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Table of contents
1 Introduction
1.1 EEG Source Localization
1.2 Epilepsy
1.3 Electrophysiological Measurements
1.3.1 Electroencephalography
1.3.2 Magnetoencephalography
1.3.3 Stereo-electroencephalography
1.3.4 Electrocorticogram
1.4 Brain Imaging
1.4.1 Computed Tomography
1.4.2 Magnetic Resonance Imaging
1.4.3 Positron Emission Tomography
1.4.4 Functional Magnetic Resonance Imaging
1.5 Brain Stimulation
1.5.1 Electrical Impedance Tomography
1.5.2 Deep Brain Stimulation
1.5.3 Transcranial Magnetic Stimulation
1.5.4 Transcranial Direct Current Stimulation
1.6 The Conductivity of the Head Model
1.6.1 The Eect of Conductivity on Source Localization
1.6.2 State of the Art
1.7 Summary
2 Head Models
2.1 Background
2.2 The Source Model
2.3 The Geometry of the Head Model
2.3.1 State of the Art
2.3.2 The Finite Element Head Model
2.3.3 Realistic Head Model for Three Patients
2.4 Summary
3 A Comparison of Optimization Methods
3.1 Theoretical Background
3.1.1 The Genetic Algorithm
3.1.2 The Nelder-Mead Simplex Algorithm
3.1.3 The Simulating Annealing
3.2 Materials and Methods
3.3 Results
3.4 Discussion
3.5 Summary
4 Sensitivity Analysis
4.1 Materials and Method
4.2 Standard Measurement Positions
4.2.1 RDM on Five-compartment
4.2.2 Relative Error on Five-compartment
4.2.3 RDM on Three-compartment
4.2.4 RDM on Five-compartment-Patient(2)
4.3 Brain Nodes As Measurements
4.4 Local Measurements
4.5 Changing the Measurement Positions
4.6 Discussion
4.7 Summary
5 In-vivo Conductivity Estimation
5.1 Materials
5.2 Preprocessing and Denoising SEEG/EEG Signals
5.3 Optimizing the conductivities
5.3.1 SEEG-based in-vivo Conductivity Estimation
5.3.2 EEG-based in-vivo Conductivity Estimation
5.3.3 SEEG+EEG-based in-vivo Conductivity Estimation
5.4 Reducing Number of Measurements
5.5 Head Conductivity Frequency Response
5.6 Localisation of the IES
5.7 Discussion
5.8 Summary
6 Conclusion and Perspectives
6.1 Summary and Conclusion
6.2 Perspectives
Bibliography
