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Generalized EEG-FMRI spectral and spatiospectral heuristic models
- Source :
- ISBI
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- 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.
- Subjects :
- medicine.diagnostic_test
Computer science
Speech recognition
05 social sciences
Mutual information
Stimulus (physiology)
Electroencephalography
EEG-fMRI
050105 experimental psychology
Visualization
03 medical and health sciences
0302 clinical medicine
medicine
0501 psychology and cognitive sciences
Oddball paradigm
030217 neurology & neurosurgery
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
- Accession number :
- edsair.doi...........fd3998c4ebfabb6f4a58d0b7aad7503a