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Format: 1 Online-Ressource.

ISBN: 978-3-030-45623-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-45622-1

Language: English

Keywords: Konferenzschrift ; Konferenzschrift

DOI: 10.1007/978-3-030-45623-8

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Format: 1 online resource (XI, 407 p. 223 illus., 199 illus. in color.)

Edition: 1st ed. 2021.

ISBN: 3-030-45623-4

Content: This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techniques available to assess a given technology’s safety and efficacy in a timely and efficient manner. Describes computational human body phantom construction and application; Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations; Includes a survey of modern applications for which computational human phantoms are critical.

Note: Introduction -- Tumor Treating Fields Dosimetry and Treatment Planning -- A Theory of Mechanisms Underlying 200 kHz AC Electric Fields Effects on Tumor Cell Structures -- A thermal study of Tumor Treating Fields for glioblastoma therapy -- Improving Tumor Treating Fields with Skull Remodeling Surgery. Surgery Planning and Treatment Evaluation with Finite Element Methods -- A Computational FEM Parcelled-Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation -- Computer Model of Electroconvulsive Therapy with Tractography Analysis -- Personalization of multi-electrode setups in tCS: methods and advantages -- Solving High-Resolution Forward Problems for Extra- and Intracranial Neurophysiological Recordings Using Boundary Element Fast Multipole Method -- Modeling Primary Fields of TMS Coils with the Fast Multipole Method -- Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models -- A miniaturized ultra-focal magnetic stimulator and its preliminary application to the peripheral nervous system -- Modelling studies of non-invasive electric and magnetic stimulation of the spinal cord -- Simplifying the Numerical Human Model with k-means Clustering Method -- Using Anatomical Human Body Model for FEM SAR Simulation of a 3T MRI System -- RF-Induced Unintended Stimulation for Implantable Medical Devices in MRI. , English

Additional Edition: ISBN 3-030-45622-6

Language: English

DOI: 10.1007/978-3-030-45623-8

UID:

Format: 1 Online-Ressource (407 p.)

ISBN: 9783030456238

Content: ​This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techniques available to assess a given technology’s safety and efficacy in a timely and efficient manner. Describes computational human body phantom construction and application; Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations; Includes a survey of modern applications for which computational human phantoms are critical

Note: English

Language: English

URL: kostenfrei

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Format: 1 online resource (395 pages)

