2015
DOI: 10.1016/j.compbiomed.2014.10.018
|View full text |Cite
|
Sign up to set email alerts
|

Scalp EEG brain functional connectivity networks in pediatric epilepsy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

3
55
0
1

Year Published

2015
2015
2023
2023

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 60 publications
(59 citation statements)
references
References 53 publications
3
55
0
1
Order By: Relevance
“…In previous studies, decreased FC has often been reported in patients with different types of epilepsy, [26,32,33] suggesting that the epileptiform activity interrupts the functional interactions of the brain. Interestingly, more obvious FC was observed in the patients with BECTS than in the healthy controls.…”
Section: Discussionmentioning
confidence: 99%
“…In previous studies, decreased FC has often been reported in patients with different types of epilepsy, [26,32,33] suggesting that the epileptiform activity interrupts the functional interactions of the brain. Interestingly, more obvious FC was observed in the patients with BECTS than in the healthy controls.…”
Section: Discussionmentioning
confidence: 99%
“…A number of studies have looked into various metrics of connectivity among multiple brain regions from EEG/MEG [47], [104]–[112] and from fMRI [113]–[120]. In addition to Granger causality and DCM approaches, graph theoretic methods have also been used to study brain functional connectivity from ECoG [121] and EEG [122], [123]. …”
Section: Discussionmentioning
confidence: 99%
“…A precise localization of the epileptogenic focus in patients with neocortical epilepsy who underwent surgery has been possible using connectivity analysis of resting-state MEG data irrespective of the presence or absence of epileptic spikes (Krishnan et al 2015). Furthermore, functional connectivity networks have successfully been used to discriminate children with epilepsy from controls blindly to clinical data, with an accuracy of 88.8 %, a sensitivity of 81.8 %, and 100 % specificity (Sargolzaei et al 2015). Although more research is needed, it is promising that brain connectivity analysis can provide valuable information for an early diagnosis of epilepsy or for identification of the epileptogenic zone in patients without epileptiform discharges or without structural lesions.…”
Section: Functional Connectivity In the Clinical Diagnosis Of Epilepsymentioning
confidence: 99%