Increased gamma and decreased fast ripple connections of epileptic tissue: a high-frequency directed network approach
10.1111/epi.16296 · doi-reference
High frequency oscillations and high frequency functional network characteristics in the intraoperative electrocorticogram in epilepsy
10.1016/j.nicl.2016.09.014 · doi-reference
High-frequency oscillations as a new biomarker in epilepsy
10.1002/ana.22548 · doi-reference
Detection of high-frequency oscillations in electroencephalography: A scoping review and an adaptable open-source framework
10.1016/j.seizure.2020.11.009 · doi-reference
Graph analysis of epileptogenic networks in human partial epilepsy
10.1111/j.1528-1167.2010.02785.x · doi-reference
Ictal high frequency oscillations distinguish two types of seizure territories in humans
10.1093/brain/awt276 · doi-reference
A systematic framework for functional connectivity measures
10.3389/fnins.2014.00405 · doi-reference
Epileptogenic networks of type II focal cortical dysplasia: a stereo-EEG study
10.1016/j.neuroimage.2012.03.090 · doi-reference
High frequency oscillations in intra-operative electrocorticography before and after epilepsy surgery
10.1016/j.clinph.2014.03.004 · doi-reference
Are high frequency oscillations associated with altered network topology in partial epilepsy?
10.1016/j.neuroimage.2013.06.031 · doi-reference
Residual fast ripples in the intraoperative corticogram predict epilepsy surgery outcome
10.1212/wnl.0000000000001727 · doi-reference
Identification of the sensory/motor area and pathologic regions using ECoG coherence
10.1016/s0013-4694(97)00082-5 · doi-reference
Spatiotemporal mapping of interictal spike propagation: a novel methodology applied to pediatric intracranial EEG recordings
10.3389/fneur.2016.00229 · doi-reference
Surgical resection of ripple onset predicts outcome in pediatric epilepsy
10.1002/ana.25295 · doi-reference
Lesion, ‘irritative’ zone and epileptogenic focus
10.1159/000103937 · doi-reference
Seizures and epilepsy: an overview for neuroscientists
10.1101/cshperspect.a022426 · doi-reference
Emerging roles of network analysis for epilepsy
10.1016/j.eplepsyres.2019.106255 · doi-reference
Drug resistance in epilepsy: expression of drug resistance proteins in common causes of refractory epilepsy
10.1093/brain/awf002 · doi-reference
High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients
10.1016/j.nicl.2019.101908 · doi-reference
Double-step machine learning based procedure for HFOs detection and classification
10.3390/brainsci10040220 · doi-reference
Cortical abnormalities in epilepsy revealed by local EEG synchrony
10.1016/j.neuroimage.2006.11.009 · doi-reference
Epilepsy as a disease affecting neural networks: a neurophysiological perspective
10.1016/j.nrl.2020.06.010 · doi-reference
The epidemiology of epilepsy revisited
10.1097/00019052-200304000-00008 · doi-reference
Epilepsy surgery in children and adults
10.1016/s1474-4422(14)70156-5 · doi-reference
Presurgical evaluation of epilepsy
10.1093/brain/124.9.1683 · doi-reference
Kurtosis-based detection of intracranial high-frequency oscillations for the identification of the seizure onset zone
10.1142/s0129065718500016 · doi-reference
Promises and limitations of human intracranial electroencephalography
10.1038/s41593-018-0108-2 · doi-reference
Frequency-independent characteristics of high-frequency oscillations in epileptic and non-epileptic regions
10.1016/j.clinph.2016.10.011 · doi-reference
Complex network analysis of human ECoG data
10.1016/j.neulet.2008.09.080 · doi-reference
Seizure-onset regions demonstrate high inward directed connectivity during resting-state: An SEEG study in focal epilepsy
10.1111/epi.16686 · doi-reference
Quantitative analysis of intracranial electrocorticography signals using the concept of statistical parametric mapping
10.1038/s41598-019-53749-3 · doi-reference
Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients
10.1016/s0167-2789(00)00087-7 · doi-reference
A skew-based method for identifying intracranial EEG channels with epileptic activity without detecting spikes, ripples, or fast ripples
10.1016/j.clinph.2019.10.025 · doi-reference
Mortality in adults with newly diagnosed and chronic epilepsy: a retrospective comparative study
10.1016/s1474-4422(06)70448-3 · doi-reference
Spike propagation mapping reveals effective connectivity and predicts surgical outcome in epilepsy
10.1093/brain/awad118 · doi-reference
Interictal EEG spikes identify the region of seizure onset in some, but not all pediatric epilepsy patients
10.1111/j.1528-1167.2009.02306.x · doi-reference
Resting state connectivity in neocortical epilepsy: the epilepsy network as a patient-specific biomarker
10.1016/j.clinph.2018.11.016 · doi-reference
Identification of seizure onset zone and preictal state based on characteristics of high frequency oscillations
10.1016/j.clinph.2014.11.007 · doi-reference
Learning to define an electrical biomarker of the epileptogenic zone
10.1002/hbm.24813 · doi-reference
Duration of electroencephalographic recordings in patients with epilepsy
10.1016/j.seizure.2013.02.016 · doi-reference
