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

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 t...

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Autores principales: Rapaport, Hannah, Seymour, Robert A, Benikos, Nicholas, He, Wei, Pellicano, Elizabeth, Brock, Jon, Sowman, Paul F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267635/
https://www.ncbi.nlm.nih.gov/pubmed/36928162
http://dx.doi.org/10.1093/cercor/bhad054
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author Rapaport, Hannah
Seymour, Robert A
Benikos, Nicholas
He, Wei
Pellicano, Elizabeth
Brock, Jon
Sowman, Paul F
author_facet Rapaport, Hannah
Seymour, Robert A
Benikos, Nicholas
He, Wei
Pellicano, Elizabeth
Brock, Jon
Sowman, Paul F
author_sort Rapaport, Hannah
collection PubMed
description 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.
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spelling pubmed-102676352023-06-15 Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm Rapaport, Hannah Seymour, Robert A Benikos, Nicholas He, Wei Pellicano, Elizabeth Brock, Jon Sowman, Paul F Cereb Cortex Original Article 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. Oxford University Press 2023-03-16 /pmc/articles/PMC10267635/ /pubmed/36928162 http://dx.doi.org/10.1093/cercor/bhad054 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Rapaport, Hannah
Seymour, Robert A
Benikos, Nicholas
He, Wei
Pellicano, Elizabeth
Brock, Jon
Sowman, Paul F
Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm
title Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm
title_full Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm
title_fullStr Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm
title_full_unstemmed Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm
title_short Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm
title_sort investigating predictive coding in younger and older children using meg and a multi-feature auditory oddball paradigm
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267635/
https://www.ncbi.nlm.nih.gov/pubmed/36928162
http://dx.doi.org/10.1093/cercor/bhad054
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