Contents

• Foreword
  Alvaro Pascual-Leone.
• I. Tumor Treating Fields
  • Tumor-Treating Fields at EMBC 2019: A Roadmap to Developing a Framework for TTFields Dosimetry and Treatment Planning
    Ze’ev Bomzon, Cornelia Wenger, Martin Proescholdt, and Suyash Mohan.
    Published online: August 6, 2020.
    • 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?
    Kristen W. Carlson, Jack A. Tuszynski, Socrates Dokos, Nirmal Paudel, Thomas Dreeben, and Ze’ev Bomzon.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Empirical Clues to TTFields MoA
    • 3. Candidate Mechanisms of Action (MoA)
    • 4. Conclusion
    • Acknowledgements
    • References
  • A Thermal Study of Tumor-Treating Fields for Glioblastoma Therapy
    Nichal Gentilal, Ricardo Salvador, and Pedro Cavaleiro Miranda.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Methods
    • 3. Results
    • 4. Limitations and Future Work
    • Acknowledgements
    • References
  • Improving Tumor-Treating Fields with Skull Remodeling Surgery, Surgery Planning, and Treatment Evaluation with Finite Element Methods
    Nikola Mikic and Anders R. Korshoej.
    Published online: August 6, 2020.
    • 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
• II. Non-invasive Neurostimulation – Brain
  • A Computational Parcellated Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation
    M. A. Callejón-Leblic and Pedro C. Miranda.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Relation Between EF Magnitude and Orientation and tDCS-Physiological Effects
    • 3. A Computational Parcellated Brain Model in tDCS
    • 4. Results
    • 5. Summary and Discussion
    • 6. Conclusion
    • References
  • Computational Models of Brain Stimulation with Tractography Analysis
    Stefanie Riel, Mohammad Bashiri, Werner Hemmert, and Siwei Bai.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Methods
    • 3. Results
    • 4. Discussion
    • Acknowledgements
    • Funding
    • References
  • Personalization of Multi-electrode Setups in tCS/tES: Methods and Advantages
    R. Salvador, M. C. Biagi, O. Puonti, M. Splittgerber, V. Moliadze, M. Siniatchkin, A. Thielscher, and G. Ruffini.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Methods
    • 3. Results
    • 4. Discussion
    • Acknowledgments
    • References
• III. Non-invasive Neurostimulation – Spinal Cord and Peripheral Nervous System
  • Modelling Studies of Non-invasive Electric and Magnetic Stimulation of the Spinal Cord
    Sofia Rita Fernandes, Ricardo Salvador, Mamede de Carvalho, and Pedro Cavaleiro Miranda.
    Published online: August 6, 2020.
    • 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)
    • 4. Main Characteristics of the Electric Field in NISS
    • 5. What Lies Ahead in Non-invasive Spinal Stimulation Modelling Studies
    • Acknowledgements
    • References
  • A Miniaturized Ultra-Focal Magnetic Stimulator and Its Preliminary Application to the Peripheral Nervous System
    Micol Colella, Micaela Liberti, Francesca Apollonio, and Giorgio Bonmassar.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Models and Methods
    • 3. Results
    • 4. Discussion and Conclusion
    • References
• IV. Modeling of Neurophysiological Recordings
  • Combining Noninvasive Electromagnetic and Hemodynamic Measures of Human Brain Activity
    Fa-Hsuan Lin, Thomas Witzel, Matti S. Hämäläinen, and Aapo Nummenmaa.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Methods
    • 3. Discussion
    • Acknowledgments
    • References
  • Multiscale Modeling of EEG/MEG Response of a Compact Cluster of Tightly Spaced Pyramidal Neocortical Neurons
    Sergey N. Makarov, Jyrki Ahveninen, Matti Hämäläinen, Yoshio Okada, Gregory M. Noetscher, and Aapo Nummenmaa.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Materials and Methods
    • 3. Results
    • 4. Conclusions
    • Acknowledgments
    • References
  • Robustness in Neural Circuits
    Jeffrey E. Arle, Longzhi Mei, and Kristen W. Carlson.
