Publication details

GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS

Title in English Generalized EEG-FMRI Spectral and Spatiospectral Heuristic Models
Authors

LABOUNEK René JANECEK David MAREČEK Radek LAMOŠ Martin SLAVÍČEK Tomáš MIKL Michal BASTINEC Jaromir BEDNAŘÍK Petr BRIDWELL David BRÁZDIL Milan JAN Jiri

Year of publication 2016
Type Article in Proceedings
Conference 2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
MU Faculty or unit

Central European Institute of Technology

Citation
Web http://ieeexplore.ieee.org/document/7493379/?arnumber=7493379&newsearch=true&queryText=labounek
Doi http://dx.doi.org/10.1109/ISBI.2016.7493379
Field Medical equipment
Keywords Simultaneous EEG-fMRI; heuristic model; GLM; ICA
Description The aim of the current study is visualization of task-related variability in EEG-fMRI data, performed as a blind-search analysis without stimulus timings, using a methodology that is based on Kilner's et al. heuristic approach [2]. We show that filters of the relative EEG spectra with different frequency responses visualize different task-related brain networks. The effect is more pronounced within an event-related oddball paradigm (i.e. detecting rare visual targets) than within a block-design semantic decision paradigm (i.e. detecting semantic errors). The mutual information between different EEG-fMRI activation maps calculated with filters of different frequency responses appears stable between the different paradigms. We also introduce preliminary results implementing the heuristic analysis with spatiospectral EEG components, where the filter response has two dimensions and depends on frequency and channels.
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