Literature DB >> 14625456

Altered responses to tone and phoneme mismatch in kindergartners at familial dyslexia risk.

Urs Maurer1, Kerstin Bucher, Silvia Brem, Daniel Brandeis.   

Abstract

Differences in automatic auditory processing between kindergartners with (n = 31) and without (n = 29) familial dyslexia risk were investigated using frequency and phoneme mismatch negativity (MMN) paradigms with small deviance and short intervals. During an early mismatch response segment children at risk tended to have more mid-frontal positivity than controls, especially to phoneme deviance. Significant group differences were found in the late MMN segment, where the mismatch response of children at risk was attenuated to frequency deviance and less left lateralised to phoneme deviance. This indicates deviant automatic processing of phoneme and simple tone deviance in children at risk. These differences might be just related to the dyslexia risk or more specifically to future reading difficulties and thus be useful for early recognition of dyslexia.

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Year:  2003        PMID: 14625456     DOI: 10.1097/00001756-200312020-00022

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  35 in total

1.  Individual Differences in Adult Reading Are Associated with Left Temporo-parietal to Dorsal Striatal Functional Connectivity.

Authors:  Sanjay Achal; Fumiko Hoeft; Signe Bray
Journal:  Cereb Cortex       Date:  2015-09-22       Impact factor: 5.357

2.  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

3.  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

4.  Differences in phonetic discrimination stem from differences in psychoacoustic abilities in learning the sounds of a second language: Evidence from ERP research.

Authors:  Yi Lin; Ruolin Fan; Lei Mo
Journal:  PLoS One       Date:  2017-11-27       Impact factor: 3.240

Review 5.  Oral language deficits in familial dyslexia: A meta-analysis and review.

Authors:  Margaret J Snowling; Monica Melby-Lervåg
Journal:  Psychol Bull       Date:  2016-01-04       Impact factor: 17.737

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.  Maternal history of reading difficulty is associated with reduced language-related gray matter in beginning readers.

Authors:  Jessica M Black; Hiroko Tanaka; Leanne Stanley; Masanori Nagamine; Nahal Zakerani; Alexandra Thurston; Shelli Kesler; Charles Hulme; Heikki Lyytinen; Gary H Glover; Christine Serrone; Mira M Raman; Allan L Reiss; Fumiko Hoeft
Journal:  Neuroimage       Date:  2011-10-17       Impact factor: 6.556

8.  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

9.  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

10.  Development of Tract-Specific White Matter Pathways During Early Reading Development in At-Risk Children and Typical Controls.

Authors:  Yingying Wang; Meaghan V Mauer; Talia Raney; Barbara Peysakhovich; Bryce L C Becker; Danielle D Sliva; Nadine Gaab
Journal:  Cereb Cortex       Date:  2017-04-01       Impact factor: 5.357

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