What Do Differences between Alternating and Sequential Diadochokinetic Tasks Tell Us about the Development of Oromotor Skills? An Insight from Childhood to Adulthood.

alternating motion rate tasks articulatory execution development diadochokinesis motor planning sequential motion rate tasks syllabic rate

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
13 Apr 2023
Historique:
received: 26 03 2023
revised: 10 04 2023
accepted: 12 04 2023
medline: 16 5 2023
pubmed: 16 5 2023
entrez: 16 5 2023
Statut: epublish

Résumé

Oral diadochokinetic (DDK) tasks are common research and clinical tools used to test oromotor skills across different age groups. They include alternating motion rate (AMR) and sequential motion rate (SMR) tasks. AMR tasks involve repeating a single syllable, whereas SMR tasks involve repeating varying syllables. DDK performance is mostly discussed regarding the increasing rates of AMR and SMR tasks from childhood to adulthood, although less attention is given to the performance differences between SMR and AMR tasks across age groups. Here, AMR and SMR syllabic rates were contrasted in three populations: 7-9-year-old children, 14-16-year-old adolescents and 20-30-year-old adults. The results revealed similar syllabic rates for the two DDK tasks in children, whereas adolescents and adults achieved faster SMR rates. Acoustic analyses showed similarities in prosodic features between AMR and SMR sequences and in anticipatory coarticulation in the SMR sequences in all age groups. However, a lower degree of coarticulation was observed in children relative to adults. Adolescents, on the contrary, showed an adult-like pattern. These findings suggest that SMR tasks may be more sensitive to age-related changes in oromotor skills than AMR tasks and that greater gestural overlap across varying syllables may be a factor in achieving higher rates in SMR tasks.

Identifiants

pubmed: 37190620
pii: brainsci13040655
doi: 10.3390/brainsci13040655
pmc: PMC10136882
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Swiss National Science Foundation
ID : 51NF40_180888, CRSII5202228
Pays : Switzerland

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Auteurs

Mónica Lancheros (M)

Faculty of Psychology and Educational Science, University of Geneva, 1205 Geneva, Switzerland.

Daniel Friedrichs (D)

Department of Computational Linguistics, University of Zurich, 8006 Zurich, Switzerland.

Marina Laganaro (M)

Faculty of Psychology and Educational Science, University of Geneva, 1205 Geneva, Switzerland.

Classifications MeSH