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Neuroadaptive Bayesian Optimisation to Predict an Individual Infant's Brain Response Towards Faces Resembling Parent or Stranger, 2022
Creator
Jones, E, Birkbeck, University of London
Gui, A, Birkbeck, University of London
Throm, E, Birkbeck, University of London
Study number / PID
856214 (UKDA)
10.5255/UKDA-SN-856214 (DOI)
Data access
Restricted
Series
Not available
Abstract
This proof-of-principle study extends the novel experimental approach of Neuroadaptive Bayesian Optimisation (NBO) to infant EEG data to study individual infants' engagement with social stimuli. In particular, the Negative central event-related potential component was optimised across a range of familiar and nonfamiliar faces. Previous group-level research suggested an initial attentional preference for parent’s vs. stranger’s face around 6 months with a subsequent change towards enhanced attention to the stranger’s face. The present individualised NBO study included n=62 infants aged 5-12 months who were presented with faces linearly varying in similarity to parent’s face. Results showed lower-than-usual attrition rate, and an equal proportion of infants preferably attending to parent and stranger, with the individual’s probability of preferably attending to parent’s face increasing between 5 and 12 months but being unrelated to parent-reported social behaviour. This study proves the feasibility of the NBO approach with infant neurophysiological data to identify among a range of cues the one that maximally triggers social brain activity in the individual infant. Further, this study suggests that on the individual level, infants differ in whether they preferably attend to parent or stranger in the second half of the first year of life.Babies are born with a drive to interact with other people. Within a year, this drive takes them from a passive newborn to a smiling, talking toddler. Our goals shape how sociable we are and who we socialise with across the lifespan, and are thus fundamental to social psychology (Over, 2016). However, the reasons why babies choose to interact remains a mystery. Measuring motivation is difficult because it is generated by the child, whilst traditional experimental methods measure passive responses to stimuli produced by the experimenter. Our transformative approach to studying infant social motivation is inspired by innovations in...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/01/2022 - 03/08/2022
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Group
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Text
Video
Data collection mode
Typically developing infants aged between 5 and 12 months took part in a study combining real-time analysis of EEG data with machine learning (Neuroadaptive Bayesian Optimisation). Parents filled in questionnaires about their child's behaviour, environment as well as parental mood.
Funding information
Grant number
ES/R009368/1
Access
Publisher
UK Data Service
Publication year
2023
Terms of data access
The UK Data Archive has granted a dissemination embargo. The embargo will end on 21 August 2024 and the data will then be available in accordance with the access level selected.