Handbook of neural engineering : a modern approach / Stephanie Willerth, editors.

Format:

Book

Contributor:

Willerth, Stephanie, editor.

Language:

English

Subjects (All):

Computational neuroscience.

Biomedical engineering.

Neural networks (Neurobiology).

Neural networks (Computer science).

Nervous system--Computer simulation.

Nervous system.

Neural circuitry.

Neurophysiology.

Physical Description:

1 online resource (xxi, 655 pages) : color illustrations

Edition:

First edition.

Other Title:

Neural engineering

Modern approach

Place of Publication:

London, England : Academic Press, an imprint of Elsevier, [2025]

Summary:

Handbook of Neural Engineering: A Modern Approach provides a comprehensive overview of the field from biology to recent technological advances through an interdisciplinary lens.

Contents:

Intro

Handbook of Neural Engineering: A Modern Approach

Copyright

Contents

Contributors

Preface

Acknowledgments

Chapter 1: Introduction to neural engineering

1. Introduction

2. Biomedical engineering and the evolution of neural engineering

3. Biological considerations for neural engineering

4. Neural engineering strategies

5. Emerging technologies for neural engineering

6. Conclusions

References

Section 1: Biological considerations for neural engineering

Chapter 2: Overview of the structure and function of the nervous system

2. Early development of the nervous system

2.1. Cell proliferation

2.2. Cell migration to the cerebral neocortex and differentiation into specific cell types

2.3. The formation of synapses and different regions

2.4. Selective competition among connections

2.5. Myelination

3. Functional anatomy of the CNS

3.1. Retina

3.2. Spinal cord

3.3. Hippocampus

4. Cell types

4.1. Neurons

4.2. Glial cells

4.3. Astrocytes

4.4. Microglia

4.5. Oligodendrocytes

4.6. Schwann cells

4.7. Radial glial cells

4.8. Ependymal cells

5. Neuronal communication

5.1. Electrical synapses

5.2. Chemical synapses

5.3. Neurotransmitters and neurotransmitter receptors

5.4. Glutamatergic and GABAergic signaling

5.5. Synaptic integration in brain neurons

6. Summary and conclusions

Chapter 3: Cellular biology of the central nervous system

2. Neurons

2.1. Embryonic origin

2.2. Classification of neurons

2.3. Neuronal compartments and their functions

2.4. Neuronal communication through a synapse

2.5. Neuronal damage and repair strategies

2.5.1. Alzheimer's disease (AD)

2.5.2. Parkinson's disease (PD)

2.5.3. Huntington's disease (HD).

2.5.4. Traumatic spinal cord injury

3. Astrocytes

3.1. Astrocytes are a key cell type in the CNS

3.2. Development, morphology, and distribution

3.2.1. Embryology/lineage

3.3. Are astrocytes neural stem cells?

3.4. Astrocyte heterogeneity

3.5. Astrocytes in aging and in disease

3.5.1. Alzheimer's disease (AD)

3.5.2. Parkinson's diseases (PD)

3.5.3. Spinal cord injury (SCI) repair

4. Microglia

4.1. Introduction and embryogenesis

4.2. Microglial heterogeneity

4.3. Microglia and myelination

4.4. Microglia and synapses

4.5. Modification and engineering of microglia

4.5.1. SCI

4.5.2. Neurodegenerative diseases

5. Oligodendrocytes

5.1. Oligodendrocyte development and maturation

5.1.1. Embryonic origin

5.1.2. Oligodendrocyte migration during development

5.1.3. Oligodendrocyte maturation

5.2. Oligodendrocyte function

5.3. Oligodendrocyte physiology

5.4. Oligodendrocyte turn-over and pathology

5.5. Oligodendrocytes in CNS disorders

5.5.1. MS

5.5.2. SCI

5.5.3. Stroke

Chapter 4: Extracellular matrix of the nervous system

Chapter points

Abbreviations

2. Composition and assembly of ECM in the nervous system

2.1. Basement membranes

2.1.1. Core components of basement membranes

2.1.2. Basement membrane assembly

2.1.3. Cell surface receptors for ECM components

2.2. Interstitial neural ECM

2.2.1. Perineuronal nets

2.2.2. Matrix metalloproteinases

3. ECM during brain development

3.1. Neural progenitor proliferation and differentiation

3.2. ECM in cell and axon migration

3.2.1. Radial migration along RGCs

3.2.2. Axonal migration

3.3. Cortical folding

3.4. Synapse formation

4. Neural ECM in aging and disease

4.1. Neurodegeneration

4.2. Brain cancer.

4.3. Cortical development and epilepsy

4.3.1. Impact of ECM on cell fate and cortical malformation development

5. Engineering ECM for human brain tissue models

5.1. Decellularized ECM

5.2. Hydrogels

5.2.1. Collagen

5.2.2. Hyaluronic acid

5.2.3. Laminin

5.2.4. Fibronectin

5.2.5. Other gel formulations

5.3. Bioactive hydrogels

6. Summary

Chapter 5: The immune system and its role in the nervous system

2. Overview of the immune system

2.1. The innate and adaptive immune responses

3. Immunology within the nervous system

3.1. Immunology within the CNS

3.1.1. Lymphatic structures and flow

