Recent advances in the use of focused ultrasound as a treatment for epilepsy
E Lescrauwaet, K Vonck, M Sprengers… - Frontiers in …, 2022 - frontiersin.org
Epilepsy affects about 1% of the population. Approximately one third of patients with
epilepsy are drug-resistant (DRE). Resective surgery is an effective treatment for DRE, yet …
epilepsy are drug-resistant (DRE). Resective surgery is an effective treatment for DRE, yet …
[HTML][HTML] Artificial intelligence and computational approaches for epilepsy
Studies on treatment of epilepsy have been actively conducted in multiple avenues, but
there are limitations in improving its efficacy due to between-subject variability in which …
there are limitations in improving its efficacy due to between-subject variability in which …
Neural fragility as an EEG marker of the seizure onset zone
Over 15 million patients with epilepsy worldwide do not respond to drugs. Successful
surgical treatment requires complete removal or disconnection of the seizure onset zone …
surgical treatment requires complete removal or disconnection of the seizure onset zone …
NREM sleep is the state of vigilance that best identifies the epileptogenic zone in the interictal electroencephalogram
P Klimes, J Cimbalnik, M Brazdil, J Hall, F Dubeau… - …, 2019 - Wiley Online Library
Objective Interictal epileptiform anomalies such as epileptiform discharges or high‐
frequency oscillations show marked variations across the sleep‐wake cycle. This study …
frequency oscillations show marked variations across the sleep‐wake cycle. This study …
Multi-feature localization of epileptic foci from interictal, intracranial EEG
Objective When considering all patients with focal drug-resistant epilepsy, as high as 40–
50% of patients suffer seizure recurrence after surgery. To achieve seizure freedom without …
50% of patients suffer seizure recurrence after surgery. To achieve seizure freedom without …
Artificial intelligence in epilepsy—applications and pathways to the clinic
Artificial intelligence (AI) is rapidly transforming health care, and its applications in epilepsy
have increased exponentially over the past decade. Integration of AI into epilepsy …
have increased exponentially over the past decade. Integration of AI into epilepsy …
Seizure onset zone identification from iEEG: A review
This paper discusses the various methods of identifying the seizure onset zone (SOZ) from
the intracranial electroencephalography (iEEG) data. Epilepsy, also known as seizure …
the intracranial electroencephalography (iEEG) data. Epilepsy, also known as seizure …
Epileptic seizure focus detection from interictal electroencephalogram: a survey
MR Islam, X Zhao, Y Miao, H Sugano… - Cognitive neurodynamics, 2023 - Springer
Electroencephalogram (EEG) is one of most effective clinical diagnosis modalities for the
localization of epileptic focus. Most current AI solutions use this modality to analyze the EEG …
localization of epileptic focus. Most current AI solutions use this modality to analyze the EEG …
Fractal and multifractal properties of electrographic recordings of human brain activity: toward its use as a signal feature for machine learning in clinical applications
The quantification of brain dynamics is essential to its understanding. However, the brain is
a system operating on multiple time scales, and characterization of dynamics across time …
a system operating on multiple time scales, and characterization of dynamics across time …
Quantitative analysis of visually reviewed normal scalp EEG predicts seizure freedom following anterior temporal lobectomy
Objective Anterior temporal lobectomy (ATL) is a widely performed and successful
intervention for drug‐resistant temporal lobe epilepsy (TLE). However, up to one third of …
intervention for drug‐resistant temporal lobe epilepsy (TLE). However, up to one third of …