scholarly journals cccccSource-level EEG and graph theory reveal widespread functional network alterations in focal epilepsy

Author(s):  
Christoffer Hatlestad-Hall ◽  
Ricardo Bruña ◽  
Marte Roa Syvertsen ◽  
Aksel Erichsen ◽  
Vebjørn Andersson ◽  
...  
2016 ◽  
Vol 127 (3) ◽  
pp. e47
Author(s):  
F. Miraglia ◽  
F. Vecchio ◽  
G. Curcio ◽  
G. Della Marca ◽  
C. Vollono ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Jiaxin Hao ◽  
Wenyi Luo ◽  
Yuhai Xie ◽  
Yu Feng ◽  
Wei Sun ◽  
...  

Background and PurposeTranscranial direct current stimulation (tDCS) is an emerging non-invasive neuromodulation technique for focal epilepsy. Because epilepsy is a disease affecting the brain network, our study was aimed to evaluate and predict the treatment outcome of cathodal tDCS (ctDCS) by analyzing the ctDCS-induced functional network alterations.MethodsEither the active 5-day, −1.0 mA, 20-min ctDCS or sham ctDCS targeting at the most active interictal epileptiform discharge regions was applied to 27 subjects suffering from focal epilepsy. The functional networks before and after ctDCS were compared employing graph theoretical analysis based on the functional magnetic resonance imaging (fMRI) data. A support vector machine (SVM) prediction model was built to predict the treatment outcome of ctDCS using the graph theoretical measures as markers.ResultsOur results revealed that the mean clustering coefficient and the global efficiency decreased significantly, as well as the characteristic path length and the mean shortest path length at the stimulation sites in the fMRI functional networks increased significantly after ctDCS only for the patients with response to the active ctDCS (at least 20% reduction rate of seizure frequency). Our prediction model achieved the mean prediction accuracy of 68.3% (mean sensitivity: 70.0%; mean specificity: 67.5%) after the nested cross validation. The mean area under the receiver operating curve was 0.75, which showed good prediction performance.ConclusionThe study demonstrated that the response to ctDCS was related to the topological alterations in the functional networks of epilepsy patients detected by fMRI. The graph theoretical measures were promising for clinical prediction of ctDCS treatment outcome.


2015 ◽  
Vol 126 (1) ◽  
pp. e4-e5
Author(s):  
F. Vecchio ◽  
F. Miraglia ◽  
G. Curcio ◽  
G. Della Marca ◽  
C. Vollono ◽  
...  

2015 ◽  
Vol 8 ◽  
pp. 536-542 ◽  
Author(s):  
Mangor Pedersen ◽  
Amir H. Omidvarnia ◽  
Jennifer M. Walz ◽  
Graeme D. Jackson

2015 ◽  
Vol 126 (6) ◽  
pp. 1108-1116 ◽  
Author(s):  
Fabrizio Vecchio ◽  
Francesca Miraglia ◽  
Giuseppe Curcio ◽  
Giacomo Della Marca ◽  
Catello Vollono ◽  
...  

2022 ◽  
Vol 15 ◽  
Author(s):  
Wenzhuo Cui ◽  
Shanshan Wang ◽  
Boyu Chen ◽  
Guoguang Fan

Functional magnetic resonance imaging (fMRI) studies have suggested that there is a functional reorganization of brain areas in patients with sensorineural hearing loss (SNHL). Recently, graph theory analysis has brought a new understanding of the functional connectome and topological features in central neural system diseases. However, little is known about the functional network topology changes in SNHL patients, especially in infants. In this study, 34 infants with profound bilateral congenital SNHL and 28 infants with normal hearing aged 11–36 months were recruited. No difference was found in small-world parameters and network efficiency parameters. Differences in global and nodal topologic organization, hub distribution, and whole-brain functional connectivity were explored using graph theory analysis. Both normal-hearing infants and SNHL infants exhibited small-world topology. Furthermore, the SNHL group showed a decreased nodal degree in the bilateral thalamus. Six hubs in the SNHL group and seven hubs in the normal-hearing group were identified. The left middle temporal gyrus was a hub only in the SNHL group, while the right parahippocampal gyrus and bilateral temporal pole were hubs only in the normal-hearing group. Functional connectivity between auditory regions and motor regions, between auditory regions and default-mode-network (DMN) regions, and within DMN regions was found to be decreased in the SNHL group. These results indicate a functional reorganization of brain functional networks as a result of hearing loss. This study provides evidence that functional reorganization occurs in the early stage of life in infants with profound bilateral congenital SNHL from the perspective of complex networks.


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