Name
Abstract | ||
|---|---|---|
Simultaneous EEG-fMRI recording provides great opportunity to study the relationship between synchronous neuronal activity in EEG and blood oxygenation level dependent (BOLD) in fMRI. In this paper a novel semi-blind technique using PARAFAC2 is proposed to investigate the correlation between post-movement beta rebound (PMBR) in beta band and BOLD. In this method, the instantaneous power of EEG in beta band representing the PMBR is calculated and used as a constraint for PARAFAC2 to detect the fMRI voxels activated during PMBR. The results confirm that the proposed method effectively detects the area in the brain which is responsible for beta rebound. The results are compared with those of general linear model (GLM) that completely relies on the predefined fMRI time-course. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638855 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
biomedical MRI,blind source separation,blood,brain,electroencephalography,medical signal processing,sensor fusion,BOLD,EEG instantaneous power,EEG-fMRI integration,PARAFAC2,PMBR,beta band,blood oxygenation level dependent activity,brain,partially constrained tensor factorization,post movement beta rebound,predefined fMRI time course,semiblind technique,simultaneous EEG-fMRI recording,synchronous neuronal activity,PARAFAC2,Post-movement beta rebound,Simultaneous EEG-fMRI | Voxel,Pattern recognition,Computer science,General linear model,Correlation,Artificial intelligence,Beta (finance),Tensor factorization,Blind signal separation,Electroencephalography,EEG-fMRI | Conference |
ISSN | Citations | PageRank |
1520-6149 | 5 | 0.46 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saideh Ferdowsi | 1 | 147 | 10.85 |
| Vahid Abolghasemi | 2 | 274 | 22.58 |
| Saeid Sanei | 3 | 530 | 72.63 |