Prosodic Patterns in Interaction of Low-Risk and at-Risk-of-Autism Spectrum Disorders Infants and Their Mothers at 12 and 18 Months

Quigley, Jean; Mcnally, Sean; Lawson, Sarah K.

doi:10.1080/15475441.2015.1075405

Cited by 33 publications

(28 citation statements)

References 69 publications

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“…Intensity Mean was available for eight studies (105 ASD and 97 comparison participants), one with significantly lower intensity for ASD and the others with null findings [Filipe et al, ; Grossman et al, ; Quigley et al ; Scharfstein, Beidel, Sims, & Finnell, ].…”

Section: Resultsmentioning

confidence: 99%

“Is voice a marker for Autism spectrum disorder? A systematic review and meta‐analysis”

et al. 2016

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Lay Abstract: Individuals with Autism Spectrum Disorder (ASD) are reported to speak in distinctive ways. Distinctive vocal production should be better understood as it can affect social interactions and social development and could represent a noninvasive marker for ASD. We systematically review the existing scientific literature reporting quantitative acoustic analysis of vocal production in ASD and identify repeated and consistent findings of higher pitch mean and variability but not of other differences in acoustic features. We also identify a recent approach relying on multiple aspects of vocal production and machine learning algorithms to automatically identify ASD from voice only. This latter approach is very promising,

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Section: Resultsmentioning

confidence: 99%

“Is voice a marker for Autism spectrum disorder? A systematic review and meta‐analysis”

et al. 2016

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“…Identifying the nature of infant cues is particularly challenging in the case of infants at risk for dyslexia. Unlike other populations in which infant factors may influence parental communicative behaviors (e.g., infants with autism spectrum disorder or Down syndrome; Quigley, McNally, & Lawson, ; Venuti, Falco, Esposito, Zaninelli, & Bornstein, ), there are no visible signs that signal that a child is at risk for or has dyslexia. In fact, there is approximately a 50% chance that infants who are at risk for dyslexia by virtue of having a dyslexic parent will not develop dyslexia later in childhood (Galaburda, LoTurco, Ramus, Fitch, & Rosen, ).…”

Section: Discussionmentioning

confidence: 96%

Infant‐directed speech to infants at risk for dyslexia: A novel cross‐dyad design

Kalashnikova

Goswami

Burnham

2020

Infancy

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When mothers speak to infants at risk for developmental dyslexia, they do not hyperarticulate vowels in their infant‐directed speech (IDS). Here, we used an innovative cross‐dyad design to investigate whether the absence of vowel hyperarticulation in IDS to at‐risk infants is a product of maternal infant‐directed behavior or of infants’ parent‐directed cues. Interactions between mothers and infants who were at risk or not at risk for dyslexia were recorded in three conditions: when mothers interacted with (a) their own infants, (b) infants who were not their own but of the same risk status, and (c) infants who were not their own and of the opposite risk status. This design revealed both infant and parent effects. Mothers of not‐at‐risk infants hyperarticulated vowels significantly more when speaking to not‐at‐risk than to at‐risk infants. In contrast, mothers of at‐risk infants hyperarticulated vowels significantly less than NAR mothers, and this was irrespective of infant status. Mothers of not‐at‐risk infants thus adjusted their IDS to the infant's risk status, while mothers of at‐risk infants did not. We suggest that IDS is determined reciprocally by characteristics of both partners in the dyad: Both infant and maternal factors are essential for the vowel hyperarticulation component of IDS.

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“…The next step for this research is to analyse the children's behaviour and vocalisations in the interaction. Previous studies have indicated that child behaviour within interactions influences IDS (Schwab & Lew-Williams, 2016), and studies of infant-mother acoustic alignment (Quigley, McNally, & Lawson, 2016;Seidl et al, 2018) have revealed interesting patterns. Thus, individual differences in the F0 variability of IDS may be explained by how children respond to and elicit IDS events.…”

Section: Constantmentioning

confidence: 99%

Exploring the association of infant receptive language and pitch variability in fathers’ infant-directed speech

2019

Self Cite

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The objective of this study was to examine the links between prosodic features of paternal Infant-Directed Speech (IDS) and child characteristics. Pitch variability measures were extracted from the speech samples of 50 fathers during unstructured play with their two-year-old children. Evidence for a link between child receptive language ability (measured by the Bayley Scales of Infant Development III) and fathers’ pitch variability was obtained from Multiple Hierarchical Regression. Findings support the hypothesis that fathers tailor their speech to their children. This is one of the few studies to examine the relationship between fathers’ IDS and child language ability.

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Prosodic Patterns in Interaction of Low-Risk and at-Risk-of-Autism Spectrum Disorders Infants and Their Mothers at 12 and 18 Months

Cited by 33 publications

References 69 publications

“Is voice a marker for Autism spectrum disorder? A systematic review and meta‐analysis”

“Is voice a marker for Autism spectrum disorder? A systematic review and meta‐analysis”

Infant‐directed speech to infants at risk for dyslexia: A novel cross‐dyad design

Exploring the association of infant receptive language and pitch variability in fathers’ infant-directed speech

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