Neural mass model-based tracking of anesthetic brain states
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Tarmo Lipping | Levin Kuhlmann | Jonathan H. Manton | Dean R. Freestone | Bjorn Heyse | Hugo E.M. Vereecke | Michel M.R.F. Struys | David T.J. Liley | D. Liley | L. Kuhlmann | J. Manton | M. Struys | T. Lipping | B. Heyse | D. Freestone | H. Vereecke | Hugo E. M. Vereecke
[1] Tarmo Lipping,et al. Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring , 2017, IEEE Transactions on Biomedical Engineering.
[2] Michel Struys,et al. Comparisons of Electroencephalographically Derived Measures of Hypnosis and Antinociception in Response to Standardized Stimuli During Target-Controlled Propofol-Remifentanil Anesthesia , 2016, Anesthesia and analgesia.
[3] Karl J. Friston,et al. Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating , 2016, NeuroImage.
[4] G. Choe. Numerical Solution of Stochastic Differential Equations , 2016 .
[5] David T. J. Liley,et al. Evaluation of the brain anaesthesia response monitor during anaesthesia for cardiac surgery: a double-blind, randomised controlled trial using two doses of fentanyl , 2016, Journal of Clinical Monitoring and Computing.
[6] L. Kuhlmann,et al. Role of Multiple-Scale Modeling of Epilepsy in Seizure Forecasting , 2015, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[7] Ingo Bojak,et al. Emergence of spatially heterogeneous burst suppression in a neural field model of electrocortical activity , 2015, Front. Syst. Neurosci..
[8] Xiaojing Shen,et al. Posterior Cramér-Rao bounds for discrete-time nonlinear filtering with finitely correlated noises , 2015, 2015 34th Chinese Control Conference (CCC).
[9] Dragan Nesic,et al. Parameter and State Estimation of Nonlinear Systems Using a Multi-Observer Under the Supervisory Framework , 2014, IEEE Transactions on Automatic Control.
[10] Sean N. Brennan,et al. Observability and Controllability of Nonlinear Networks: The Role of Symmetry , 2013, Physical review. X.
[11] H. Behnam,et al. Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables , 2014, Cognitive Neurodynamics.
[12] David B. Grayden,et al. Estimation of effective connectivity via data-driven neural modeling , 2014, Front. Neurosci..
[13] Ciprian Catana,et al. Disruption of thalamic functional connectivity is a neural correlate of dexmedetomidine-induced unconsciousness , 2014, eLife.
[14] D. Liley,et al. Alterations in the Functional Connectivity of Frontal Lobe Networks Preceding Emergence Delirium in Children , 2014, Anesthesiology.
[15] Axel Hutt,et al. Study of GABAergic extra-synaptic tonic inhibition in single neurons and neural populations by traversing neural scales: application to propofol-induced anaesthesia , 2014, Journal of Computational Neuroscience.
[16] S. Kettner. Not too little, not too much: delivering the right amount of anaesthesia during surgery. , 2014, The Cochrane database of systematic reviews.
[17] Yodying Punjasawadwong,et al. Bispectral index for improving anaesthetic delivery and postoperative recovery. , 2014, The Cochrane database of systematic reviews.
[18] Iven M. Y. Mareels,et al. Observability limits for networked oscillators , 2014, Autom..
[19] Matthias Kreuzer,et al. Monitoring Depth of Anesthesia Utilizing a Combination of Electroencephalographic and Standard Measures , 2014, Anesthesiology.
[20] Thomas R. Knösche. Jansen-Rit Model , 2014, Encyclopedia of Computational Neuroscience.
[21] David T. J. Liley,et al. Neural Population Model , 2014, Encyclopedia of Computational Neuroscience.
[22] Bernhard Hemmer,et al. Simultaneous Electroencephalographic and Functional Magnetic Resonance Imaging Indicate Impaired Cortical Top–Down Processing in Association with Anesthetic-induced Unconsciousness , 2013, Anesthesiology.
[23] N. Akaike,et al. Effects of propofol on GABAergic and glutamatergic transmission in isolated hippocampal single nerve-synapse preparations. , 2013, European journal of pharmacology.
[24] Xian Liu,et al. Parameter estimation and control for a neural mass model based on the unscented Kalman filter. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] Hamid Behnam,et al. Monitoring the depth of anesthesia using entropy features and an artificial neural network , 2013, Journal of Neuroscience Methods.
