Neuroadaptive Bayesian optimisation to study individual differences in infants' engagement with social cues.

Autor:	Gui A; Centre for Brain and Cognitive Development, Department of Psychological Science, Birkbeck, University of London, Malet Street, London WC1E 7HX, United Kingdom; Department of Psychology, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom. Electronic address: anna.gui@essex.ac.uk., Throm E; Centre for Brain and Cognitive Development, Department of Psychological Science, Birkbeck, University of London, Malet Street, London WC1E 7HX, United Kingdom., da Costa PF; Department of Neuroimaging, Institute of Psychiatry, Psychology and, Neuroscience, King's College London, de Crespigny Road, London SE5 8AB, United Kingdom., Penza F; Centre for Brain and Cognitive Development, Department of Psychological Science, Birkbeck, University of London, Malet Street, London WC1E 7HX, United Kingdom., Aguiló Mayans M; Centre for Brain and Cognitive Development, Department of Psychological Science, Birkbeck, University of London, Malet Street, London WC1E 7HX, United Kingdom., Jordan-Barros A; Centre for Brain and Cognitive Development, Department of Psychological Science, Birkbeck, University of London, Malet Street, London WC1E 7HX, United Kingdom., Haartsen R; Centre for Brain and Cognitive Development, Department of Psychological Science, Birkbeck, University of London, Malet Street, London WC1E 7HX, United Kingdom., Leech R; Department of Neuroimaging, Institute of Psychiatry, Psychology and, Neuroscience, King's College London, de Crespigny Road, London SE5 8AB, United Kingdom., Jones EJH; Centre for Brain and Cognitive Development, Department of Psychological Science, Birkbeck, University of London, Malet Street, London WC1E 7HX, United Kingdom.
Jazyk:	angličtina
Zdroj:	Developmental cognitive neuroscience [Dev Cogn Neurosci] 2024 Aug; Vol. 68, pp. 101401. Date of Electronic Publication: 2024 Jun 10.
DOI:	10.1016/j.dcn.2024.101401
Abstrakt:	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. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze:	MEDLINE
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