Normal brain rhythms and the transition to epileptic activity
|
|
- Mercy McCarthy
- 5 years ago
- Views:
Transcription
1 School on Modelling, Automation and Control of Physiological variables at the Faculty of Science, University of Porto 2-3 May, 2007 Topics on Biomedical Systems Modelling: transition to epileptic activity Fernando Lopes da Silva The case of the brain rhythm in the alpha (8-12 Hz) frequency range appearing over the somatosensory cortex: the mu rhythm Center of Neuroscience Swammerdam Institute for Life Sciences University of Amsterdam One interesting property of the Alpha rhythm of the somatosensory cortex (Mu rhythm) is that it is modulated by movements of the hands: It is attenuated, desynchronized alpha (ERD), by moving the hands, and it is enhanced at rest (synchronized alpha or ERS) Power changes in the Apha (Mu rhythm) and Beta frequency ranges ERD and ERS Depending on whether the hand or the foot is moved, the spatio-temporal pattern differs; the patterns of both conditions appear as mirror images. Two questions put to the theoreticians or modelers: 1. How is the Alpha rhythmic activity generated? 2. How can the mirror images of the spatio-temporal patterns of ERD/ERS associated with hand or foot movements be accounted for?
2 Basic neuronal network responsible for rhythmic activities in thalamo-cortical circuits Computational model of the thalamocortical neuronal networks Steriade 1999 Basic equations of the model (1) Time evolution of the neuronal membrane potential: Synaptic currents Synaptic conductances are modeled by convolving firing rate frequency with synaptic impulse response Nonlinear GABA-B synaptic response Nonlinearity is realized by a sigmoidal function of the form: The model was realized using the Simulink toolbox of Math Works. Simulations were run using the ode3 integration method with a time step of 1 millisecond duration. Postprocessing was done using Matlab. Transfer between firing rate and membrane potential Basic equations of the model (2) Transfer function for the burst firing mode Where G B is the maximal firing rate within a burst, variables n inf (V) and m inf (V) are static sigmoidal functions that describe the fractions of neurons that are deinactivated or activated, respectively. Expressions (9) and (10) describe the time delay of I T inactivation.
3 Model scheme This result is an answer to question # 1: How is the Alpha rhythmic activity generated? pyramidal cells population interneuronal population thalamocortical cells population thalamic RE cells population external inputs burst generation process SEIN, 2003 Thalamocortical network pyramidal cell GABAergic interneuron But we have to consider also the second question: 2. How can the mirror images of the spatiotemporal patterns of ERD/ERS associated with hand or foot movements be accounted for? Thalamic Reticular Nucleus Thalamocortical Relay Nucleus thalamic reticular (RE) neuron thalamocortical (TC) neuron Extracellular activity of a RE neuron (yellow) and cortical field potential (green) recorded in the GAERS during a spike and wave discharge downloaded from Crunelli Research Group: www. thalamus.org.uk Medical Physics Department Excitation Inhibition In both TC and RE cells burst firing is provided SEIN, 2003 by I T calcium current ERS ERD This result means that the mechanism of recurrent inhibition between neighboring thalamo-cortical modules can account for the mirror images of the spatio-temporal patterns of ERD/ERS elicited by hand or foot movements, respectively.
4 How can this transition to epileptic activity take place? How does the transition to epileptic activity take place? We have to examine how this occurs in patients and in animal models The WAG/Rij rat as model for absences seizures (Gilles van Luijtelaar and Ton Coenen) EEG and Video during an epileptic absence ( petit mal )! genetic model.! no neurological defects.! absences are characterized by behavioral arrest and spike and wave discharges (SWDs) in the EEG.! pharmacological responses is similar to that of patients with absences. Spontaneous absence: Patient is requested to press a button immediately after a technician did the same. These observations indicate that neuronal networks can display qualitatively different dynamical states. This is likely to be due to the fact that these neuronal networks are complex non-linear systems: Such networks may display complex dynamics with more than one stable state; in this case: " A normal on-going steady-state, and " An oscillatory epileptiform, or paroxysmal state. This is what happens in epilepsy.
