EEG - fMRI

<p>PartI Background: Principles of Multimodal Functional Imaging and Data Integration.- EEG: Origin and Measurement.- The Basics of Functional Magnetic Resonance Imaging.- Locally Measured Neuronal Correlates of Functional MRI Signals.- What Can fMRI Add to the ERP Story?.- The Added Value of EEG–fMRI in Imaging Neuroscience.- Part II Technical and Methodological Aspects of Combined EEG–fMRI Experiments: EEG Instrumentation and Safety.- EEG Quality: Origin and Reduction of the EEG Cardiac-Related Artefact.- EEG Quality: The Image Acquisition Artefact.- Image Quality Issues.- Specific Issues Related to EEG–fMRI at B0 7 T and above.- Experimental Design and Data Analysis Strategies.- Real-time fMRI with EEG.- Brain stimulation with multimodal acquisitions.- Part III Applications of EEG–fMRI : Resting State: Brain Rhythms.- Sleep.- Part IV Applications of EEG–fMRI : Resting State: Clinical Applications: EEG–fMRI in Adults with Focal Epilepsy.- EEG–fMRI in Idiopathic Generalised Epilepsy (Adults).- EEG–fMRI in Children with Epilepsy.- EEG–fMRI in Psychiatric Disorders .- Part V Applications of EEG–fMRI : Resting State: Activation Studies: Combining EEG and fMRI in Pain Research.- Simultaneous EEG and fMRI of the Human.- Part VI Applications of EEG–fMRI : Resting State: Auditory System: Visual System.- Cognition.- Part VI Applications of EEG–fMRI : Resting State: Special Topics: Neuronal Models for EEG–fMRI Integration.- BOLD Response and EEG Gamma Oscillations.- EEG–fMRI in Animal Models.- EEG–fMRI Information Fusion: Biophysics and Data Analysis.- EEG-fMRI and brain connectivity (data fusion and modelling).- EEG–fMRI Information Fusion: Empirical approaches.- Outlook.</p>