Prediction of Successful Personal Cognitive Performance Based on Integrated Characteristics of Multichannel EEG
| Autor: | E. A. Panasevich, M. I. Trifonov |
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| Rok vydání: | 2018 |
| Předmět: |
Elementary cognitive task
Multivariate statistics 010504 meteorology & atmospheric sciences medicine.diagnostic_test Physiology business.industry Wechsler Adult Intelligence Scale Pattern recognition Cognition Electroencephalography 01 natural sciences Block design 03 medical and health sciences 0302 clinical medicine Physiology (medical) medicine Range (statistics) Effects of sleep deprivation on cognitive performance Artificial intelligence business 030217 neurology & neurosurgery 0105 earth and related environmental sciences Mathematics |
| Zdroj: | Human Physiology. 44:208-215 |
| ISSN: | 1608-3164 0362-1197 |
| Popis: | The present study aimed to assess the possible relationship between psychometric and electroencephalographic (EEG) parameters in humans. Normalized parameters of the integrated spatial (p S ) and integrated temporal (p T ) regularities of real resting EEG with the eyes closed were calculated. The algorithm of estimation of these parameters was based on the calculation of empirical multivariate temporal structure function of the first order. It was revealed that p S and p T parameters varied in a specific range, which was characterized by well-defined individual configuration reflecting the variability type (spatial, temporal, or mixed) of resting EEG. Obtained p S and p T parameters were compared to the speed of performed cognitive activity. The cognitive tasks included nonverbal subtests of the Wechsler Adult Intelligence Scale (WAIS) including block design according to a given template and construction of an object without any template, and motor probe. The successful performance on cognitive tasks was detected to be achieved with different combinations of p S and p T parameters in different subjects. Thus, the same intelligence resource can probably be organized with nonlinear principle in different subjects. |
| Databáze: | OpenAIRE |
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