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Principles of electrical neural interfacing : a quantitative approach to cellular recording and stimulation / Liang Guo.

Springer eBooks EBA - Engineering Collection 2022 Available online

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Format:
Book
Author/Creator:
Guo, Liang, author.
Language:
English
Subjects (All):
Neurotechnology (Bioengineering).
Neural stimulation.
Electrophysiology.
Physical Description:
1 online resource (177 pages)
Place of Publication:
Cham, Switzerland : Springer, [2021]
System Details:
Mode of access: World Wide Web.
Summary:
This textbook fills a gap to supply students with the fundamental principles and tools they need to perform the quantitative analyses of the neuroelectrophysiological approaches, including both conventional and emerging ones, prevalently used in neuroscience research and neuroprosthetics. The content grows out of a course on Neuroengineering and Neuroprosthetics, which the author has taught already several times. The key problems the author addresses include (1) the universal operating mechanisms of neuroelectrophysiological approaches, (2) proper configuration of each approach, and (3) proper interpretation of the resulting signals. Efforts are made both to extract the universal principles underlying this common class of approaches and discern the unique properties of each individual approach. To address these important problems, equivalent electrical circuit modeling and signal analysis are used to unravel the functioning mechanisms and principles and provide sound interpretations to the associated signals and phenomena. This book aims to derive analytical solutions to these equivalent circuits, which can offer clear and complete mechanistic insights to the underlying biophysics.
Contents:
Intro
Preface
Acknowledgments
Contents
About the Author
List of Abbreviations
Chapter 1: Introduction
1.1 Neural Electrodes
1.2 Advantages and Limitations of Electrical Neural Interfacing
1.3 Problems of Focus in This Book
1.4 Featured Approach of Analysis
References
Part I: Properties and Models of Neurons and Electrodes
Chapter 2: Equivalent Circuit Models of Neurons
2.1 The Classic Parallel-Conductance Model
2.2 Neuronal Model for DC Analysis
2.3 Neuronal Models for AC Analysis
2.3.1 Neuronal Model for Analyzing Subthreshold Transmembrane Voltage Changes
2.3.2 Neuronal Model for analyzing Suprathreshold Transmembrane Voltage Changes (APs)
2.3.3 Virtual Capacitive Current IC(s)
2.4 Monopole Current Source
Chapter 3: Recording Electrodes
3.1 Electrode-Electrolyte Interface
3.1.1 The Universal Electrode-Electrolyte Phase Boundary
3.1.2 Neural Recording Electrodes are Capacitive
3.2 Non-Redox Electrochemical Cell for Neural Recording
3.3 The Complete Neural Recording Circuit
3.4 Electrode Impedance
3.4.1 Principle of Electrode Impedance Measurement
3.4.2 Method for Electrode Impedance Measurement
3.4.3 How to Read the Impedance Plots
3.4.4 Methods to Reduce Electrode Impedance
3.5 Summary
Chapter 4: Stimulating Electrodes
4.1 Electrode-Electrolyte Interface
4.2 Electrolytic Cell for Neural Stimulation
4.3 The Complete Neural Stimulating Circuit
4.4 Charge Injection Capacity
4.4.1 Cyclic Voltammogram (CV), CSC, and CIC
4.4.2 Methods to Functionalize a Stimulating Electrode
4.5 Summary
Part II: Principles of Electrical Neural Recording
Chapter 5: Intracellular Recording
5.1 DC Recording: The Resting Membrane Potential
5.2 AC Recording
5.2.1 How the AC Vm(s) Is Generated.
5.2.2 Intracellular Recording Using a Solid-State Microwire Electrode
