[PDF] Top 20 Semiology and Epileptic Networks
Has 10000 "Semiology and Epileptic Networks" found on our website. Below are the top 20 most common "Semiology and Epileptic Networks".
Semiology and Epileptic Networks
... INTRODUCTION Epileptic seizures caused by abnormal cerebral electrical discharge may be symptomatic or asymptomatic, an observation readily apparent from electroencephalography (EEG) recording, especially when ... Voir le document complet
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Interictal functional connectivity of human epileptic networks assessed by intracerebral EEG and BOLD signal fluctuations.
... pathological and cortices spared by electrical abnormalities in humans using ...[13,32] and the one measured by resting state fMRI, showing decreased functional connectivity in the EZ/IZ1 ...non ... Voir le document complet
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Detecting Epileptic Regions Based on Global Brain Connectivity Patterns
... during and between seizures ...invasive and provides full coverage of the ...to epileptic regions ...brain networks and produced results that are sensitive to user-specified ... Voir le document complet
10
Towards Accurate Forecasting of Epileptic Seizures: Artificial Intelligence and Effective Connectivity Findings
... abnormal and excessive neuronal ...(semiology) and surface electroencephalographic (EEG) epileptiform discharges are key features of broad anatomical localization, which can be further refined with ... Voir le document complet
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Computational models of epileptic activity: a bridge between observation and pathophysiological interpretation.
... side-effects and toxicity have been introduced since the 1950s, 30 of % patients remain ...neurons) and regional (networks of networks of neurons) ...high and neurocomputational models ... Voir le document complet
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Low-Power Implantable Device for Onset Detection and Subsequent Treatment of Epileptic Seizures: A Review
... the epileptic discharge spreads ...generalized epileptic seizures originate within, and rapidly engage, bilaterally distributed networks (arrows in ...type and epileptogenic ...1a) ... Voir le document complet
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Model-based measurement of epileptic tissue excitability.
... of epileptic patients, diagnostic is mainly based on merging information from anatomo-functional imaging, semiology and from electrophysiological signals recorded from scalp-electrodes (EEG signals) ... Voir le document complet
6
Modeling epileptic dynamics in the hippocampus using a multiscale approach
... GABAB Receptors.”. The Journal of Neuroscience 1998, 18:9099-9111, no. 21. 6. Stefanescu , Roxana A, Viktor KJirsa: “A Low Dimensional Description of Globally Coupled Heterogeneous Neural Networks of Excitatory ... Voir le document complet
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Studying network mechanisms using intracranial stimulation in epileptic patients.: Neurostimulation and connectivity in epilepsy
... further and showed how synaptic plasticity could be explicitly modeled using generative models of local field potentials ( David et ...) and assumed different possible neural network configurations within ... Voir le document complet
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Epileptic Seizure Detection Using a Convolutional Neural Network
... (a) and the spatial representation (b) ...neural networks (CNNs) are a family of multilayer neural networks and are considered as the first successful trial for deep learning approach where ... Voir le document complet
9
Fast statistical model-based classification of epileptic EEG signals
... approach and used the 39 signal segments described above to train and test the ...signals and 26 non-seizure signals, and then assessed classi fication perfor- mance on the remaining 3 signals ... Voir le document complet
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Interpretation of intracerebral-EEG epileptic spikes from detailed modeling of neural networks
... drug-resistant and surgery may be ...on epileptic spikes observed in patients during intracerebral ...physiologically and biophysically plausible neural network model (CA1 subfield) at the cellular ... Voir le document complet
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Study on epileptic seizure detection in EEG signals using largest Lyapunov exponents and logistic regression
... cells and the total amount of excitation may not have changed, only the timing of the ...again and again, the resulting EEG will consist on a signal representing the normal activity of the brain, but if ... Voir le document complet
10
Positron emission tomography in patients with psychogenic non-epileptic seizures
... subject, and the need for further studies with more rigorous ...works and avoid dissemination of ...journal and its interest in advancing knowledge in the field of neuropsychiatry, we would expect ... Voir le document complet
3
Cross-frequency coupling in mesiotemporal EEG recordings of epileptic patients.
... side and Fp2, F4, F6, F8, T4, T6, P4, C4, O2 from the right side were ...Hz and an attenuation of 24 ...Hz and A/D conversion had a resolution of 16 ...spike and wave patterns, evolving ... Voir le document complet
7
On the origin of epileptic High Frequency Oscillations observed on clinical electrodes
... Page 5 1. Introduction In drug-resistant partial epilepsies, resective surgery is the treatment of choice to suppress seizures, provided that the epileptogenic zone (EZ) is clearly identified and that it can be ... Voir le document complet
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Study on epileptic seizure detection in EEG signals using largest Lyapunov exponents and logistic regression
... cells and the total amount of excitation may not have changed, only the timing of the ...again and again, the resulting EEG will consist on a signal representing the normal activity of the brain, but if ... Voir le document complet
9
Re-annotation of 191 developmental and epileptic encephalopathy-associated genes unmasks de novo variants in SCN1A.
... DS and it therefore seems reasonable to speculate that a higher inclusion of any of these poison exons could lead to a net reduction of functional protein and thus the disease phenotype; this has in fact ... Voir le document complet
11
Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the k-nearest neighbors classifier
... model and a k-nearest neigh- bors classification scheme that discriminates spike-and-wave from non-spike-and-wave ...spike-and-wave and non-spike-and-wave events used for ... Voir le document complet
6
Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the k-nearest neighbors classifier
... learning and data mining areas, such as bioinformatics, image processing, data compression, document retrieval, computer vision, multime- dia database and marketing data ...epilepsy and EEG ... Voir le document complet
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