Emerging Verbal Functions in Early Infancy: Lessons from Observational and Computational Approaches on Typical Development and Neurodevelopmental Disorders.
Autism
Developmental disorder
Infant
Speech-language
Vocalisation
Journal
Advances in neurodevelopmental disorders
ISSN: 2366-7532
Titre abrégé: Adv Neurodev Disord
Pays: Switzerland
ID NLM: 101709029
Informations de publication
Date de publication:
Dec 2022
Dec 2022
Historique:
entrez:
21
12
2022
pubmed:
22
12
2022
medline:
22
12
2022
Statut:
ppublish
Résumé
Research on typically developing (TD) children and those with neurodevelopmental disorders and genetic syndromes was targeted. Specifically, studies on autism spectrum disorder, Down syndrome, Rett syndrome, fragile X syndrome, cerebral palsy, Angelman syndrome, tuberous sclerosis complex, Williams-Beuren syndrome, Cri-du-chat syndrome, Prader-Willi syndrome, and West syndrome were searched. The objectives are to review observational and computational studies on the emergence of (pre-)babbling vocalisations and outline findings on acoustic characteristics of early verbal functions. A comprehensive review of the literature was performed including observational and computational studies focusing on spontaneous infant vocalisations at the pre-babbling age of TD children, individuals with genetic or neurodevelopmental disorders. While there is substantial knowledge about early vocal development in TD infants, the pre-babbling phase in infants with neurodevelopmental and genetic syndromes is scarcely scrutinised. Related approaches, paradigms, and definitions vary substantially and insights into the onset and characteristics of early verbal functions in most above-mentioned disorders are missing. Most studies focused on acoustic low-level descriptors (e.g. fundamental frequency) which bore limited clinical relevance. This calls for computational approaches to analyse features of infant typical and atypical verbal development. Pre-babbling vocalisations as precursor for future speech-language functions may reveal valuable signs for identifying infants at risk for atypical development. Observational studies should be complemented by computational approaches to enable in-depth understanding of the developing speech-language functions. By disentangling features of typical and atypical early verbal development, computational approaches may support clinical screening and evaluation.
Identifiants
pubmed: 36540761
doi: 10.1007/s41252-022-00300-7
pmc: PMC9762685
mid: NIHMS1852237
doi:
Types de publication
Journal Article
Langues
eng
Pagination
369-388Subventions
Organisme : NIAID NIH HHS
ID : R01 AI140718
Pays : United States
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