[HTML][HTML] Animal models of epilepsy: a phenotype-oriented review
Epilepsy is a serious neurological disorder characterized by abnormal, recurrent, and
synchronous discharges in the brain. Long-term recurrent seizure attacks can cause serious …
synchronous discharges in the brain. Long-term recurrent seizure attacks can cause serious …
Chronic electroencephalography in epilepsy with a responsive neurostimulation device: current status and future prospects
VR Rao - Expert Review of Medical Devices, 2021 - Taylor & Francis
Introduction Implanted neurostimulation devices are gaining traction as therapeutic options
for people with certain forms of drug-resistant focal epilepsy. Some of these devices enable …
for people with certain forms of drug-resistant focal epilepsy. Some of these devices enable …
Identification of different MRI atrophy progression trajectories in epilepsy by subtype and stage inference
Artificial intelligence (AI)-based tools are widely employed, but their use for diagnosis and
prognosis of neurological disorders is still evolving. Here we analyse a cross-sectional …
prognosis of neurological disorders is still evolving. Here we analyse a cross-sectional …
FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research
The genomes of thousands of individuals are profiled within Dutch healthcare and research
each year. However, this valuable genomic data, associated clinical data and consent are …
each year. However, this valuable genomic data, associated clinical data and consent are …
Artificial intelligence in epilepsy phenotyping
Artificial intelligence (AI) allows data analysis and integration at an unprecedented
granularity and scale. Here we review the technological advances, challenges, and future …
granularity and scale. Here we review the technological advances, challenges, and future …
Deep learning approaches for seizure video analysis: A review
Seizure events can manifest as transient disruptions in the control of movements which may
be organized in distinct behavioral sequences, accompanied or not by other observable …
be organized in distinct behavioral sequences, accompanied or not by other observable …
Integrating network neuroscience into epilepsy care: Progress, barriers, and next steps
Drug resistant epilepsy is a disorder involving widespread brain network alterations.
Recently, many groups have reported neuroimaging and electrophysiology network analysis …
Recently, many groups have reported neuroimaging and electrophysiology network analysis …
Modeling seizures in the Human Phenotype Ontology according to contemporary ILAE concepts makes big phenotypic data tractable
Objective The clinical features of epilepsy determine how it is defined, which in turn guides
management. Therefore, consideration of the fundamental clinical entities that comprise an …
management. Therefore, consideration of the fundamental clinical entities that comprise an …
Automated video analysis of emotion and dystonia in epileptic seizures
JC Hou, M Thonnat, F Bartolomei, A McGonigal - Epilepsy Research, 2022 - Elsevier
Objective To investigate the accuracy of deep learning methods applied to seizure video
data, in discriminating individual semiologic features of dystonia and emotion in epileptic …
data, in discriminating individual semiologic features of dystonia and emotion in epileptic …
Design, implementation, and inferential issues associated with clinical trials that rely on data in electronic medical records: a narrative review
A Leviton, T Loddenkemper - BMC Medical Research Methodology, 2023 - Springer
Real world evidence is now accepted by authorities charged with assessing the benefits and
harms of new therapies. Clinical trials based on real world evidence are much less …
harms of new therapies. Clinical trials based on real world evidence are much less …