Latent Components of Event-Related Potentials in a Visual Cued Go/NoGo Task


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Parallel factor analysis was tested for potential to separate the hidden functionally different components of event-related potentials (ERPs) in a visual cued Go/NoGo task. ERPs were recorded in 351 healthy subjects aged 18–55 years. In the parallel factor analysis model, different components were found to describe a number of well-known ERP waves associated with conflict detection, switching, decision making, and other processes. Based on the waveform analysis of the components, a working hypothesis was proposed to describe the sequence that the processes take to occur in the brain when Go and NoGo stimuli are presented in a Go/NoGo task. Parallel factor analysis thus proved to provide an efficient tool and to allow another viewpoint on brain processes as compared with conventional methods of ERP studies.

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

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