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Full Description
It is common to study the electric activity of neurons by measuring the electric potential in the extracellular space of the brain. However, interpreting such measurements requires knowledge of the biophysics underlying the electric signals. Written by leading experts in the field, this volume presents the biophysical foundations of the signals as well as results from long-term research into biophysics-based forward-modeling of extracellular brain signals. This includes applications using the open-source simulation tool LFPy, developed and provided by the authors. Starting with the physical theory of electricity in the brain, this book explains how this theory is used to simulate neuronal activity and the resulting extracellular potentials. Example applications of the theory to model representations of real neural systems are included throughout, making this an invaluable resource for students and scientists who wish to understand the brain through analysis of electric brain signals, using biophysics-based modeling.
Contents
Preface; Abbreviations; Reserved physical symbols and quantities; 1. Introduction; 2. Charges, currents, fields and potentials in the brain; 3. Neural dynamics; 4. Volume-conductor theory; 5. Conductivity of brain tissue; 6. Schemes for computing extracellular potentials; 7. Spikes; 8. Local Field Potentials (LFPs); 9. Electroencephalography (EEG); 10. Electrocorticography (ECoG); 11. Magnetoencephalography (MEG); 12. Diffusion potentials in brain tissue; 13. Final comments and outlook; Appendix A frequency-dependent length constant; Appendix B derivation of the current-dipole approximation; Appendix C electric stimulation; Appendix D derivation of point-source equation for anisotropic medium; Appendix E statistical measures; Appendix F fourier-based analyses; Appendix G derivation of formulas for population signals; Appendix H equations for computing magnetic fields; Appendix I derivation of the MC+ED scheme; References; Index.
