Evidence map›Paper›PMID 36928162›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm.

Hannah Rapaport, Robert A Seymour, Nicholas Benikos, Wei He, Elizabeth Pellicano, Jon Brock, Paul F Sowman

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Hannah RapaportSchool of Psychological Sciences, 16 University Ave, Macquarie University, Sydney, 2109, Australia.ORCID 0000-0001-5666-5966
Robert A SeymourWellcome Centre for Human Neuroimaging, 12 Queen Square, London WC1N 3AR, United Kingdom.ORCID 0000-0001-8600-8123
Nicholas BenikosSchool of Psychological Sciences, 16 University Ave, Macquarie University, Sydney, 2109, Australia.ORCID 0000-0003-0905-4315
Wei HeSchool of Psychological Sciences, 16 University Ave, Macquarie University, Sydney, 2109, Australia.ORCID 0000-0002-9547-6516
Elizabeth PellicanoMacquarie School of Education, 26 Wally's Walk, Macquarie University, Sydney, 2109, Australia.ORCID 0000-0002-7246-8003
Jon BrockSchool of Psychological Sciences, 16 University Ave, Macquarie University, Sydney, 2109, Australia.ORCID 0000-0002-9655-3667
Paul F SowmanSchool of Psychological Sciences, 16 University Ave, Macquarie University, Sydney, 2109, Australia.ORCID 0000-0002-3863-6675
The University of Sydney · AUUniversity College London · GBWellcome Centre for Human Neuroimaging · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is mounting evidence for predictive coding theory from computational, neuroimaging, and psychological research. However, there remains a lack of research exploring how predictive brain function develops across childhood. To address this gap, we used pediatric magnetoencephalography to record the evoked magnetic fields of 18 younger children (M = 4.1 years) and 19 older children (M = 6.2 years) as they listened to a 12-min auditory oddball paradigm. For each child, we computed a mismatch field "MMF": an electrophysiological component that is widely interpreted as a neural signature of predictive coding. At the sensor level, the older children showed significantly larger MMF amplitudes relative to the younger children. At the source level, the older children showed a significantly larger MMF amplitude in the right inferior frontal gyrus relative to the younger children, P < 0.05. No differences were found in 2 other key regions (right primary auditory cortex and right superior temporal gyrus) thought to be involved in mismatch generation. These findings support the idea that predictive brain function develops during childhood, with increasing involvement of the frontal cortex in response to prediction errors. These findings contribute to a deeper understanding of the brain function underpinning child cognitive development.

Indexed as

Auditory CortexMagnetoencephalographyAcoustic StimulationAdolescentAuditory PerceptionChildChild DevelopmentEvoked Potentials, AuditoryHumansTemporal LobeAuditoryChildMagnetoencephalographyMismatch field

Identifiers

PMID36928162
PMCPMC10267635
OpenAlexW4327544796

What OpenQuestion holds

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LicenceCC BY
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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.