Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.dib.2021.107665
Title: Source data from a systematic review and meta-analysis of EEG and MEG studies investigating functional connectivity in idiopathic generalized epilepsy
Authors: Dharan, Anita L.
Bowden, Stephen C.
Lai, Alan
Peterson, Andre D. H.
Cheung, Mike W-L 
Woldman, Wessel
D'Souza, Wendyl J.
Keywords: Functional connectivity
Generalized epilepsy
Meta-analysis
Network analysis
Issue Date: 1-Dec-2021
Publisher: Elsevier Inc.
Citation: Dharan, Anita L., Bowden, Stephen C., Lai, Alan, Peterson, Andre D. H., Cheung, Mike W-L, Woldman, Wessel, D'Souza, Wendyl J. (2021-12-01). Source data from a systematic review and meta-analysis of EEG and MEG studies investigating functional connectivity in idiopathic generalized epilepsy. Data in Brief 39 : 107665. ScholarBank@NUS Repository. https://doi.org/10.1016/j.dib.2021.107665
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: This article describes source data from a systematic review and meta-analysis of electroencephalography (EEG) and magnetoencephalography (MEG) studies investigating functional connectivity in idiopathic generalized epilepsy. Data selection, analysis and reporting was performed according to PRISMA guidelines. Eligible studies for review were identified from human case-control, and cohort studies. Twenty-two studies were included in the review. Extracted descriptive data included sample characteristics, acquisition of EEG or MEG recordings and network construction. Reported differences between IGE and control groups in functional connectivity or network metrics were extracted as the main outcome measure. Qualitative group differences in functional connectivity were synthesized through narrative review. Meta-analysis was performed for group-level, quantitative estimates of common network metrics clustering coefficient, path length, mean degree and nodal strength. Six studies were included in the meta-analysis. Risk of bias was assessed across all studies. Raw and synthesized data for included studies are reported, alongside effect size and heterogeneity statistics from meta-analyses. Network neurosciences is a rapidly expanding area of research, with significant potential for clinical applications in epilepsy. This data article provides novel, statistical estimates of brain network differences from patients with IGE relative to healthy controls, across the existing literature. Increasing data accessibility supports study replication and improves study comparability for future reviews, enabling a better understanding of network characteristics in IGE. © 2021
Source Title: Data in Brief
URI: https://scholarbank.nus.edu.sg/handle/10635/231894
ISSN: 2352-3409
DOI: 10.1016/j.dib.2021.107665
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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