3.1.2. Resident immune cell populations and infiltrating populations

3.2. Immunology within the peripheral nervous system (PNS)

3.2.1. Resident immune cell populations

4. Interactions between the nervous system and the systemic immune system

4.1. Systemic neuroendocrine interactions

4.2. Innervation of peripheral organ systems, organs, and tissue

4.3. Direct interactions with immune cells

4.4. Direct interactions with pathogens

5. Neuroimmunity in injury, disease, and aging

5.1. General characteristics of the neuroinflammatory response

5.1.1. Fluid increase

5.1.2. Cytokines

5.1.3. Cell infiltration

5.2. Neuroimmunity within specific diseases and disorders

5.2.1. Trauma

5.2.2. Cancer

5.2.3. Psychiatric disorders

5.2.4. Aging

5.2.5. Autoimmunity

6. Methods in neuroimmunology

6.1. Model systems

6.1.1. Animal models

6.1.2. Derived living systems (ex vivo and in vitro models)

6.1.3. Nonliving systems

6.2. Experimental methods

7. Neuroimmune engineering

7.1.1. Microfluidic devices

7.1.2. Organoids

7.1.3. Scaffolds

7.1.4. Cellular engineering

8. Conclusion

References.

Chapter 6: Modulating disease states of the central nervous system: Outcomes of neuromodulation on microglia

2. CNS seen from the microglial angle

3. Memory disorders

3.1. Relevant brain circuits for the study of MDs

3.2. Deep brain stimulation

3.3. Ultrasound stimulation

3.4. Repetitive transcranial magnetic stimulation

3.5. Outcomes of brain stimulation on glia

4. Disorders of inhibition

4.1. Relevant brain circuits for the study of disorders of inhibition

4.2. Deep brain stimulation

4.3. Ultrasound stimulation

4.4. Intermittent theta burst and transcranial alternating current stimulation

4.5. Outcomes of brain stimulation on glia

5. Disorders of consciousness and coma

5.1. Relevant brain circuits for the study of DOCs/coma

5.2. Deep brain stimulation

5.3. Ultrasound stimulation

5.4. Repetitive transcranial magnetic and transcranial direct current stimulation

5.5. Outcomes of brain stimulation on glia

6. Challenges and limitations of the techniques

7. Conclusion

Chapter 7: The effect of traumatic injuries on the nervous system

1. Traumatic brain injury: Context and definitions

2. Primary injury and the onset of traumatic brain injury pathophysiology

2.1. Skull fractures

2.2. Intracerebral hemorrhage

2.3. Axonal injury

3. The continuum of secondary injury

4. Acute phase

4.1. The blood-brain barrier

4.2. Neurovascular damage starts in the blood-brain barrier

4.3. Vascular consequences of BBB disruption

4.4. Cellular energy crisis

4.5. Glutamate discharge

4.6. Cell death

4.7. Acute neuroinflammation

5. Subacute phase

5.1. Subacute neuroinflammation

5.2. Astrocyte reactivity

5.3. Neurogenesis

6. Chronic phase

6.1. Age and chronic effects of TBI

6.2. Neurodegeneration.

6.3. Behavior and emotionality

6.4. Cognitive impairments

6.5. Diagnosis and intervention

7. Repetitive TBI

8. Future directions in neurotrauma research

8.1. Modeling traumatic brain injury in the lab

8.2. Identification of circulating biomarkers

Chapter 8: Chronic pain as a neurological disease and neural engineering strategies for its management

1. Pain is a protective mechanism necessary for survival

2. The nociceptive pain circuit

2.1. Nociceptors are a subpopulation of sensory afferents

2.2. Nociceptive signal transmission and integration in the spinal cord

2.3. Nociceptive signal transmission and integration in the brain stem

2.4. Pain processing in the brain

2.4.1. The anterolateral pathway of DRG nociception

2.4.2. The dorsal column/medial lemniscal (DCML) pathway of DRG nociception

2.4.3. The trigeminal nociception

2.4.4. The pain matrix in the brain

2.5. Descending control of pain

3. Chronic pain is a disease in its own right

3.1. Peripheral sensitization

3.2. Central sensitization

4. Neuromodulation as an engineering approach in managing chronic pain

4.1. Peripheral neuromodulation

4.2. Central neuromodulation

5. Conclusions

Acknowledgment

Section 2: Neural engineering strategies

Chapter 9: An overview of noninvasive imaging strategies in neural engineering

2. Utility of imaging modalities to neural engineering

3. Optical imaging

3.1. Brightfield and fluorescence microscopy

3.2. Confocal microscopy

3.3. In vivo fluorescence microscopy

3.4. Multiphoton microscopy (MPM)

3.5. Super resolution microscopy (SRM)

3.6. Raman spectroscopy

3.7. Bioluminescence imaging (BLI)

4. Ultrasound (US)

5. Magnetic resonance imaging (MRI)

6. X-rays and computed tomography (CT).

7. Positron emission tomography (PET) and single photon emission computed tomography (SPECT).

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record and online resource; title from digital title page (viewed on December 12, 2025).

Other Format:

Print version:

ISBN:

0-323-95731-5

OCLC:

1455753208