Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics

Neuronal Networks Brain Function, CNS Disorders Therapeutics 1e

Table of Contents:
1. Introduction to Neuronal Networks of the Brain 2. Network Computer Modeling 3. Functional Magnetic Resonance Imaging in Epilepsy:  Methods and Applications Using Awake Animals 4. Network Experimental Approaches:  Inactivation, Microinjection, Neuronal Stimulation, and Recording 5. Network Experimental Approaches – ex vivo and ex vivo Networks 6. Network Imaging and Neuronal Firing 7. Network Control Mechanisms - Neuroactive Substances and Cellular Inputs 8. Network Control Mechanisms – Volume Transmission 9. Bursting in the Brain - From Cells to Networks 10. Network Control Mechanisms – Cellular Milieu 11. Neuronal Network Mechanisms - Sex and Development 12. Astrocytic Regulation of Synapses, Neuronal Networks and Behavior 13. The Fear Memory Network 14. Orchestration of the Circadian Clock Network by the Suprachiasmatic Nucleus 15. mTOR Signaling in Cortical Network Development 16. Network Control Mechanisms - Synaptogenesis and Epilepsy Development 17. The Brain and Spinal Cord Networks Controlling Locomotion 18. The Brainstem Respiratory Network 19. Visual Network 20. Auditory Neuronal Networks and Chronic Tinnitus 21. Consciousness and Subcortical Arousal Systems 22. Networks of Normal and Disordered Sleep 23. Networks for the Modulation of Acute and Chronic Pain 24. Networks in Mood and Anxiety Disorders 25. Neuronal Networks and Therapeutics in Neurodegenerative Disorders 26. Neuronal Networks in Epilepsy:  Comparative Audiogenic Seizure Networks 27. Physiological and Pathophysiological Expansion of Neuronal Networks 28. Neuronal Network Plasticity and Network Interactions are Critically Dependent on Conditional Multireceptive (CMR) Brain Regions 29. Neuronal Network Interactions in the Startle Reflex, Learning Mechanisms, and CNS Disorders, Including Sudden Unexpected Death in Epilepsy 30. Emergent Properties of Neuronal Networks 31. Neuronal Network Involvement in Stimulation Therapies for CNS Disorders 32. Neuronal Network Effects of Drug Therapies for CNS Disorders 33. Future Trends in Neuronal Networks - Selective and Combined Targeting of Network Hubs

About the Author :
Carl L. Faingold is an American neuroscientist who is a Distinguished Professor in the Department of Pharmacology of Southern Illinois University School of Medicine in Springfield, Illinois; he is a founding faculty member of both the department and the School of Medicine. Hal Blumenfeld is a Professor of Neurology, Neuroscience, and Neurosurgery at Yale University. He is an expert on brain mechanisms of consciousness and on altered consciousness in epilepsy. As director of the Yale Clinical Neuroscience Imaging Center (CNIC) he leads multi-disciplinary research and is also well known for his teaching contributions in neuroanatomy and clinical neuroscience.

Review :
"The book is a welcome and scholarly recognition of the growing importance of networks in neuroscience and neurological care." "Students and practitioners of Neuroscience, Neurology, Psychiatry, Pharmacology and Information Science as applied to the brain will find this to be a useful summary of systems data and a new conceptual framework." --Robert S. Fisher, MD, PhD, Professor of Neurology and Director, Comprehensive Epilepsy Center, Department of Neurology and Neurological Sciences, Stanford University Medical Center "This volume, edited by Carl Faingold and Hal Blumenfeld, focuses on neural networks – what they are, how we study them, and why they are important for understanding normal brain function and treating neuropathologies. The topic is timely and important. Indeed, there is a wealth of information (and a large number of ongoing studies) that deals with the identification and understanding of brain networks, and this volume attempts to bring much of that information together in a coherent package. Of particular importance is the concept of "emergent properties" of a network – characteristics of a network’s function that are not observed in the member elements and may not be predictable simply by looking at the members of the network…research on network modulation/disruption will contribute powerful new tools to our therapeutic armamentarium." --Philip A. Schwartzkroin, Ph.D., Professor emeritus, Department of Neurological Surgery University of California, Davis "Many of the chapters provide outstanding thoughtful, timely, and information-packed reviews of interesting topics…this book will be useful and important to anyone interested in mammalian systems neurobiology, and especially to those to whom basic science/clinical implications matter deeply." --Roger D. Traub, M.D., Dept. Physical Sciences, IBM T.J. Watson Research Center, Yorktown Heights, NY