Chapter 19

Authors: John S. George, David M. Schmidt, David M. Rector and Chris Wood (Los Alamos National Laboratories)

Section 19.1. Introduction
19.1.1: Anatomical MRI
19.1.2: Functional MRI
19.1.3: MEG and EEG

Section 19.2. Multi-Modality Imaging
19.2.1: Co-registration
19.2.2: Physical models
19.2.3: Experimental strategy
19.2.4: Experimental design issues
19.2.5: Event related-fMRI

Section 19.3. NEM Source Localization
19.3.1: NEM forward problem
19.3.2: Forward modeling in realistic geometries
19.3.3: Conductivity estimation via MRI
19.3.4: Finite difference calculation
19.3.5: The neural electromagnetic inverse problem

Section 19.4. Combined fMRI and MEG/EEG
19.4.1: Extensions to conventional analytical methods
19.4.2: Bayesian inference
19.4.3: In-field EEG

Section 19.5. Impedance Tomography
19.5.1: Constrained parameter estimation
19.5.2: Functional EIT

Section 19.6. Optical Methods
19.6.1: Haemodynamic reference signals
19.6.2: Fast optical transient responses
19.6.3: Invasive dynamic microscopic imaging
19.6.4: Noninvasive studies
19.6.5: Time of flight tomography and spectroscopy
19.6.6: Fast noninvasive optical responses

Section 19.7. Transcranial Magnetic Stimulation
19.7.1: TMS technology
19.7.2: TMS applications

Section 19.8. Advanced fMRI Techniques
19.8.1: Diffusion imaging
19.8.2: MRI measurements of neural magnetic fields

Section 19.9. Summary