Description of typical components of the ERP when solving the task of distinguishing short intervals of time
<p><strong>Context and relevance.</strong> This article is one of a series of works published as part of a major research project devoted to the study of the procedural characteristics of learning. <strong>Methods and materials.</strong> Based on the Signal Detection Theory and the &ldquo;Yes-No&rdquo; task method with EEG recording was previously developed and tested to study the dynamics of the processes of acquisition/improvement of a skill of distinguishing short intervals of time. The <strong>objective</strong> of the study was to identify and describe typical components of event-related potentials (ERPs) during the presentation of the estimated signal in leads F-, C-, P-, and O- for the analysis of the brain support of learning process in different groups experiment: acquired, <em>not</em> acquired, improved, and <em>not</em> improved the skill. The sample consisted of 17 people (5 men, 12 women, 18&mdash;45 years old, med &mdash; 19). <strong>Results.</strong> A task-specific configuration of ERP components was identified, occurring in all leads in all study participants. <strong>Conclusions. </strong>Reliable and stable differences in the amplitude and latent period values of individual some components between leads F-, C- and P-, O- were obtained for the entire sample. No significant differences were found in the amplitude-time characteristics of the components extracted from participants from different groups.</p>
Authors
- D.L. Gladilin (ORCID: https://orcid.org/0000-0002-5352-4866)
- Konstantin Yudakov
- Vladimir Apanovich (ORCID: https://orcid.org/0000-0003-3407-6049)
- Юрий И. Александров (ORCID: https://orcid.org/0000-0002-2644-3016)
- E.A. Aramyan (ORCID: https://orcid.org/0000-0003-3562-8378)
Institutions
- Institute of Psychology (RU)
Publication Details
- Journal
- Experimental Psychology (Russia)
- Published
- 2025-06-30
- DOI
- https://doi.org/10.17759/exppsy.2025180203
- Primary Topic
- Advanced Research in Systems and Signal Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Russian Science Foundation
- Russian Academy of Sciences