[26] Dragan Nesic,et al. A neural mass model of spontaneous burst suppression and epileptic seizures , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[27] UnCheol Lee,et al. Disruption of Frontal–Parietal Communication by Ketamine, Propofol, and Sevoflurane , 2013, Anesthesiology.
[28] Emery N. Brown,et al. Electroencephalogram signatures of loss and recovery of consciousness from propofol , 2013, Proceedings of the National Academy of Sciences.
[29] Karl J. Friston,et al. Neural masses and fields in dynamic causal modeling , 2013, Front. Comput. Neurosci..
[30] Levin Kuhlmann,et al. Modulation of Functional EEG Networks by the NMDA Antagonist Nitrous Oxide , 2013, PloS one.
[31] Axel Hutt,et al. The anesthetic propofol shifts the frequency of maximum spectral power in EEG during general anesthesia: analytical insights from a linear model , 2013, Front. Comput. Neurosci..
[32] David B. Grayden,et al. Patient-specific neural mass modeling - stochastic and deterministic methods , 2013 .
[33] Dragan Nesic,et al. Parameter and state estimation for a class of neural mass models , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[34] Laura D. Lewis,et al. Rapid fragmentation of neuronal networks at the onset of propofol-induced unconsciousness , 2012, Proceedings of the National Academy of Sciences.
[35] Dragan Nesic,et al. A robust circle criterion observer with application to neural mass models , 2012, Autom..
[36] George A. Mashour,et al. Prevention of Intraoperative Awareness with Explicit Recall in an Unselected Surgical Population: A Randomized Comparative Effectiveness Trial , 2012, Anesthesiology.
[37] Rikkert Hindriks,et al. Meanfield modeling of propofol-induced changes in spontaneous EEG rhythms , 2012, NeuroImage.
[38] Romain Postoyan,et al. Estimating the unmeasured membrane potential of neuronal populations from the EEG using a class of deterministic nonlinear filters , 2012, Journal of neural engineering.
[39] D. Alistair Steyn-Ross,et al. Gap junctions modulate seizures in a mean-field model of general anesthesia for the cortex , 2012, Cognitive Neurodynamics.
[40] Karl J. Friston,et al. Dynamic Causal Models and Physiological Inference: A Validation Study Using Isoflurane Anaesthesia in Rodents , 2011, PloS one.
[41] Brett L Foster,et al. Nitrous Oxide Paradoxically Modulates Slow Electroencephalogram Oscillations: Implications for Anesthesia Monitoring , 2011, Anesthesia and analgesia.
[42] Federico Frascoli,et al. Complex dynamics for a reduced model of human EEG: implications for the physiological basis of brain activity , 2011, BMC Neuroscience.
[43] D R Freestone,et al. A data-driven framework for neural field modeling , 2011, NeuroImage.
[44] Emery N. Brown,et al. Tracking brain states under general anesthesia by using global coherence analysis , 2011, Proceedings of the National Academy of Sciences.
[45] H. Qian,et al. Potentiating action of propofol at GABAA receptors of retinal bipolar cells. , 2011, Investigative ophthalmology & visual science.
[46] Matthew Barton,et al. Kalman-filter-based EEG source localization , 2011 .
[47] J. Sleigh,et al. Prevention of intraoperative awareness. , 2011, The New England journal of medicine.
[48] Dragan Nesic,et al. A nonlinear estimator for the activity of neuronal populations in the hippocampus , 2011 .
[49] E. Brown,et al. Thalamocortical model for a propofol-induced α-rhythm associated with loss of consciousness , 2010, Proceedings of the National Academy of Sciences.
[50] Andreas Spiegler,et al. Bifurcation Analysis of Neural Mass Models , 2010 .
[51] Tarmo Lipping,et al. Propofol and Remifentanil Differentially Modulate Frontal Electroencephalographic Activity , 2010, Anesthesiology.
[52] Andrew Jenkins,et al. General Anesthetic Actions on GABAA Receptors , 2010, Current neuropharmacology.
[53] George A Mashour,et al. Processed electroencephalogram in depth of anesthesia monitoring , 2009, Current opinion in anaesthesiology.
