The association of structural connectome efficiency with cognition in children with epilepsy

被引:3
作者
Woodfield, Julie [1 ,2 ,3 ,8 ]
Chin, Richard F. M. [1 ,3 ,4 ]
van Schooneveld, Monique M. J. [5 ]
van den Heuvel, Martijn [6 ]
Bastin, Mark E. [1 ]
Braun, Kees P. J. [7 ]
机构
[1] Univ Edinburgh, Ctr Clin Brain Sci, Edinburgh, Scotland
[2] NHS Lothian, Dept Clin Neurosci, Edinburgh, Scotland
[3] Univ Edinburgh, Muir Maxwell Epilepsy Ctr, Edinburgh, Scotland
[4] NHS Lothian, Royal Hosp Children & Young People, Edinburgh, Scotland
[5] Wilhelmina Childrens Hosp, Dept Paediat Neuropsychol, Utrecht, Netherlands
[6] Vrije Univ Amsterdam, Ctr Neurogenom & Cognit Res, Amsterdam, Netherlands
[7] Univ Med Ctr Utrecht, Dept Paediat Neurol, Utrecht, Netherlands
[8] Dept Clin Neurosci, Neurosurg, 50 Little France Crescent, Edinburgh EH16 4TJ, Scotland
基金
英国惠康基金;
关键词
Connectome; Network; Graph theory; Epilepsy; Intellectual disability; SURFACE-BASED ANALYSIS; NETWORK EFFICIENCY; INTELLIGENCE; SEGMENTATION; SURGERY; LIFE;
D O I
10.1016/j.yebeh.2023.109462
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Objective: Cognitive impairment is common in children with epilepsy (CWE), but understanding the underlying pathological processes is challenging. We aimed to investigate the association of structural brain network organisation with cognition.Methods: This was a retrospective cohort study of CWE without structural brain abnormalities, comparing whole brain network characteristics between those with cognitive impairment and those with intact cognition. We created structural whole-brain connectomes from anatomical and diffusion tensor magnetic resonance imaging using the number of streamlines and tract-averaged fractional anisotropy. We assessed the differences in average path length and global network efficiency between children with cognitive impairment and those without, using multivariable analyses to account for possible clinical group differences.Results: Twenty-eight CWE and cognitive impairment had lower whole brain network global efficiency compared with 34 children with intact cognition (0.54, standard deviation (SD):0.003 vs. 0.56, SD:0.002, p < 0.001), which is equivalent to longer normalized network average path lengths (1.14, SD:0.05 vs. 1.10, SD:0.02, p = 0.003). In multivariable logistic regression cognitive impairment was not significantly associated with age of onset, duration of epilepsy, or number of antiseizure medications, but was independently associated with daily seizures (p = 0.04) and normalized average path length (p = 0.007).Conclusions: Higher structural network average path length and lower global network efficiency may be imaging biomarkers of cognitive impairment in epilepsy. Understanding what leads to changes in structural connectivity could aid identification of modifiable risk factors for cognitive impairment. These findings are only applicable to the specific cohort studied, and further confirmation in other cohorts is required.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页数:8
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