Cargando…
Gamma oscillations in visual statistical learning correlate with individual behavioral differences
Statistical learning is assumed to be a fundamentally general sensory process across modalities, age, other cognitive functions, and even species. Despite this general role, behavioral testing on regularity acquisition shows great variance among individuals. The current study aimed to find neural co...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663268/ https://www.ncbi.nlm.nih.gov/pubmed/38025386 http://dx.doi.org/10.3389/fnbeh.2023.1285773 |
_version_ | 1785138361536610304 |
---|---|
author | Sáringer, Szabolcs Fehér, Ágnes Sáry, Gyula Kaposvári, Péter |
author_facet | Sáringer, Szabolcs Fehér, Ágnes Sáry, Gyula Kaposvári, Péter |
author_sort | Sáringer, Szabolcs |
collection | PubMed |
description | Statistical learning is assumed to be a fundamentally general sensory process across modalities, age, other cognitive functions, and even species. Despite this general role, behavioral testing on regularity acquisition shows great variance among individuals. The current study aimed to find neural correlates of visual statistical learning showing a correlation with behavioral results. Based on a pilot study, we conducted an EEG study where participants were exposed to associated stimulus pairs; the acquisition was tested through a familiarity test. We identified an oscillation in the gamma range (40–70 Hz, 0.5–0.75 s post-stimulus), which showed a positive correlation with the behavioral results. This change in activity was located in a left frontoparietal cluster. Based on its latency and location, this difference was identified as a late gamma activity, a correlate of model-based learning. Such learning is a summary of several top-down mechanisms that modulate the recollection of statistical relationships such as the capacity of working memory or attention. These results suggest that, during acquisition, individual behavioral variance is influenced by dominant learning processes which affect the recall of previously gained information. |
format | Online Article Text |
id | pubmed-10663268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106632682023-01-01 Gamma oscillations in visual statistical learning correlate with individual behavioral differences Sáringer, Szabolcs Fehér, Ágnes Sáry, Gyula Kaposvári, Péter Front Behav Neurosci Behavioral Neuroscience Statistical learning is assumed to be a fundamentally general sensory process across modalities, age, other cognitive functions, and even species. Despite this general role, behavioral testing on regularity acquisition shows great variance among individuals. The current study aimed to find neural correlates of visual statistical learning showing a correlation with behavioral results. Based on a pilot study, we conducted an EEG study where participants were exposed to associated stimulus pairs; the acquisition was tested through a familiarity test. We identified an oscillation in the gamma range (40–70 Hz, 0.5–0.75 s post-stimulus), which showed a positive correlation with the behavioral results. This change in activity was located in a left frontoparietal cluster. Based on its latency and location, this difference was identified as a late gamma activity, a correlate of model-based learning. Such learning is a summary of several top-down mechanisms that modulate the recollection of statistical relationships such as the capacity of working memory or attention. These results suggest that, during acquisition, individual behavioral variance is influenced by dominant learning processes which affect the recall of previously gained information. Frontiers Media S.A. 2023-11-08 /pmc/articles/PMC10663268/ /pubmed/38025386 http://dx.doi.org/10.3389/fnbeh.2023.1285773 Text en Copyright © 2023 Sáringer, Fehér, Sáry and Kaposvári. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Behavioral Neuroscience Sáringer, Szabolcs Fehér, Ágnes Sáry, Gyula Kaposvári, Péter Gamma oscillations in visual statistical learning correlate with individual behavioral differences |
title | Gamma oscillations in visual statistical learning correlate with individual behavioral differences |
title_full | Gamma oscillations in visual statistical learning correlate with individual behavioral differences |
title_fullStr | Gamma oscillations in visual statistical learning correlate with individual behavioral differences |
title_full_unstemmed | Gamma oscillations in visual statistical learning correlate with individual behavioral differences |
title_short | Gamma oscillations in visual statistical learning correlate with individual behavioral differences |
title_sort | gamma oscillations in visual statistical learning correlate with individual behavioral differences |
topic | Behavioral Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663268/ https://www.ncbi.nlm.nih.gov/pubmed/38025386 http://dx.doi.org/10.3389/fnbeh.2023.1285773 |
work_keys_str_mv | AT saringerszabolcs gammaoscillationsinvisualstatisticallearningcorrelatewithindividualbehavioraldifferences AT feheragnes gammaoscillationsinvisualstatisticallearningcorrelatewithindividualbehavioraldifferences AT sarygyula gammaoscillationsinvisualstatisticallearningcorrelatewithindividualbehavioraldifferences AT kaposvaripeter gammaoscillationsinvisualstatisticallearningcorrelatewithindividualbehavioraldifferences |