| Autor: |
João Andrade, José Cecílio, Marco Simões, Francisco Sales, Miguel Castelo-Branco |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
Journal of NeuroEngineering and Rehabilitation, Vol 14, Iss 1, Pp 1-13 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
1743-0003 |
| DOI: |
10.1186/s12984-017-0276-4 |
| Popis: |
Abstract Background We aimed to investigate the separability of the neural correlates of 2 types of motor imagery, self and third person (actions owned by the participant himself vs. another individual). If possible this would allow for the development of BCI interfaces to train disorders of action and intention understanding beyond simple imitation, such as autism. Methods We used EEG recordings from 20 healthy participants, as well as electrocorticography (ECoG) in one, based on a virtual reality setup. To test feasibility of discrimination between each type of imagery at the single trial level, time-frequency and source analysis were performed and further assessed by data-driven statistical classification using Support Vector Machines. Results The main observed differences between self-other imagery conditions in topographic maps were found in Frontal and Parieto-Occipital regions, in agreement with the presence of 2 independent non μ related contributions in the low alpha frequency range. ECOG corroborated such separability. Source analysis also showed differences near the temporo-parietal junction and single-trial average classification accuracy between both types of motor imagery was 67 ± 1%, and raised above 70% when 3 trials were used. The single-trial classification accuracy was significantly above chance level for all the participants of this study (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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