@article{03e1316a2c534cc5beadf952878e292c,
title = "Resting‐State EEG Functional Connectivity in Children with Rolandic Spikes with or without Clinical Seizures",
abstract = "Alterations in dynamic brain network function are increasingly recognized in epilepsy. Benign childhood epilepsy with centrotemporal spikes (BECTS), or benign rolandic seizures, is the most common idiopathic focal epilepsy in children. In this study, we analyzed EEG functional connectivity (FC) among children with rolandic spikes with or without clinical seizures as compared to controls, to investigate the relationship between FC and clinical parameters in children with rolandic spikes. The FC analysis based on graph theory and network‐based statistics in different frequency bands evaluated global efficiency, clustering coefficient, betweenness centrality, and nodal strength in four frequency bands. Similar to BECTS patients with seizures, children with rolandic spikes without seizures had significantly increased global efficiency, mean clustering coefficient, mean nodal strength, and connectivity strength, specifically in the theta frequency band at almost all proportional thresholds, compared with age‐matched controls. Decreased mean betweenness centrality was only present in BECTS patients with seizures. Age at seizure onset was significantly positively associated with the strength of EEG‐FC. The decreased function of betweenness centrality was only presented in BECTS patients with clinical seizures, suggesting weaker local connectivity may lower the seizure threshold. These findings may affect treatment policy in children with rolandic spikes.",
keywords = "benign childhood epilepsy, centrotemporal spikes, children, EEG functional connectivity, focal epilepsy, graph theory, rolandic spikes",
author = "Tsai, {Min Lan} and Wang, {Chuang Chin} and Lee, {Feng Chin} and Peng, {Syu Jyun} and His Chang and Tseng, {Sung Hui}",
note = "Funding Information: Funding: This work was financially supported in part by the Ministry of Science and Technology, Taiwan, under the project MOST 110‐2221‐E‐038‐008, in part by the Higher Education Sprout Project by the Ministry of Education (MOE), Taiwan, and subproject 2 of the Integrated Pediatric Brain Tumor Research Project of Taipei Medical University Hospital (105TMU‐TMUH‐01‐02 and 106TMU‐TMUH‐01‐02). Funding Information: This work was financially supported in part by the Ministry of Science and Technology, Taiwan, under the project MOST 110‐2221‐E‐038‐008, in part by the Higher Education Sprout Project by the Ministry of Education (MOE), Taiwan, and subproject 2 of the Integrated Pediatric Brain Tumor Research Project of Taipei Medical University Hospital (105TMU‐TMUH‐01‐02 and 106TMU‐TMUH‐01‐02). The authors thank Ms. Yi‐Hsin Yeh, and Yi‐Ling Ho at the EEG laboratory of Taipei Medical University Hospital, Taipei, Taiwan, for their technical support. The authors thank Andy Y. Wang for his assistance. Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2022",
month = jul,
doi = "10.3390/biomedicines10071553",
language = "English",
volume = "10",
journal = "Biomedicines",
issn = "2227-9059",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "7",
}