Brain Source Localization Using EEG Signal Analysis - Info and Reading Options

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Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Authors -- List of symbols -- List of abbreviations -- Chapter 1: Introduction -- 1.1 Background -- 1.1.1 Human brain anatomy and neurophysiology -- 1.1.2 Modern neuroimaging techniques for brain disorders -- 1.1.3 Economic burden due to brain disorders -- 1.1.4 Potential applications of brain source localization -- Summary -- References -- Chapter 2: Neuroimaging techniques for brain analysis -- Introduction -- 2.1 fMRI, EEG, MEG for brain applications -- 2.1.1 EEG: An introduction -- 2.1.1.1 EEG rhythms -- 2.1.1.2 Signal preprocessing -- 2.1.1.3 Applications of EEG -- 2.1.2 EEG source analysis -- 2.1.2.1 Forward and inverse problems -- 2.1.3 Inverse solutions for EEG source localization -- 2.1.4 Potential applications of EEG source localization -- Summary -- References -- Chapter 3: EEG forward problem I: Mathematical background -- Introduction -- 3.1 Maxwell's equations in EEG inverse problems -- 3.2 Quasi-static approximation for head modeling -- 3.3 Potential derivation for the forward problem -- 3.3.1 Boundary conditions -- 3.4 Dipole approximation and conductivity estimation -- Summary -- References -- Chapter 4: EEG forward problem II: Head modeling approaches -- Introduction -- 4.1 Analytical methods versus numerical methods for head modeling -- 4.1.1 Analytical head modeling -- 4.1.2 Numerical head models -- 4.2 Finite difference method -- 4.3 Finite element method -- 4.4 Boundary element methods -- Summary -- References -- Chapter 5: EEG inverse problem I: Classical techniques -- Introduction -- 5.1 Minimum norm estimation -- 5.2 Low-resolution brain electromagnetic tomography -- 5.3 Standardized LORETA -- 5.4 Exact LORETA -- 5.5 Focal underdetermined system solution -- Summary -- References

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