Parallel Factor Analysis in the Study of Event-Related Potentials


Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

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.

Sobre autores

V. Ponomarev

Bechtereva Institute of the Human Brain, Russian Academy of Sciences

Autor responsável pela correspondência
Email: valery_ponomarev@mail.ru
Rússia, St. Petersburg

M. Pronina

Bechtereva Institute of the Human Brain, Russian Academy of Sciences

Email: valery_ponomarev@mail.ru
Rússia, St. Petersburg

Yu. Kropotov

Bechtereva Institute of the Human Brain, Russian Academy of Sciences

Email: valery_ponomarev@mail.ru
Rússia, St. Petersburg


Declaração de direitos autorais © Pleiades Publishing, Inc., 2019

Este site utiliza cookies

Ao continuar usando nosso site, você concorda com o procedimento de cookies que mantêm o site funcionando normalmente.

Informação sobre cookies