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Advances in human intracranial electroencephalography research, guidelines and good practices
Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …
Personalised virtual brain models in epilepsy
Individuals with drug-resistant focal epilepsy are candidates for surgical treatment as a
curative option. Before surgery can take place, the patient must have a presurgical …
curative option. Before surgery can take place, the patient must have a presurgical …
Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy
Precise estimates of epileptogenic zone networks (EZNs) are crucial for planning
intervention strategies to treat drug-resistant focal epilepsy. Here, we present the virtual …
intervention strategies to treat drug-resistant focal epilepsy. Here, we present the virtual …
Electrophysiological brain connectivity: theory and implementation
We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …
tutorial is aimed at providing an introduction to brain functional connectivity from …
Changing concepts in presurgical assessment for epilepsy surgery
Candidates for epilepsy surgery must undergo presurgical evaluation to establish whether
and how surgical treatment can stop seizures without causing neurological deficits. Various …
and how surgical treatment can stop seizures without causing neurological deficits. Various …
Spatio-temporal-spectral hierarchical graph convolutional network with semisupervised active learning for patient-specific seizure prediction
Graph theory analysis using electroencephalogram (EEG) signals is currently an advanced
technique for seizure prediction. Recent deep learning approaches, which fail to fully …
technique for seizure prediction. Recent deep learning approaches, which fail to fully …
Stereoelectroencephalography: retrospective analysis of 742 procedures in a single centre
This retrospective description of a surgical series is aimed at reporting on indications,
methodology, results on seizures, outcome predictors and complications from a 20-year …
methodology, results on seizures, outcome predictors and complications from a 20-year …
The current place of epilepsy surgery
J Engel Jr - Current opinion in neurology, 2018 - journals.lww.com
Surgical treatment for epilepsy remains underutilized, in part because of persistent
misconceptions. Rather than promote referral for surgery, it would be more appropriate to …
misconceptions. Rather than promote referral for surgery, it would be more appropriate to …
High‐frequency oscillations are not better biomarkers of epileptogenic tissues than spikes
Objective High‐frequency oscillations (HFOs) in intracerebral EEG (
stereoelectroencephalography; SEEG) are considered as better biomarkers of epileptogenic …
stereoelectroencephalography; SEEG) are considered as better biomarkers of epileptogenic …
Interictal stereotactic-EEG functional connectivity in refractory focal epilepsies
Drug-refractory focal epilepsies are network diseases associated with functional connectivity
alterations both during ictal and interictal periods. A large majority of studies on the …
alterations both during ictal and interictal periods. A large majority of studies on the …