5 Ca 2+ T-channel GABA A & B Computer model of a thalamocortical network capable of displaying a bifurcation betweem two states, (i) a normal oscillatory state, and (ii) a paroxystic seizure state. On-going state- model Spindle - rat Simulation example Simulated epoch Power spectra Paroxysmal state - model Paroxysm - rat This is evidence for bi-stability: one network two stable states Example of a bifurcation between two states: normal & seizure (absence type), both in the model and in EEG real signals. Sensitivity of the Model to a set of parameters Occurrence of transition to epileptic seizure mode: parameter sensitivity Phase portraits of the system under non epileptic and epileptic conditions
6 What are the predictions of the model with respect to the dynamics of absence seizures? " One prediction is that for this kind of seizures the transition occurs randomly; " A second prediction is that it should be possible to stimulate the system in such a way that the transition to the seizure mode may be aborted. This implies that it should be possible to control the system s behavior. The 1st prediction was tested by calculating the distributions of durations and of intervals inter-paroxysms. Distribution of Durations either of paroxysmal events or of interparoxysmal events Distributions of epochs duration - comparison of simulated and rat (WAG/Rij) experimental data In common language: Termination of a process is random in time with constant probability simple calculation Prediction Exponential distribution of process durations In math language: Probability of termination in unit time : p Probability of survival of unit time : 1- p P(t) = (1-p)(1-p).(1-p)p 1 - p = e -!! p = 1 - e -! P(t) = (1 - e -! )e -!t e -! " 1 -! P(t) =!e -!t Number of processes!e -!t log time Process duration Medical Physics Department SEIN, 2003 Medical Physics Department SEIN, 2003 Quasi- exponential (a ~ 1) distribution of SWDs in rat (WAG/Rij) Quasi-exponential distribution of duration of 3 Hz paroxysms in a patient with absence nonconvulsive seizures during the night
7 Gamma distribution of SWDs duration of GAER rats But. Does it hold in all similar cases? Not exactly. " # 1 # x /! y = Cx e Thus, what do we have to modify in the model? It is necessary to include a use-dependent parameter, i.e. a parameter that changes as a seizure progresses. New hypothesis to be tested: K+ accumulation occurs in the course of SWD in glial cells affecting the excitability of neurons., y = Cx e " # 1 # x /! Real EEG signals Neuronal networks Statistics/ Dynamics Signal analysis The second prediction is that it should be possible to control the occurrence or the evolution of a seizure by means of counterstimulation. Models/Simulated EEGs Statistics/ Dynamics Indeed in bistable systems a limit cycle may be annihilated by a perturbation applied at the appropriate time.
8 Counter-stimulation is capable of annihilating the transition to the paroxysmal oscillation Negative stimulus Positive stimulus Collaborators from the Institute of Epilepsy SEIN ( Meer en Bosch, Heemstede) and MEG Center (Free University, Amsterdam): Stiliyan Kalitzin, Piotr Suffczynski Jaime Parra. Dimitri Velis. Wouter Blanes. Elan Ohayon Fernando Lopes da Silva Suffczynski P, Lopes da Silva FH, Parra J, Velis DN, Bouwman BM, van Rijn CM, van Hese P, Boon P, Khosravani H, Derchansky M, Carlen P, Kalitzin S. Dynamics of epileptic phenomena determined from statistics of ictal transitions. IEEE Trans Biomed Eng Mar;53(3): Suffczynski P, Lopes da Silva F, Parra J, Velis D, Kalitzin S. Epileptic transitions: model predictions and experimental validation. J Clin Neurophysiol Oct;22(5): Suffczynski P, Kalitzin S, Lopes da Silva FH. Dynamics of non-convulsive epileptic phenomena modeled by a bistable neuronal network. Neuroscience. 2004;126(2): Lopes da Silva F, Blanes W, Kalitzin SN, Parra J, Suffczynski P, Velis DN. Epilepsies as dynamical diseases of brain systems: basic models of the transition between normal and epileptic activity. Epilepsia. 2003;44 Suppl 12: Lopes da Silva FH, Blanes W, Kalitzin SN, Parra J, Suffczynski P, Velis DN. Dynamical diseases of brain systems: different routes to epileptic seizures. IEEE Trans Biomed Eng May;50(5): Suffczynski P, Kalitzin S, Pfurtscheller G, Lopes da Silva FH. Computational model of thalamo-cortical networks: dynamical control of alpha rhythms in relation to focal attention. Int J Psychophysiol Dec;43(1): Thalamo-cortical networks possess bi-stability. In Phase-space: the normal steady-state is within the separatrix ( ), the complex oscillatory (paroxysmal) state is outside.
