Results 101 to 110 of about 16,091 (269)
Seizure forecasting with epilepsy cycles: On the causality of forecasting pipelines
Epilepsia, EarlyView.Abstract Objective Seizure risk is modulated by multiscale brain rhythms. Previous studies using cycles in electroencephalography, heart rate, and wearable data suggest the possibility of forecasting seizures days in advance. However, they commonly rely on methods requiring (days of) information from time points beyond the moment of forecast (noncausal
Hongliu Yang +6 more
wiley +1 more source
Radon Transforms of Tempered Distributions
Real Analysis Exchange, 2005 The author very beautifully discusses the convergence problem of Radon transforms for the space of tempered distributions. This is a good departure from defining integral transforms unscrupulously (without discussing convergence etc.). We refer the reader to [\textit{J.~M.~C.\ Joshi}, ``Fractional integration and certain integral transforms'', Agra ...
openaire +3 more sources
Rhythms in longitudinal thalamic recordings are linked to seizure risk
Epilepsia, EarlyView.Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang +5 more
wiley +1 more source
Revista Chilena de Radiología, 2008 La resonancia magnética médica ha producido una revolución en la medicina y en particular en la imaginología. En su historia se mezclan matemáticos, físicos, químicos, ingenieros y médicos que desarrollaron conceptos sin una relación aparente ni una ...
Mauricio Canals
doaj
Weighted Radon transforms and first order differential systems on the plane
, 2014 International audienceWe consider weighted Radon transforms on the plane, where weights are given as finite Fourier series in angle variable. By means of additive Riemann-Hilbert problem techniques, we reduce inversion of these transforms to solving ...
Novikov, Roman
core +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Epilepsia, EarlyView.Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
Novel planning pipeline utilizing the Surgical Theater system for pediatric epilepsy surgery
Epilepsia Open, EarlyView.Abstract Objective Advances in the analysis and collation of radiographic datasets have enhanced presurgical planning for various neurosurgical procedures, including clipping of cerebral aneurysms, surgical resection of tumors, and arteriovenous malformation management.
Lisa B. E. Shields +4 more
wiley +1 more source
Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future
Epilepsia Open, EarlyView.Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley +1 more source
Epilepsia Open, EarlyView.Abstract Objective Expanded indications, diagnostic tools, and treatment options have transformed the landscape of modern pediatric epilepsy surgery. Published real‐world experiences from large surgical cohorts are still needed. To close this gap, we evaluated access, indications, treatment, and outcomes in a contemporary pediatric epilepsy surgery ...
John R. McLaren +12 more
wiley +1 more source
Wafer map failure pattern classification using geometric transformation-invariant convolutional neural network. [PDF]
Sci Rep, 2023 Jeong I +5 more
europepmc +1 more source