Literature DB >> 19423082

Neurophysiology in preschool improves behavioral prediction of reading ability throughout primary school.

Urs Maurer1, Kerstin Bucher, Silvia Brem, Rosmarie Benz, Felicitas Kranz, Enrico Schulz, Sanne van der Mark, Hans-Christoph Steinhausen, Daniel Brandeis.   

Abstract

BACKGROUND: More struggling readers could profit from additional help at the beginning of reading acquisition if dyslexia prediction were more successful. Currently, prediction is based only on behavioral assessment of early phonological processing deficits associated with dyslexia, but it might be improved by adding brain-based measures.
METHODS: In a 5-year longitudinal study of children with (n = 21) and without (n = 23) familial risk for dyslexia, we tested whether neurophysiological measures of automatic phoneme and tone deviance processing obtained in kindergarten would improve prediction of reading over behavioral measures alone.
RESULTS: Together, neurophysiological and behavioral measures obtained in kindergarten significantly predicted reading in school. Particularly the late mismatch negativity measure that indicated hemispheric lateralization of automatic phoneme processing improved prediction of reading ability over behavioral measures. It was also the only significant predictor for long-term reading success in fifth grade. Importantly, this result also held for the subgroup of children at familial risk.
CONCLUSIONS: The results demonstrate that brain-based measures of processing deficits associated with dyslexia improve prediction of reading and thus may be further evaluated to complement clinical practice of dyslexia prediction, especially in targeted populations, such as children with a familial risk.

Entities:  

Mesh:

Year:  2009        PMID: 19423082     DOI: 10.1016/j.biopsych.2009.02.031

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  37 in total

1.  Functional characteristics of developmental dyslexia in left-hemispheric posterior brain regions predate reading onset.

Authors:  Nora Maria Raschle; Jennifer Zuk; Nadine Gaab
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

2.  Neural specialization of phonological and semantic processing in young children.

Authors:  Yael Weiss; Hannah G Cweigenberg; James R Booth
Journal:  Hum Brain Mapp       Date:  2018-06-28       Impact factor: 5.038

Review 3.  Prediction as a humanitarian and pragmatic contribution from human cognitive neuroscience.

Authors:  John D E Gabrieli; Satrajit S Ghosh; Susan Whitfield-Gabrieli
Journal:  Neuron       Date:  2015-01-07       Impact factor: 17.173

4.  Neural initialization of audiovisual integration in prereaders at varying risk for developmental dyslexia.

Authors:  Iliana I Karipidis; Georgette Pleisch; Martina Röthlisberger; Christoph Hofstetter; Dario Dornbierer; Philipp Stämpfli; Silvia Brem
Journal:  Hum Brain Mapp       Date:  2016-10-14       Impact factor: 5.038

Review 5.  Understanding event-related potentials (ERPs) in clinical and basic language and communication disorders research: a tutorial.

Authors:  Sean McWeeny; Elizabeth S Norton
Journal:  Int J Lang Commun Disord       Date:  2020-04-29       Impact factor: 3.020

6.  Cortical Responses to Chinese Phonemes in Preschoolers Predict Their Literacy Skills at School Age.

Authors:  Tian Hong; Lan Shuai; Stephen J Frost; Nicole Landi; Kenneth R Pugh; Hua Shu
Journal:  Dev Neuropsychol       Date:  2018-03-09       Impact factor: 2.253

7.  Neural systems predicting long-term outcome in dyslexia.

Authors:  Fumiko Hoeft; Bruce D McCandliss; Jessica M Black; Alexander Gantman; Nahal Zakerani; Charles Hulme; Heikki Lyytinen; Susan Whitfield-Gabrieli; Gary H Glover; Allan L Reiss; John D E Gabrieli
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-20       Impact factor: 11.205

8.  Effects of socioeconomic status on brain development, and how cognitive neuroscience may contribute to levelling the playing field.

Authors:  Rajeev D S Raizada; Mark M Kishiyama
Journal:  Front Hum Neurosci       Date:  2010-02-05       Impact factor: 3.169

9.  Altered neuronal response during rapid auditory processing and its relation to phonological processing in prereading children at familial risk for dyslexia.

Authors:  Nora M Raschle; Patrice L Stering; Sarah N Meissner; Nadine Gaab
Journal:  Cereb Cortex       Date:  2013-04-18       Impact factor: 5.357

10.  Topological properties of large-scale structural brain networks in children with familial risk for reading difficulties.

Authors:  S M Hadi Hosseini; Jessica M Black; Teresa Soriano; Nicolle Bugescu; Rociel Martinez; Mira M Raman; Shelli R Kesler; Fumiko Hoeft
Journal:  Neuroimage       Date:  2013-01-17       Impact factor: 6.556

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