Recent Advances in EEG-fMRI Integration
Chair
Tom Eichele
Abstract
Multimodal integration of different imaging modalities has received much traction in neuroscience in recent years. In particular, concurrent EEG-fMRI studies with subsequent time-series analysis on a trial-by-trial level in the time or frequency domain have propelled forward our understanding about the physiology of EEG and fMRI signals, neurovascular coupling, intrinsic activity and event related responses. However, while being increasingly employed for the study of human cognitive function as well as brain pathology, the methodology is still in its infancy and continuously being revised and updated. In order to illustrate the state of the field, the recent advances and challenges we have invited four experts from different labs working with EEG-fMRI: Stefan Debener will lay out the rationale for single trial EEG-fMRI for the study of cognitive function with a focus on independent component analysis (ICA). Petra Ritter will focus on the coupling between different sources of resting state activity in EEG and fMRI, and their interaction with event related activity. Christoph Herrmann will present data from low-noise fMRI optimized for simultaneous recording of auditory evoked potentials. Tom Eichele will describe how parallel and joint ICA models and hemodynamic deconvolution can be used to make sense of multimodal data.
Beiträge
- Role of independent component analysis for the integration of EEG and fMRI
Debener, S. - Spatiotemporal dynamics of spontaneous and evoked EEG-fMRI signals
Ritter, P. - Sound level dependence of auditory evoked potentials: simultaneous EEG recording and low-noise fMRI
Herrmann, C. S., Thärig, S., Behne, S., Schadow, J., Lenz, D., Scheich, H., and Brechmann, A. - Group Independent Component Analysis for mining concurrent EEG-fMRI data
Eichele, T.
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