Literature DB >> 23727320

Print-specific multimodal brain activation in kindergarten improves prediction of reading skills in second grade.

Silvia Bach1, Ulla Richardson, Daniel Brandeis, Ernst Martin, Silvia Brem.   

Abstract

Children who are poor readers usually experience troublesome school careers and consequently often suffer from secondary emotional and behavioural problems. Early identification and prediction of later reading problems thus are critical in order to start targeted interventions for those children with an elevated risk for emerging reading problems. In this study, behavioural precursors of reading were assessed in nineteen (aged 6.4 ± 0.3 years) non-reading kindergarteners before training letter-speech sound associations with a computerized game (Graphogame) for eight weeks. The training aimed to introduce the basic principles of letter-speech sound correspondences and to initialize the sensitization of specific brain areas to print. Event-related potentials (ERP) and functional magnetic resonance imaging (fMRI) data were recorded during an explicit word/symbol processing task after the training. Reading skills were assessed two years later in second grade. The focus of this study was on clarifying whether electrophysiological and fMRI data of kindergarten children significantly improve prediction of future reading skills in 2nd grade over behavioural data alone. Based on evidence from previous studies demonstrating the importance of initial print sensitivity in the left occipito-temporal visual word form system (VWFS) for learning to read, the first pronounced difference in processing words compared to symbols in the ERP, an occipito-temporal negativity (N1: 188-281 ms) along with the corresponding functional activation in the left occipito-temporal VWFS were defined as potential predictors. ERP and fMRI data in kindergarteners significantly improved the prediction of reading skills in 2nd grade over behavioural data alone. Together with the behavioural measures they explained up to 88% of the variance. An additional discriminant analysis revealed a remarkably high accuracy in classifying normal (n=11) and poor readers (n=6). Due to the key limitation of the study, i.e. the small group sizes, the results of our prediction analyses should be interpreted with caution and regarded as preliminary despite cross-validation. Nevertheless our results indicate the potential of combining neuroimaging and behavioural measures to improve prediction at an early stage, when literacy skills are acquired and interventions are most beneficial.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Children; ERP; Prediction; Reading; fMRI

Mesh:

Year:  2013        PMID: 23727320     DOI: 10.1016/j.neuroimage.2013.05.062

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  36 in total

Review 1.  Structural abnormalities in the dyslexic brain: a meta-analysis of voxel-based morphometry studies.

Authors:  Fabio Richlan; Martin Kronbichler; Heinz Wimmer
Journal:  Hum Brain Mapp       Date:  2012-06-19       Impact factor: 5.038

Review 2.  A multisensory perspective on object memory.

Authors:  Pawel J Matusz; Mark T Wallace; Micah M Murray
Journal:  Neuropsychologia       Date:  2017-04-08       Impact factor: 3.139

3.  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

4.  Electrophysiological correlates of visual attention span in Chinese adults with poor reading fluency.

Authors:  Jiaxiao Li; Jing Zhao; Junxia Han; Hanlong Liu
Journal:  Exp Brain Res       Date:  2021-04-24       Impact factor: 1.972

5.  Socioeconomic Status and Reading Disability: Neuroanatomy and Plasticity in Response to Intervention.

Authors:  Rachel R Romeo; Joanna A Christodoulou; Kelly K Halverson; Jack Murtagh; Abigail B Cyr; Carly Schimmel; Patricia Chang; Pamela E Hook; John D E Gabrieli
Journal:  Cereb Cortex       Date:  2018-07-01       Impact factor: 5.357

Review 6.  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

7.  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

8.  Left cortical specialization for visual letter strings predicts rudimentary knowledge of letter-sound association in preschoolers.

Authors:  Aliette Lochy; Marie Van Reybroeck; Bruno Rossion
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-11       Impact factor: 11.205

9.  Integrating MRI brain imaging studies of pre-reading children with current theories of developmental dyslexia: A review and quantitative meta-analysis.

Authors:  Maaike Vandermosten; Fumiko Hoeft; Elizabeth S Norton
Journal:  Curr Opin Behav Sci       Date:  2016-08

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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