Neural mass model-based tracking of anesthetic brain states

[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 .