Concept
Sclérose tubéreuse de Bourneville
Publications associées (21)
EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems
David Atienza Alonso, Amir Aminifar, Renato Zanetti
Epilepsy is one of the most common neurological disorders that is characterized by recurrent and unpredictable seizures. Wearable systems can be used to detect the onset of a seizure and notify family members and emergency units for rescue. The majority of ...
2023Increased Gray Matter Density in the Right Mesencephalic Tegmentum Is Associated With Better Engel Classes I and II After Radiosurgery for Hypothalamic Hamartomas
BACKGROUND:Hypothalamic hamartomas (HHs) are disabling congenital lesions, responsible for gelastic seizures frequently associated with catastrophic epilepsies, epileptogenic encephalopathy, and cognitive and psychiatric severe comorbidities. Stereotactic ...
LIPPINCOTT WILLIAMS & WILKINS2022Recent Developments on the Use of Nanomaterials for the Treatment of Epilepsy
Sandrine Gerber, Sara María Garcia Pedrero
Epilepsy affects more than 40 million people worldwide, constituting one of the most debilitating disorders of the Central Nervous System (CNS). It results from an imbalance in the electrical activity of neurons, which is primarily mediated by calcium ions ...
2022Colon tumour cell death causes mTOR dependence by paracrine P2X4 stimulation
Solid cancers exhibit a dynamic balance between cell death and proliferation ensuring continuous tumour maintenance and growth(1,2). Increasing evidence links enhanced cancer cell apoptosis to paracrine activation of cells in the tumour microenvironment in ...
NATURE PORTFOLIO2022Fractal analysis in the quantification of medical imaging associated with multiple sclerosis pathology
Backgrounds: Multiple sclerosis (MS) is an inveterate phlogistic situation characterized by focal and vaguely diffusive de-myelination and neurodegeneration, in the sphere of central nervous system (CNS). The brain's chronic inflammatory reaction includes ...
IMR PRESS2022Two-stage Hardware-Friendly Epileptic Seizure Detection Method with a Dynamic Feature Selection
Alexandre Schmid, Keyvan Farhang Razi
A novel low-complexity method of detecting epileptic seizures from intracranial encephalography (iEEG) signals is presented. In the proposed algorithm, coastline, energy and nonlinear energy features of iEEG signals are extracted in a patient-specific two- ...
IEEE2021Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes
Meritxell Bach Cuadra, Cristina Granziera, Guillaume Bonnier, Mario Joao Fartaria de Oliveira, Po-Jui Lu
Introduction:Changes in cortical and white matter lesion (CL, WML) load are pivotal metrics to diagnose and monitor multiple sclerosis patients. Yet, the relationship between (i) changes in CL/WML load and disease progression and between (ii) changes in CL ...
FRONTIERS MEDIA SA2020