title: Altered topological organization of brain structural network in Chinese children with developmental dyslexia.
abstract: Increasing evidence indicates that developmental dyslexia (DD) is a "disconnection syndrome", and new probes of connectome were applied to investigate the "disconnection" in DD. However, there is a lack of brain connectome studies of Chinese dyslexics, who may have a different neural impairment pattern due to the logographic nature of Chinese. The aim of this study was to investigate the topological organization characteristics of the DD brain using a structural network based analysis on the volumetric covariance, which is a method with the advantage of reflecting brain developmental changes. Twenty-five children diagnosed with DD and twenty-five typically developing controls were included. The structural networks based on the pair-wise correlation of gray matter volume from 90 brain regions were constructed for the two groups and compared. Compared to controls, the structural network of dyslexic children exhibited significantly increased local efficiency combined with a tendency of decreased global efficiency and prolonged characteristic path length, thus reflecting a more locally specialized topological organization. Two brain areas showed significantly altered local regional network properties: the left precentral gyrus with increased bi, and the right Heschl's gyrus with decreased bi and ki. Moreover, a series of hub regions (especially the right fronto-temporal regions) identified in the network of typically developing children were not presented in the brain of DD. To our knowledge, this is the first whole-brain structural network study on Chinese dyslexics. This study provides evidence of brain topological organization changes in Chinese children with DD, and thus may help shed light on its neurobiological basis.
authors.affiliation: Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Research Center for Medical Image Computing, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Department of Biomedical Engineering and Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
authors.forename: Kai
authors.initials: K
authors.lastname: Liu
authors.affiliation: Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Chow Yuk Ho Technology Center for Innovative Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong China. Electronic address: shilin@cuhk.edu.hk.
authors.forename: Lin
authors.initials: L
authors.lastname: Shi
authors.affiliation: Bio-x Laboratory, Physics Department, Zhejiang University, Hangzhou, Zhejiang Province, China.
authors.forename: Feiyan
authors.initials: F
authors.lastname: Chen
authors.affiliation: School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
authors.forename: Mary M Y
authors.initials: MM
authors.lastname: Waye
authors.affiliation: Division of Endocrinology and Diabetes, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
authors.forename: Cadmon K P
authors.initials: CK
authors.lastname: Lim
authors.affiliation: Department of Educational Psychology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
authors.forename: Pui-Wan
authors.initials: PW
authors.lastname: Cheng
authors.affiliation: Department of Educational Psychology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
authors.forename: Sarah S H
authors.initials: SS
authors.lastname: Luk
authors.affiliation: Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Chow Yuk Ho Technology Center for Innovative Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong China.
authors.forename: Vincent C T
authors.initials: VC
authors.lastname: Mok
authors.affiliation: Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Research Center for Medical Image Computing, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
authors.forename: Winnie C W
authors.initials: WC
authors.lastname: Chu
authors.affiliation: Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Research Center for Medical Image Computing, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Department of Biomedical Engineering and Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Guangdong Province, China. Electronic address: dfwang@cuhk.edu.hk.
authors.forename: Defeng
authors.initials: D
authors.lastname: Wang
mesh_terms: D001921:Brain / Q000473:pathology*; D016022:Case-Control Studies; D002648:Child; D004410:Dyslexia / Q000473:pathology*; D005260:Female; D066128:Gray Matter / Q000473:pathology; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male
keywords: Brain volume; Developmental dyslexia; Magnetic resonance imaging; Structural network; Topological analysis