Next Article in Journal
When, How, and to What Extent Are Individuals with Unresponsive Wakefulness Syndrome Able to Progress? Neurobehavioral Progress
Next Article in Special Issue
How Neuronal Noises Influence the Spiking Neural Networks’s Cognitive Learning Process: A Preliminary Study
Previous Article in Journal
Clinical Efficacy and Safety of Silicone Elastomer Sheet during Decompressive Craniectomy: Anti-Adhesive Role in Cranioplasty
Previous Article in Special Issue
Memory Traces Formed in Utero—Newborns’ Autonomic and Neuronal Responses to Prenatal Stimuli and the Maternal Voice
Open AccessArticle

Physiological and Medico-Social Research Trends of the Wave P300 and More Late Components of Visual Event-Related Potentials

1
Lab of Applied Informatics, Lab of Autonomous Robotic Systems, St. Petersburg Federal Research Center of the Russian Academy of Sciences, 199178 Saint Petersburg, Russia
2
Department of Normal Physiology, Saint Petersburg State Pediatric Medical University, 194100 Saint Petersburg, Russia
*
Author to whom correspondence should be addressed.
Brain Sci. 2021, 11(1), 125; https://doi.org/10.3390/brainsci11010125
Received: 7 December 2020 / Revised: 8 January 2021 / Accepted: 15 January 2021 / Published: 18 January 2021
(This article belongs to the Special Issue Quantitative EEG and Cognitive Neuroscience)
To extend the application of the late waves of the event-related potentials (ERPs) to multiple modalities, devices and software the underlying physiological mechanisms and responses of the brain for a particular sensory system and mental function must be carefully examined. The objective of this study was aimed to study the sensory processes of the “human-computer interaction” model when classifying visual images with an incomplete set of signs based on the analysis of early, middle, late and slow ERPs components. 26 healthy subjects (men) aged 20–26 years were investigated. ERPs in 19 monopolar sites according to the 10/20 system were recorded. Discriminant and factor analyzes (BMDP Statistical Software) were applied. The component N450 is the most specialized indicator of the perception of unrecognizable (oddball) visual images. The amplitude of the ultra-late components N750 and N900 is also higher under conditions of presentation of the oddball image, regardless of the location of the registration points. In brain pathology along with the pronounced asymmetry of the wave distribution, reduction of the N150 wave and lengthening of its peak latency, a line of regularities were noted. These include–a pronounced reduction in peak latency P250 and N350, an increased amplitude of N350 in the frontal and central points of registration, a decrease in the amplitude of N450 in the left frontal cortex and its increase in the occipital registration points, activation of the occipital cortex at a time interval of 400–500 ms, as well as fusion later waves. We called such phenomena of the development of cognitive ERP in brain pathology “the incongruence of ERP components”. The results of the research are discussed in the light of the paradigm of the P300 wave application in brain-computer interface systems, as well as with the peculiarities in brain pathology. View Full-Text
Keywords: event-related potentials; visual evoked potentials; component P300; brain-computer interface; speller; oddball paradigm; categorization of images event-related potentials; visual evoked potentials; component P300; brain-computer interface; speller; oddball paradigm; categorization of images
Show Figures

Graphical abstract

MDPI and ACS Style

Lytaev, S.; Vatamaniuk, I. Physiological and Medico-Social Research Trends of the Wave P300 and More Late Components of Visual Event-Related Potentials. Brain Sci. 2021, 11, 125. https://doi.org/10.3390/brainsci11010125

AMA Style

Lytaev S, Vatamaniuk I. Physiological and Medico-Social Research Trends of the Wave P300 and More Late Components of Visual Event-Related Potentials. Brain Sciences. 2021; 11(1):125. https://doi.org/10.3390/brainsci11010125

Chicago/Turabian Style

Lytaev, Sergey; Vatamaniuk, Irina. 2021. "Physiological and Medico-Social Research Trends of the Wave P300 and More Late Components of Visual Event-Related Potentials" Brain Sci. 11, no. 1: 125. https://doi.org/10.3390/brainsci11010125

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop