An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

A Shoeibi, P Moridian, M Khodatars… - Computers in biology …, 2022 - Elsevier
Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …

Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy

T Proix, VK Jirsa, F Bartolomei, M Guye… - Nature …, 2018 - nature.com
Recent studies have shown that seizures can spread and terminate across brain areas via a
rich diversity of spatiotemporal patterns. In particular, while the location of the seizure onset …

Therapeutic interference with vascular calcification—lessons from klotho-hypomorphic mice and beyond

F Lang, C Leibrock, L Pelzl, M Gawaz… - Frontiers in …, 2018 - frontiersin.org
Medial vascular calcification, a major pathophysiological process associated with
cardiovascular disease and mortality, involves osteo-/chondrogenic transdifferentiation of …

A scalable platform for acquisition of high-fidelity human intracranial EEG with minimal clinical burden

L Yamada, T Oskotsky, P Nuyujukian… - Plos one, 2024 - journals.plos.org
Human neuroscience research has been significantly advanced by
neuroelectrophysiological studies from people with refractory epilepsy–the only routine …

Rearchitecting a Neuromorphic Processor for Spike-Driven Brain-Computer Interfacing

H Lee, Y Jang, D Jung, S Song… - 2024 57th IEEE/ACM …, 2024 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) are electrophysiological devices (eg, electrode arrays) that
connect the brain to a computer. They offer neuroscientific and neurological innovations by …

[HTML][HTML] Temporal lobe epilepsy, stroke, and traumatic brain injury: mechanisms of hyperpolarized, depolarized, and flow-through ion channels utilized as tri …

G Sizemore, B Lucke-Wold, C Rosen… - OBM …, 2018 - ncbi.nlm.nih.gov
The brain is an integrated network of multiple variables that when compromised create a
diseased state. The neuropathology of temporal lobe epilepsy (TLE), stroke, and traumatic …

Preliminary Results of a Low-Power Wireless Telemetry Module for Long-Term µECOG Recordings

LP Gauthier, W Lemaire, K Gagnon… - 2022 20th IEEE …, 2022 - ieeexplore.ieee.org
This study presents the wireless communication module of an implantable multi-site
intracranial recording device composed of four arrays of 49 electrodes. The implant is …

[PDF][PDF] Implémentation matérielle d'un module de communication pour un implant multisite capable de prévoir les crises épileptiques par une mesure de l'activité …

LP Gauthier - 2022 - savoirs.usherbrooke.ca
Près de 15% des patients souffrant d'épilepsie ne peuvent être traités par médication ou
chirurgie. La neurostimulation réactive (RNS) repose sur l'utilisation d'un implant …

Development of machine learning-based open-source tools for processing and analysis of extracellular neuronal signals to facilitate disease monitoring

MI Fabietti - 2022 - irep.ntu.ac.uk
Neuronal signals are recordings of the electrical activity of the brain, which allow gaining
insight into a diverse range of information. Like other physiological signals, extensive …

Uncovering low-dimensional structure in high-dimensional representations of long-term recordings in people with epilepsy

J Rapela, T Proix, D Todorov… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Effective representations of recordings of epileptic activity for seizure prediction are high-
dimensional, which prevents their visualization. Here we introduce and evaluate methods to …