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, Paul F. Sowman

Research output: Working paperPreprint

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.
Original languageEnglish
DOIs
Publication statusSubmitted - 28 Jul 2022

Publication series

NamebioRxiv

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