Literature DB >> 21383107

Neurocognitive predictors of reading outcomes for children with reading disabilities.

Jan C Frijters1, Maureen W Lovett, Karen A Steinbach, Maryanne Wolf, Rose A Sevcik, Robin D Morris.   

Abstract

This study reports on several specific neurocognitive process predictors of reading outcomes for a sample of 278 children with reading disabilities. Three categories of response (i.e., poor, average, and good) were formed via growth curve models of six reading outcomes. Two nested discriminant function analyses were conducted to evaluate the predictive capability of the following models: (a) an intervention and phonological processing model that included intervention group, phonological awareness, and rapid naming and (b) an additive cognitive neuropsychological model that included measures of memory, visual processes, and cognitive or intellectual functioning. Over and above the substantial explanatory power of the base model, the additive model improved classification of poor and good responders. Several of the cognitive and neuropsychological variables predicted degree of reading outcomes, even after controlling for type of intervention, phonological awareness, and rapid naming.

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Mesh:

Year:  2011        PMID: 21383107     DOI: 10.1177/0022219410391185

Source DB:  PubMed          Journal:  J Learn Disabil        ISSN: 0022-2194


  9 in total

1.  The neural correlates of reading fluency deficits in children.

Authors:  Nicolas Langer; Christopher Benjamin; Jennifer Minas; Nadine Gaab
Journal:  Cereb Cortex       Date:  2013-12-11       Impact factor: 5.357

Review 2.  Learning and cognitive disorders: multidiscipline treatment approaches.

Authors:  Anil Chacko; Jodi Uderman; Nicole Feirsen; Anne-Claude Bedard; David Marks
Journal:  Child Adolesc Psychiatr Clin N Am       Date:  2013-05-17

3.  Development of Rapid Automatized Naming (RAN) in Simultaneous Kannada-English Biliterate Children.

Authors:  Anand Siddaiah; Marita Saldanha; Shyamala K Venkatesh; Nallur B Ramachandra; Prakash Padakannaya
Journal:  J Psycholinguist Res       Date:  2014-11-19

4.  Early intervention for children at risk for reading disabilities: The impact of grade at intervention and individual differences on intervention outcomes.

Authors:  Maureen W Lovett; Jan C Frijters; Maryanne Wolf; Karen A Steinbach; Rose A Sevcik; Robin D Morris
Journal:  J Educ Psychol       Date:  2017-03-23

5.  How you read affects what you gain: Individual differences in the functional organization of the reading system predict intervention gains in children with reading disabilities.

Authors:  Noam Siegelman; Jay G Rueckl; Mark van den Bunt; Jan C Frijters; Jason D Zevin; Maureen W Lovett; Mark S Seidenberg; Kenneth R Pugh; Robin D Morris
Journal:  J Educ Psychol       Date:  2021-09-23

6.  Predicting responsiveness to a sustained reading and spelling intervention in children with dyslexia.

Authors:  Elisabeth A T Tilanus; Eliane Segers; Ludo Verhoeven
Journal:  Dyslexia       Date:  2019-04-23

7.  Readiness or Impairment: Cognitive and Linguistic Differences Between Children Who Learn to Read and Those Who Exhibit Difficulties With Reading in Kindergarten Compared to Their Achievements at the End of First Grade.

Authors:  Ariel Ne'eman; Shelley Shaul
Journal:  Front Psychol       Date:  2021-02-25

8.  Identifying Dyslexia: Link between Maze Learning and Dyslexia Susceptibility Gene, DCDC2, in Young Children.

Authors:  Lisa A Gabel; Kelsey Voss; Evelyn Johnson; Esther R Lindström; Dongnhu T Truong; Erin M Murray; Karla Cariño; Christiana M Nielsen; Steven Paniagua; Jeffrey R Gruen
Journal:  Dev Neurosci       Date:  2021-06-29       Impact factor: 3.421

Review 9.  Towards a South African model of language-based learning disability.

Authors:  Xoli Mazibuko; Penelope Flack; Jane Kvalsvig
Journal:  S Afr J Commun Disord       Date:  2019-11-22
  9 in total

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