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.

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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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