Quantitative EEG analysis using error reduction ratio-causality test; validation on simulated and real EEG data

[1]  Fei He,et al.  A new NARX-based Granger linear and nonlinear casual influence detection method with applications to EEG data , 2013, Journal of Neuroscience Methods.

[2]  S. Billings,et al.  Tracking time-varying causality and directionality of information flow using an error reduction ratio test with applications to electroencephalography data. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  Ingo Bojak,et al.  When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks , 2012, Front. Comput. Neurosci..

[4]  Hiroshi Shibasaki,et al.  Cortical activities associated with voluntary movements and involuntary movements , 2012, Clinical Neurophysiology.

[5]  Alexander Hramov,et al.  Spike–wave discharges in WAG/Rij rats are preceded by delta and theta precursor activity in cortex and thalamus , 2011, Clinical Neurophysiology.

[6]  G. Alarcón,et al.  EEG latency analysis for hemispheric lateralisation in Landau–Kleffner syndrome , 2011, Clinical Neurophysiology.

[7]  A. Nowicka,et al.  Transcallosal transfer of information and functional asymmetry of the human brain , 2011, Laterality.

[8]  J. P. Hamilton,et al.  Investigating neural primacy in Major Depressive Disorder: Multivariate granger causality analysis of resting-state fMRI time-series data , 2010, Molecular Psychiatry.

[9]  Evgenia Sitnikova,et al.  Thalamo-cortical mechanisms of sleep spindles and spike–wave discharges in rat model of absence epilepsy (a review) , 2010, Epilepsy Research.

[10]  Eugenio Rodriguez,et al.  Neural synchrony and the development of cortical networks , 2010, Trends in Cognitive Sciences.

[11]  W. Singer,et al.  Abnormal neural oscillations and synchrony in schizophrenia , 2010, Nature Reviews Neuroscience.

[12]  P. Ossenblok,et al.  Onset and propagation of spike and slow wave discharges in human absence epilepsy: A MEG study , 2009, Epilepsia.

[13]  Cheng Luo,et al.  EEG–fMRI study on the interictal and ictal generalized spike-wave discharges in patients with childhood absence epilepsy , 2009, Epilepsy Research.

[14]  J. R. Hughes,et al.  Absence seizures: A review of recent reports with new concepts , 2009, Epilepsy & Behavior.

[15]  Eugenio Rodriguez,et al.  The development of neural synchrony reflects late maturation and restructuring of functional networks in humans , 2009, Proceedings of the National Academy of Sciences.

[16]  I. Scheffer,et al.  EEG features of absence seizures in idiopathic generalized epilepsy: Impact of syndrome, age, and state , 2009, Epilepsia.

[17]  Evgenia Sitnikova,et al.  Electroencephalographic precursors of spike-wave discharges in a genetic rat model of absence epilepsy: Power spectrum and coherence EEG analyses , 2009, Epilepsy Research.

[18]  W. Singer,et al.  Neural Synchrony in Cortical Networks: History, Concept and Current Status , 2009, Front. Integr. Neurosci..

[19]  Leonardo L. Gollo,et al.  Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays , 2008, Proceedings of the National Academy of Sciences.

[20]  Vassilis Tsiaras,et al.  Assessment of neural dynamic coupling and causal interactions between independent EEG components from cognitive tasks using linear and nonlinear methods , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[21]  H. Siebner,et al.  Simultaneous EEG‐fMRI in drug‐naive children with newly diagnosed absence epilepsy , 2008, Epilepsia.

[22]  W. Singer,et al.  The role of oscillations and synchrony in cortical networks and their putative relevance for the pathophysiology of schizophrenia. , 2008, Schizophrenia bulletin.

[23]  Evgenia Sitnikova,et al.  Granger causality: Cortico-thalamic interdependencies during absence seizures in WAG/Rij rats , 2008, Journal of Neuroscience Methods.

[24]  Stephen A. Billings,et al.  An adaptive orthogonal search algorithm for model subset selection and non-linear system identification , 2008, Int. J. Control.

[25]  Clara D. Martin,et al.  ERP evidence for the split fovea theory , 2007, Brain Research.

[26]  Evgenia Sitnikova,et al.  Electroencephalographic Characterization of Spike‐Wave Discharges in Cortex and Thalamus in WAG/Rij Rats , 2007, Epilepsia.

[27]  Wolf Singer,et al.  What Do Disturbances in Neural Synchrony Tell Us About Autism? , 2007, Biological Psychiatry.

[28]  C. D. Binnie,et al.  Frontal and temporal functional connections of the living human brain , 2007, Clinical Neurophysiology.

[29]  W. Singer,et al.  Neural Synchrony in Brain Disorders: Relevance for Cognitive Dysfunctions and Pathophysiology , 2006, Neuron.

[30]  Evgenia Sitnikova,et al.  Cortical and thalamic coherence during spike–wave seizures in WAG/Rij rats , 2006, Epilepsy Research.

[31]  Régine Le Bouquin-Jeannès,et al.  Linear and nonlinear causality between signals: methods, examples and neurophysiological applications , 2006, Biological Cybernetics.

[32]  Lotfi Senhadji,et al.  Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  E. Houdayer,et al.  Neurophysiology of myoclonus , 2006, Neurophysiologie Clinique/Clinical Neurophysiology.

