Literature DB >> 20570212

Clinical neurophysiology of visual and auditory processing in dyslexia: a review.

Gerd Schulte-Körne1, Jennifer Bruder.   

Abstract

Neurophysiological studies on children and adults with dyslexia provide a deeper understanding of how visual and auditory processing in dyslexia might relate to reading deficits. The goal of this review is to provide an overview of research findings in the last two decades on motion related and contrast sensitivity visual evoked potentials and on auditory event related potentials to basic tone and speech sound processing in dyslexia. These results are particularly relevant for three important theories about causality in dyslexia: the magnocellular deficit hypothesis, the temporal processing deficit hypothesis and the phonological deficit hypothesis. Support for magnocellular deficits in dyslexia are primarily provided from evidence for altered visual evoked potentials to rapidly moving stimuli presented at low contrasts. Consistently ERP findings revealed altered neurophysiological processes in individuals with dyslexia to speech stimuli, but evidence for deficits processing certain general acoustic information relevant for speech perception, such as frequency changes and temporal patterns, are also apparent.
Copyright © 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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Mesh:

Year:  2010        PMID: 20570212     DOI: 10.1016/j.clinph.2010.04.028

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  31 in total

1.  Implicit learning in children with spelling disability: evidence from artificial grammar learning.

Authors:  Elena Ise; Carolin J Arnoldi; Jürgen Bartling; Gerd Schulte-Körne
Journal:  J Neural Transm (Vienna)       Date:  2012-06-10       Impact factor: 3.575

2.  Timing continuous or discontinuous movements across effectors specified by different pacing modalities and intervals.

Authors:  H Lorås; H Sigmundsson; J B Talcott; F Öhberg; A K Stensdotter
Journal:  Exp Brain Res       Date:  2012-06-19       Impact factor: 1.972

Review 3.  The prevention, diagnosis, and treatment of dyslexia.

Authors:  Gerd Schulte-Körne
Journal:  Dtsch Arztebl Int       Date:  2010-10-15       Impact factor: 5.594

4.  Language Skills, but Not Frequency Discrimination, Predict Reading Skills in Children at Risk of Dyslexia.

Authors:  Margaret J Snowling; Debbie Gooch; Genevieve McArthur; Charles Hulme
Journal:  Psychol Sci       Date:  2018-05-23

Review 5.  Impairments of multisensory integration and cross-sensory learning as pathways to dyslexia.

Authors:  Noemi Hahn; John J Foxe; Sophie Molholm
Journal:  Neurosci Biobehav Rev       Date:  2014-09-29       Impact factor: 8.989

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.  The role of efferents in human auditory development: efferent inhibition predicts frequency discrimination in noise for children.

Authors:  Srikanta K Mishra
Journal:  J Neurophysiol       Date:  2020-05-20       Impact factor: 2.714

8.  Knockdown of Dyslexia-Gene Dcdc2 Interferes with Speech Sound Discrimination in Continuous Streams.

Authors:  Tracy Michelle Centanni; Anne B Booker; Fuyi Chen; Andrew M Sloan; Ryan S Carraway; Robert L Rennaker; Joseph J LoTurco; Michael P Kilgard
Journal:  J Neurosci       Date:  2016-04-27       Impact factor: 6.167

9.  Brain event-related potentials to phoneme contrasts and their correlation to reading skills in school-age children.

Authors:  Jarmo A Hämäläinen; Nicole Landi; Otto Loberg; Kaisa Lohvansuu; Kenneth Pugh; Paavo H T Leppänen
Journal:  Int J Behav Dev       Date:  2017-09-18

10.  FoxP2 is a parvocellular-specific transcription factor in the visual thalamus of monkeys and ferrets.

Authors:  Lena Iwai; Yohei Ohashi; Deborah van der List; William Martin Usrey; Yasushi Miyashita; Hiroshi Kawasaki
Journal:  Cereb Cortex       Date:  2012-07-12       Impact factor: 5.357

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