Parallel Factor Analysis in the Study of Event-Related Potentials
- 作者: Ponomarev V.1, Pronina M.1, Kropotov Y.1
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隶属关系:
- Bechtereva Institute of the Human Brain, Russian Academy of Sciences
- 期: 卷 45, 编号 3 (2019)
- 页面: 233-241
- 栏目: Article
- URL: https://journals.rcsi.science/0362-1197/article/view/178184
- DOI: https://doi.org/10.1134/S0362119719030150
- ID: 178184
如何引用文章
详细
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.
作者简介
V. Ponomarev
Bechtereva Institute of the Human Brain, Russian Academy of Sciences
编辑信件的主要联系方式.
Email: valery_ponomarev@mail.ru
俄罗斯联邦, St. Petersburg
M. Pronina
Bechtereva Institute of the Human Brain, Russian Academy of Sciences
Email: valery_ponomarev@mail.ru
俄罗斯联邦, St. Petersburg
Yu. Kropotov
Bechtereva Institute of the Human Brain, Russian Academy of Sciences
Email: valery_ponomarev@mail.ru
俄罗斯联邦, St. Petersburg