DYNAMICS OF NON-CONVULSIVE EPILEPTIC PHENOMENA MODELED BY A BISTABLE NEURONAL NETWORK
Neuroscience 126 (24) 467 484 DYNAMICS OF NON-CONVULSIVE EPILEPTIC PHENOMENA MODELED BY A BISTABLE NEURONAL NETWORK P. SUFFCZYNSKI, a,b * S. KALITZIN a AND F. H. LOPES DA SILVA a,c a Stichting Epilepsie
More informationBasic Mechanism for Generation of Brain Rhythms
203 Continuing Medical Education Basic Mechanism for Generation of Brain Rhythms Wei-Hung Chen Abstract- Study of the basic mechanism of brain rhythms adds to our understanding of the underlying processes
More informationDynamical Diseases of Brain Systems: Different Routes to Epileptic Seizures
540 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 50, NO. 5, MAY 2003 Dynamical Diseases of Brain Systems: Different Routes to Epileptic Seizures Fernando H. Lopes da Silva, Wouter Blanes, Stiliyan
More informationIEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE 1. A model of stimulus induced epileptic spike-wave discharges
IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE 1 A model of stimulus induced epileptic spike-wave discharges Peter N. Taylor, Gerold Baier, Sydney S. Cash, Justin Dauwels, Jean-Jacques Slotine, Yujiang
More informationThe connection between sleep spindles and epilepsy in a spatially extended neural field model
The connection between sleep spindles and epilepsy in a spatially extended neural field model 1 2 3 Carolina M. S. Lidstrom Undergraduate in Bioengineering UCSD clidstro@ucsd.edu 4 5 6 7 8 9 10 11 12 13
More informationEpilepsies as Dynamical Diseases of Brain Systems: Basic Models of the Transition Between Normal and Epileptic Activity
Epilepsia, 44(Suppl. 12):72 83, 2003 Blackwell Publishing, Inc. C International League Against Epilepsy Epilepsies as Dynamical Diseases of Brain Systems: Basic Models of the Transition Between Normal
More informationIntroduction to EEG del Campo. Introduction to EEG. J.C. Martin del Campo, MD, FRCP University Health Network Toronto, Canada
Introduction to EEG J.C. Martin, MD, FRCP University Health Network Toronto, Canada What is EEG? A graphic representation of the difference in voltage between two different cerebral locations plotted over
More informationFour main theories on the pathophysiology of generalized absence seizures have been
NEUROLOGICAL REVIEW Evolving Concepts on the Pathophysiology of Absence Seizures The Cortical Focus Theory Hanneke Meeren, PhD; Gilles van Luijtelaar, PhD; Fernando Lopes da Silva, MD; Anton Coenen, PhD
More informationEmbryological origin of thalamus
diencephalon Embryological origin of thalamus The diencephalon gives rise to the: Thalamus Epithalamus (pineal gland, habenula, paraventricular n.) Hypothalamus Subthalamus (Subthalamic nuclei) The Thalamus:
More informationReciprocal inhibition controls the oscillatory state in thalamic networks
Neurocomputing 44 46 (2002) 653 659 www.elsevier.com/locate/neucom Reciprocal inhibition controls the oscillatory state in thalamic networks Vikaas S. Sohal, John R. Huguenard Department of Neurology and
More informationEffects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations
Effects of Inhibitory Synaptic Current Parameters on Thalamocortical Oscillations 1 2 3 4 5 Scott Cole Richard Gao Neurosciences Graduate Program Department of Cognitive Science University of California,
More informationEpileptic Rhythms. Gerold Baier. Manchester Interdisciplinary Biocentre
Epileptic Rhythms Gerold Baier Manchester Interdisciplinary Biocentre Absence Seizure 10 seconds The ElectroEnzephaloGram Time-Continuous recording of Voltage Neurophysiologic basis of the signals Prominent
More informationNeuroscience of Consciousness I
1 C83MAB: Mind and Brain Neuroscience of Consciousness I Tobias Bast, School of Psychology, University of Nottingham 2 What is consciousness? 3 Consciousness State of consciousness - Being awake/alert/attentive/responsive
More informationSpectral Analysis of EEG Patterns in Normal Adults
Spectral Analysis of EEG Patterns in Normal Adults Kyoung Gyu Choi, M.D., Ph.D. Department of Neurology, Ewha Medical Research Center, Ewha Womans University Medical College, Background: Recently, the
More informationThalamic short-term plasticity and its impact on the neocortex. Frangois Grenier, Igor Timofeev, Mircea Steriade*
ELSEVIER Thalamus & Related Systems 1 (2002) 331-340 Thalamus & Related Systems www.elsevier.com/locate/tharel Thalamic short-term plasticity and its impact on the neocortex Frangois Grenier, Igor Timofeev,
More informationHHS Public Access Author manuscript Nat Neurosci. Author manuscript; available in PMC 2014 September 19.