5.2.3 Intracellular Recording Using Whole-Cell Patch-Clamp and Glass Micropipettes
5.3 Summary
Chapter 6: Extracellular Recording
6.1 Basic Relationships Between eFPs and Transmembrane Voltage Changes
6.2 Extracellular Recording Using a Planar Substrate Microelectrode
6.3 Optimizing the Recording Quality
6.3.1 Factors Affecting the SNR
6.4 Summary
Chapter 7: Extracellular Recording of Propagating Action Potentials
7.1 AP Propagation and Its Modeling
7.1.1 Forward Propagating Intracellular Current
7.1.2 Backward Propagating Intracellular Current
7.1.3 Overall Propagating Effect on eFP
7.2 The Recorded eFP
7.3 Summary
Chapter 8: Recording Using Field-Effect Transistors
Summary
Chapter 9: Neural Recording Using Nanoprotrusion Electrodes
9.1 Extracellular Recording by Nanoprotrusion Electrodes
9.1.1 Subthreshold Depolarization Phase
9.1.2 AP Phase
9.2 Recording by Nanoprotrusion Electrodes After Membrane Poration
9.2.1 Subthreshold Depolarization Phase
9.2.2 AP Phase
9.3 Recording by Multiple Nanoprotrusion Electrodes on the Same Planar Microelectrode
9.3.1 Extracellular Recording
9.3.2 Recording After Membrane Poration
9.4 Conclusion
9.5 Summary
Chapter 10: Recording Using Tetrodes
10.1 Principle of Source Localization
10.1.1 Why the Neuronal Source Is Viewed as a Current Source?
10.1.2 Monopole Source Model
10.1.3 Analytical Solution to the Inverse Problem
10.1.4 Whether Deconvolution is Needed?
10.2 When a Real Analytical Solution Does Not Exist
10.3 Stepping Tetrode
10.4 Limitations of Tetrodes
10.5 Summary
References.
Chapter 11: Intracortical Functional Neural Mapping Using an Integrated 3D Ultra-Density MEA
11.1 Basic Concepts of a Single Electrode
11.1.1 Amplitude Resolution
11.1.2 Spatial Resolution
11.1.3 Receptive Field
11.1.4 Temporal Resolution
11.2 An Electrode Unit
11.3 Definition of Ultra-Density MEA
11.4 Neural Resolving Power of MEA
11.5 Principles of Functional Neural Mapping Using an Ultra-Density MEA
11.6 Discussions
11.6.1 Particular Issues of Ultra-Density MEA
The Aliasing Effect
The Peripheral Source Effect
The Interposing Effect
Concurrent AP Firing
11.6.2 Spatial Oversampling
11.6.3 Implications to BCIs
11.7 Summary
Part III: Principles of Electrical Neural Stimulation
Chapter 12: Neuronal Stimulation
12.1 Intracellular Stimulation
12.2 Extracellular Stimulation: Basic Relationships Between eFP and Transmembrane Voltage
12.2.1 Intimate Stimulation
12.2.2 Distant Stimulation
12.2.3 Electrode Much Smaller Than the Neuron
12.3 Extracellular Stimulation Using a Planar Substrate Microelectrode
12.3.1 Electrode Area Equal to the Neuronal Junctional Area
12.3.2 Electrode Area Larger Than the Neuronal Junctional Area
12.3.3 Electrode Area Smaller Than the Neuronal Junctional Area
12.3.4 Electrode Area Much Smaller Than the Neuronal Junctional Area
12.3.5 Extracellular Stimulation Using a Planar Substrate Microelectrode After Electroporation
12.4 Optimizing Stimulation Efficacy
12.5 Summary
Chapter 13: Electrical Stimulation to Promote Neuronal Growth
13.1 Neuronal Model for Substrate Interaction
13.2 Weak DC Electric Field to Promote Neuronal Growth
13.2.1 DC Voltage Stimulation
13.2.2 DC Current Stimulation
13.3 DC Electric Field to Direct Axonal Growth
13.4 Summary
Part IV: Applications.
Chapter 14: Applications
14.1 High-Performance BCIs
14.2 Drug Screening
14.3 Chronic Pain Management
14.4 Nerve Regeneration
Index.
Notes:
Includes bibliographical references and index.
Description based on print version record.
ISBN:
3-030-77677-8
OCLC:
1272999984

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