Moving correlations and chaos in the brain during closed eyes basal conditions
| Autor: | Fernando Maureira, Felisa M. Córdova, Gonzalo Flores, C Sergio Muñoz, M Hernán Díaz, Ignacio Fuentes, Fernando García, Pablo Maertens, Felipe Parra |
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| Rok vydání: | 2018 |
| Předmět: |
Hurst exponent
medicine.diagnostic_test Correlation coefficient Resting state fMRI business.industry Computer science 0206 medical engineering Estimator Pattern recognition 02 engineering and technology Electroencephalography 020601 biomedical engineering Term (time) Eeg recording 03 medical and health sciences Nonlinear system 0302 clinical medicine medicine General Earth and Planetary Sciences Artificial intelligence business 030217 neurology & neurosurgery General Environmental Science |
| Zdroj: | ITQM |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2018.10.248 |
| Popis: | In this work we explored the use of linear and nonlinear, statistical approaches to studying basal EEG brain activity. To do this, we used the Moving Correlation Coefficient (MCC), and the Hurst exponent estimator to visualize short and long term EEG behavior during 2 minutes of EEG recording in closed eyes basal conditions. The EEG of 8 subjects served as data source for exploring the time series organization of the EEG in resting state. We found inter-subjects shared network patterns of high synchronic functional connectivity in frontal and right temporo-occipital regions. We also found a diversity of individual different networks of variable degree of synchronicity in the range of -0.5 0.5 for all channels. The short-term approximation to the chaos oscillation (M-Hurst) revealed several individual differences and a potential tool for subject’s characterization. |
| Databáze: | OpenAIRE |
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