Pseudoword spelling ability predicts response to word spelling treatment in acquired dysgraphia.


Journal

Neuropsychological rehabilitation
ISSN: 1464-0694
Titre abrégé: Neuropsychol Rehabil
Pays: England
ID NLM: 9112672

Informations de publication

Date de publication:
Mar 2022
Historique:
pubmed: 14 10 2020
medline: 6 4 2022
entrez: 13 10 2020
Statut: ppublish

Résumé

Although rehabilitation of acquired dysgraphia can be quite effective, identifying predictors of responsiveness to treatment is useful for prognosis and individualization of treatment protocols. This study examined whether various features of treatment response were predicted by the integrity of one or more of the central cognitive components of spelling: orthographic long-term memory, orthographic working memory, and phoneme-grapheme conversion. Twenty dysgraphic individuals received 12 weeks of bi-weekly, individualized, lexically-based spelling rehabilitation using a spell-study-spell paradigm. Linear multiple regression modelling examined whether the type and severity of the dysgraphic deficit, assessed before rehabilitation, predicted the magnitude and rate of improvement, generalization to untrained items and maintenance of treatment gains. The results revealed that pseudoword spelling accuracy - indexing the integrity of the phoneme-grapheme conversion system - was the only factor examined that significantly predicted the rate of accuracy gains for trained words as well as the extent of generalization to untrained words. Pre-treatment pseudoword spelling accuracy also predicted retention of gains for trained and untrained words at 3-month follow-up. These findings reveal that the integrity of the phoneme-grapheme conversion system prior to dysgraphia rehabilitation may play a key role in rehabilitation-driven recovery, even when the treatment approach targets lexical rather than pseudoword spelling processes.

Identifiants

pubmed: 33047661
doi: 10.1080/09602011.2020.1813596
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

231-267

Auteurs

Jennifer Shea (J)

Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA.

Robert Wiley (R)

Department of Psychology, University of North Carolina Greensboro, Greensboro, NC, USA.

Natalie Moss (N)

Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA.

Brenda Rapp (B)

Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA.

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Classifications MeSH