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Neurophysiological markers of successful learning in healthy aging

The capacity to learn and memorize is a key determinant for the quality of life but is known to decline to varying degrees with age. However, neural correlates of memory formation and the critical features that determine the extent to which aging affects learning are still not well understood. By em...

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Autores principales: Strzelczyk, Dawid, Kelly, Simon P., Langer, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643715/
https://www.ncbi.nlm.nih.gov/pubmed/37171560
http://dx.doi.org/10.1007/s11357-023-00811-8
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author Strzelczyk, Dawid
Kelly, Simon P.
Langer, Nicolas
author_facet Strzelczyk, Dawid
Kelly, Simon P.
Langer, Nicolas
author_sort Strzelczyk, Dawid
collection PubMed
description The capacity to learn and memorize is a key determinant for the quality of life but is known to decline to varying degrees with age. However, neural correlates of memory formation and the critical features that determine the extent to which aging affects learning are still not well understood. By employing a visual sequence learning task, we were able to track the behavioral and neurophysiological markers of gradual learning over several repetitions, which is not possible in traditional approaches that utilize a remember vs. forgotten comparison. On a neurophysiological level, we focused on two learning-related centro-parietal event-related potential (ERP) components: the expectancy-driven P300 and memory-related broader positivity (BP). Our results revealed that although both age groups showed significant learning progress, young individuals learned faster and remembered more stimuli than older participants. Successful learning was directly linked to a decrease of P300 and BP amplitudes. However, young participants showed larger P300 amplitudes with a sharper decrease during the learning, even after correcting for an observed age-related longer P300 latency and increased P300 peak variability. Additionally, the P300 amplitude predicted learning success in both age groups and showed good test–retest reliability. On the other hand, the memory formation processes, reflected by the BP amplitude, revealed a similar level of engagement in both age groups. However, this engagement did not translate into the same learning progress in the older participants. We suggest that the slower and more variable timing of the stimulus identification process reflected in the P300 means that despite the older participants engaging the memory formation process, there is less time for it to translate the categorical stimulus location information into a solidified memory trace. The results highlight the important role of the P300 and BP as a neurophysiological marker of learning and may enable the development of preventive measures for cognitive decline. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-023-00811-8.
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spelling pubmed-106437152023-11-15 Neurophysiological markers of successful learning in healthy aging Strzelczyk, Dawid Kelly, Simon P. Langer, Nicolas GeroScience Original Article The capacity to learn and memorize is a key determinant for the quality of life but is known to decline to varying degrees with age. However, neural correlates of memory formation and the critical features that determine the extent to which aging affects learning are still not well understood. By employing a visual sequence learning task, we were able to track the behavioral and neurophysiological markers of gradual learning over several repetitions, which is not possible in traditional approaches that utilize a remember vs. forgotten comparison. On a neurophysiological level, we focused on two learning-related centro-parietal event-related potential (ERP) components: the expectancy-driven P300 and memory-related broader positivity (BP). Our results revealed that although both age groups showed significant learning progress, young individuals learned faster and remembered more stimuli than older participants. Successful learning was directly linked to a decrease of P300 and BP amplitudes. However, young participants showed larger P300 amplitudes with a sharper decrease during the learning, even after correcting for an observed age-related longer P300 latency and increased P300 peak variability. Additionally, the P300 amplitude predicted learning success in both age groups and showed good test–retest reliability. On the other hand, the memory formation processes, reflected by the BP amplitude, revealed a similar level of engagement in both age groups. However, this engagement did not translate into the same learning progress in the older participants. We suggest that the slower and more variable timing of the stimulus identification process reflected in the P300 means that despite the older participants engaging the memory formation process, there is less time for it to translate the categorical stimulus location information into a solidified memory trace. The results highlight the important role of the P300 and BP as a neurophysiological marker of learning and may enable the development of preventive measures for cognitive decline. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-023-00811-8. Springer International Publishing 2023-05-12 /pmc/articles/PMC10643715/ /pubmed/37171560 http://dx.doi.org/10.1007/s11357-023-00811-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Original Article
Strzelczyk, Dawid
Kelly, Simon P.
Langer, Nicolas
Neurophysiological markers of successful learning in healthy aging
title Neurophysiological markers of successful learning in healthy aging
title_full Neurophysiological markers of successful learning in healthy aging
title_fullStr Neurophysiological markers of successful learning in healthy aging
title_full_unstemmed Neurophysiological markers of successful learning in healthy aging
title_short Neurophysiological markers of successful learning in healthy aging
title_sort neurophysiological markers of successful learning in healthy aging
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643715/
https://www.ncbi.nlm.nih.gov/pubmed/37171560
http://dx.doi.org/10.1007/s11357-023-00811-8
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