16. Functional connectivity in fronto-temporal focal epilepsy from EEG analysis: A study via graph theory

2015 ◽  
Vol 126 (1) ◽  
pp. e4-e5
Author(s):  
F. Vecchio ◽  
F. Miraglia ◽  
G. Curcio ◽  
G. Della Marca ◽  
C. Vollono ◽  
...  
2016 ◽  
Vol 127 (3) ◽  
pp. e47
Author(s):  
F. Miraglia ◽  
F. Vecchio ◽  
G. Curcio ◽  
G. Della Marca ◽  
C. Vollono ◽  
...  

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

Author(s):  
Christoffer Hatlestad-Hall ◽  
Ricardo Bruña ◽  
Marte Roa Syvertsen ◽  
Aksel Erichsen ◽  
Vebjørn Andersson ◽  
...  

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 204-217
Author(s):  
Ahmed Hossam Mohammed ◽  
Mercedes Cabrerizo ◽  
Ulyana Morar ◽  
Hoda Rajaei ◽  
Alberto Pinzon ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yasuo Nakai ◽  
Hiroki Nishibayashi ◽  
Tomohiro Donishi ◽  
Masaki Terada ◽  
Naoyuki Nakao ◽  
...  

AbstractWe explored regional functional connectivity alterations in intractable focal epilepsy brains using resting-state functional MRI. Distributions of the network parameters (corresponding to degree and eigenvector centrality) measured at each brain region for all 25 patients were significantly different from age- and sex-matched control data that were estimated by a healthy control dataset (n = 582, 18–84 years old). The number of abnormal regions whose parameters exceeded the mean + 2 SD of age- and sex-matched data for each patient were associated with various clinical parameters such as the duration of illness and seizure severity. Furthermore, abnormal regions for each patient tended to have functional connections with each other (mean ± SD = 58.6 ± 20.2%), the magnitude of which was negatively related to the quality of life. The abnormal regions distributed within the default mode network with significantly higher probability (p < 0.05) in 7 of 25 patients. We consider that the detection of abnormal regions by functional connectivity analysis using a large number of control datasets is useful for the numerical assessment of each patient’s clinical conditions, although further study is necessary to elucidate etiology-specific abnormalities.


Cortex ◽  
2020 ◽  
Vol 126 ◽  
pp. 63-72 ◽  
Author(s):  
Thaïra J.C. Openneer ◽  
Jan-Bernard C. Marsman ◽  
Dennis van der Meer ◽  
Natalie J. Forde ◽  
Sophie E.A. Akkermans ◽  
...  

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.


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