Level of Attention to Motherese Speech as an Early Marker of Autism Spectrum Disorder.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 02 2023
Historique:
entrez: 8 2 2023
pubmed: 9 2 2023
medline: 11 2 2023
Statut: epublish

Résumé

Caregivers have long captured the attention of their infants by speaking in motherese, a playful speech style characterized by heightened affect. Reduced attention to motherese in toddlers with autism spectrum disorder (ASD) may be a contributor to downstream language and social challenges and could be diagnostically revealing. To investigate whether attention toward motherese speech can be used as a diagnostic classifier of ASD and is associated with language and social ability. This diagnostic study included toddlers aged 12 to 48 months, spanning ASD and non-ASD diagnostic groups, at a research center. Data were collected from February 2018 to April 2021 and analyzed from April 2021 to March 2022. Gaze-contingent eye-tracking test. Using gaze-contingent eye tracking wherein the location of a toddler's fixation triggered a specific movie file, toddlers participated in 1 or more 1-minute eye-tracking tests designed to quantify attention to motherese speech, including motherese vs traffic (ie, noisy vehicles on a highway) and motherese vs techno (ie, abstract shapes with music). Toddlers were also diagnostically and psychometrically evaluated by psychologists. Levels of fixation within motherese and nonmotherese movies and mean number of saccades per second were calculated. Receiver operating characteristic (ROC) curves were used to evaluate optimal fixation cutoff values and associated sensitivity, specificity, positive predictive value (PPV), and negative predictive value. Within the ASD group, toddlers were stratified based on low, middle, or high levels of interest in motherese speech, and associations with social and language abilities were examined. A total of 653 toddlers were included (mean [SD] age, 26.45 [8.37] months; 480 males [73.51%]). Unlike toddlers without ASD, who almost uniformly attended to motherese speech with a median level of 82.25% and 80.75% across the 2 tests, among toddlers with ASD, there was a wide range, spanning 0% to 100%. Both the traffic and techno paradigms were effective diagnostic classifiers, with large between-group effect sizes (eg, ASD vs typical development: Cohen d, 1.0 in the techno paradigm). Across both paradigms, a cutoff value of 30% or less fixation on motherese resulted in an area under the ROC curve (AUC) of 0.733 (95% CI, 0.693-0.773) and 0.761 (95% CI, 0.717-0.804), respectively; specificity of 98% (95% CI, 95%-99%) and 96% (95% CI, 92%-98%), respectively; and PPV of 94% (95% CI, 86%-98%). Reflective of heterogeneity and expected subtypes in ASD, sensitivity was lower at 18% (95% CI, 14%-22%) and 29% (95% CI, 24%-34%), respectively. Combining metrics increased the AUC to 0.841 (95% CI, 0.805-0.877). Toddlers with ASD who showed the lowest levels of attention to motherese speech had weaker social and language abilities. In this diagnostic study, a subset of toddlers showed low levels of attention toward motherese speech. When a cutoff level of 30% or less fixation on motherese speech was used, toddlers in this range were diagnostically classified as having ASD with high accuracy. Insight into which toddlers show unusually low levels of attention to motherese may be beneficial not only for early ASD diagnosis and prognosis but also as a possible therapeutic target.

Identifiants

pubmed: 36753277
pii: 2801102
doi: 10.1001/jamanetworkopen.2022.55125
pmc: PMC9909502
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2255125

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH118879
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH080134
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01 DC016385
Pays : United States

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Auteurs

Karen Pierce (K)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

Teresa H Wen (TH)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

Javad Zahiri (J)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

Charlene Andreason (C)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

Eric Courchesne (E)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

Cynthia C Barnes (CC)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

Linda Lopez (L)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

Steven J Arias (SJ)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

Ahtziry Esquivel (A)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

Amanda Cheng (A)

Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla.

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