    Published online: August 6, 2020.
    • 1. Introduction: Stability and Resilience – “Robustness”
    • 2. Methods
    • 3. Results
    • 4. Discussion
    • 5. Conclusion
    • Acknowledgment
    • References
• V. Neural Circuits. Connectome
  • Insights from Computational Modelling: Selective Stimulation of Retinal Ganglion Cells
    Tianruo Guo, David Tsai, Siwei Bai, Mohit Shivdasani, Madhuvanthi Muralidharan, Liming Li, Socrates Dokos, and Nigel H. Lovell.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Materials and Methods
    • 3. Results
    • 4. Discussion and Conclusion
    • Acknowledgments
    • References
  • Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models
    Kristen W. Carlson, Jay L. Shils, Longzhi Mei, and Jeffrey E. Arle.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Goals and Means
    • 3. The Functional Requirements
    • 4. Conclusion
    • Acknowledgments
    • References
  • Simplifying the Numerical Human Model with k-means Clustering Method
    Kyoko Fujimoto, Leonardo M. Angelone, Sunder S. Rajan, and Maria Ida Iacono.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Methods
    • 3. Results
    • 4. Discussion
    • 5. Conclusion
    • Acknowledgments
    • References
• VI. High-Frequency and Radiofrequency Modeling
  • Using Anatomical Human Body Model for FEM SAR Simulation of a 3T MRI System
    Alexander Prokop, Tilmann Wittig, and Abhay Morey.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Simulation Setup
    • 3. Results
    • 4. SAR Profiles
    • 5. Conclusion
    • References
  • RF-Induced Unintended Stimulation for Implantable Medical Devices in MRI
    James E. Brown, Rui Qiang, Paul J. Stadnik, Larry J. Stotts, and Jeffrey A. Von Arx.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Evaluation of RF-Induced Unintended Stimulation Using Computational Human Models
    • 3. Approach Applied to a Pacemaker System
    • 4. Variability of Induced RF Level
    • 5. Discussion
    • References
  • Estimating Electric Field and SAR in Tissue in the Proximity of RF Coils
    Rosti Lemdiasov, Arun Venkatasubramanian, and Ranga Jegadeesan.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. SAR in the Tissue
    • 3. Tissues
    • 4. Two Components of Electric Field Inside the Tissue
    • 5. “Uniform Current” Approximation
    • 6. Getting Rid of the Block of Tissue
    • 7. Maximum Allowed Current
    • 8. Verification: HFSS vs. “Uniform Current”
    • 9. Skin Depth Attenuation in the Tissue
    • 10. Conclusions
    • References
  • The CAD-Compatible VHP-Male Computational Phantom
    Gregory M. Noetscher.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Materials and Methods
    • 3. Results and Discussion
    • 4. Conclusions
    • Acknowledgements
    • References
  • Preprocessing General Head Models for BEM-FMM Modeling Pertinent to Brain Stimulation
    William A. Wartman.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Methods
    • 3. Results
    • 4. Conclusion
    • References
• VII. Relevant Modeling Topics
  • Profiling General-Purpose Fast Multipole Method (FMM) Using Human Head Topology
    Dung Ngoc Pham.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Materials and Methods
    • 3. Results
    • 4. Discussion and Conclusions
    • References
  • Analytical Solution for the Electric Field Response Generated by a Nonconducting Ellipsoid (Prolate Spheroid) in a Conducting Fluid Subject to an External Electric Field
    Andrey B. Yakovlev and Valeriya S. Federyaeva.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Materials and Methods
    • 3. Results for the Potential and the Electric Field
    • 4. Results for the Surface Charge Density
    • References
  • Example of Steady-State Electric-Current Modeling of a Complicated Cellular Topology with Boundary Element Fast Multipole Method
    Vishwanath Iyer, William A. Wartman, Aapo Nummenmaa, and Sergey N. Makarov.
    Published online: August 6, 2020.
    • 1. Introduction
    • 2. Materials and Methods
    • 3. Results
    • 4. Discussion and Conclusion
    • References