Resting-state functional connectivity in the idiopathic generalized epilepsies: A systematic review and meta-analysis of EEG and MEG studies

被引:12
作者
Dharan, Anita L. [1 ]
Bowden, Stephen C. [1 ,2 ]
Lai, Alan [3 ]
Peterson, Andre D. H. [3 ]
Cheung, Mike W. -L. [4 ]
Woldman, Wessel [5 ]
D'Souza, Wendyl J. [3 ]
机构
[1] Univ Melbourne, Melbourne Sch Psychol Sci, Parkville, Vic 3010, Australia
[2] St Vincents Hosp Melbourne, Dept Clin Neurosci, Fitzroy, Vic, Australia
[3] Univ Melbourne, St Vincents Hosp, Dept Med, Fitzroy, Vic, Australia
[4] Natl Univ Singapore, Dept Psychol, Singapore, Singapore
[5] Univ Birmingham, Ctr Syst Modelling & Quantitat Biomed, Edgware, Middx, England
关键词
Network analysis; Functional connectivity; Idiopathic generalized epilepsy; Meta-analysis; CHILDHOOD ABSENCE EPILEPSY; BRAIN NETWORKS; CLASSIFICATION; OSCILLATIONS;
D O I
10.1016/j.yebeh.2021.108336
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
For idiopathic generalized epilepsies (IGE), brain network analysis is emerging as a biomarker for poten-tial use in clinical care. To determine whether people with IGE show alterations in resting-state brain connectivity compared to healthy controls, and to quantify these differences, we conducted a systematic review and meta-analysis of EEG and magnetoencephalography (MEG) functional connectivity and net -work studies. The review was conducted according to PRISMA guidelines. Twenty-two studies were eli-gible for inclusion. Outcomes from individual studies supported hypotheses for interictal, resting-state brain connectivity alterations in IGE patients compared to healthy controls. In contrast, meta-analysis from six studies of common network metrics clustering coefficient, path length, mean degree and nodal strength showed no significant differences between IGE and control groups (effect sizes ranged from-0.151 -1.78). The null findings of the meta-analysis and the heterogeneity of the included studies high-lights the importance of developing standardized, validated methodologies for future research. Network neuroscience has significant potential as both a diagnostic and prognostic biomarker in epilepsy, though individual variability in network dynamics needs to be better understood and accounted for. (c) 2021 Elsevier Inc. All rights reserved.
引用
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页数:11
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