Emerging roles of network analysis for epilepsy
In recent years there has been increasing interest in applying network science tools to EEG
data. At the 2018 American Epilepsy Society conference in New Orleans, LA, the yearly …
data. At the 2018 American Epilepsy Society conference in New Orleans, LA, the yearly …
Source-sink connectivity: A novel interictal EEG marker for seizure localization
Over 15 million epilepsy patients worldwide have drug-resistant epilepsy. Successful
surgery is a standard of care treatment but can only be achieved through complete resection …
surgery is a standard of care treatment but can only be achieved through complete resection …
A spatial perturbation framework to validate implantation of the epileptogenic zone
Stereo-electroencephalography (SEEG) is the gold standard to delineate surgical targets in
focal drug-resistant epilepsy. SEEG uses electrodes placed directly into the brain to identify …
focal drug-resistant epilepsy. SEEG uses electrodes placed directly into the brain to identify …
[HTML][HTML] Informed MEG/EEG source imaging reveals the locations of interictal spikes missed by SEEG
Determining the accurate locations of interictal spikes has been fundamental in the
presurgical evaluation of epilepsy surgery. Stereo-electroencephalography (SEEG) is able …
presurgical evaluation of epilepsy surgery. Stereo-electroencephalography (SEEG) is able …
The role of magnetoencephalography in preoperative localization and postoperative outcome prediction in patients with posterior cortical epilepsy
G Hao, H Yan, X Wang, R Gao, Y Xue… - CNS Neuroscience …, 2024 - Wiley Online Library
Objective We aimed to explore the value of magnetoencephalography in the presurgical
evaluation of patients with posterior cortex epilepsy. Methods A total of 39 patients with …
evaluation of patients with posterior cortex epilepsy. Methods A total of 39 patients with …
Design of virtual BCI channels based on informer
H Sun, C Li, H Zhang - Frontiers in Human Neuroscience, 2023 - frontiersin.org
The precision and reliability of electroencephalogram (EEG) data are essential for the
effective functioning of a brain-computer interface (BCI). As the number of BCI acquisition …
effective functioning of a brain-computer interface (BCI). As the number of BCI acquisition …
On the robustness of EEG tensor completion methods
During the acquisition of electroencephalographic (EEG) signals, data may be missing or
corrupted by noise and artifacts. To reconstruct the incomplete data, EEG signals are firstly …
corrupted by noise and artifacts. To reconstruct the incomplete data, EEG signals are firstly …