Selective optical drive of thalamic reticular nucleus generates thalamic bursts & cortical spindles Michael M. Halassa 1,2,4, Joshua H. Siegle 2,4, Jason T. Ritt 3, Jonathan T. Ting 2, Guoping Feng 2,
More informationWhat do you notice? Edited from
What do you notice? Edited from https://www.youtube.com/watch?v=ffayobzdtc8&t=83s How can a one brain region increase the likelihood of eliciting a spike in another brain region? Communication through
More informationIntroduction to Computational Neuroscience
Introduction to Computational Neuroscience Lecture 7: Network models Lesson Title 1 Introduction 2 Structure and Function of the NS 3 Windows to the Brain 4 Data analysis 5 Data analysis II 6 Single neuron
More informationSynaptic excitation of principal cells in the cat's lateral geniculate nucleus during focal epileptic seizures in the visual cortex
Synaptic excitation of principal cells in the cat's lateral geniculate nucleus during focal epileptic seizures in the visual cortex Andrzej wr6be11, Anders ~ edstr~m~ and Sivert ~indstrsm~ 'Department
More informationAntiepileptic agents
Antiepileptic agents Excessive excitability of neurons in the CNS Abnormal function of ion channels Spread through neural networks Abnormal neural activity leads to abnormal motor activity Suppression
More informationSimilarities between deep slow wave sleep and absence epilepsy
Similarities between deep slow wave sleep and absence epilepsy A.M.L. COENEN NICI, DEPARTMENT OF PSYCHOLOGY UNIVERSITY OF NIJMEGEN P.O. BOX 9104 6500 HE NIJMEGEN THE NETHERLANDS Prologue Deep slow wave
More informationOscillations: From Neuron to MEG
Oscillations: From Neuron to MEG Educational Symposium, MEG UK 2014, Nottingham, Jan 8th 2014 Krish Singh CUBRIC, School of Psychology Cardiff University What are we trying to achieve? Bridge the gap from
More information*Pathophysiology of. Epilepsy
*Pathophysiology of Epilepsy *Objectives * At the end of this lecture the students should be able to:- 1.Define Epilepsy 2.Etio-pathology of Epilepsy 3.Types of Epilepsy 4.Role of Genetic in Epilepsy 5.Clinical
More informationThe Sonification of Human EEG and other Biomedical Data. Part 3
The Sonification of Human EEG and other Biomedical Data Part 3 The Human EEG A data source for the sonification of cerebral dynamics The Human EEG - Outline Electric brain signals Continuous recording
More informationSimultaneous Real-Time Detection of Motor Imagery and Error-Related Potentials for Improved BCI Accuracy
Simultaneous Real-Time Detection of Motor Imagery and Error-Related Potentials for Improved BCI Accuracy P. W. Ferrez 1,2 and J. del R. Millán 1,2 1 IDIAP Research Institute, Martigny, Switzerland 2 Ecole
More informationNeurophysiology & EEG
Neurophysiology & EEG PG4 Core Curriculum Ian A. Cook, M.D. Associate Director, Laboratory of Brain, Behavior, & Pharmacology UCLA Department of Psychiatry & Biobehavioral Sciences Semel Institute for
More informationIntracranial Studies Of Human Epilepsy In A Surgical Setting
Intracranial Studies Of Human Epilepsy In A Surgical Setting Department of Neurology David Geffen School of Medicine at UCLA Presentation Goals Epilepsy and seizures Basics of the electroencephalogram
More informationElsevier Editorial System(tm) for NeuroImage Manuscript Draft
Elsevier Editorial System(tm) for NeuroImage Manuscript Draft Manuscript Number: NIMG-10-1885R2 Title: Intermittent spike-wave dynamics in a heterogeneous, spatially extended neural mass model Article
More informationSupplementary Figure 2. Inter discharge intervals are consistent across electrophysiological scales and are related to seizure stage.
Supplementary Figure 1. Progression of seizure activity recorded from a microelectrode array that was not recruited into the ictal core. (a) Raw LFP traces recorded from a single microelectrode during
More informationNovel single trial movement classification based on temporal dynamics of EEG
Novel single trial movement classification based on temporal dynamics of EEG Conference or Workshop Item Accepted Version Wairagkar, M., Daly, I., Hayashi, Y. and Nasuto, S. (2014) Novel single trial movement
More informationInhibition: Effects of Timing, Time Scales and Gap Junctions
Inhibition: Effects of Timing, Time Scales and Gap Junctions I. Auditory brain stem neurons and subthreshold integ n. Fast, precise (feed forward) inhibition shapes ITD tuning. Facilitating effects of
More informationHow Deactivating an Inhibitor Causes Absence Epilepsy: Validation of a Noble Lie
Current Literature In Basic Science How Deactivating an Inhibitor Causes Absence Epilepsy: Validation of a Noble Lie A New Mode of Corticothalamic Transmission Revealed in the Gria4 / Model of Absence
More informationDepartment of Dynamics and Control, Beihang University, Beijing, China
ORIGINAL RESEARCH published: 05 April 2016 doi: 10.3389/fncom.2016.00028 Disinhibition-Induced Delayed Onset of Epileptic Spike-Wave Discharges in a Five Variable Model of Cortex and Thalamus SuyuLiu,QingyunWang*andDengguiFan
More informationBursting dynamics in the brain. Jaeseung Jeong, Department of Biosystems, KAIST
Bursting dynamics in the brain Jaeseung Jeong, Department of Biosystems, KAIST Tonic and phasic activity A neuron is said to exhibit a tonic activity when it fires a series of single action potentials
More informationUsing Multi-electrode Array Recordings to detect unrecognized electrical events in epilepsy
Using Multi-electrode Array Recordings to detect unrecognized electrical events in epilepsy December 1, 2012 Catherine Schevon, MD, PhD Columbia University New York, NY American Epilepsy Society Annual
More informationSleep-Wake Cycle I Brain Rhythms. Reading: BCP Chapter 19
Sleep-Wake Cycle I Brain Rhythms Reading: BCP Chapter 19 Brain Rhythms and Sleep Earth has a rhythmic environment. For example, day and night cycle back and forth, tides ebb and flow and temperature varies
More informationMechanisms of cortical trauma induced epileptogenesis and seizures
