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Electrophysiological signatures of temporal context in the bisection task

Despite having relatively accurate timing, subjective time can be influenced by various contexts, such as stimulus spacing and sample frequency. Several electroencephalographic (EEG) components have been associated with timing, including the contingent negative variation (CNV), offset P2, and late p...

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Autores principales: Baykan, Cemre, Zhu, Xiuna, Zinchenko, Artyom, Müller, Hermann J., Shi, Zhuanghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386970/
https://www.ncbi.nlm.nih.gov/pubmed/37460622
http://dx.doi.org/10.1007/s00221-023-06670-1
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author Baykan, Cemre
Zhu, Xiuna
Zinchenko, Artyom
Müller, Hermann J.
Shi, Zhuanghua
author_facet Baykan, Cemre
Zhu, Xiuna
Zinchenko, Artyom
Müller, Hermann J.
Shi, Zhuanghua
author_sort Baykan, Cemre
collection PubMed
description Despite having relatively accurate timing, subjective time can be influenced by various contexts, such as stimulus spacing and sample frequency. Several electroencephalographic (EEG) components have been associated with timing, including the contingent negative variation (CNV), offset P2, and late positive component of timing (LPCt). However, the specific role of these components in the contextual modulation of perceived time remains unclear. In this study, we conducted two temporal bisection experiments to investigate this issue. Participants had to judge whether a test duration was close to a short or long standard. Unbeknownst to them, we manipulated the stimulus spacing (Experiment 1) and sample frequency (Experiment 2) to create short and long contexts while maintaining consistent test ranges and standards across different sessions. The results revealed that the bisection threshold shifted towards the ensemble mean, and both CNV and LPCt were sensitive to context modulation. In the short context, the CNV exhibited an increased climbing rate compared to the long context, whereas the LPCt displayed reduced amplitude and latency. These findings suggest that the CNV represents an expectancy wave preceding a temporal decision process, while the LPCt reflects the decision-making process itself, with both components influenced by the temporal context.
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spelling pubmed-103869702023-07-31 Electrophysiological signatures of temporal context in the bisection task Baykan, Cemre Zhu, Xiuna Zinchenko, Artyom Müller, Hermann J. Shi, Zhuanghua Exp Brain Res Research Article Despite having relatively accurate timing, subjective time can be influenced by various contexts, such as stimulus spacing and sample frequency. Several electroencephalographic (EEG) components have been associated with timing, including the contingent negative variation (CNV), offset P2, and late positive component of timing (LPCt). However, the specific role of these components in the contextual modulation of perceived time remains unclear. In this study, we conducted two temporal bisection experiments to investigate this issue. Participants had to judge whether a test duration was close to a short or long standard. Unbeknownst to them, we manipulated the stimulus spacing (Experiment 1) and sample frequency (Experiment 2) to create short and long contexts while maintaining consistent test ranges and standards across different sessions. The results revealed that the bisection threshold shifted towards the ensemble mean, and both CNV and LPCt were sensitive to context modulation. In the short context, the CNV exhibited an increased climbing rate compared to the long context, whereas the LPCt displayed reduced amplitude and latency. These findings suggest that the CNV represents an expectancy wave preceding a temporal decision process, while the LPCt reflects the decision-making process itself, with both components influenced by the temporal context. Springer Berlin Heidelberg 2023-07-17 2023 /pmc/articles/PMC10386970/ /pubmed/37460622 http://dx.doi.org/10.1007/s00221-023-06670-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Baykan, Cemre
Zhu, Xiuna
Zinchenko, Artyom
Müller, Hermann J.
Shi, Zhuanghua
Electrophysiological signatures of temporal context in the bisection task
title Electrophysiological signatures of temporal context in the bisection task
title_full Electrophysiological signatures of temporal context in the bisection task
title_fullStr Electrophysiological signatures of temporal context in the bisection task
title_full_unstemmed Electrophysiological signatures of temporal context in the bisection task
title_short Electrophysiological signatures of temporal context in the bisection task
title_sort electrophysiological signatures of temporal context in the bisection task
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386970/
https://www.ncbi.nlm.nih.gov/pubmed/37460622
http://dx.doi.org/10.1007/s00221-023-06670-1
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