-AssistedMaleTime FactorsadolescentsdevelopmentEEGERPsgamblingoscillation/time-frequency analyses

Identifiers

PMID30112814
PMCPMC6150809

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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.