Parallel Factor Analysis in the Study of Event-Related Potentials
- Авторы: Ponomarev V.1, Pronina M.1, Kropotov Y.1
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Учреждения:
- Bechtereva Institute of the Human Brain, Russian Academy of Sciences
- Выпуск: Том 45, № 3 (2019)
- Страницы: 233-241
- Раздел: Article
- URL: https://journals.rcsi.science/0362-1197/article/view/178184
- DOI: https://doi.org/10.1134/S0362119719030150
- ID: 178184
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Аннотация
The study evaluated whether a parallel factor analysis model is adequate and efficient in describing the event-related potentials (ERPs). ERPs evoked in a visual Go/NoGo task were recorded in 351 healthy subjects aged 18–55 years. The parallel factor analysis made it possible to separate the ERP components that differed in topography and waveform; the latter components proved to depend on the type of a subject’s response. The magnitudes of the components were individual, varied among subjects, and were mutually uncorrelated. Based on our results, the parallel factor analysis was concluded to provide an adequate approach for describing common characteristics and individual features of ERPs.
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V. Ponomarev
Bechtereva Institute of the Human Brain, Russian Academy of Sciences
Автор, ответственный за переписку.
Email: valery_ponomarev@mail.ru
Россия, St. Petersburg
M. Pronina
Bechtereva Institute of the Human Brain, Russian Academy of Sciences
Email: valery_ponomarev@mail.ru
Россия, St. Petersburg
Yu. Kropotov
Bechtereva Institute of the Human Brain, Russian Academy of Sciences
Email: valery_ponomarev@mail.ru
Россия, St. Petersburg