ISBN: 9783030456238

Note: Intro -- Foreword -- Contents -- Part I: Tumor Treating Fields -- Tumor-Treating Fields at EMBC 2019: A Roadmap to Developing a Framework for TTFields Dosimetry and Treatment Planning -- 1 Introduction -- 2 An Outline for TTFields Dosimetry and Treatment Planning -- 3 TTFields Dosimetry -- 4 Patient-Specific Model Creation -- 5 Advanced Imaging for Monitoring Response to Therapy -- 6 Discussion and Conclusions -- References -- How Do Tumor-Treating Fields Work? -- 1 Introduction -- 1.1 TTFields Affect Large, Polar Molecules -- 1.2 The Need for a ``Complete ́́TTFields Theory -- 2 Empirical Clues to TTFields MoA -- 2.1 TTFields Only Kill Fast-Dividing Cells -- 2.2 TTFields Require 2-4 V/cm Field Strength -- 2.3 TTFields Are Frequency-Sensitive and Effective Only in the 100-300 KHz Range -- 2.4 TTFields Are Highly Directional -- 2.5 TTFields Have Their Strongest Effect in Prophase and Metaphase -- 2.6 TTFields Increase Free Tubulin and Decrease Polymerized Tubulin in the Mitotic Spindle Region -- 3 Candidate Mechanisms of Action (MoA) -- 3.1 Dielectrophoretic (DEP) Effects -- 3.2 Microtubule Effects -- 3.3 Septin Effects -- 3.4 Is Intrinsic Apoptosis the Key Signaling Pathway Triggered by TTFields? -- 4 Conclusion -- References -- A Thermal Study of Tumor-Treating Fields for Glioblastoma Therapy -- 1 Introduction -- 1.1 Electromagnetic Radiation and Matter -- 1.2 Tumor-Treating Fields -- 1.3 The Optune Device -- 2 Methods -- 2.1 The Realistic Human Head Model -- 2.2 Heat Transfer in TTFields: Relevant Mechanisms -- 2.2.1 Conduction -- 2.2.2 Convection -- 2.2.3 Radiation -- 2.2.4 Sweat -- 2.2.5 Metabolism -- 2.2.6 Blood Perfusion -- 2.2.7 Joule Heating -- 2.3 Heat Transfer in TTFields: Pennes ́Equation -- 2.4 Simulations ́Conditions -- 3 Results -- 3.1 Duty Cycle and Effective Electric Field at the Tumor -- 3.2 Improving the Duty Cycle. , 3.3 The Effect of Sweat -- 3.4 Temperature Increases -- 3.5 Prediction of the Thermal Impact -- 3.6 Continuous Versus Intermittent Application of the Fields -- 4 Limitations and Future Work -- References -- Improving Tumor-Treating Fields with Skull Remodeling Surgery, Surgery Planning, and Treatment Evaluation with Finite Element ... -- 1 Introduction -- 2 Glioblastoma -- 3 Tumor Treating Fields -- 4 TTFields Dosimetry -- 5 Skull Remodeling Surgery and the Utility of FE Modeling -- 6 The Aim and Motivation of Field Modeling in SR-Surgery Planning and Evaluation -- 7 Physical Basis of the Field Calculations -- 8 Creating the Head Models -- 9 Placement of TTField Transducer Arrays -- 10 Boundary Conditions and Tissue Conductivities -- 11 SR-Surgery in the OptimalTTF-1 Trial -- 12 Conclusion -- References -- Part II: Non-invasive Neurostimulation - Brain -- A Computational Parcellated Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation -- 1 Introduction -- 2 Relation Between EF Magnitude and Orientation and tDCS-Physiological Effects -- 3 A Computational Parcellated Brain Model in tDCS -- 3.1 Head Anatomy -- 3.2 Cortex Parcellation -- 3.3 tDCS Electrode Montages -- 3.4 The Physics of tDCS -- 3.5 FEM Calculation -- 4 Results -- 4.1 Tangential and Normal EF Distribution Through the Cortex -- 4.2 Mean and Peak Tangential and Normal EF Values over Different Cortical Areas -- 5 Summary and Discussion -- 6 Conclusion -- References -- Computational Models of Brain Stimulation with Tractography Analysis -- 1 Introduction -- 2 Methods -- 2.1 Image Preprocessing -- 2.2 White Matter Fibre Tractography -- 2.2.1 Image Segmentation -- 2.2.2 Fibre Orientation Distribution -- 2.2.3 Anatomically Constrained Tractography -- 2.2.4 Post-Processing -- 2.3 Finite Element Analysis of ECT Brain Stimulation. , 2.3.1 Finite Element Model Reconstruction -- 2.3.2 Tissue Conductivities -- 2.3.3 White Matter Conductivity Anisotropy -- 2.3.4 ECT Brain Stimulation Settings -- 2.4 Model Combination -- 3 Results -- 3.1 White Matter Fibre Tractography Model -- 3.2 Electric Field and Activating Function for Three White Matter Conductivity Settings -- 3.3 White Matter Activation -- 4 Discussion -- References -- Personalization of Multi-electrode Setups in tCS/tES: Methods and Advantages -- 1 Introduction -- 1.1 Biophysical Aspects of tCS -- 2 Methods -- 2.1 Subjects -- 2.2 Head Model Generation -- 2.3 Montage Optimization Algorithm -- 2.4 Studies Performed -- 3 Results -- 3.1 Study A: Effect of Target Size -- 3.2 Study B: Tissue Conductivity Values -- 3.3 Study C: Intersubject Variability -- 4 Discussion -- 4.1 Interplay of Target Size, Cortical Geometry, and Optimization Constraints -- 4.2 Influence of Skull Conductivity -- 4.3 Montage Optimization and Intersubject Variability -- 4.4 Study Limitations -- 4.5 Consequences for Protocol Design -- References -- Part III: Non-invasive Neurostimulation - Spinal Cord and Peripheral Nervous System -- Modelling Studies of Non-invasive Electric and Magnetic Stimulation of the Spinal Cord -- 1 Relevance of Modelling Studies in Non-invasive Spinal Stimulation -- 2 Creating a Realistic Human Volume Conductor Model -- 3 Electric Field Calculation in Non-invasive Spinal Stimulation (NISS) -- 3.1 Electrode Model and Stimulation Parameters in tsDCS -- 3.2 Coil Model and Stimulation Parameters in tsMS -- 4 Main Characteristics of the Electric Field in NISS -- 4.1 Predictions in tsDCS -- 4.2 Predictions in tsMS -- 4.3 Implications of Modelling Findings in Clinical Applications of NISS -- 5 What Lies Ahead in Non-invasive Spinal Stimulation Modelling Studies -- References. , A Miniaturized Ultra-Focal Magnetic Stimulator and Its Preliminary Application to the Peripheral Nervous System -- 1 Introduction -- 2 Models and Methods -- 2.1 μCoil Modeling -- 2.2 Modeling Peripheral Nerve Stimulation: Titration Analysis -- 3 Results -- 3.1 Magnetic Field Generated by the μCoils -- 3.2 Electric Field Induced by the μCoils -- 3.3 Variation of the Peripheral Nerve Stimulation Threshold -- 4 Discussion and Conclusion -- References -- Part IV: Modeling of Neurophysiological Recordings -- Combining Noninvasive Electromagnetic and Hemodynamic Measures of Human Brain Activity -- 1 Introduction -- 2 Methods -- 2.1 Minimum-Norm Estimates -- 2.2 Example: MNE Analysis and the Effect of fMRI Weighting -- 3 Discussion -- 3.1 Developments of the fMRI-Weighted MNE -- 3.2 Experimental Design, Model Comparison and Validation, and Neurovascular Coupling Models -- 3.3 Neurovascular Coupling: The Physiological Bases of Integrating fMRI and MEG Source Modeling -- References -- Multiscale Modeling of EEG/MEG Response of a Compact Cluster of Tightly Spaced Pyramidal Neocortical Neurons -- 1 Introduction -- 2 Materials and Methods -- 2.1 Gyrus Cluster Construction and Analysis -- 2.2 Sulcus Cluster Construction and Analysis -- 2.3 Modeling Algorithm -- 3 Results -- 3.1 Gyrus (Nearly Horizontal) Cluster -- 3.2 Sulcus (Predominantly Vertical) Cluster -- 3.3 Quantitative Error Measures -- 4 Conclusions -- References -- Part V: Neural Circuits. Connectome -- Robustness in Neural Circuits -- 1 Introduction: Stability and Resilience - ``Robustness ́́-- 2 Methods -- 2.1 Node Parameters at Several Systems Levels Granularity -- 2.2 Neuron Cell Parameters -- 2.2.1 Dynamic Adjustment of Input Amplitude -- 2.3 Simulation Duration, Time Step, and Calculation of Firing Rates -- 2.4 Definition of ``Robustness ́́via Coefficient of Variance (CV). , 2.5 Definition of ``Robustness ́́via an Adapted Lyapunov Exponent -- 2.6 Cumulative Firing Rate vs Momentary Firing Rate -- 2.7 Limitations -- 3 Results -- 3.1 Sample Time Course of Firing Rate of Two Population-Group Configurations -- 3.1.1 Plots of Firing Rate of All Sample Points vs Baseline Parameters -- 3.1.2 Robustness vs Number of Elements as Measured by Coefficient of Variance (CV) -- 3.1.3 Robustness vs Number of Elements as Measured by Lyapunov Exponent (LE) -- 3.1.4 Robustness vs Number of Elements as Measured by Cumulative Firing Rate (CFR) -- 4 Discussion -- 4.1 Key Results -- 4.2 Robustness and Degeneracy in Biological Systems -- 4.3 Robustness and Degeneracy in Functional Connectivity Brain Networks -- 4.4 Inadvertent Modeling Error Due to Scaling -- 5 Conclusion -- References -- Insights from Computational Modelling: Selective Stimulation of Retinal Ganglion Cells -- 1 Introduction -- 2 Materials and Methods -- 2.1 Computational Model of ON and OFF RGC Clusters -- 2.2 ON and OFF Layer Simulation -- 2.3 Extracellular Electrical Stimulation and Electrode Settings -- 3 Results -- 3.1 Differential Activation of Individual ON and OFF RGCs Using a Large HFS Parameter Space -- 3.2 Simulating Population-Based RGC Activity Under Clinically Relevant Conditions -- 4 Discussion and Conclusion -- References -- Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models -- 1 Introduction -- 2 Goals and Means -- 2.1 Electroceuticals and Neuromodulation -- 2.2 Benefits of Numerical Modeling -- 2.3 The Role of Simple Versus Complex Models -- 2.4 Ockhamś Razor Drives All Modeling -- 2.5 Capturing the Required Level of Detail -- 2.6 Which Neural Circuitry Software? -- 2.7 Initial Conditions -- 2.8 Calibration and Validation -- 3 The Functional Requirements -- 4 Conclusion -- References. , Part VI: High-Frequency and Radiofrequency Modeling.

