Name
Abstract | ||
|---|---|---|
The past findings have suggested that temporal correlation may relate the communications between the distributed areas. There are some studies in Magnetoencephalography and electroencephalography to analyze the functional connectivity between cortical areas with the oscillations feature of neuronal activity. However, it is also important to observe the functional connectivity through temporal correlation between cortical areas. We proposed a beamformer-based approach which exploits a maximum correlation criterion to maximize the significance level of correlation between brain activities. This criterion leads to a closed-form solution of the dipole orientation. Experiments with simulation data clearly demonstrate the effectiveness, necessity, and accuracy of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/BIBE.2009.67 | BIBE |
Keywords | Field | DocType |
correlated brain activities,functional connectivity,dipole orientation,closed-form solution,cortical area,beamformer-based spatiotemporal imaging,brain activity,neuronal activity,maximum correlation criterion,temporal correlation,beamformer-based approach,oscillations,magnetic resonance imaging,surface reconstruction,closed form solution,magnetoencephalography,lead,correlation,image analysis,covariance matrix,computer science,electroencephalography,inverse problems | Computer vision,Pattern recognition,Computer science,Correlation,Artificial intelligence,Covariance matrix,Magnetoencephalography,Machine learning,Electroencephalography | Conference |
ISSN | Citations | PageRank |
2471-7819 | 3 | 0.47 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| I-Tzu Chen | 1 | 5 | 1.17 |
| Yong-Sheng Chen | 2 | 314 | 30.12 |
| Li-Fen Chen | 3 | 39 | 7.16 |