Auditory Category Learning in Children With Dyslexia.
Purpose: Developmental dyslexia is proposed to involve selective procedural memory deficits with intact declarative memory. Recent research in the domain of category learning has demonstrated that adults with dyslexia have selective deficits in Information--Integration (II) category learning that is...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 67; no. 3; pp. 974 - 989 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Mar2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=176083736&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 176083736 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Mar2024 vid: 67 iid: 3 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 176083736 10.1044/2023_JSLHR-23-00361 ppf: 974 ppct: 15 formats: fmt: @attributes: type: P size: 1.8MB tig: atl: Auditory Category Learning in Children With Dyslexia. aug: au: Roark, Casey L. Thakkar, Vishal Chandrasekaran, Bharath Centanni, Tracy M. affil: Department of Communication Science and Disorders, University of Pittsburgh, PA Center for the Neural Basis of Cognition, University of Pittsburgh, Carnegie Mellon University, PA University of New Hampshire. Vishal Thakkar is now at University of Texas Southwestern Medical Center Department of Psychology, Texas Christian University, Fort Worth Northwestern University University of Florida su: Developmental psychology Auditory perception Data analysis T-test (Statistics) Descriptive statistics Phonological alexia Statistics Learning strategies Speech perception Machine learning sug: subj: Developmental psychology Auditory perception Data analysis T-test (Statistics) Descriptive statistics Phonological alexia Statistics Learning strategies Speech perception Machine learning ab: Purpose: Developmental dyslexia is proposed to involve selective procedural memory deficits with intact declarative memory. Recent research in the domain of category learning has demonstrated that adults with dyslexia have selective deficits in Information--Integration (II) category learning that is proposed to rely on procedural learning mechanisms and unaffected Rule-Based (RB) category learning that is proposed to rely on declarative, hypothesis testing mechanisms. Importantly, learning mechanisms also change across development, with distinct developmental trajectories in both procedural and declarative learning mechanisms. It is unclear how dyslexia in childhood should influence auditory category learning, a critical skill for speech perception and reading development. Method: We examined auditory category learning performance and strategies in 7- to 12-year-old children with dyslexia (n = 25; nine females, 16 males) and typically developing controls (n = 25; 13 females, 12 males). Participants learned nonspeech auditory categories of spectrotemporal ripples that could be optimally learned with either RB selective attention to the temporal modulation dimension or procedural integration of information across spectral and temporal dimensions. We statistically compared performance using mixed-model analyses of variance and identified strategies using decision-bound computational models. Results: We found that children with dyslexia have an apparent selective RB category learning deficit, rather than a selective II learning deficit observed in prior work in adults with dyslexia. Conclusion: These results suggest that the important skill of auditory category learning is impacted in children with dyslexia and throughout development, individuals with dyslexia may develop compensatory strategies that preserve declarative learning while developing difficulties in procedural learning. Supplemental Material: https://doi.org/10.23641/asha.25148519 pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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