Interictal functional connectivity in focal refractory epilepsies investigated by intracranial EEG
Introduction: Focal epilepsies are diseases of neuronal excitability affecting macroscopic
networks of cortical and subcortical neural structures. These networks (“epileptogenic …
networks of cortical and subcortical neural structures. These networks (“epileptogenic …
Brain–computer interface (BCI) applications in mapping of epileptic brain networks based on intracranial-EEG: An update
R Alkawadri - Frontiers in neuroscience, 2019 - frontiersin.org
The main applications of the Brain–Computer Interface (BCI) have been in the domain of
rehabilitation, control of prosthetics, and in neuro-feedback. Only a few clinical applications …
rehabilitation, control of prosthetics, and in neuro-feedback. Only a few clinical applications …
Estimation of brain network ictogenicity predicts outcome from epilepsy surgery
Surgery is a valuable option for pharmacologically intractable epilepsy. However, significant
post-operative improvements are not always attained. This is due in part to our incomplete …
post-operative improvements are not always attained. This is due in part to our incomplete …
Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery
Modelling the interactions that arise from neural dynamics in seizure genesis is challenging
but important in the effort to improve the success of epilepsy surgery. Dynamical network …
but important in the effort to improve the success of epilepsy surgery. Dynamical network …
One-shot learning for iEEG seizure detection using end-to-end binary operations: Local binary patterns with hyperdimensional computing
This paper presents an efficient binarized algorithm for both learning and classification of
human epileptic seizures from intracranial electroencephalography (iEEG). The algorithm …
human epileptic seizures from intracranial electroencephalography (iEEG). The algorithm …
Association of cortical stimulation–induced seizure with surgical outcome in patients with focal drug-resistant epilepsy
CC Oderiz, N von Ellenrieder, F Dubeau… - JAMA …, 2019 - jamanetwork.com
Importance Cortical stimulation is used during presurgical epilepsy evaluation for functional
mapping and for defining the cortical area responsible for seizure generation. Despite wide …
mapping and for defining the cortical area responsible for seizure generation. Despite wide …
Hyperdimensional computing with local binary patterns: One-shot learning of seizure onset and identification of ictogenic brain regions using short-time iEEG …
Objective: We develop a fast learning algorithm combining symbolic dynamics and brain-
inspired hyperdimensional computing for both seizure onset detection and identification of …
inspired hyperdimensional computing for both seizure onset detection and identification of …
An ensemble of hyperdimensional classifiers: Hardware-friendly short-latency seizure detection with automatic iEEG electrode selection
We propose a new algorithm for detecting epileptic seizures. Our algorithm first extracts
three features, namely mean amplitude, line length, and local binary patterns that are fed to …
three features, namely mean amplitude, line length, and local binary patterns that are fed to …
An optimal strategy for epilepsy surgery: Disruption of the rich-club?
Surgery is a therapeutic option for people with epilepsy whose seizures are not controlled by
anti-epilepsy drugs. In pre-surgical planning, an array of data modalities, often including …
anti-epilepsy drugs. In pre-surgical planning, an array of data modalities, often including …
[HTML][HTML] MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses
EEG microstate analysis is an approach to study brain states and their fast transitions in
healthy cognition and disease. A key limitation of conventional microstate analysis is that it …
healthy cognition and disease. A key limitation of conventional microstate analysis is that it …