Cycles in epilepsy
Epilepsy is among the most dynamic disorders in neurology. A canonical view holds that
seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans …
seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans …
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 …
Long-term brain network reorganization predicts responsive neurostimulation outcomes for focal epilepsy
AN Khambhati, A Shafi, VR Rao… - Science Translational …, 2021 - science.org
Responsive neurostimulation (RNS) devices, able to detect imminent seizures and to rapidly
deliver electrical stimulation to the brain, are effective in reducing seizures in some patients …
deliver electrical stimulation to the brain, are effective in reducing seizures in some patients …
[HTML][HTML] Multi-day rhythms modulate seizure risk in epilepsy
MO Baud, JK Kleen, EA Mirro, JC Andrechak… - Nature …, 2018 - nature.com
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 …
Machine learning for predicting epileptic seizures using EEG signals: A review
With the advancement in artificial intelligence (AI) and machine learning (ML) techniques,
researchers are striving towards employing these techniques for advancing clinical practice …
researchers are striving towards employing these techniques for advancing clinical practice …
Focal onset seizure prediction using convolutional networks
H Khan, L Marcuse, M Fields… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Objective: This paper investigates the hypothesis that focal seizures can be predicted using
scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish …
scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish …
Seizure cycles in focal epilepsy
Importance Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our
knowledge, the prevalence and patterns of seizure cycles are unknown. Objective To …
knowledge, the prevalence and patterns of seizure cycles are unknown. Objective To …
A new era in electroencephalographic monitoring? Subscalp devices for ultra–long‐term recordings
J Duun‐Henriksen, M Baud, MP Richardson… - …, 2020 - Wiley Online Library
Inaccurate subjective seizure counting poses treatment and diagnostic challenges and thus
suboptimal quality in epilepsy management. The limitations of existing hospital‐and home …
suboptimal quality in epilepsy management. The limitations of existing hospital‐and home …
[HTML][HTML] Epileptic seizure prediction using big data and deep learning: toward a mobile system
Background Seizure prediction can increase independence and allow preventative
treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction …
treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction …
[HTML][HTML] Critical slowing down as a biomarker for seizure susceptibility
The human brain has the capacity to rapidly change state, and in epilepsy these state
changes can be catastrophic, resulting in loss of consciousness, injury and even death …
changes can be catastrophic, resulting in loss of consciousness, injury and even death …