Research Signpost 37/661 (2), Fort P.O., Trivandrum-695 023, Kerala, India Recent Res. Devel. Physiol., 3(2005): ISBN: 81-308-0069-1 Mechanisms of cortical trauma induced epileptogenesis and seizures Igor
More informationThis article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution
More informationEEG in Medical Practice
EEG in Medical Practice Dr. Md. Mahmudur Rahman Siddiqui MBBS, FCPS, FACP, FCCP Associate Professor, Dept. of Medicine Anwer Khan Modern Medical College What is the EEG? The brain normally produces tiny
More informationThe Role of Mitral Cells in State Dependent Olfactory Responses. Trygve Bakken & Gunnar Poplawski
The Role of Mitral Cells in State Dependent Olfactory Responses Trygve akken & Gunnar Poplawski GGN 260 Neurodynamics Winter 2008 bstract Many behavioral studies have shown a reduced responsiveness to
More informationFunctional reorganization in thalamocortical networks: Transition between spindling and delta sleep rhythms
Proc. Natl. Acad. Sci. USA Vol. 93, pp. 15417 15422, December 1996 Neurobiology Functional reorganization in thalamocortical networks: Transition between spindling and delta sleep rhythms D. TERMAN*, A.BOSE*,
More informationSeizure: the clinical manifestation of an abnormal and excessive excitation and synchronization of a population of cortical
Are There Sharing Mechanisms of Epilepsy, Migraine and Neuropathic Pain? Chin-Wei Huang, MD, PhD Department of Neurology, NCKUH Basic mechanisms underlying seizures and epilepsy Seizure: the clinical manifestation
More informationInterictal epileptiform discharges and phasic phenomena of REM sleep
Original article Epileptic Disord 2010; 12 (3): 217-21 Interictal epileptiform discharges and phasic phenomena of REM sleep Petr Busek, Jitka Buskova, Sona Nevsimalova Department of Neurology, 1 st Faculty
More informationMultiscale Evidence of Multiscale Brain Communication
Multiscale Evidence of Multiscale Brain Communication Scott Makeig Swartz Center for Computational Neuroscience Institute for Neural Computation University of California San Diego La Jolla CA Talk given
More informationIntroduction to the EEG technique
Introduction to the EEG technique Part 1: neural origins of the EEG Niko Busch Charité University Medicine Berlin The History of the EEG 18th cent. Physiologists discover elctrical properties of living
More informationTransitions between dierent synchronous ring modes using synaptic depression
Neurocomputing 44 46 (2002) 61 67 www.elsevier.com/locate/neucom Transitions between dierent synchronous ring modes using synaptic depression Victoria Booth, Amitabha Bose Department of Mathematical Sciences,
More informationSynchrony Generation in Recurrent Networks with Frequency-Dependent Synapses
The Journal of Neuroscience, 2000, Vol. 20 RC50 1of5 Synchrony Generation in Recurrent Networks with Frequency-Dependent Synapses Misha Tsodyks, Asher Uziel, and Henry Markram Department of Neurobiology,
More informationRelationships between Spike Train Spatiotemporal Structure and Cortical Synchronization
Relationships between Spike Train Spatiotemporal Structure and Cortical Synchronization Jason M. Samonds 1, Heather A. Brown 1, A.B. Bonds 1,2 Vanderbilt University, Nashville TN, USA 37235 1 Department
More informationComputational modelling of epileptic seizure dynamics and control
Computational modelling of epileptic seizure dynamics and control Marc Koppert Computational modelling of epileptic seizure dynamics and control Cover design and layout: Marc Koppert Cover photograph:
More informationContribution of GABA A and GABA B Receptors to Thalamic Neuronal Activity during Spontaneous Absence Seizures in Rats
The Journal of Neuroscience, February 15, 2001, 21(4):1378 1384 Contribution of GABA A and GABA B Receptors to Thalamic Neuronal Activity during Spontaneous Absence Seizures in Rats Rainer Staak and Hans-Christian
More informationSLEEP AND AROUSAL: Thalamocortical Mechanisms
Annu. Rev. Neurosci. 1997. 20:185 215 Copyright c 1997 by Annual Reviews Inc. All rights reserved SLEEP AND AROUSAL: Thalamocortical Mechanisms David A. McCormick and Thierry Bal 1 Section of Neurobiology,
More informationThalamocortical Dysrhythmia. Thalamocortical Fibers. Thalamocortical Loops and Information Processing
halamocortical Loops and Information Processing 2427 halamocortical Dysrhythmia Synonyms CD A pathophysiological chain reaction at the origin of neurogenic pain. It consists of: 1) a reduction of excitatory
More informationNon epileptiform abnormality J U LY 2 7,
Non epileptiform abnormality S U D A J I R A S A K U L D E J, M D. C H U L A L O N G KO R N C O M P R E H E N S I V E E P I L E P S Y C E N T E R J U LY 2 7, 2 0 1 6 Outline Slow pattern Focal slowing
More informationPhysiological and Physical Basis of Functional Brain Imaging 6. EEG/MEG. Kâmil Uludağ, 20. November 2007
Physiological and Physical Basis of Functional Brain Imaging 6. EEG/MEG Kâmil Uludağ, 20. November 2007 Course schedule 1. Overview 2. fmri (Spin dynamics, Image formation) 3. fmri (physiology) 4. fmri
More informationPhenomenological network models: Lessons for epilepsy surgery
BRIEF COMMUNICATION Phenomenological network models: Lessons for epilepsy surgery * Jurgen Hebbink, Hil Meijer, *Geertjan Huiskamp, Stephan van Gils, and *Frans Leijten Epilepsia, 58(10):e147 e151, 2017
More informationA Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current
A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current Zaneta Navratilova and Jean-Marc Fellous ARL Division of Neural Systems, Memory and Aging University of Arizona,
More informationMembrane Bistability in Thalamic Reticular Neurons During Spindle Oscillations
J Neurophysiol 93: 294 304, 2005. First published August 25, 2004; doi:10.1152/jn.00552.2004. Membrane Bistability in Thalamic Reticular Neurons During Spindle Oscillations Pablo Fuentealba, 1 Igor Timofeev,
More informationNIH Public Access Author Manuscript Conf Proc IEEE Eng Med Biol Soc. Author manuscript; available in PMC 2010 January 1.
