Computational neuroscience in epilepsy

Computational neuroscience in epilepsy

  • نوع فایل : کتاب
  • زبان : انگلیسی
  • مؤلف : Ivan Soltesz; Kevin Staley
  • ناشر : Amsterdam ; Boston ; London : Academic
  • چاپ و سال / کشور: 2008
  • شابک / ISBN : 9780123736499

Description

Contents Contributors ix Foreword xiii Rise of the Machines – On the Threshold of a New Era in Epilepsy Research Daniel H. Lowenstein Introduction: Applications and Emerging Concepts of Computational Neuroscience in Epilepsy Research xv Ivan Soltesz and Kevin Staley PART I Computational Modeling Techniques and Databases in Epilepsy Research 1 Simulation of Large Networks: Technique and Progress 3 William W. Lytton, Mark Stewart and Michael Hines 2 The NEURON Simulation Environment in Epilepsy Research 18 N.T. Carnevale and Michael Hines 3 The CoCoDat Database: Systematically Organizing and Selecting Quantitative Data on Single Neurons and Microcircuitry 34 Jonas Dyhrfjeld-Johnsen and Rolf Kötter 4 Validating Models of Epilepsy 43 Kevin Staley, Waldemar Swiercz and Krzysztof J. Cios 5 Using NeuroConstruct to Develop and Modify Biologically Detailed 3D Neuronal Network Models in Health and Disease 48 Padraig Gleeson, Volker Steuber and R. Angus Silver 6 Computational Neuroanatomy of the Rat Hippocampus: Implications and Applications to Epilepsy 71 Deepak Ropireddy, Susan E. Bachus, Ruggero Scorcioni and Giorgio A. Ascoli v vi Contents PART II Epilepsy and Altered Network Topology 7 Modeling Circuit Alterations in Epilepsy: A Focus on Mossy Cell Loss and Mossy Fiber Sprouting in the Dentate Gyrus 89 Vijayalakshmi Santhakumar 8 Functional Consequences of Transformed Network Topology in Hippocampal Sclerosis 112 Robert J. Morgan and Ivan Soltesz 9 Multiple-Scale Hierarchical Connectivity of Cortical Networks Limits the Spread of Activity 132 Marcus Kaiser PART III Destabilization of Neuronal Networks 10 Computer Simulations of Sodium Channel Mutations that Cause Generalized Epilepsy with Febrile Seizures Plus 143 Jay Spampanato and Alan L. Goldin 11 Gain Modulation and Stability in Neural Networks 155 Frances S. Chance 12 Neocortical Epileptiform Activity in Neuronal Models with Biophysically Realistic Ion Channels 168 Wim van Drongelen, Amber Martell and Hyong C. Lee 13 Corticothalamic Feedback: A Key to Explain Absence Seizures 184 Alain Destexhe 14 Mechanisms of Graded Persistent Activity: Implications for Epilepsy 215 Erik Fransén 15 Small Networks, Large Networks, Experiment and Theory – Can We Bring Them Together with Oscillations, Heterogeneity and Inhibition? 232 Frances K. Skinner and Ernest Ho Contents vii PART IV Homeostasis and Epilepsy 16 Stability and Plasticity in Neuronal and Network Dynamics 247 Astrid A. Prinz 17 Homeostatic Plasticity and Post-Traumatic Epileptogenesis 259 Maxim Bazhenov, Arthur R. Houweling, Igor Timofeev and Terrence J. Sejnowski PART V Mechanisms of Synchronization 18 Synchronization in Hybrid Neuronal Networks 281 John A. White and Theoden I. Netoff 19 Complex Synaptic Dynamics of GABAergic Networks of the Hippocampus 288 Gianmaria Maccaferri 20 Experimental and Theoretical Analyses of Synchrony in Feedforward Networks 304 Alex. D. Reyes 21 Modulation of Synchrony by Interneurons: Insights from Attentional Modulation of Responses in the Visual Cortex 317 Paul H.E. Tiesinga and Calin I Buia PART VI Interictal to Ictal Transitions 22 Cellular and Network Mechanisms of Oscillations Preceding and Perhaps Initiating Epileptic Discharges 335 Roger D. Traub, Diego Contreras and Miles A. Whittington 23 Transition to Ictal Activity in Temporal Lobe Epilepsy: Insights from Macroscopic Models 356 F. Wendling and P. Chauvel 24 Unified Modeling and Analysis of Primary Generalized Seizures 387 P.A. Robinson, M. Breakspear and J.A. Roberts 25 A Neuronal Network Model of Corticothalamic Oscillations: The Emergence of Epileptiform Absence Seizures 403 Piotr Suffczynski, Stiliyan Kalitzin and F.H. Lopes da Silva viii Contents 26 Extracellular Potassium Dynamics and Epileptogenesis 419 Flavio Fröhlich, Igor Timofeev, Terrence J. Sejnowski and Maxim Bazhenov 27 Slow Waves Associated with Seizure Activity 440 Anatol Bragin and Jerome Engel Jr PART VII Seizure Dynamics 28 Dynamics of Epileptic Seizures during Evolution and Propagation 457 Christophe C. Jouny and Gregory K. Bergey 29 Are Correlation Dimension and Lyapunov Exponents Useful Tools for Prediction of Epileptic Seizures? 471 Ying-Cheng Lai, Ivan Osorio, Mark G. Frei and Mary Ann F. Harrison 30 Towards a Dynamics of Seizure Mechanics 496 Steven J. Schiff, John R. Cressman, Ernest Barreto and Joku¯ bas Žiburkus PART VIII Towards Computer-Aided Therapy 31 Principles and Practice of Computer-Aided Drug Design as Applied to the Discovery of Antiepileptic Agents 515 Donald F. Weaver 32 Computation Applied to Clinical Epilepsy and Antiepileptic Devices 530 Javier Echauz, Stephen Wong, Otis Smart, Andrew Gardner, Gregory Worrell and Brian Litt 33 Microelectrode-based Epilepsy Therapy: A Hybrid Neural Prosthesis Incorporating Seizure Prediction and Intervention with Biomimetic Maintenance of Normal Hippocampal Function 559 Michelle L. Stephens, Dennis D. Spencer, Idil Cavus, Min-Chi Hsiao, Dong Song, Sam A. Deadwyler, Robert E. Hampson, David Putz, Jorge E. Quintero, Meriem K. Bensalem-Owen, Kevin N. Hascup, Erin C. Rutherford, B. Keith Day, Justin R. Nickell, Francois Pomerleau, Peter Huettl, Jason J. Burmeister, Pooja M. Talauliker, Vasilis Z. Marmarelis, John J. Granacki, Theodore Berger and Greg A. Gerhardt Index 587
Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). The book should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. * Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures * Contributors are top experts at the forefront of computational epilepsy research * Chapter contents are highly relevant to both basic and clinical epilepsy researchers.
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