Literature DB >> 31955236

Correlation between diffusion tensor imaging measures and the reading and cognitive performance of Arabic readers: dyslexic children perspective.

Safaa El-Sady1, Shaimaa Abdelsattar Mohammad2, Khaled Aboualfotouh Ahmed2, Ahmed Nabil Khattab1, Neveen Hassan Nashaat3, Ghada Orabi4, Ehab Ragaa Abdelraouf4.   

Abstract

PURPOSE: To investigate the correlation between the diffusion tensor imaging (DTI) measures and the reading, spelling, writing, rapid naming, memory, and motor abilities in Arabic dyslexic children. This could verify the influence of possible white matter alterations on the abilities of those children.
METHODS: Twenty native Arabic-speaking children with dyslexia (15 males and 5 females; 8.2 years ± 1) underwent DTI of the brain on 1.5 T scanner. Diffusion-weighted images were acquired in 32 noncollinear direction. Tractography of the arcuate fasciculus (AF) was performed. Region of interest (ROI)-based approach was also used. Regions encompass superior longitudinal fasciculus (SLF), anterior and superior corona radiata (CR), and posterior limb of internal capsule (PLIC) were analyzed. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were measured. The aptitudes of those children were evaluated by the dyslexia assessment test. These abilities were statistically correlated with the FA and ADC of the AF and other ROIs.
RESULTS: The reduction of FA of right AF was related to worse overall reading and related abilities performance. The ADC of right SLF was negatively correlated with memory abilities. The ADC of right PLIC was positively correlated with writing performance. Other relations were also found.
CONCLUSION: White matter microstructural DTI measurements in the right AF, right PLIC, SLF, and left anterior and superior CR are correlated to reading, spelling, writing, memory, and rapid naming abilities of the participants. The DTI measures could be promising regarding their use as a biomarker for follow-up in developmental dyslexia.

Entities:  

Keywords:  Arcuate fasciculus; Corona radiata; DTI; Dyslexia; Spelling

Year:  2020        PMID: 31955236     DOI: 10.1007/s00234-020-02368-1

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  40 in total

1.  Perisylvian language networks of the human brain.

Authors:  Marco Catani; Derek K Jones; Dominic H ffytche
Journal:  Ann Neurol       Date:  2005-01       Impact factor: 10.422

Review 2.  Principles of diffusion tensor imaging and its applications to basic neuroscience research.

Authors:  Susumu Mori; Jiangyang Zhang
Journal:  Neuron       Date:  2006-09-07       Impact factor: 17.173

3.  Correlation of apparent diffusion coefficient and fractional anisotropy values in the developing infant brain.

Authors:  James M Provenzale; Jared Isaacson; Steven Chen; Sandra Stinnett; Chunlei Liu
Journal:  AJR Am J Roentgenol       Date:  2010-12       Impact factor: 3.959

4.  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

5.  Structural brain alterations associated with dyslexia predate reading onset.

Authors:  Nora Maria Raschle; Maria Chang; Nadine Gaab
Journal:  Neuroimage       Date:  2010-09-25       Impact factor: 6.556

6.  Diffusion tensor imaging of cingulum bundle and corpus callosum in schizophrenia vs. bipolar disorder.

Authors:  Igor Nenadić; Anna Hoof; Maren Dietzek; Kerstin Langbein; Jürgen R Reichenbach; Heinrich Sauer; Daniel Güllmar
Journal:  Psychiatry Res Neuroimaging       Date:  2017-05-25       Impact factor: 2.376

7.  Longitudinal study on diffusion tensor imaging and diffusion tensor tractography following spinal cord contusion injury in rats.

Authors:  Can Zhao; Jia-Sheng Rao; Xiao-Jiao Pei; Jian-Feng Lei; Zhan-Jing Wang; Zhao-Yang Yang; Xiao-Guang Li
Journal:  Neuroradiology       Date:  2016-03-01       Impact factor: 2.804

8.  White matter morphometric changes uniquely predict children's reading acquisition.

Authors:  Chelsea A Myers; Maaike Vandermosten; Emily A Farris; Roeland Hancock; Paul Gimenez; Jessica M Black; Brandi Casto; Miroslav Drahos; Mandeep Tumber; Robert L Hendren; Charles Hulme; Fumiko Hoeft
Journal:  Psychol Sci       Date:  2014-09-11

9.  White matter damage and cognitive impairment after traumatic brain injury.

Authors:  Kirsi Maria Kinnunen; Richard Greenwood; Jane Hilary Powell; Robert Leech; Peter Charlie Hawkins; Valerie Bonnelle; Maneesh Chandrakant Patel; Serena Jane Counsell; David James Sharp
Journal:  Brain       Date:  2010-12-29       Impact factor: 13.501

10.  A DTI tractography study in pre-readers at risk for dyslexia.

Authors:  Maaike Vandermosten; Jolijn Vanderauwera; Catherine Theys; Astrid De Vos; Sophie Vanvooren; Stefan Sunaert; Jan Wouters; Pol Ghesquière
Journal:  Dev Cogn Neurosci       Date:  2015-05-27       Impact factor: 6.464

View more
  1 in total

1.  Influence of assistive technology applications on dyslexic students: The case of Saudi Arabia during the COVID-19 pandemic.

Authors:  Amany Ahmed Al-Dokhny; Amani Mohammed Bukhamseen; Amr Mohammed Drwish
Journal:  Educ Inf Technol (Dordr)       Date:  2022-05-27
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.