NIH Public Access Author Manuscript Published in final edited form as: Conf Proc IEEE Eng Med Biol Soc. 2009 ; 1: 4719 4722. doi:10.1109/iembs.2009.5334195. Estimation of Brain State Changes Associated
More informationFrom Spikes to Ripples: The Evolving and Expanding Role of Electroencephalography in the Diagnosis and Treatment of Epilepsy
From Spikes to Ripples: The Evolving and Expanding Role of Electroencephalography in the Diagnosis and Treatment of Epilepsy December 3, 2011 Gregory K. Bergey, M.D. Johns Hopkins University School of
More informationBasics of Computational Neuroscience: Neurons and Synapses to Networks
Basics of Computational Neuroscience: Neurons and Synapses to Networks Bruce Graham Mathematics School of Natural Sciences University of Stirling Scotland, U.K. Useful Book Authors: David Sterratt, Bruce
More informationEEG workshop. Epileptiform abnormalities. Definitions. Dr. Suthida Yenjun
EEG workshop Epileptiform abnormalities Paroxysmal EEG activities ( focal or generalized) are often termed epileptiform activities EEG hallmark of epilepsy Dr. Suthida Yenjun Epileptiform abnormalities
More informationEst-ce que l'eeg a toujours sa place en 2019?
Est-ce que l'eeg a toujours sa place en 2019? Thomas Bast Epilepsy Center Kork, Germany Does EEG still play a role in 2019? What a question 7T-MRI, fmri, DTI, MEG, SISCOM, Of ieeg course! /HFO, Genetics
More informationScaling a slow-wave sleep cortical network model using NEOSIM*
NEUROCOMPUTING ELSEVIER Neurocomputing 44-46 (2002) 453-458 Scaling a slow-wave sleep cortical network model using NEOSIM* adivision of Informatics, Institute for Adaptive and Neural Computation, University
More informationThe Hippocampus Participates in a Pharmacological Rat Model of Absence Seizures
Western University Scholarship@Western Electronic Thesis and Dissertation Repository January 2014 The Hippocampus Participates in a Pharmacological Rat Model of Absence Seizures Justin Andrew Arcaro The
More informationDevelopment of optimal stimuli in a heterogeneous model of epileptic spike-wave oscillations
Development of optimal stimuli in a heterogeneous model of epileptic spike-wave oscillations Nishant Sinha, Peter N. Taylor, Justin Dauwels and Justin Ruths School of Electrical & Electronic Engineering,
More informationNeural response time integration subserves. perceptual decisions - K-F Wong and X-J Wang s. reduced model
Neural response time integration subserves perceptual decisions - K-F Wong and X-J Wang s reduced model Chris Ayers and Narayanan Krishnamurthy December 15, 2008 Abstract A neural network describing the
More informationPotassium Model for Slow (2-3 Hz) In Vivo Neocortical Paroxysmal Oscillations
J Neurophysiol 92: 1116 1132, 2004. First published March 31, 2004; 10.1152/jn.00529.2003. Potassium Model for Slow (2-3 Hz) In Vivo Neocortical Paroxysmal Oscillations M. Bazhenov, 1 I. Timofeev, 2 M.
