Handbook of Neural Engineering: A Modern Approach provides a comprehensive overview of the field from biology to recent technological advances through an interdisciplinary lens. The book is divided into three sections: 1) Biological Considerations for Neural Engineering, 2) Neural Engineering Strategies, and 3) Emerging Technologies for Neural Engineering. It provides the first comprehensive text that addresses this combination of subjects. Neurodegenerative diseases, including Alzheimer's, Parkinson's and Multiple Sclerosis, represent an enormous healthcare burden, and many of these diseases lack true cures, making it imperative to study the biological systems that become disordered to understand potential treatment options.This book covers the basic neurobiology and physiology, common neural engineering strategies, and emerging technologies in this field. It is designed to support an upper year/graduate elective course in neural engineering, and will provide a foundational overview of the field for interdisciplinary researchers, clinicians, engineers, and industry professionals. The handbook provides readers with a strong base in both biological and engineering principles along with the concepts necessary to implement solutions using Neural Engineering.
- Includes coverage of foundational concepts of the fast-moving field of Neural Engineering, from overview and structure of the nervous system, cellular biology of the nervous system, extracellular matrix of the nervous system, role of the immune system in the nervous system, disease states of the nervous system, and the effects of trauma and chronic pain on the nervous system
- Provides readers with understanding of Neural Engineering strategies, in key areas such as imagining, examining nervous system function, neural interfaces, Brain-Computer Interfaces, neural prostheses, neurorobotics, and neural tissue engineering
- Includes a complete section on emerging technologies for neural engineering applications, such as optogenetics, gene editing, brain organoids, and modeling with organ-on-a-chip systems
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Techn.
Dateigröße
ISBN-13
978-0-323-95731-1 (9780323957311)
Schweitzer Klassifikation
Contributors xiiiPreface xixAcknowledgments xxi1. Introduction to neural engineering 1Stephanie Willerth1 Introduction 12 Biomedical engineering and the evolution of neural engineering 53 Biological considerations for neural engineering 74 Neural engineering strategies 105 Emerging technologies for neural engineering 116 Conclusions 13References 13SECTION 1 Biological considerations for neural engineering2. Overview of the structure and function of the nervous system 171 Introduction 172 Early development of the nervous system 183 Functional anatomy of the CNS 214 Cell types 265 Neuronal communication 326 Summary and conclusions 41References 413. Cellular biology of the central nervous system 491 Introduction 492 Neurons 493 Astrocytes 604 Microglia 665 Oligodendrocytes 726 Summary and conclusions 78References 784. Extracellular matrix of the nervous system 971 Introduction 992 Composition and assembly of ECM in the nervous system 1003 ECM during brain development 1084 Neural ECM in aging and disease 1155 Engineering ECM for human brain tissue models 1206 Summary 130References 1315. The immune system and its role in the nervous system 1491 Introduction 1492 Overview of the immune system 1503 Immunology within the nervous system 1534 Interactions between the nervous system and the systemicimmune system 1585 Neuroimmunity in injury, disease, and aging 1596 Methods in neuroimmunology 1627 Neuroimmune engineering 1658 Conclusion 171References 1716. Modulating disease states of the central nervous system:Outcomes of neuromodulation on microglia 1791 Introduction 1792 CNS seen from the microglial angle 1833 Memory disorders 1874 Disorders of inhibition 1945 Disorders of consciousness and coma 2036 Challenges and limitations of the techniques 2127 Conclusion 213References 2147. The effect of traumatic injuries on the nervous system 2311 Traumatic brain injury: Context and definitions 2312 Primary injury and the onset of traumatic brain injury pathophysiology 2343 The continuum of secondary injury 2374 Acute phase 2375 Subacute phase 2486 Chronic phase 2507 Repetitive TBI 2538 Future directions in neurotrauma research 255References 2588. Chronic pain as a neurological disease and neural engineering strategies for its management 2711 Pain is a protective mechanism necessary for survival 2712 The nociceptive pain circuit 2713 Chronic pain is a disease in its own right 2844 Neuromodulation as an engineering approach in managing chronic pain 2895 Conclusions 293Acknowledgment 293References 293SECTION 2 Neural engineering strategies9. An overview of noninvasive imaging strategies in neural engineering 3011 Introduction 3012 Utility of imaging modalities to neural engineering 3033 Optical imaging 3044 Ultrasound (US) 3135 Magnetic resonance imaging (MRI) 3156 X-rays and computed tomography (CT) 3267 Positron emission tomography (PET) and single photon emission computed tomography (SPECT) 3298 Electroencephalogram/magnetoencephalography (EEG/MEG) 3339 Conclusions 335References 33510. Brain-computer interface 3511 Defining brain-computer interface 3512 History of BCI 3543 Innovations in modern-day BCIS 3574 Brief introduction to the nervous system 3595 BCI types 3606 BCI components 3657 BCI applications 3748 Challenges and future direction 378References 38011. Neuroprosthetics 3891 Auditory prosthesis 3892 Deep brain stimulation 3943 Spinal cord neuroprosthetics 3964 Neuromuscular prosthetics 3985 Neuroprosthetics for internal organs 4006 Outlook: The next generation of neuroprosthetics 404References 40612. Neural tissue engineering 4131 Functional bio/nanomaterials 4152 In vitro 3D tissue culture platforms for nervous system (spheroids and organoids) 4303 Microfluidic systems 4394 Scaffolding (implantable neural interfaces) 4445 Electrical stimulations 4526 Summary 457References 459SECTION 3 Emerging technologies for neural engineering13.
