Altered White-Matter Functional Network in Children with Idiopathic Generalized Epilepsy

被引:3
|
作者
Ran, Haifeng [1 ]
Chen, Guiqin [1 ]
Ran, Chunyan [1 ]
He, Yulun [1 ]
Xie, Yuxin [1 ]
Yu, Qiane [1 ]
Liu, Junwei [1 ]
Hu, Jie [1 ,2 ]
Zhang, Tijiang [1 ]
机构
[1] Zunyi Med Univ, Affiliated Hosp, Med Imaging Ctr Guizhou Prov, Dept Radiol, Zunyi 563003, Peoples R China
[2] Capital Med Univ, Xuanwu Hosp, Dept Radiol & Nucl Med, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Idiopathic generalized epilepsy; Children; White matter; Functional network; CONNECTIVITY; ABNORMALITIES; IMPAIRMENT; PATHWAYS; SYSTEM; LEVEL;
D O I
10.1016/j.acra.2023.12.043
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Rationale and Objectives: The white matter (WM) functional network changes offers insights into the potential pathological mechanisms of certain diseases, the alterations of WM functional network in idiopathic generalized epilepsy (IGE) remain unclear. We aimed to explore the topological characteristics changes of WM functional network in childhood IGE using resting-state functional Magnetic resonance imaging (MRI) and T 1-weighted images. Methods: A total of 84 children (42 IGE and 42 matched healthy controls) were included in this study. Functional and structural MRI data were acquired to construct a WM functional network. Group differences in the global and regional topological characteristics were assessed by graph theory and the correlations with clinical and neuropsychological scores were analyzed. A support vector machine algorithm model was employed to classify individuals with IGE using WM functional connectivity as features, and the model's accuracy was evaluated using leave-one-out cross-validation. Results: In IGE group, at the network level, the WM functional network exhibited increased assortativity; at the nodal level, 17 nodes presented nodal disturbances in WM functional network, and nodal disturbances of 11 nodes were correlated with cognitive performance scores, disease duration and age of onset. The classification model achieved the 72.6% accuracy, 0.746 area under the curve, 69.1% sensitivity, 76.2% specificity. Conclusion: Our study demonstrated that the WM functional network topological properties changes in childhood IGE, which were associated with cognitive function, and WM functional network may help clinical classification for childhood IGE. These findings provide novel information for understanding the pathogenesis of IGE and suggest that the WM function network might be qualified as potential biomarkers. (c) 2024 The Association of University Radiologists. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:2930 / 2941
页数:12
相关论文
共 50 条
  • [31] Attention networks in children with idiopathic generalized epilepsy
    Tian, Yanghua
    Dong, Bin
    Ma, Ji
    Zhou, Shanshan
    Zhou, Nong
    Wang, Kai
    EPILEPSY & BEHAVIOR, 2010, 19 (03) : 513 - 517
  • [32] Sleep architecture in children with idiopathic generalized epilepsy
    Maganti, R
    Sheth, TD
    Hermann, TP
    Weber, T
    Gidal, TE
    Fine, T
    EPILEPSIA, 2005, 46 (01) : 104 - 109
  • [33] Altered white-matter architecture in treatment-naive adolescents with clinical depression
    Aghajani, M.
    Veer, I. M.
    van Lang, N. D. J.
    Meens, P. H. F.
    van den Bulk, B. G.
    Rombouts, S. A. R. B.
    Vermeiren, R. R. J. M.
    van der Wee, N. J.
    PSYCHOLOGICAL MEDICINE, 2014, 44 (11) : 2287 - 2298
  • [34] Dysfunctional white-matter networks in medicated and unmedicated benign epilepsy with centrotemporal spikes
    Jiang, Yuchao
    Song, Li
    Li, Xuan
    Zhang, Yaodan
    Chen, Yan
    Jiang, Sisi
    Hou, Changyue
    Yao, Dezhong
    Wang, Xiaoming
    Luo, Cheng
    HUMAN BRAIN MAPPING, 2019, 40 (10) : 3113 - 3124
  • [35] EEG functional connectivity of the intrahemispheric cortico-cortical network of idiopathic generalized epilepsy
    Clemens, B.
    Puskas, S.
    Bessenyei, M.
    Emri, M.
    Spisak, T.
    Koselak, M.
    Hollody, K.
    Fogarasi, A.
    Kondakor, I.
    Fuele, K.
    Bense, K.
    Fekete, I.
    EPILEPSY RESEARCH, 2011, 96 (1-2) : 11 - 23
  • [36] Functional Network Connectivity Patterns between Idiopathic Generalized Epilepsy with Myoclonic and Absence Seizures
    Li, Qifu
    Chen, Yongmin
    Wei, Yong
    Chen, Shengmei
    Ma, Lin
    He, Zhiyi
    Chen, Zhibin
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2017, 11
  • [37] Altered intersubject functional variability of brain white-matter in major depressive disorder and its association with gene expression profiles
    Gai, Qun
    Chu, Tongpeng
    Li, Qinghe
    Guo, Yuting
    Ma, Heng
    Shi, Yinghong
    Che, Kaili
    Zhao, Feng
    Dong, Fanghui
    Li, Yuna
    Xie, Haizhu
    Mao, Ning
    HUMAN BRAIN MAPPING, 2024, 45 (05)
  • [38] Altered functional-structural coupling of large-scale brain networks in idiopathic generalized epilepsy
    Zhang, Zhiqiang
    Liao, Wei
    Chen, Huafu
    Mantini, Dante
    Ding, Ju-Rong
    Xu, Qiang
    Wang, Zhengge
    Yuan, Cuiping
    Chen, Guanghui
    Jiao, Qing
    Lu, Guangming
    BRAIN, 2011, 134 : 2912 - 2928
  • [39] White-matter functional topology: a neuromarker for classification and prediction in unmedicated depression
    Jiao Li
    Heng Chen
    Feiyang Fan
    Jiang Qiu
    Lian Du
    Jinming Xiao
    Xujun Duan
    Huafu Chen
    Wei Liao
    Translational Psychiatry, 10
  • [40] Relations Between the Geometry of Cortical Gyrification and White-Matter Network Architecture
    Henderson, James A.
    Robinson, Peter A.
    BRAIN CONNECTIVITY, 2014, 4 (02) : 112 - 130