Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Seizure prediction—ready for a new era
Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …
majority of people with epilepsy regard the unpredictability of seizures as a major issue …
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 …
Multi-day rhythms modulate seizure risk in epilepsy
Epilepsy is defined by the seemingly random occurrence of spontaneous seizures. The
ability to anticipate seizures would enable preventative treatment strategies. A central but …
ability to anticipate seizures would enable preventative treatment strategies. A central but …
Managing drug-resistant epilepsy: challenges and solutions
Despite the development of new antiepileptic drugs (AEDs),~ 20%–30% of people with
epilepsy remain refractory to treatment and are said to have drug-resistant epilepsy (DRE) …
epilepsy remain refractory to treatment and are said to have drug-resistant epilepsy (DRE) …
The circadian profile of epilepsy improves seizure forecasting
It is now established that epilepsy is characterized by periodic dynamics that increase
seizure likelihood at certain times of day, and which are highly patient-specific. However …
seizure likelihood at certain times of day, and which are highly patient-specific. However …
A forward-looking review of seizure prediction
We conclude the review with an exercise in wishful thinking, which asks what the ideal
seizure prediction dataset would look like and how these data should be manipulated to …
seizure prediction dataset would look like and how these data should be manipulated to …
The RNS System: brain-responsive neurostimulation for the treatment of epilepsy
Introduction: Epilepsy affects more than 1% of the US population, and over 30% of adults
with epilepsy do not respond to antiseizure medications without life-impacting medication …
with epilepsy do not respond to antiseizure medications without life-impacting medication …
Loss of neuronal network resilience precedes seizures and determines the ictogenic nature of interictal synaptic perturbations
The mechanism of seizure emergence and the role of brief interictal epileptiform discharges
(IEDs) in seizure generation are two of the most important unresolved issues in modern …
(IEDs) in seizure generation are two of the most important unresolved issues in modern …
Recognizing seizure clusters in the community: the path to uniformity and individualization in nomenclature and definition
Seizure emergencies experienced by patients with epilepsy include status epilepticus and
seizure clusters. Although an accepted definition of status epilepticus exists, no clear …
seizure clusters. Although an accepted definition of status epilepticus exists, no clear …