Gui, Anna and Throm, Elena and da Costa, Pedro and Penza, Francesca and Aguiló Mayans, Marian and Jordan-Barros, Antonia and Haartsen, Rianne and Leech, Robert and Jones, Emily (2024) Neuroadaptive Bayesian optimisation to study individual differences in infants’ engagement with social cues. Developmental Cognitive Neuroscience, 68. p. 101401. DOI https://doi.org/10.1016/j.dcn.2024.101401
Gui, Anna and Throm, Elena and da Costa, Pedro and Penza, Francesca and Aguiló Mayans, Marian and Jordan-Barros, Antonia and Haartsen, Rianne and Leech, Robert and Jones, Emily (2024) Neuroadaptive Bayesian optimisation to study individual differences in infants’ engagement with social cues. Developmental Cognitive Neuroscience, 68. p. 101401. DOI https://doi.org/10.1016/j.dcn.2024.101401
Gui, Anna and Throm, Elena and da Costa, Pedro and Penza, Francesca and Aguiló Mayans, Marian and Jordan-Barros, Antonia and Haartsen, Rianne and Leech, Robert and Jones, Emily (2024) Neuroadaptive Bayesian optimisation to study individual differences in infants’ engagement with social cues. Developmental Cognitive Neuroscience, 68. p. 101401. DOI https://doi.org/10.1016/j.dcn.2024.101401
Abstract
Infants’ motivation to engage with the social world depends on the interplay between individual brain’s characteristics and previous exposure to social cues such as the parent’s smile or eye contact. Different hypotheses about why specific combinations of emotional expressions and gaze direction engage children have been tested with group-level approaches rather than focusing on individual differences in the social brain development. Here, a novel Artificial Intelligence-enhanced brain-imaging approach, Neuroadaptive Bayesian Optimisation (NBO), was applied to infant electro-encephalography (EEG) to understand how selected neural signals encode social cues in individual infants. EEG data from 42 6- to 9-month-old infants looking at images of their parent’s face were analysed in real-time and used by a Bayesian Optimisation algorithm to identify which combination of the parent’s gaze/head direction and emotional expression produces the strongest brain activation in the child. This individualised approach supported the theory that the infant’s brain is maximally engaged by communicative cues with a negative valence (angry faces with direct gaze). Infants attending preferentially to faces with direct gaze had increased positive affectivity and decreased negative affectivity. This work confirmed that infants’ attentional preferences for social cues are heterogeneous and shows the NBO's potential to study diversity in neurodevelopmental trajectories.
Item Type: | Article |
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Uncontrolled Keywords: | Emotion; Gaze; individualised electroencephalography; infant; Neuroadaptive Bayesian Optimisation; socialisation |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Psychology, Department of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 05 Jul 2024 10:09 |
Last Modified: | 30 Oct 2024 21:33 |
URI: | http://repository.essex.ac.uk/id/eprint/38556 |
Available files
Filename: 2024_Gui_Neuroadaptive Bayesian optimisation to study individual differences in infants' engagement with social cues.pdf
Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0