Additional Edition: Print version: Makarov, Sergey N. Brain and Human Body Modeling 2020 Cham : Springer International Publishing AG,c2020 ISBN 9783030456221

Language: English

Keywords: Electronic books.

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Format: 1 online resource (407 pages)

ISBN: 9783030456238 , 3030456234

Note: Introduction.- Tumor Treating Fields Dosimetry and Treatment Planning.- A Theory of Mechanisms Underlying 200 kHz AC Electric Fields Effects on Tumor Cell Structures.- A thermal study of Tumor Treating Fields for glioblastoma therapy.- Improving Tumor Treating Fields with Skull Remodeling Surgery. Surgery Planning and Treatment Evaluation with Finite Element Methods.- A Computational FEM Parcelled-Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation.- Computer Model of Electroconvulsive Therapy with Tractography Analysis.- Personalization of multi-electrode setups in tCS: methods and advantages.- Solving High-Resolution Forward Problems for Extra- and Intracranial Neurophysiological Recordings Using Boundary Element Fast Multipole Method.- Modeling Primary Fields of TMS Coils with the Fast Multipole Method.- Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models.- A miniaturized ultra-focal magnetic stimulator and its preliminary application to the peripheral nervous system.- Modelling studies of non-invasive electric and magnetic stimulation of the spinal cord.- Simplifying the Numerical Human Model with k-means Clustering Method.- Using Anatomical Human Body Model for FEM SAR Simulation of a 3T MRI System.- RF-Induced Unintended Stimulation for Implantable Medical Devices in MRI.

