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Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect
In this event-related fMRI study we investigated the effect of 5 days of implicit acquisition on preference classification by means of an artificial grammar learning (AGL) paradigm based on the structural mere-exposure effect and preference classification using a simple right-linear unification gram...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912435/ https://www.ncbi.nlm.nih.gov/pubmed/24550865 http://dx.doi.org/10.3389/fpsyg.2014.00041 |
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author | Folia, Vasiliki Petersson, Karl Magnus |
author_facet | Folia, Vasiliki Petersson, Karl Magnus |
author_sort | Folia, Vasiliki |
collection | PubMed |
description | In this event-related fMRI study we investigated the effect of 5 days of implicit acquisition on preference classification by means of an artificial grammar learning (AGL) paradigm based on the structural mere-exposure effect and preference classification using a simple right-linear unification grammar. This allowed us to investigate implicit AGL in a proper learning design by including baseline measurements prior to grammar exposure. After 5 days of implicit acquisition, the fMRI results showed activations in a network of brain regions including the inferior frontal (centered on BA 44/45) and the medial prefrontal regions (centered on BA 8/32). Importantly, and central to this study, the inclusion of a naive preference fMRI baseline measurement allowed us to conclude that these fMRI findings were the intrinsic outcomes of the learning process itself and not a reflection of a preexisting functionality recruited during classification, independent of acquisition. Support for the implicit nature of the knowledge utilized during preference classification on day 5 come from the fact that the basal ganglia, associated with implicit procedural learning, were activated during classification, while the medial temporal lobe system, associated with explicit declarative memory, was consistently deactivated. Thus, preference classification in combination with structural mere-exposure can be used to investigate structural sequence processing (syntax) in unsupervised AGL paradigms with proper learning designs. |
format | Online Article Text |
id | pubmed-3912435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-39124352014-02-18 Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect Folia, Vasiliki Petersson, Karl Magnus Front Psychol Psychology In this event-related fMRI study we investigated the effect of 5 days of implicit acquisition on preference classification by means of an artificial grammar learning (AGL) paradigm based on the structural mere-exposure effect and preference classification using a simple right-linear unification grammar. This allowed us to investigate implicit AGL in a proper learning design by including baseline measurements prior to grammar exposure. After 5 days of implicit acquisition, the fMRI results showed activations in a network of brain regions including the inferior frontal (centered on BA 44/45) and the medial prefrontal regions (centered on BA 8/32). Importantly, and central to this study, the inclusion of a naive preference fMRI baseline measurement allowed us to conclude that these fMRI findings were the intrinsic outcomes of the learning process itself and not a reflection of a preexisting functionality recruited during classification, independent of acquisition. Support for the implicit nature of the knowledge utilized during preference classification on day 5 come from the fact that the basal ganglia, associated with implicit procedural learning, were activated during classification, while the medial temporal lobe system, associated with explicit declarative memory, was consistently deactivated. Thus, preference classification in combination with structural mere-exposure can be used to investigate structural sequence processing (syntax) in unsupervised AGL paradigms with proper learning designs. Frontiers Media S.A. 2014-02-04 /pmc/articles/PMC3912435/ /pubmed/24550865 http://dx.doi.org/10.3389/fpsyg.2014.00041 Text en Copyright © 2014 Folia and Petersson. http://creativecommons.org/licenses/by/3.0/ 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) or licensor 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 | Psychology Folia, Vasiliki Petersson, Karl Magnus Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect |
title | Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect |
title_full | Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect |
title_fullStr | Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect |
title_full_unstemmed | Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect |
title_short | Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect |
title_sort | implicit structured sequence learning: an fmri study of the structural mere-exposure effect |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912435/ https://www.ncbi.nlm.nih.gov/pubmed/24550865 http://dx.doi.org/10.3389/fpsyg.2014.00041 |
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