More informationepilepticus (SE) or trauma. Between this injury and the emergence of recurrent
Introduction Epilepsy is one of the oldest medical disorders known. The word epilepsy derived from the Greek word epilamhanein, meaning to be seized or to be overwhelmed by surprise. Epilepsy is one of
More informationComputational Models of Thalamocortical Augmenting Responses
The Journal of Neuroscience, August 15, 1998, 18(16):6444 6465 Computational Models of Thalamocortical Augmenting Responses Maxim Bazhenov, 1 Igor Timofeev, 2 Mircea Steriade, 2 and Terrence J. Sejnowski
More informationPerturbations of cortical "ringing" in a model with local, feedforward, and feedback recurrence
Perturbations of cortical "ringing" in a model with local, feedforward, and feedback recurrence Kimberly E. Reinhold Department of Neuroscience University of California, San Diego San Diego, CA 9237 kreinhol@ucsd.edu
More informationReciprocal Inhibitory Connections Regulate the Spatiotemporal Properties of Intrathalamic Oscillations
The Journal of Neuroscience, March 1, 2000, 20(5):1735 1745 Reciprocal Inhibitory Connections Regulate the Spatiotemporal Properties of Intrathalamic Oscillations Vikaas S. Sohal, Molly M. Huntsman, and
More informationBeyond the Basics in EEG Interpretation: Throughout the Life Stages
Beyond the Basics in EEG Interpretation: Throughout the Life Stages Steve S. Chung, MD, FAAN Chairman, Neuroscience Institute Director, Epilepsy Program Banner University Medical Center University of Arizona
More informationObjectives. brain pacemaker circuits role of inhibition
Brain Rhythms Michael O. Poulter, Ph.D. Professor, Molecular Brain Research Group Robarts Research Institute Depts of Physiology & Pharmacology, Clinical Neurological Sciences Schulich School of Medicine
More informationEffects of Light Stimulus Frequency on Phase Characteristics of Brain Waves
SICE Annual Conference 27 Sept. 17-2, 27, Kagawa University, Japan Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves Seiji Nishifuji 1, Kentaro Fujisaki 1 and Shogo Tanaka 1 1
More informationModel of Thalamocortical Slow-Wave Sleep Oscillations and Transitions to Activated States
The Journal of Neuroscience, October 1, 2002, 22(19):8691 8704 Model of Thalamocortical Slow-Wave Sleep Oscillations and Transitions to Activated States Maxim Bazhenov, 1 Igor Timofeev, 2 Mircea Steriade,
More informationResonant synchronization of heterogeneous inhibitory networks
Cerebellar oscillations: Anesthetized rats Transgenic animals Recurrent model Review of literature: γ Network resonance Life simulations Resonance frequency Conclusion Resonant synchronization of heterogeneous
More informationROLE OF EEG IN EPILEPTIC SYNDROMES ASSOCIATED WITH MYOCLONUS
Version 18 A Monthly Publication presented by Professor Yasser Metwally February 2010 ROLE OF EEG IN EPILEPTIC SYNDROMES ASSOCIATED WITH MYOCLONUS EEG is an essential component in the evaluation of epilepsy.
More informationStereotypical activation of hippocampal ensembles during seizures
Stereotypical activation of hippocampal ensembles during seizures Pierre-Pascal Lenck-Santini To cite this version: Pierre-Pascal Lenck-Santini. Stereotypical activation of hippocampal ensembles during
More informationConnectivity in epilepsy: Characterization of pathological networks on EEG, MEG and intracerebral EEG
Connectivity in epilepsy: Characterization of pathological networks on EEG, MEG and intracerebral EEG Christian-G. Bénar Institut de Neurosciences des Systèmes, Marseille christian.benar@univ-amu.fr OHBM
More informationCorticothalamic 5 9 Hz oscillations are more pro-epileptogenic than sleep spindles in rats
J Physiol 574.1 (2006) pp 209 227 209 Corticothalamic 5 9 Hz oscillations are more pro-epileptogenic than sleep spindles in rats Didier Pinault 1, Andrea Slézia 1,2 and LászlóAcsády 2 1 INSERM U666, physiopathologie
More informationCURRENT TRENDS IN GRAZ BRAIN-COMPUTER INTERFACE (BCI) RESEARCH
CURRENT TRENDS IN GRAZ BRAINCOMPUTER INTERFACE (BCI) RESEARCH C. Neuper, C. Guger, E. Haselsteiner, B. Obermaier, M. Pregenzer, H. Ramoser, A. Schlogl, G. Pfurtscheller Department of Medical Informatics,
More informationThalamocortical Feedback and Coupled Oscillators
Thalamocortical Feedback and Coupled Oscillators Balaji Sriram March 23, 2009 Abstract Feedback systems are ubiquitous in neural systems and are a subject of intense theoretical and experimental analysis.
