scholarly journals Altered functional connectivity in newly diagnosed benign epilepsy with unilateral or bilateral centrotemporal spikes: A multi-frequency MEG study

2021 ◽  
Vol 124 ◽  
pp. 108276
Author(s):  
Pengfei Wang ◽  
Yihan Li ◽  
Yulei Sun ◽  
Jingtao Sun ◽  
Kai Niu ◽  
...  
2019 ◽  
Vol 15 (2) ◽  
pp. 211
Author(s):  
Hyun-Soo Choi ◽  
Yoon Gi Chung ◽  
Sun Ah Choi ◽  
Soyeon Ahn ◽  
Hunmin Kim ◽  
...  

2015 ◽  
Vol 25 (06) ◽  
pp. 1550027 ◽  
Author(s):  
Cheng Luo ◽  
Yaodan Zhang ◽  
Weifang Cao ◽  
Yue Huang ◽  
Fei Yang ◽  
...  

Benign epilepsy with centrotemporal spikes (BECT) is the most common form of childhood idiopathic focal epilepsy syndrome. We investigated quantitative evidence regarding brain morphology and functional connectivity features to provide insight into the neuroanatomical foundation of this disorder, using high resolution T1-weighted magnetic resonance imaging (MRI) and resting state functional MRI in 21 patients with BECT and in 20 healthy children. The functional connectivity analysis, seeded at the regions with altered gray-matter (GM) volume in voxel-based morphometry (VBM) analysis, was further performed. Then, the observed structural and functional alteration were investigated for their association with the clinical and behavior manifestations. The increased GM volume in the striatum and fronto-temporo-parietal cortex (striato-cortical circuit) was observed in BECT. The decreased connections were found among the motor network and frontostriatal loop, and between the default mode network (DMN) and language regions. Additionally, the GM of striatum was negatively correlated with age at epilepsy onset. The current observations may contribute to the understanding of the altered structural and functional feature of striato-cortical circuit in patients with BECT. The findings also implied alterations of the motor network and DMN, which were associated with the epileptic activity in patients with BECT. This further suggested that the onset of BECT might have enduring structural and functional effects on brain maturation.


2018 ◽  
Vol 13 (4) ◽  
pp. 985-994 ◽  
Author(s):  
Rong Li ◽  
Liangcheng Wang ◽  
Heng Chen ◽  
Xiaonan Guo ◽  
Wei Liao ◽  
...  

2007 ◽  
Vol 29 (5) ◽  
pp. 281-284 ◽  
Author(s):  
Giangennaro Coppola ◽  
Emilio Franzoni ◽  
Alberto Verrotti ◽  
Caterina Garone ◽  
Jasenka Sarajlija ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Cong Fu ◽  
Aikedan Aisikaer ◽  
Zhijuan Chen ◽  
Qing Yu ◽  
Jianzhong Yin ◽  
...  

The stark discrepancy in the prognosis of epilepsy is closely related to brain damage features and underlying mechanisms, which have not yet been unraveled. In this study, differences in the epileptic brain functional connectivity states were explored through a network-based connectivity analysis between intractable mesial temporal lobe epilepsy (MTLE) patients and benign epilepsy with centrotemporal spikes (BECT). Resting state fMRI imaging data were collected for 14 MTLE patients, 12 BECT patients and 16 healthy controls (HCs). Independent component analysis (ICA) was performed to identify the cortical functional networks. Subcortical nuclei of interest were extracted from the Harvard-Oxford probability atlas. Network-based statistics were used to detect functional connectivity (FC) alterations across intranetworks and internetworks, including the connectivity between cortical networks and subcortical nuclei. Compared with HCs, MTLE patients showed significant lower activity between the connectivity of cortical networks and subcortical nuclei (especially hippocampus) and lower internetwork FC involving the lateral temporal lobe; BECT patients showed normal cortical-subcortical FC with hyperconnectivity between cortical networks. Together, cortical-subcortical hypoconnectivity in MTLE suggested a low efficiency and collaborative network pattern, and this might be relevant to the final decompensatory state and the intractable prognosis. Conversely, cortical-subcortical region with normal connectivity remained well in global cooperativity, and compensatory internetwork hyperconnectivity caused by widespread cortical abnormal discharge, which might account for the self-limited clinical outcome in BECT. Based on the fMRI functional network study, different brain network patterns might provide a better explanation of mechanisms in different types of epilepsy.


2017 ◽  
Vol 27 (07) ◽  
pp. 1750018 ◽  
Author(s):  
Rong Li ◽  
Gong-Jun Ji ◽  
Yangyang Yu ◽  
Yang Yu ◽  
Mei-Ping Ding ◽  
...  

Benign epilepsy with centrotemporal spikes (BECTS) is a common childhood epilepsy syndrome associated with abnormalities in neurocognitive domains, particularly during interictal epileptiform discharges (IEDs). Here, we investigated the effects of IEDs on brain’s intrinsic connectivity networks in 43 BECTS patients and 28 matched healthy controls (HCs). Patients were further divided into IED and non-IED subgroups based on simultaneous EEG-fMRI recordings. Functional connectivity within and between five networks, corresponding to seizure origination and cognitive processes, were analyzed to measure IED effects. We found that patients exhibited increased connectivity within the auditory network (AN) and the somato-motor network (SMN), and decreased connectivity within the basal ganglia network and the dorsal attention network, suggesting that both transient and chronic seizure activity may disturb normal network organization. The IED group showed decreased functional connectivity within the default mode network (DMN) compared with the non-IED group and HCs, implying that the DMN was selectively impaired during epileptiform discharges associated with altered self-referential cognitive functions. Moreover, the IED group exhibited increased positive correlations between the AN and the SMN, which suggests a possible excessive influence of centrotemporal spiking on information processing in the auditory system. The association between epileptic activity and network dysfunctions highlights their importance in investigating the pathological mechanism underlying BECTS.


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