Additional Edition: 3030456226

Additional Edition: 9783030456221

Language: English

Keywords: Electronic books.

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UID:

Format: 1 Online-Ressource.

ISBN: 978-3-030-45623-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-45622-1

Language: English

Keywords: Konferenzschrift

DOI: 10.1007/978-3-030-45623-8

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032294320&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

UID:

Format: 1 Online-Ressource.

ISBN: 978-3-030-45623-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-45622-1

Language: English

Keywords: Konferenzschrift

DOI: 10.1007/978-3-030-45623-8

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032294320&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

UID:

Format: 1 online resource (XI, 407 p. 223 illus., 199 illus. in color.)

Edition: 1st ed. 2021.

ISBN: 3-030-45623-4

Content: This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techniques available to assess a given technology’s safety and efficacy in a timely and efficient manner. Describes computational human body phantom construction and application; Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations; Includes a survey of modern applications for which computational human phantoms are critical.

Note: Introduction -- Tumor Treating Fields Dosimetry and Treatment Planning -- A Theory of Mechanisms Underlying 200 kHz AC Electric Fields Effects on Tumor Cell Structures -- A thermal study of Tumor Treating Fields for glioblastoma therapy -- Improving Tumor Treating Fields with Skull Remodeling Surgery. Surgery Planning and Treatment Evaluation with Finite Element Methods -- A Computational FEM Parcelled-Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation -- Computer Model of Electroconvulsive Therapy with Tractography Analysis -- Personalization of multi-electrode setups in tCS: methods and advantages -- Solving High-Resolution Forward Problems for Extra- and Intracranial Neurophysiological Recordings Using Boundary Element Fast Multipole Method -- Modeling Primary Fields of TMS Coils with the Fast Multipole Method -- Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models -- A miniaturized ultra-focal magnetic stimulator and its preliminary application to the peripheral nervous system -- Modelling studies of non-invasive electric and magnetic stimulation of the spinal cord -- Simplifying the Numerical Human Model with k-means Clustering Method -- Using Anatomical Human Body Model for FEM SAR Simulation of a 3T MRI System -- RF-Induced Unintended Stimulation for Implantable Medical Devices in MRI. , English

Additional Edition: ISBN 3-030-45622-6

Language: English

DOI: 10.1007/978-3-030-45623-8

UID:

Format: XI, 407 p. 223 illus., 199 illus. in color. , online resource.

Edition: 1st ed. 2021.

ISBN: 9783030456238

Content: This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book's coverage of the latest models and techniques available to assess a given technology's safety and efficacy in a timely and efficient manner. Describes computational human body phantom construction and application; Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations; Includes a survey of modern applications for which computational human phantoms are critical.

Note: Introduction -- Tumor Treating Fields Dosimetry and Treatment Planning -- A Theory of Mechanisms Underlying 200 kHz AC Electric Fields Effects on Tumor Cell Structures -- A thermal study of Tumor Treating Fields for glioblastoma therapy -- Improving Tumor Treating Fields with Skull Remodeling Surgery. Surgery Planning and Treatment Evaluation with Finite Element Methods -- A Computational FEM Parcelled-Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation -- Computer Model of Electroconvulsive Therapy with Tractography Analysis -- Personalization of multi-electrode setups in tCS: methods and advantages -- Solving High-Resolution Forward Problems for Extra- and Intracranial Neurophysiological Recordings Using Boundary Element Fast Multipole Method -- Modeling Primary Fields of TMS Coils with the Fast Multipole Method -- Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models -- A miniaturized ultra-focal magnetic stimulator and its preliminary application to the peripheral nervous system -- Modelling studies of non-invasive electric and magnetic stimulation of the spinal cord -- Simplifying the Numerical Human Model with k-means Clustering Method -- Using Anatomical Human Body Model for FEM SAR Simulation of a 3T MRI System -- RF-Induced Unintended Stimulation for Implantable Medical Devices in MRI.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783030456221

Additional Edition: Printed edition: ISBN 9783030456245

Additional Edition: Printed edition: ISBN 9783030456252

Language: English

DOI: 10.1007/978-3-030-45623-8

URL: https://doi.org/10.1007/978-3-030-45623-8