More informationAnxiolytic Drugs and Altered Hippocampal Theta Rhythms: The Quantitative Systems Pharmacological Approach
Anxiolytic Drugs and Altered Hippocampal Theta Rhythms: The Quantitative Systems Pharmacological Approach Péter Érdi perdi@kzoo.edu Henry R. Luce Professor Center for Complex Systems Studies Kalamazoo
More informationA Brain Computer Interface System For Auto Piloting Wheelchair
A Brain Computer Interface System For Auto Piloting Wheelchair Reshmi G, N. Kumaravel & M. Sasikala Centre for Medical Electronics, Dept. of Electronics and Communication Engineering, College of Engineering,
More informationRelative contributions of cortical and thalamic feedforward inputs to V2
Relative contributions of cortical and thalamic feedforward inputs to V2 1 2 3 4 5 Rachel M. Cassidy Neuroscience Graduate Program University of California, San Diego La Jolla, CA 92093 rcassidy@ucsd.edu
More informationThe role of phase synchronization in memory processes
The role of phase synchronization in memory processes Juergen Fell and Nikolai Axmacher Abstract In recent years, studies ranging from single-unit recordings in animals to electroencephalography and magnetoencephalography
More informationSTRUCTURAL ORGANIZATION OF THE NERVOUS SYSTEM
STRUCTURAL ORGANIZATION OF THE NERVOUS SYSTEM STRUCTURAL ORGANIZATION OF THE BRAIN The central nervous system (CNS), consisting of the brain and spinal cord, receives input from sensory neurons and directs
More informationThalamo-Cortical Relationships Ultrastructure of Thalamic Synaptic Glomerulus
Central Visual Pathways V1/2 NEUR 3001 dvanced Visual Neuroscience The Lateral Geniculate Nucleus () is more than a relay station LP SC Professor Tom Salt UCL Institute of Ophthalmology Retina t.salt@ucl.ac.uk
More informationCorrelated network activity in the developing hippocampus: role in synaptogenesis
Enrico Cherubini Correlated network activity in the developing hippocampus: role in synaptogenesis SPACE PHYSICS and BIOLOGY Dubna, December 19-23, 2010 The construction of the brain relies on genetic
More informationGeneralized seizures, generalized spike-waves and other things. Charles Deacon MD FRCPC Centre Hospitalier Universitaire de Sherbrooke
Generalized seizures, generalized spike-waves and other things Charles Deacon MD FRCPC Centre Hospitalier Universitaire de Sherbrooke Objectives Give an overview of generalized EEG discharges and seizures
More informationFeature Parameter Optimization for Seizure Detection/Prediction
Feature Parameter Optimization for Seizure Detection/Prediction R. Esteller* #, J. Echauz #, M. D Alessandro, G. Vachtsevanos and B. Litt,. # IntelliMedix, Atlanta, USA * Universidad Simón Bolívar, Caracas,
More informationIntroduction to Electrophysiology
Introduction to Electrophysiology Dr. Kwangyeol Baek Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School 2018-05-31s Contents Principles in Electrophysiology Techniques
More informationThalamic and thalamocortical mechanisms underlying 3 Hz spike-and-wave discharges
J.A. Reggia, E. Ruppin and D. Glanzman (Eds.) Progress in Bmin Research, Vol 121 O 1999 Elsevier Science BV. All rights reserved. CHAPTER 17 Thalamic and thalamocortical mechanisms underlying 3 Hz spike-and-wave
More informationAlpha-band oscillations, attention, and controlled access to stored information
Review Feature Review Alpha-band oscillations, attention, and controlled access to stored information Wolfgang Klimesch Department of Physiological Psychology, University of Salzburg, A-52 Salzburg, Austria
More informationInterindividual variability of skull conductivity: an EEG-MEG analysis.
International Journal of Bioelectromagnetism Vol. 10, No. 1, pp. 25-30, 2008 http://www.ijbem.org Interindividual variability of skull conductivity: an EEG-MEG analysis. Geertjan Huiskamp Department of
More informationCortical Focus Drives Widespread Corticothalamic Networks during Spontaneous Absence Seizures in Rats
The Journal of Neuroscience, February 15, 2002, 22(4):1480 1495 Cortical Focus Drives Widespread Corticothalamic Networks during Spontaneous Absence Seizures in Rats Hanneke K. M. Meeren, 1,2 Jan Pieter
More informationCortical Interneurons Join the Mix in Absence Seizures
Current Literature In Basic Science Cortical Interneurons Join the Mix in Absence Seizures CaV 2.1 Ablation in Cortical Interneurons Selectively Impairs Fast-Spiking Basket Cells and Causes Generalized
More informationEEG and some applications (seizures and sleep)
EEG and some applications (seizures and sleep) EEG: stands for electroencephalography and is a graphed representation of the electrical activity of the brain. EEG is the recording of electrical activity
More informationEEG-Rhythm Dynamics during a 2-back Working Memory Task and Performance
EEG-Rhythm Dynamics during a 2-back Working Memory Task and Performance Tsvetomira Tsoneva, Davide Baldo, Victor Lema and Gary Garcia-Molina Abstract Working memory is an essential component of human cognition
More informationPD233: Design of Biomedical Devices and Systems
PD233: Design of Biomedical Devices and Systems (Lecture-7 Biopotentials- 2) Dr. Manish Arora CPDM, IISc Course Website: http://cpdm.iisc.ac.in/utsaah/courses/ Electromyogram (EMG) Skeletal muscles are
More information