White matter network connectivity deficits in developmental dyslexia

Chenglin Lou, Xiting Duan, Irene Altarelli, John A. Sweeney, Franck Ramus, Jingjing Zhao

Research output: Contribution to journalArticle

Abstract

A number of studies have shown an abnormal connectivity of certain white matter pathways in developmental dyslexia, as well as correlations between these white matter pathways and behavioral deficits. However, whether developmental dyslexia presents broader white matter network connectivity disruption is currently unknown. The present study reconstructed white matter networks for 26 dyslexic children (11.61 ± 1.31 years) and 31 age-matched controls (11.49 ± 1.36 years) using constrained spherical deconvolution tractography. Network-based statistics (NBS) analysis was performed to identify network connectivity deficits in dyslexic individuals. Network topological features were measured based on graph theory to examine whether these parameters correlate with literacy skills, and whether they explain additional variance over previously established white matter connectivity abnormalities in dyslexic children. The NBS analysis identified a network connecting the left-occipital-temporal cortex and temporo-parietal cortex that had decreased streamlines in dyslexic children. Four network topological parameters (clustering coefficient, local efficiency, transitivity, and global efficiency) were positively correlated with literacy skills of dyslexic children, and explained a substantial proportion of additional variance in literacy skills beyond connectivity measures of white matter pathways. This study for the first time reports a disconnection in a local subnetwork in the left hemisphere in dyslexia and shows that the global white matter network topological properties contribute to reduced literacy skills in dyslexic children.

Original languageEnglish (US)
JournalHuman Brain Mapping
DOIs
StateAccepted/In press - Jan 1 2018

Fingerprint

Dyslexia
Occipital Lobe
Parietal Lobe
Temporal Lobe
White Matter
Cluster Analysis
Literacy

Keywords

  • dyslexia
  • graph theory
  • literacy
  • NBS
  • white matter network

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

Cite this

Lou, C., Duan, X., Altarelli, I., Sweeney, J. A., Ramus, F., & Zhao, J. (Accepted/In press). White matter network connectivity deficits in developmental dyslexia. Human Brain Mapping. https://doi.org/10.1002/hbm.24390

White matter network connectivity deficits in developmental dyslexia. / Lou, Chenglin; Duan, Xiting; Altarelli, Irene; Sweeney, John A.; Ramus, Franck; Zhao, Jingjing.

In: Human Brain Mapping, 01.01.2018.

Research output: Contribution to journalArticle

Lou, Chenglin ; Duan, Xiting ; Altarelli, Irene ; Sweeney, John A. ; Ramus, Franck ; Zhao, Jingjing. / White matter network connectivity deficits in developmental dyslexia. In: Human Brain Mapping. 2018.
@article{929d843ff4b543a688f799974c2fa76e,
title = "White matter network connectivity deficits in developmental dyslexia",
abstract = "A number of studies have shown an abnormal connectivity of certain white matter pathways in developmental dyslexia, as well as correlations between these white matter pathways and behavioral deficits. However, whether developmental dyslexia presents broader white matter network connectivity disruption is currently unknown. The present study reconstructed white matter networks for 26 dyslexic children (11.61 ± 1.31 years) and 31 age-matched controls (11.49 ± 1.36 years) using constrained spherical deconvolution tractography. Network-based statistics (NBS) analysis was performed to identify network connectivity deficits in dyslexic individuals. Network topological features were measured based on graph theory to examine whether these parameters correlate with literacy skills, and whether they explain additional variance over previously established white matter connectivity abnormalities in dyslexic children. The NBS analysis identified a network connecting the left-occipital-temporal cortex and temporo-parietal cortex that had decreased streamlines in dyslexic children. Four network topological parameters (clustering coefficient, local efficiency, transitivity, and global efficiency) were positively correlated with literacy skills of dyslexic children, and explained a substantial proportion of additional variance in literacy skills beyond connectivity measures of white matter pathways. This study for the first time reports a disconnection in a local subnetwork in the left hemisphere in dyslexia and shows that the global white matter network topological properties contribute to reduced literacy skills in dyslexic children.",
keywords = "dyslexia, graph theory, literacy, NBS, white matter network",
author = "Chenglin Lou and Xiting Duan and Irene Altarelli and Sweeney, {John A.} and Franck Ramus and Jingjing Zhao",
year = "2018",
month = "1",
day = "1",
doi = "10.1002/hbm.24390",
language = "English (US)",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",

}

TY - JOUR

T1 - White matter network connectivity deficits in developmental dyslexia

AU - Lou, Chenglin

AU - Duan, Xiting

AU - Altarelli, Irene

AU - Sweeney, John A.

AU - Ramus, Franck

AU - Zhao, Jingjing

PY - 2018/1/1

Y1 - 2018/1/1

N2 - A number of studies have shown an abnormal connectivity of certain white matter pathways in developmental dyslexia, as well as correlations between these white matter pathways and behavioral deficits. However, whether developmental dyslexia presents broader white matter network connectivity disruption is currently unknown. The present study reconstructed white matter networks for 26 dyslexic children (11.61 ± 1.31 years) and 31 age-matched controls (11.49 ± 1.36 years) using constrained spherical deconvolution tractography. Network-based statistics (NBS) analysis was performed to identify network connectivity deficits in dyslexic individuals. Network topological features were measured based on graph theory to examine whether these parameters correlate with literacy skills, and whether they explain additional variance over previously established white matter connectivity abnormalities in dyslexic children. The NBS analysis identified a network connecting the left-occipital-temporal cortex and temporo-parietal cortex that had decreased streamlines in dyslexic children. Four network topological parameters (clustering coefficient, local efficiency, transitivity, and global efficiency) were positively correlated with literacy skills of dyslexic children, and explained a substantial proportion of additional variance in literacy skills beyond connectivity measures of white matter pathways. This study for the first time reports a disconnection in a local subnetwork in the left hemisphere in dyslexia and shows that the global white matter network topological properties contribute to reduced literacy skills in dyslexic children.

AB - A number of studies have shown an abnormal connectivity of certain white matter pathways in developmental dyslexia, as well as correlations between these white matter pathways and behavioral deficits. However, whether developmental dyslexia presents broader white matter network connectivity disruption is currently unknown. The present study reconstructed white matter networks for 26 dyslexic children (11.61 ± 1.31 years) and 31 age-matched controls (11.49 ± 1.36 years) using constrained spherical deconvolution tractography. Network-based statistics (NBS) analysis was performed to identify network connectivity deficits in dyslexic individuals. Network topological features were measured based on graph theory to examine whether these parameters correlate with literacy skills, and whether they explain additional variance over previously established white matter connectivity abnormalities in dyslexic children. The NBS analysis identified a network connecting the left-occipital-temporal cortex and temporo-parietal cortex that had decreased streamlines in dyslexic children. Four network topological parameters (clustering coefficient, local efficiency, transitivity, and global efficiency) were positively correlated with literacy skills of dyslexic children, and explained a substantial proportion of additional variance in literacy skills beyond connectivity measures of white matter pathways. This study for the first time reports a disconnection in a local subnetwork in the left hemisphere in dyslexia and shows that the global white matter network topological properties contribute to reduced literacy skills in dyslexic children.

KW - dyslexia

KW - graph theory

KW - literacy

KW - NBS

KW - white matter network

UR - http://www.scopus.com/inward/record.url?scp=85053798156&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053798156&partnerID=8YFLogxK

U2 - 10.1002/hbm.24390

DO - 10.1002/hbm.24390

M3 - Article

C2 - 30251768

AN - SCOPUS:85053798156

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

ER -