[54] B. Antkowiak,et al. Distinct actions of etomidate and propofol at β3-containing γ-aminobutyric acid type A receptors , 2009, Neuropharmacology.
[55] Karl J. Friston,et al. Dynamic causal modeling for EEG and MEG , 2009, Human brain mapping.
[56] Xin Wang. Propofol and Isoflurane Enhancement of Tonic Gamma-Aminobutyric Acid Type A Current in Cardiac Vagal Neurons in the Nucleus Ambiguus , 2009, Anesthesia and analgesia.
[57] M. Bruynooghe,et al. Best Practice & Research Clinical Anaesthesiology , 2009 .
[58] Hugh F. Durrant-Whyte,et al. Evaluating the Performance of Kalman-Filter-Based EEG Source Localization , 2009, IEEE Transactions on Biomedical Engineering.
[59] Emery N Brown,et al. Potential Network Mechanisms Mediating Electroencephalographic Beta Rhythm Changes during Propofol-Induced Paradoxical Excitation , 2008, The Journal of Neuroscience.
[60] Gudrun Stockmanns,et al. Electroencephalographic Order Pattern Analysis for the Separation of Consciousness and Unconsciousness: An Analysis of Approximate Entropy, Permutation Entropy, Recurrence Rate, and Phase Coupling of Order Recurrence Plots , 2008, Anesthesiology.
[61] J. Sleigh,et al. Permutation entropy of the electroencephalogram: a measure of anaesthetic drug effect. , 2008, British journal of anaesthesia.
[62] David T. J. Liley,et al. Dissociating the effects of nitrous oxide on brain electrical activity using fixed order time series modeling , 2008, Comput. Biol. Medicine.
[63] Karl J. Friston,et al. The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields , 2008, PLoS Comput. Biol..
[64] J. Sleigh,et al. Monitoring consciousness: the current status of EEG-based depth of anaesthesia monitors. , 2007, Best practice & research. Clinical anaesthesiology.
[65] M. Struys,et al. Behavior of Entropy/Complexity Measures of the Electroencephalogram during Propofol-induced Sedation: Dose-dependent Effects of Remifentanil , 2007, Anesthesiology.
[66] Piet M. T. Broersen,et al. Automatic Autocorrelation and Spectral Analysis , 2006 .
[67] Gudrun Stockmanns,et al. EEG parameters and their combination as indicators of depth of anaesthesia / EEG-Parameter und deren Kombination für das Narkosemonitoring , 2006, Biomedizinische Technik. Biomedical engineering.
[68] J. Bruhn,et al. Depth of anaesthesia monitoring: what's available, what's validated and what's next? , 2006, British journal of anaesthesia.
[69] D. Simon. Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches , 2006 .
[70] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[71] Karl J. Friston,et al. Dynamic causal modeling of evoked responses in EEG and MEG , 2006, NeuroImage.
[72] Guy Albert Dumont,et al. Quantifying cortical activity during general anesthesia using wavelet analysis , 2006, IEEE Transactions on Biomedical Engineering.
[73] Kazuyoshi Hirota,et al. Special cases: ketamine, nitrous oxide and xenon. , 2006, Best practice & research. Clinical anaesthesiology.
[74] E. Harth,et al. Electric Fields of the Brain: The Neurophysics of Eeg , 2005 .
[75] D. Liley,et al. Modeling the effects of anesthesia on the electroencephalogram. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[76] S. Ying,et al. Propofol suppresses synaptic responsiveness of somatosensory relay neurons to excitatory input by potentiating GABAA receptor chloride channels , 2005, Molecular pain.
[77] B. Schack,et al. Dynamic power and coherence analysis of ultra short-term cognitive processes — A methodical study , 2005, Brain Topography.
[78] R. Macdonald,et al. Multiple Actions of Propofol on αβγ and αβδ GABAA Receptors , 2004, Molecular Pharmacology.
[79] Tohru Ozaki,et al. A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering , 2004, NeuroImage.
[80] M. Bieda,et al. Major role for tonic GABAA conductances in anesthetic suppression of intrinsic neuronal excitability. , 2004, Journal of neurophysiology.
[81] B. Antkowiak,et al. Molecular and neuronal substrates for general anaesthetics , 2004, Nature Reviews Neuroscience.
