Prediction of epilepsy seizure from multi-channel electroencephalogram by effective connectivity analysis using Granger causality and directed transfer function methods
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Prediction of epilepsy seizure from multi-channel electroencephalogram by effective connectivity analysis using Granger causality and directed transfer function methods
Authors
Keywords
-
Journal
Cognitive Neurodynamics
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-05-09
DOI
10.1007/s11571-019-09534-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Transition of brain networks from an interictal to a preictal state preceding a seizure revealed by scalp EEG network analysis
- (2019) Fali Li et al. Cognitive Neurodynamics
- Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter optimization approach
- (2018) Lal Hussain Cognitive Neurodynamics
- Seizure onset predicts its type
- (2018) Cristian Donos et al. EPILEPSIA
- Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram
- (2018) Nhan Duy Truong et al. NEURAL NETWORKS
- EEG source connectivity to localize the seizure onset zone in patients with drug resistant epilepsy
- (2017) Willeke Staljanssens et al. NeuroImage-Clinical
- Children with well controlled epilepsy possess different spatio-temporal patterns of causal network connectivity during a visual working memory task
- (2016) Foteini Protopapa et al. Cognitive Neurodynamics
- Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier
- (2016) S. Raghu et al. Cognitive Neurodynamics
- Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power
- (2016) Zisheng Zhang et al. IEEE Transactions on Biomedical Circuits and Systems
- Testing for Granger Causality in the Frequency Domain: A Phase Resampling Method
- (2016) Siwei Liu et al. MULTIVARIATE BEHAVIORAL RESEARCH
- Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery
- (2016) Sanqing Hu et al. IEEE Transactions on Neural Networks and Learning Systems
- Conditional Granger causality and partitioned Granger causality: differences and similarities
- (2015) Sheida Malekpour et al. BIOLOGICAL CYBERNETICS
- Epileptic seizure prediction using relative spectral power features
- (2015) Mojtaba Bandarabadi et al. CLINICAL NEUROPHYSIOLOGY
- Neural Connectivity in Epilepsy as Measured by Granger Causality
- (2015) Robert Coben et al. Frontiers in Human Neuroscience
- Investigating Driver Fatigue versus Alertness Using the Granger Causality Network
- (2015) Wanzeng Kong et al. SENSORS
- Extracting and Selecting Distinctive EEG Features for Efficient Epileptic Seizure Prediction
- (2015) Ning Wang et al. IEEE Journal of Biomedical and Health Informatics
- Sugihara causality analysis of scalp EEG for detection of early Alzheimer's disease
- (2015) Joseph C. McBride et al. NeuroImage-Clinical
- A low computation cost method for seizure prediction
- (2014) Yanli Zhang et al. EPILEPSY RESEARCH
- A Nonlinear Generalization of Spectral Granger Causality
- (2014) Fei He et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- An efficient seizure prediction method using KNN-based undersampling and linear frequency measures
- (2014) Peyvand Ghaderyan et al. JOURNAL OF NEUROSCIENCE METHODS
- Ictal propagation of high frequency activity is recapitulated in interictal recordings: Effective connectivity of epileptogenic networks recorded with intracranial EEG
- (2014) A. Korzeniewska et al. NEUROIMAGE
- Seizure prediction using statistical dispersion measures of intracranial EEG
- (2013) M. Bedeeuzzaman et al. Biomedical Signal Processing and Control
- Neural Network–Based Classification of Anesthesia/Awareness Using Granger Causality Features
- (2013) Nicoletta Nicolaou et al. CLINICAL EEG AND NEUROSCIENCE
- Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage
- (2012) M.J. Brookes et al. NEUROIMAGE
- The role of high-quality EEG databases in the improvement and assessment of seizure prediction methods
- (2011) Andreas Schulze-Bonhage et al. EPILEPSY & BEHAVIOR
- Granger causality relationships between local field potentials in an animal model of temporal lobe epilepsy
- (2010) Alex J. Cadotte et al. JOURNAL OF NEUROSCIENCE METHODS
- Classification of patterns of EEG synchronization for seizure prediction
- (2009) Piotr Mirowski et al. CLINICAL NEUROPHYSIOLOGY
- Dynamic Granger-Geweke causality modeling with application to interictal spike propagation
- (2009) Fa-Hsuan Lin et al. HUMAN BRAIN MAPPING
- Source connectivity analysis with MEG and EEG
- (2009) Jan-Mathijs Schoffelen et al. HUMAN BRAIN MAPPING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now