Literature DB >> 32356911

Multifactorial pathways facilitate resilience among kindergarteners at risk for dyslexia: A longitudinal behavioral and neuroimaging study.

Jennifer Zuk1,2,3, Jade Dunstan1, Elizabeth Norton4, Xi Yu1,2,5, Ola Ozernov-Palchik6, Yingying Wang7, Tiffany P Hogan3, John D E Gabrieli6, Nadine Gaab1,2,8.   

Abstract

Recent efforts have focused on screening methods to identify children at risk for dyslexia as early as preschool/kindergarten. Unfortunately, while low sensitivity leads to under-identification of at-risk children, low specificity can lead to over-identification, resulting in inaccurate allocation of limited educational resources. The present study focused on children identified as at-risk in kindergarten who do not subsequently develop poor reading skills to specify factors associated with better reading outcomes among at-risk children. Early screening was conducted in kindergarten and a subset of children was tracked longitudinally until second grade. Potential protective factors were evaluated at cognitive-linguistic, environmental, and neural levels. Relative to at-risk kindergarteners with subsequent poor reading, those with typical reading outcomes were characterized by significantly higher socioeconomic status (SES), speech production accuracy, and structural organization of the posterior right-hemispheric superior longitudinal fasciculus (SLF). A positive association between structural organization of the right SLF and subsequent decoding skills was found to be specific to at-risk children and not observed among typical controls. Among at-risk children, several kindergarten-age factors were found to significantly contribute to the prediction of subsequent decoding skills: white matter organization in the posterior right SLF, age, gender, SES, and phonological awareness. These findings suggest that putative compensatory mechanisms are already present by the start of kindergarten. The right SLF, in conjunction with the cognitive-linguistic and socioeconomic factors identified, may play an important role in facilitating reading development among at-risk children. This study has important implications for approaches to early screening, and assessment strategies for at-risk children.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  DTI; dyslexia; resilience; risk; screening; white matter

Mesh:

Year:  2020        PMID: 32356911      PMCID: PMC7606625          DOI: 10.1111/desc.12983

Source DB:  PubMed          Journal:  Dev Sci        ISSN: 1363-755X


  67 in total

1.  Reproducibility of quantitative tractography methods applied to cerebral white matter.

Authors:  Setsu Wakana; Arvind Caprihan; Martina M Panzenboeck; James H Fallon; Michele Perry; Randy L Gollub; Kegang Hua; Jiangyang Zhang; Hangyi Jiang; Prachi Dubey; Ari Blitz; Peter van Zijl; Susumu Mori
Journal:  Neuroimage       Date:  2007-03-20       Impact factor: 6.556

2.  Language development, literacy skills, and predictive connections to reading in Finnish children with and without familial risk for dyslexia.

Authors:  Minna Torppa; Paula Lyytinen; Jane Erskine; Kenneth Eklund; Heikki Lyytinen
Journal:  J Learn Disabil       Date:  2010-05-17

3.  Longitudinal stability of pre-reading skill profiles of kindergarten children: implications for early screening and theories of reading.

Authors:  Ola Ozernov-Palchik; Elizabeth S Norton; Georgios Sideridis; Sara D Beach; Maryanne Wolf; John D E Gabrieli; Nadine Gaab
Journal:  Dev Sci       Date:  2016-10-17

4.  Brain-behavior relationships in reading acquisition are modulated by socioeconomic factors.

Authors:  Kimberly G Noble; Michael E Wolmetz; Lisa G Ochs; Martha J Farah; Bruce D McCandliss
Journal:  Dev Sci       Date:  2006-11

5.  Very early language deficits in dyslexic children.

Authors:  H S Scarborough
Journal:  Child Dev       Date:  1990-12

Review 6.  A qualitative and quantitative review of diffusion tensor imaging studies in reading and dyslexia.

Authors:  Maaike Vandermosten; Bart Boets; Jan Wouters; Pol Ghesquière
Journal:  Neurosci Biobehav Rev       Date:  2012-04-17       Impact factor: 8.989

Review 7.  Tackling the 'dyslexia paradox': reading brain and behavior for early markers of developmental dyslexia.

Authors:  Ola Ozernov-Palchik; Nadine Gaab
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2016-02-02

8.  Tract profiles of white matter properties: automating fiber-tract quantification.

Authors:  Jason D Yeatman; Robert F Dougherty; Nathaniel J Myall; Brian A Wandell; Heidi M Feldman
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

9.  Putative protective neural mechanisms in prereaders with a family history of dyslexia who subsequently develop typical reading skills.

Authors:  Xi Yu; Jennifer Zuk; Meaghan V Perdue; Ola Ozernov-Palchik; Talia Raney; Sara D Beach; Elizabeth S Norton; Yangming Ou; John D E Gabrieli; Nadine Gaab
Journal:  Hum Brain Mapp       Date:  2020-03-13       Impact factor: 5.038

Review 10.  Neuroimaging of reading intervention: a systematic review and activation likelihood estimate meta-analysis.

Authors:  Laura A Barquero; Nicole Davis; Laurie E Cutting
Journal:  PLoS One       Date:  2014-01-10       Impact factor: 3.240

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  5 in total

1.  Random and Short-Term Excessive Eye Movement in Children with Autism During Face-to-Face Conversation.

Authors:  Zhong Zhao; Jiayi Xing; Xiaobin Zhang; Xingda Qu; Xinyao Hu; Jianping Lu
Journal:  J Autism Dev Disord       Date:  2021-08-28

Review 2.  Dyslexia as an adaptation to cortico-limbic stress system reactivity.

Authors:  John R Kershner
Journal:  Neurobiol Stress       Date:  2020-04-18

Review 3.  An Evolutionary Perspective of Dyslexia, Stress, and Brain Network Homeostasis.

Authors:  John R Kershner
Journal:  Front Hum Neurosci       Date:  2021-01-21       Impact factor: 3.169

Review 4.  How Learning to Read Changes the Listening Brain.

Authors:  Linda Romanovska; Milene Bonte
Journal:  Front Psychol       Date:  2021-12-20

5.  A large-scale investigation of white matter microstructural associations with reading ability.

Authors:  Steven L Meisler; John D E Gabrieli
Journal:  Neuroimage       Date:  2022-01-14       Impact factor: 6.556

  5 in total

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