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
M Zijlmans, W Zweiphenning, N van Klink - Nature Reviews Neurology, 2019 - nature.com
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
F Cardinale, M Rizzi, E Vignati, M Cossu, L Castana… - Brain, 2019 - academic.oup.com
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 …