[82] K. Leslie,et al. For Personal Use. Only Reproduce with Permission from the Lancet , 2022 .
[83] David Mendelowitz,et al. Propofol Modulates γ-Aminobutyric Acid–mediated Inhibitory Neurotransmission to Cardiac Vagal Neurons in the Nucleus Ambiguus , 2004, Anesthesiology.
[84] Ben H. Jansen,et al. Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns , 1995, Biological Cybernetics.
[85] T. Narahashi,et al. Effects of Halothane and Propofol on Excitatory and Inhibitory Synaptic Transmission in Rat Cortical Neurons , 2003, Journal of Pharmacology and Experimental Therapeutics.
[86] Tian-Le Xu,et al. The actions of propofol on γ-aminobutyric acid-A and glycine receptors in acutely dissociated spinal dorsal horn neurons of the rat , 2002 .
[87] Piet M. T. Broersen,et al. Automatic spectral analysis with time series models , 2002, IEEE Trans. Instrum. Meas..
[88] J. Bellanger,et al. Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition , 2002, The European journal of neuroscience.
[89] N. T. Smith,et al. Performance of the ARX-derived Auditory Evoked Potential Index as an Indicator of Anesthetic Depth: A Comparison with Bispectral Index and Hemodynamic Measures during Propofol Administration , 2002, Anesthesiology.
[90] U. Rudolph,et al. Molecular determinants for the action of general anesthetics at recombinant α2β3γ2γ‐aminobutyric acidA receptors , 2002, Journal of neurochemistry.
[91] Mathew P. Dafilis,et al. A spatially continuous mean field theory of electrocortical activity , 2002, Network.
[92] Peter J. Bickel,et al. The Earth Mover's distance is the Mallows distance: some insights from statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[93] B. Orser,et al. Distinct functional and pharmacological properties of tonic and quantal inhibitory postsynaptic currents mediated by gamma-aminobutyric acid(A) receptors in hippocampal neurons. , 2001, Molecular pharmacology.
[94] C. Rosow,et al. Bispectral index monitoring. , 2001, Anesthesiology clinics of North America.
[95] I. Kissin,et al. Depth of Anesthesia and Bispectral Index Monitoring , 2000, Anesthesia and analgesia.
[96] B. Orser,et al. The General Anesthetic Propofol Slows Deactivation and Desensitization of GABAA Receptors , 1999, The Journal of Neuroscience.
[97] S L Shafer,et al. The influence of age on propofol pharmacodynamics. , 1999, Anesthesiology.
[98] H. Jasper,et al. The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.
[99] S. Shafer,et al. The Influence of Method of Administration and Covariates on the Pharmacokinetics of Propofol in Adult Volunteers , 1998, Anesthesiology.
[100] Carlos H. Muravchik,et al. Posterior Cramer-Rao bounds for discrete-time nonlinear filtering , 1998, IEEE Trans. Signal Process..
[101] N L Harrison,et al. Propofol and other intravenous anesthetics have sites of action on the gamma-aminobutyric acid type A receptor distinct from that for isoflurane. , 1998, Molecular pharmacology.
[102] P. Agostino Accardo,et al. Use of the fractal dimension for the analysis of electroencephalographic time series , 1997, Biological Cybernetics.
[103] S. Tseng,et al. Evaluation of parametric methods in EEG signal analysis. , 1995, Medical engineering & physics.
[104] Jianhua Lin,et al. Divergence measures based on the Shannon entropy , 1991, IEEE Trans. Inf. Theory.
[105] D. Chernik,et al. Validity and Reliability of the Observer's: Assessment of Alertness/Sedation Scale Study with Intravenous Midazolam , 1990, Journal of clinical psychopharmacology.
[106] G. Collins. Effects of the anaesthetic 2,6‐diisopropylphenol on synaptic transmission in the rat olfactory cortex slice , 1988, British journal of pharmacology.
[107] T. Higuchi. Approach to an irregular time series on the basis of the fractal theory , 1988 .
[108] G. Box,et al. On a measure of lack of fit in time series models , 1978 .
[109] A. Krener,et al. Nonlinear controllability and observability , 1977 .
[110] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[111] P. Kloeden,et al. Numerical Solution of Stochastic Differential Equations , 1992 .
[112] D. Darling,et al. A Test of Goodness of Fit , 1954 .