[34]  J. Régis,et al.  The role of corticothalamic coupling in human temporal lobe epilepsy. , 2006, Brain : a journal of neurology.

[35]  Raul Vicente,et al.  Zero-lag long-range synchronization via dynamical relaying. , 2006, Physical review letters.

[36]  F. Mormann,et al.  Improved spatial characterization of the epileptic brain by focusing on nonlinearity , 2006, Epilepsy Research.

[37]  Daniele Marinazzo,et al.  Nonlinear parametric model for Granger causality of time series , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[38]  G. Plazzi,et al.  Propriospinal myoclonus: A motor phenomenon found in restless legs syndrome different from periodic limb movements during sleep , 2005, Movement disorders : official journal of the Movement Disorder Society.

[39]  F. H. Lopes da Silva,et al.  Evolving concepts on the pathophysiology of absence seizures: the cortical focus theory. , 2005, Archives of neurology.

[40]  Mercedes Atienza,et al.  The Role of Neural Synchronization in the Emergence of Cognition Across the Wake-Sleep Cycle , 2005, Reviews in the neurosciences.

[41]  F. H. Lopes da Silva,et al.  Interdependence of EEG signals: Linear vs. nonlinear Associations and the significance of time delays and phase shifts , 2005, Brain Topography.

[42]  F. Wendling,et al.  Comparison of two estimators of time-frequency interdependencies between nonstationary signals: application to epileptic EEG , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[43]  J. Martinerie,et al.  Statistical assessment of nonlinear causality: application to epileptic EEG signals , 2003, Journal of Neuroscience Methods.

[44]  W. Hesse,et al.  The use of time-variant EEG Granger causality for inspecting directed interdependencies of neural assemblies , 2003, Journal of Neuroscience Methods.

[45]  F. Aboitiz,et al.  Long distance communication in the human brain: timing constraints for inter-hemispheric synchrony and the origin of brain lateralization. , 2003, Biological research.

[46]  W. Singer,et al.  Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.

[47]  W. Singer.  Consciousness and the Binding Problem , 2001, Annals of the New York Academy of Sciences.

[48]  W. Singer,et al.  Temporal binding and the neural correlates of sensory awareness , 2001, Trends in Cognitive Sciences.

[49]  João Paulo Silva Cunha,et al.  A new and fast nonlinear method for association analysis of biosignals , 2000, IEEE Transactions on Biomedical Engineering.

[50]  M. Hallett,et al.  Electrophysiological studies of myoclonus , 2000, Muscle & nerve.

[51]  W. van Emde Boas,et al.  Non-linear analysis of intracranial human EEG in temporal lobe epilepsy , 1999, Clinical Neurophysiology.

[52]  K Lehnertz,et al.  Non-linear time series analysis of intracranial EEG recordings in patients with epilepsy--an overview. , 1999, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[53]  C. N. Guy,et al.  Mechanisms involved in the propagation of interictal epileptiform discharges in partial epilepsy. , 1999, Electroencephalography and clinical neurophysiology. Supplement.

[54]  L D Iasemidis,et al.  Non-linearity in invasive EEG recordings from patients with temporal lobe epilepsy. , 1997, Electroencephalography and clinical neurophysiology.

[55]  C. Berger,et al.  [Generalized idiopathic epilepsy in older children and adolescents]. , 1994, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[56]  Patrice Y. Simard,et al.  Time is of the essence: a conjecture that hemispheric specialization arises from interhemispheric conduction delay. , 1994, Cerebral cortex.

[57]  T. Sejnowski,et al.  Thalamocortical oscillations in the sleeping and aroused brain. , 1993, Science.

[58]  J C Rothwell,et al.  Intrahemispheric and interhemispheric spread of cerebral cortical myoclonic activity and its relevance to epilepsy. , 1991, Brain : a journal of neurology.

[59]  F. H. Lopes da Silva,et al.  The role of hippocampal commissures in the interhemispheric transfer of epileptiform afterdischarges in the rat: a study using linear and non-linear regression analysis. , 1990, Electroencephalography and clinical neurophysiology.

[60]  V E Amassian,et al.  Comparison of human transcallosal responses evoked by magnetic coil and electrical stimulation. , 1989, Electroencephalography and clinical neurophysiology.

[61]  R. Davidson,et al.  Visual evoked potential measures of interhemispheric transfer time in humans. , 1989, Behavioral neuroscience.

[62]  Sheng Chen,et al.  Identification of non-linear output-affine systems using an orthogonal least-squares algorithm , 1988 .

[63]  C. Marsden,et al.  The spectrum of cortical myoclonus. From focal reflex jerks to spontaneous motor epilepsy. , 1985, Brain : a journal of neurology.

[64]  J. Fermaglich.  Electric Fields of the Brain: The Neurophysics of EEG , 1982 .

[65]  H. Shibasaki,et al.  Electroencephalographic studies of myoclonus. Myoclonus-related cortical spikes and high amplitude somatosensory evoked potentials , 1978 .

[66]  H. Shibasaki,et al.  Electroencephalographic studies myoclonus. , 1978, Brain : a journal of neurology.

[67]  C. Granger.  Investigating causal relations by econometric models and cross-spectral methods , 1969 .