Name
Title | ||
|---|---|---|
Functional Semi-Blind Source Separation Identifies Primary Motor Area Without Active Motor Execution |
Abstract | ||
|---|---|---|
High time resolution techniques are crucial for investigating the brain in action. Here, we propose a method to identify a section of the upper-limb motor area representation (FS_M1) by means of electroencephalographic (EEG) signals recorded during a completely passive condition (FS_M1bySS). We delivered a galvanic stimulation to the median nerve and we applied to EEG the semi-Blind Source Separation (s-BSS) algorithm named Functional Source Separation (FSS). In order to prove that FS_M1bySS is part of FS_M1, we also collected EEG in a motor condition, i.e. during a voluntary movement task (isometric handgrip) and in a rest condition, i.e. at rest with eyes open and closed. In motor condition, we show that the cortico-muscular coherence (CMC) of FS_M1bySS does not differ from FS_M1 CMC (0.04 for both sources). Moreover, we show that the FS_M1bySS's ongoing whole band activity during Motor and both rest conditions displays high mutual information and time correlation with FS_M1 (above 0.900 and 0.800, respectively) whereas much smaller ones with the primary somatosensory cortex S1 (about 0.300 and 0.500, p < 0.001). FS_M1bySS as a marker of the upper-limb FS_M1 representation obtainable without the execution of an active motor task is a great achievement of the FSS algorithm, relevant in most experimental, neurological and psychiatric protocols. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1142/S0129065717500472 | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS |
Keywords | Field | DocType |
Functional source separation (FSS), semi-blind source separation (s-BSS), mutual information (MI), time correlation coefficient (TCC), electroencephalography (EEG), sensory-motor, primary motor | Pattern recognition,Computer science,Coherence (physics),Artificial intelligence,Mutual information,Isometric exercise,Blind signal separation,Source separation,Electroencephalography | Journal |
Volume | Issue | ISSN |
28 | 3 | 0129-0657 |
Citations | PageRank | References |
1 | 0.37 | 18 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Camillo Porcaro | 1 | 77 | 8.22 |
| C. Cottone | 2 | 1 | 1.05 |
| A. Cancelli | 3 | 1 | 1.05 |
| Carlo Salustri | 4 | 8 | 1.93 |
| Franca Tecchio | 5 | 33 | 10.96 |