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Investigating Predictive Coding in Younger and Older Children Using MEG and a Multi-Feature Auditory Oddball Paradigm

Authors :
Hannah Rapaport
Robert A. Seymour
Nicholas Benikos
Wei He
Elizabeth Pellicano
Paul F. Sowman
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

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 paediatric magnetoencephalography (MEG) 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-minute 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. Consistent with our hypotheses, the older children showed significantly larger MMF amplitudes relative to the younger children. Furthermore, the older children showed a significantly larger MMF amplitude in the right inferior frontal gyrus (IFG; 0.312 to 0.33 s) relative to the younger children, p < .05. 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.HighlightsThis is the first paediatric MEG study to examine the sources underlying the MMF.Older children showed larger MMF amplitudes in the right inferior frontal gyrus.Results support the idea that predictive brain function develops during childhood.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........1bba37051626cc0fdccf795dd8f353f1
Full Text :
https://doi.org/10.1101/2022.07.26.501632