Abstracts Overview
Here you can find the abstracts which were submitted for poster presentation to the 3rd International Workshop on Seizure Prediction.
1. Seizure Prediction and Closed-Loop Intervention
1.1) Seizure Prediction: Measuring Generalized Synchronization and Directionality with Cellular Nonlinear Networks
1.2) Interactions in Stochastic Dynamical Systems: Possible Applications to Seizure Prediction
1.3) A Cluster Computing System for Rapidly Evaluating Seizure Prediction Algorithms
1.4) Developing Seizure Prediction Algorithms Based Upon EMU Recordings: Data Challenges and Solutions
1.5) Does Seizure Prediction Require Discretely Localized Onset? A Comparison of Mesial Temporal and Regional Onset Neocortical Seizures
1.6) Implementation of Closed-Loop, EEG-Triggered Vagus Nerve Stimulation using Patient-Specific Seizure Onset Detection From Scalp EEG
1.7) Signal Prediction Algorithm by Cellular Nonlinear Networks (CNN)
1.8) Developing an Alarm System for Epileptic Seizures using Neuro-Fuzzy Models and Spectral Analysis
1.9) Modifications of the EEG Signal for Delay Reconstruction Based Seizure Prediction Methods
1.10) High Frequency Oscillations and Epileptic Seizure Prediction
1.11) Epileptic Seizure Prediction and the Open Source Software Project BioSig.
1.12) Automated Multiband Detection of High-Frequency Oscillations in Multichannel Long-Term Human Epileptic Intracranial EEG Recordings
2. Seizure and Waveform Analysis and Detection
2.1) Low Power Interictal Detection Algorithm to Facilitate Long Term and Wireless AEEG Monitoring
2.2) Improved Temporal Lobe Epileptic Event Detection through Inclusion of Cardiac Fluctuations.
2.3) Automatic Detection and Ictal Pattern Recognition of Epileptic Seizures in Long-Term Human EEG
2.4) Analysis of the Dynamics of Human Epileptic Seizures from Scalp EEG
2.5) Seizure Detection Enhanced by Seizure Prediction
2.6) Multiscale Electrophysiology in Human Epileptogenic Brain: Microseizures, DC-fluctuations, and High Frequency Oscillations
2.7) Spread of Ictal Activity in Focal Epilepsy of Frontal and Temporal Origin
2.8) Interictal High Frequency Oscillations (>200 Hz) Recorded with Intracranial Depth Macroelectrodes: A Marker of Mesial Temporal Lobe Epilepsy?
3. Interictal-Ictal Transitions
3.1) The Spatio-Temporal Evolution of EEG Correlation Clusters
3.2) Correlation Changes During Ictal Activity
3.3) Activation of the Thalamus and Deactivation of the Caudate Nucleus and Cortex Precede Generalized Cortical Epileptiform Discharges
3.4) Estimating the Average Amount of Common Information in Scalp EEG Recordings Towards Preictal State Discrimination
3.5) Long-Term Evaluation of Preictal State Identification by ECG Changes in Partial Epilepsy
3.6) Long-Range Dependence of Epileptic Seizures
3.7) Increasing Trends of Phase Synchrony and Correlation of Microwire Channels before Seizure Onset
3.8) Analysis of Activity Flows During Preictal and Ictal Periods
3.9) Spatial and Temporal Identification of Seizure Precursor Dynamics using a Phase Modeling Approach
3.10) Statistical Evaluation of Measures of Scalar Time Series in Discriminating Preictal EEG States
3.11) Microanatomy of Epileptiform Activity in Human Multielectrode Recordings
4. Dynamic Modeling and Statistical Analysis
4.1) Information Flow in Intracranial EEG Recordings of Epilepsy Patients
4.2) Influence of Network Topology on Global Synchronization in a Network of Model Neurons
4.3) Statistical Methods for Developing and Evaluating Preictal Classifiers
4.4) A Computational Model of Epilepsy and Response to Electrical Stimulation
4.5) A Computational Model of Glia-Mediated Seizure Induction
4.6) Randomized EEG Analysis
4.7) Emergence of Spreading Hyperexcitability in Diffusively Coupled FitzHugh-Nagumo Systems
4.8) Ordinal EEG Analysis
4.9) Symbolic Analysis of Multivariate Data
4.10) Simultaneous Analysis of Population Spikes and Single Neuron Activity In Vivo at the Onset of Seizure
5. Animal Models of Epilepsy
5.1) Dynamics of Spike-Wave Discharges in Young Adult and Aged Fischer 344 Rats
5.2) Insights into Epileptiform Activity using Phase Resetting Curves
5.3) The Generation of Epileptic Seizures Requires Interaction of Sclerotic and Intact Networks - A Study in a Mouse Model for Temporal Lobe Epilepsy
5.4) Evolution of Correlations and High Frequency Components in Multi-Channel EEG Recordings from Rat Kindling and Kainate Models of Temporal Lobe Epilepsy.
5.5) Changes in Inter-Hippocampal Coherence Precede Epileptiform Activity in Mice with Induced Epilepsy
5.6) A Markov Source Model of Seizure Progression