Parallel Factor Analysis in the Study of Event-Related Potentials


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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


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