Modeling of the BOLD signal using event-related simultaneous EEG-fMRI and convolutional sparse coding analysis

In this work, we employ simultaneous EEG-fMRI data acquired during a visually-guided attention task along with convolutional sparse coding (CSC) analysis to extract transient events from the EEG. Subsequently, we use these events in a standard voxel-wise fMRI analysis and compare the resultant activ...

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Vydáno v:Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Ročník 2019; s. 181 - 184
Hlavní autoři: Prokopiou, Prokopis C., Mitsis, Georgios D.
Médium: Konferenční příspěvek Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.07.2019
Témata:
Brain
Brain Mapping
Brain modeling
Convolutional codes
Electroencephalography
Functional magnetic resonance imaging
Magnetic Resonance Imaging
Reaction Time
Task analysis
Transient analysis
Visualization
ISSN:1557-170X, 2694-0604, 1558-4615, 2694-0604
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Shrnutí:In this work, we employ simultaneous EEG-fMRI data acquired during a visually-guided attention task along with convolutional sparse coding (CSC) analysis to extract transient events from the EEG. Subsequently, we use these events in a standard voxel-wise fMRI analysis and compare the resultant activation maps with maps obtained using the subjects' response time (RT) in detection of visual target stimuli. We also employ FIR models to obtain HRF estimates using the detected CSC events. Our results show concordance between the resultant activation maps and consistent HRF shapes for most of the subjects, suggesting that CSC can be used as a tool for the detection of reliable events in the EEG.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1557-170X
2694-0604
1558-4615
2694-0604
DOI:10.1109/EMBC.2019.8857311