Preictal state identification by synchronization changes in long-term intracranial EEG recordings.
about
A rule-based seizure prediction method for focal neocortical epilepsyLong-term effects of temporal lobe epilepsy on local neural networks: a graph theoretical analysis of corticography recordings.Inferring spatiotemporal network patterns from intracranial EEG data.Detecting seizure origin using basic, multiscale population dynamic measures: preliminary findings.Identification of preseizure States in epilepsy: a data-driven approach for multichannel EEG recordings.Assessing directionality and strength of coupling through symbolic analysis: an application to epilepsy patients.Scale invariance properties of intracerebral EEG improve seizure prediction in mesial temporal lobe epilepsy.Seizure prediction and its applicationsTherapeutic devices for epilepsy.Time-dependent degree-degree correlations in epileptic brain networks: from assortative to dissortative mixing.Predictability of uncontrollable multifocal seizures - towards new treatment options.Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.Hippocampal effective synchronization values are not pre-seizure indicator without considering the state of the onset channels.Local and Distant Dysregulation of Synchronization Around Interictal Spikes in BECTS.The paradox of the paroxysm: can seizure precipitants help explain human ictogenesis?Seizure Prediction and Detection via Phase and Amplitude Lock Values.Identification of Interictal Epileptic Networks from Dense-EEG.Online Epileptic Seizure Prediction Using Wavelet-Based Bi-Phase Correlation of Electrical Signals Tomography.Cortical abnormalities in epilepsy revealed by local EEG synchronyDynamic control of modeled tonic-clonic seizure states with closed-loop stimulation.Fundamental dynamical modes underlying human brain synchronizationEpilepsy and nonlinear dynamics.Long-term variability of global statistical properties of epileptic brain networks.The EPILEPSIAE database: an extensive electroencephalography database of epilepsy patients.Internetwork and intranetwork communications during bursting dynamics: applications to seizure prediction.Detecting and localizing the foci in human epileptic seizures.Measuring the directionality of coupling: phase versus state space dynamics and application to EEG time series.Is Using Threshold-Crossing Method and Single Type of Features Sufficient to Achieve Realistic Application of Seizure Prediction?Can spurious indications for phase synchronization due to superimposed signals be avoided?Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators.Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction.Neuronal network model of interictal and recurrent ictal activity.Seizure prediction in patients with focal hippocampal epilepsy.Estimating nonlinear interdependences in dynamical systems using cellular nonlinear networks.Synchronization measurement of multiple neuronal populations.Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.Global Epileptic Seizure Identification With Affinity Propagation Clustering Partition Mutual Information Using Cross-Layer Fully Connected Neural Network
P2860
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P2860
Preictal state identification by synchronization changes in long-term intracranial EEG recordings.
description
2004 nî lūn-bûn
@nan
2004 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Preictal state identification ...... m intracranial EEG recordings.
@ast
Preictal state identification ...... m intracranial EEG recordings.
@en
type
label
Preictal state identification ...... m intracranial EEG recordings.
@ast
Preictal state identification ...... m intracranial EEG recordings.
@en
prefLabel
Preictal state identification ...... m intracranial EEG recordings.
@ast
Preictal state identification ...... m intracranial EEG recordings.
@en
P2093
P1476
Preictal state identification ...... m intracranial EEG recordings.
@en
P2093
Jacques Martinerie
Jason Soss
Mario Chavez
Michel Baulac
Michel Le Van Quyen
Richard Robertson
Vincent Navarro
P304
P356
10.1016/J.CLINPH.2004.10.014
P577
2004-12-25T00:00:00Z