Movement-related potentials during the performance of a motor task I: The effect of learning and force
| Autor: | Elad Yom-Tov, A. Grossman, Gideon F. Inbar |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Adult
Male Stochastic Processes General Computer Science medicine.diagnostic_test Computer science Speech recognition Models Neurological Electroencephalography Evoked Potentials Motor Partition (database) Movement-related potentials Task (project management) Power (physics) Motor task medicine Humans Computer Simulation Female Set (psychology) Algorithms Psychomotor Performance Biotechnology |
| Zdroj: | Biological Cybernetics. 85:395-399 |
| ISSN: | 1432-0770 0340-1200 |
| DOI: | 10.1007/s004220100265 |
| Popis: | Movement-related potentials (MRPs) recorded from the brain may be affected by several factors. These include the how well the subject knows the task and the load against which he performs it. The objective of this study is to determine how dominant these two factors are in influencing the shape and power of MRPs. MRPs were recorded during performance of a simple motor task that required learning of a force. A stochastic algorithm was used in order to partition a set of MRPs that are embedded in the surrounding electroencephalographic (EEG) activity into distinct classes according to the power of the underlying MRPs. Our results show that the most influential factor in the partition was the load against which the subject performed the task. Furthermore, it was found that learning has a smaller, though not insignificant, influence on the power of the MRPs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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