Exploiting temporal delays in interpreting EEG/MEG data in terms of brain connectivity
author:
Guido Nolte,
Fraunhofer FIRST
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| Slides | |
| 0:01 | Problem of volume conduction |
| 1:48 | Cross-spectrum |
| 3:30 | EEG-simulation of ERD (two sources) |
| 6:03 | Rest coherence |
| 7:13 | EEG-simulation of ERD (one source) |
| 8:39 | Change in coherence pt 1 |
| 10:46 | Change in coherence pt 2 |
| 11:55 | Observation |
| 15:10 | Explicit derivation |
| 16:19 | Coherence |
| 20:22 | Selfpaced movement - C3-C4 relationships |
| 22:09 | Significance - False Discovery Rate (FDR) |
| 22:57 | Simulated non-interacting sources |
| 25:08 | Results |
| 26:21 | Difference between cross-spectrum pt 1 |
| 26:45 | Difference between cross-spectrum pt 2 |
| 27:17 | Imaginary part - 5 dipoles |
| 28:10 | “Philosophy” pt 1 |
| 29:25 | “Philosophy” pt 2 |
| 30:18 | “Philosophy” pt 3 |
| 31:22 | Pairwise Interacting Source Analysis (PISA) |
| 34:20 | EEG - imagined foot movement |
| 35:31 | Music pt 1 |
| 37:17 | Music pt 2 |
| 37:19 | Example 1 |
| 38:19 | Example 2 |
| 38:38 | Result ISA-pattern |
| 39:40 | Conclusion |
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