Stimulation-based anticipation and control of state transitions in the epileptic brain.
about
Dynamic mechanisms of neocortical focal seizure onsetPredicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based SimulationsSpatiotemporal dynamics of optogenetically induced and spontaneous seizure transitions in primary generalized epilepsy.Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling.Evolving Network Model That Almost Regenerates Epileptic Data.Computer models to inform epilepsy surgery strategies: prediction of postoperative outcomeScaling effects and spatio-temporal multilevel dynamics in epileptic seizures.Dynamics on networks: the role of local dynamics and global networks on the emergence of hypersynchronous neural activity.Optimal control based seizure abatement using patient derived connectivityStudying network mechanisms using intracranial stimulation in epileptic patients.Critical dynamics of Hopf bifurcations in the corticothalamic system: Transitions from normal arousal states to epileptic seizures.Individual brain structure and modelling predict seizure propagation.Seizures Start without Common Signatures of Critical Transition.Dynamics of convulsive seizure termination and postictal generalized EEG suppression.Seizures, refractory status epilepticus, and depolarization block as endogenous brain activities.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.Mechanisms of intermittent state transitions in a coupled heterogeneous oscillator model of epilepsy.Phase space approach for modeling of epileptic dynamics.Reactive control of epileptiform discharges in realistic computational neuronal models with bistability.Fast and slow domino regimes in transient network dynamics.Phenomenological network models: Lessons for epilepsy surgery.Transcranial Magnetic Stimulation Combined with EEG Reveals Covert States of Elevated Excitability in the Human Epileptic Brain.Modelling the role of tissue heterogeneity in epileptic rhythms.Seizure generation: the role of nodes and networks.Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators.Preventive and Abortive Strategies for Stimulation Based Control of Epilepsy: A Computational Model Study.Neuronal network model of interictal and recurrent ictal activity.Dynamics of collective multi-stability in models of multi-unit neuronal systems.
P2860
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P2860
Stimulation-based anticipation and control of state transitions in the epileptic brain.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh
2010年學術文章
@zh-hant
name
Stimulation-based anticipation and control of state transitions in the epileptic brain.
@en
Stimulation-based anticipation and control of state transitions in the epileptic brain.
@nl
type
label
Stimulation-based anticipation and control of state transitions in the epileptic brain.
@en
Stimulation-based anticipation and control of state transitions in the epileptic brain.
@nl
prefLabel
Stimulation-based anticipation and control of state transitions in the epileptic brain.
@en
Stimulation-based anticipation and control of state transitions in the epileptic brain.
@nl
P1433
P1476
Stimulation-based anticipation and control of state transitions in the epileptic brain
@en
P2093
Demetrios N Velis
Fernando H Lopes da Silva
P304
P356
10.1016/J.YEBEH.2009.12.023
P577
2010-02-16T00:00:00Z