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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10267635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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