Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach
Imagined activities could actually be a cognitive basis for creative thinking. However, it is still unknown how they might be related with the architecture of the brain. A recent study has proved the relevance of the imagined activity when investigating neuronal diseases by comparing variations in t...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2019-08-01
|
| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fphy.2019.00115/full |
| _version_ | 1811326758464520192 |
|---|---|
| author | Roman Baravalle Natalí Guisande Mauro Granado Osvaldo A. Rosso Osvaldo A. Rosso Fernando Montani |
| author_facet | Roman Baravalle Natalí Guisande Mauro Granado Osvaldo A. Rosso Osvaldo A. Rosso Fernando Montani |
| author_sort | Roman Baravalle |
| collection | DOAJ |
| description | Imagined activities could actually be a cognitive basis for creative thinking. However, it is still unknown how they might be related with the architecture of the brain. A recent study has proved the relevance of the imagined activity when investigating neuronal diseases by comparing variations in the neuronal activity of patients with brain diseases and healthy subjects. One important aspect of the scientific methodologies focused on neuronal diseases is therefore to provide a trustable methodology that could allow us to distinguish between realized and imagined activities in the brain. The electroencephalogram is the result of synchronized action of the cerebrum, and our end is portraying the network dynamics through the neuronal responses when the subjects perform visuomotor and specific imaginary assignments. We use a subtle information theoretical approach accounting for the time causality of the signal and the closeness centrality of the different nodes. More specifically we perform estimations of the probability distribution of the data associated to each node using the Bandt and Pompe approach to account for the causality of the electroencephalographic signals. We calculate the Jensen-Shannon distance across different nodes, and then we quantify how fast the information flow would be through a given node to other nodes computing the closeness centrality. We perform a statistical analysis to compare the closeness centrality considering the different rhythmic oscillation bands for each node taking into account imagined and visuomotor tasks. Our discoveries stress the pertinence of the alpha band while performing and distinguishing the specific imaginary or visuomotor assignments. |
| first_indexed | 2024-04-13T14:54:37Z |
| format | Article |
| id | doaj.art-be74b8a32dc348b1b3d4dd7e153998f5 |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-13T14:54:37Z |
| publishDate | 2019-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-be74b8a32dc348b1b3d4dd7e153998f52022-12-22T02:42:28ZengFrontiers Media S.A.Frontiers in Physics2296-424X2019-08-01710.3389/fphy.2019.00115459704Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network ApproachRoman Baravalle0Natalí Guisande1Mauro Granado2Osvaldo A. Rosso3Osvaldo A. Rosso4Fernando Montani5Instituto de Física La Plata (IFLP), CONICET CCT-La Plata & Universidad Nacional de La Plata (UNLP), La Plata, ArgentinaInstituto de Física La Plata (IFLP), CONICET CCT-La Plata & Universidad Nacional de La Plata (UNLP), La Plata, ArgentinaInstituto de Física La Plata (IFLP), CONICET CCT-La Plata & Universidad Nacional de La Plata (UNLP), La Plata, ArgentinaDepartamento de Informática en Salud, CONICET, Hospital Italiano de Buenos Aires, Buenos Aires, ArgentinaInstituto de Física, Universidade Federal de Alagoas, Maceió, BrazilInstituto de Física La Plata (IFLP), CONICET CCT-La Plata & Universidad Nacional de La Plata (UNLP), La Plata, ArgentinaImagined activities could actually be a cognitive basis for creative thinking. However, it is still unknown how they might be related with the architecture of the brain. A recent study has proved the relevance of the imagined activity when investigating neuronal diseases by comparing variations in the neuronal activity of patients with brain diseases and healthy subjects. One important aspect of the scientific methodologies focused on neuronal diseases is therefore to provide a trustable methodology that could allow us to distinguish between realized and imagined activities in the brain. The electroencephalogram is the result of synchronized action of the cerebrum, and our end is portraying the network dynamics through the neuronal responses when the subjects perform visuomotor and specific imaginary assignments. We use a subtle information theoretical approach accounting for the time causality of the signal and the closeness centrality of the different nodes. More specifically we perform estimations of the probability distribution of the data associated to each node using the Bandt and Pompe approach to account for the causality of the electroencephalographic signals. We calculate the Jensen-Shannon distance across different nodes, and then we quantify how fast the information flow would be through a given node to other nodes computing the closeness centrality. We perform a statistical analysis to compare the closeness centrality considering the different rhythmic oscillation bands for each node taking into account imagined and visuomotor tasks. Our discoveries stress the pertinence of the alpha band while performing and distinguishing the specific imaginary or visuomotor assignments.https://www.frontiersin.org/article/10.3389/fphy.2019.00115/fullneuronal dynamicsEEGalpha oscillationsvisuomotor tasksimagined tasks |
| spellingShingle | Roman Baravalle Natalí Guisande Mauro Granado Osvaldo A. Rosso Osvaldo A. Rosso Fernando Montani Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach Frontiers in Physics neuronal dynamics EEG alpha oscillations visuomotor tasks imagined tasks |
| title | Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach |
| title_full | Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach |
| title_fullStr | Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach |
| title_full_unstemmed | Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach |
| title_short | Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach |
| title_sort | characterization of visuomotor imaginary movements in eeg an information theory and complex network approach |
| topic | neuronal dynamics EEG alpha oscillations visuomotor tasks imagined tasks |
| url | https://www.frontiersin.org/article/10.3389/fphy.2019.00115/full |
| work_keys_str_mv | AT romanbaravalle characterizationofvisuomotorimaginarymovementsineeganinformationtheoryandcomplexnetworkapproach AT nataliguisande characterizationofvisuomotorimaginarymovementsineeganinformationtheoryandcomplexnetworkapproach AT maurogranado characterizationofvisuomotorimaginarymovementsineeganinformationtheoryandcomplexnetworkapproach AT osvaldoarosso characterizationofvisuomotorimaginarymovementsineeganinformationtheoryandcomplexnetworkapproach AT osvaldoarosso characterizationofvisuomotorimaginarymovementsineeganinformationtheoryandcomplexnetworkapproach AT fernandomontani characterizationofvisuomotorimaginarymovementsineeganinformationtheoryandcomplexnetworkapproach |