Machine learning methods applied to Cortico-cortical evoked potentials aid in localizing seizure onset zones
Epilepsy affects millions of people, reducing quality of life and increasing risk of premature
death. One-third of epilepsy cases are drug-resistant and require surgery for treatment …
death. One-third of epilepsy cases are drug-resistant and require surgery for treatment …
Localizing seizure onset zone by a cortico-cortical evoked potentials-based machine learning approach in focal epilepsy
B Yang, B Zhao, C Li, J Mo, Z Guo, Z Li, Y Yao… - Clinical …, 2024 - Elsevier
Objective We aimed to develop a new approach for identifying the localization of the seizure
onset zone (SOZ) based on corticocortical evoked potentials (CCEPs) and to compare the …
onset zone (SOZ) based on corticocortical evoked potentials (CCEPs) and to compare the …
Localizing temporal lobe seizure onset zones using deep learning on SEEG cortico-cortical evoked potentials
In drug resistant temporal lobe epilepsy, automated tools for seizure onset zone (SOZ)
localization using brief interictal recordings would supplement presurgical evaluations and …
localization using brief interictal recordings would supplement presurgical evaluations and …
Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a Transformer
Epilepsy is one of the most common neurological disorders, and many patients require
surgical intervention when medication fails to control seizures. For effective surgical …
surgical intervention when medication fails to control seizures. For effective surgical …
Integrating Data Across Oscillatory Power Bands Predicts the Epileptogenic Zone: the Frequency Range Explorer Epileptogenic Zone (FREEZ) Identification Algorithm
S O'Leary, AC Lesage, L Camarillo-Rodriguez, O Zhou… - bioRxiv, 2024 - biorxiv.org
Epilepsy affects over 70 million people globally. One-third of people with focal epilepsy have
drug-resistant epilepsy. Identification and removal of the site of onset of seizures, termed the …
drug-resistant epilepsy. Identification and removal of the site of onset of seizures, termed the …
A one-dimensional convolutional neural network model for automated localization of epileptic foci
Intracranial electrocorticogram (iEEG) is often used by clinical experts to determine the
location of the epileptic focal in the treatment of epilepsy. However, assess the location of …
location of the epileptic focal in the treatment of epilepsy. However, assess the location of …
[PDF][PDF] SZLoc: a multi-resolution architecture for automated epileptic seizure localization from scalp EEG
We propose an end-to-end deep learning framework for epileptic seizure localization from
scalp electroencephalography (EEG). Our architecture, SZLoc, extracts multi-resolution …
scalp electroencephalography (EEG). Our architecture, SZLoc, extracts multi-resolution …
Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy
Y Varatharajah, B Berry, J Cimbalnik… - Journal of neural …, 2018 - iopscience.iop.org
Objective. An ability to map seizure-generating brain tissue, ie the seizure onset zone (SOZ),
without recording actual seizures could reduce the duration of invasive EEG monitoring for …
without recording actual seizures could reduce the duration of invasive EEG monitoring for …
SozRank: A new approach for localizing the epileptic seizure onset zone
Y Murin, J Kim, J Parvizi… - PLoS computational …, 2018 - journals.plos.org
Epilepsy is one of the most common neurological disorders affecting about 1% of the world
population. For patients with focal seizures that cannot be treated with antiepileptic drugs …
population. For patients with focal seizures that cannot be treated with antiepileptic drugs …
[HTML][HTML] Identifying seizure onset zone from electrocorticographic recordings: a machine learning approach based on phase locking value
B Elahian, M Yeasin, B Mudigoudar, JW Wheless… - Seizure, 2017 - Elsevier
Purpose Using a novel technique based on phase locking value (PLV), we investigated the
potential for features extracted from electrocorticographic (ECoG) recordings to serve as …
potential for features extracted from electrocorticographic (ECoG) recordings to serve as …