Summary information

Study title

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...
Read more

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.

Related publications

Not available