Dynamics of epileptic phenomena determined from statistics of ictal transitions.
about
Daily rhythmic behaviors and thermoregulatory patterns are disrupted in adult female MeCP2-deficient miceA computational study of stimulus driven epileptic seizure abatement.Estimation of brain network ictogenicity predicts outcome from epilepsy surgery.Control of in vivo ictogenesis via endogenous synaptic pathways.Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling.Understanding Epileptiform After-Discharges as Rhythmic Oscillatory Transients.On the nature of seizure dynamics.Scaling effects and spatio-temporal multilevel dynamics in epileptic seizures.Statistical analysis of sleep spindle occurrences.Seizure prediction and its applicationsComputer modelling of epilepsyInformation theoretic measures of network coordination in high-frequency scalp EEG reveal dynamic patterns associated with seizure terminationTowards dynamical network biomarkers in neuromodulation of episodic migraine.Improving early seizure detection.Real-time Detection of Precursors to Epileptic Seizures: Non-Linear Analysis of System Dynamics.Dynamics of convulsive seizure termination and postictal generalized EEG suppression.Statistical validation of event predictors: a comparative study based on the field of seizure prediction.Proposing a two-level stochastic model for epileptic seizure genesis.Human focal seizures are characterized by populations of fixed duration and interval.Sustained efficacy of closed loop electrical stimulation for long-term treatment of absence epilepsy in rats.A phenomenological model of seizure initiation suggests network structure may explain seizure frequency in idiopathic generalised epilepsy.The importance of modeling epileptic seizure dynamics as spatio-temporal patterns.A critical role for network structure in seizure onset: a computational modeling approach.Mechanisms of intermittent state transitions in a coupled heterogeneous oscillator model of epilepsy.Epileptic seizures from abnormal networks: why some seizures defy predictability.Model-guided control of hippocampal discharges by local direct current stimulation.Analysis of absence seizure generation using EEG spatial-temporal regularity measures.Reactive control of epileptiform discharges in realistic computational neuronal models with bistability.Dynamics of Epileptiform Discharges Induced by Transcranial Magnetic Stimulation in Genetic Generalized Epilepsy.Preventive and Abortive Strategies for Stimulation Based Control of Epilepsy: A Computational Model Study.Neural mass activity, bifurcations, and epilepsy.Detection of nonstationary transition to synchronized states of a neural network using recurrence analyses.Multiple oscillatory states in models of collective neuronal dynamics.Dynamics of collective multi-stability in models of multi-unit neuronal systems.Simple spontaneously active Hebbian learning model: homeostasis of activity and connectivity, and consequences for learning and epileptogenesis.Characteristics of Epileptiform Discharge Duration and Interdischarge Interval in Genetic Generalized Epilepsies.Epileptic Seizure Prediction by a System of Particle Filter Associated with a Neural Network
P2860
Q27304523-424FAA3B-8CF2-4A43-B09B-ED7F587E1A4DQ27322171-661CAAFF-B32E-4222-966C-9C380002E799Q27332634-2EA7E8B4-8124-40B4-8686-F8722FAD01DFQ29994867-1A1451F6-70AD-4B55-A370-18C0AFAAA675Q30836797-F6B356C8-4A7A-4D61-BE19-04C3E8B5D3D2Q30845506-97B52562-9B02-4AF0-96C2-80F305EF70CAQ33937473-D82930B9-07DC-4DA5-AF36-8AECB66D2A2FQ34169980-7BE61C1B-B57A-49F1-BB9F-57048D2E9268Q34656167-E1E29094-0AE4-411D-B147-A70F5A6D2BADQ35611469-F76B75DD-6D59-40C0-A3FB-654F27148F2AQ37204997-769D1AA8-1B95-49F7-8FD5-C50D289E8E08Q37241700-E19A0831-58F8-45FF-AE2E-691B408132E2Q37342564-2A2FB6A9-C98E-4C69-BC29-CEBE8E58041FQ37955384-47CE25E8-E621-4F3F-9334-573F2DE6E8CBQ38877371-DD576AC5-3B70-448B-AF8A-1461FA6B350EQ39028458-CCCDC5CD-EE0C-4DB0-AB22-3A7E38CC3354Q39723870-0F2080E8-0647-4821-A17E-D00A80577CD5Q40115277-AF0F162B-54A7-44FC-BD04-FAF1FD1A33C2Q40158208-C588A011-A83E-42FD-8C3E-8D0AF402C763Q41108224-D7A81C35-85E7-4F7E-9A11-504B3FB1A678Q41879043-3AD03309-F777-4197-B8C5-6918DD9F10D8Q41958955-3975EEB4-2A62-4AE6-987F-47B9177C36E1Q42086990-D9509E6E-5976-48D1-B41A-0B42109729DBQ42101884-61376941-9E8C-4110-BAE2-1F6402C04ABCQ42257904-B48C22F7-D50C-40A2-8DD0-5B0D3DA1F007Q42266275-849C77FE-F470-4E59-A72C-751AA86E1AEEQ44484757-AE95E279-526F-4B44-A74A-3025F28F85D7Q44929547-0CC3D71F-0A1E-4818-8A2D-A11E49F6CAAEQ47837513-7BEE8EC5-CAD7-45AB-9365-2421DFF7B118Q48634569-E18CC27C-8E62-4A44-A479-E3CC5A914611Q48897703-AE89F694-A874-4022-81E9-C625482462E8Q49960590-6D3B916B-38B5-4EE9-A55D-CF1DF84A7CFDQ51062737-2CD66E4F-E459-4E3D-9F75-B9BB4DCB2E2DQ51118332-8751B9A6-E748-4727-B69D-6339D325C0C7Q51901386-112BA560-3B77-4F9C-BFD0-4774FFAA444FQ55402346-DF3FE634-C3A8-4643-A0C3-BC38F350A319Q59249367-8F2CE747-7374-461B-BB52-9206E752DECB
P2860
Dynamics of epileptic phenomena determined from statistics of ictal transitions.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Dynamics of epileptic phenomena determined from statistics of ictal transitions.
@en
Dynamics of epileptic phenomena determined from statistics of ictal transitions.
@nl
type
label
Dynamics of epileptic phenomena determined from statistics of ictal transitions.
@en
Dynamics of epileptic phenomena determined from statistics of ictal transitions.
@nl
prefLabel
Dynamics of epileptic phenomena determined from statistics of ictal transitions.
@en
Dynamics of epileptic phenomena determined from statistics of ictal transitions.
@nl
P2093
P50
P356
P1476
Dynamics of epileptic phenomena determined from statistics of ictal transitions
@en
P2093
Brigitte M Bouwman
Clementina M van Rijn
Demetrios N Velis
Fernando H Lopes da Silva
Houman Khosravani
Jaime Parra
Miron Derchansky
Peter van Hese
P304
P356
10.1109/TBME.2005.869800
P577
2006-03-01T00:00:00Z