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Early visual learning induces long-lasting connectivity changes during rest in the human brain

Spontaneous fluctuations in resting state activity can change in response to experience-dependent plasticity and learning. Visual learning is fast and can be elicited in an MRI scanner. Here, we showed that a random dot motion coherence task can be learned within one training session. While the task...

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Detalles Bibliográficos
Autores principales: Urner, Maren, Schwarzkopf, Dietrich Samuel, Friston, Karl, Rees, Geraint
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3682182/
https://www.ncbi.nlm.nih.gov/pubmed/23558105
http://dx.doi.org/10.1016/j.neuroimage.2013.03.050
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author Urner, Maren
Schwarzkopf, Dietrich Samuel
Friston, Karl
Rees, Geraint
author_facet Urner, Maren
Schwarzkopf, Dietrich Samuel
Friston, Karl
Rees, Geraint
author_sort Urner, Maren
collection PubMed
description Spontaneous fluctuations in resting state activity can change in response to experience-dependent plasticity and learning. Visual learning is fast and can be elicited in an MRI scanner. Here, we showed that a random dot motion coherence task can be learned within one training session. While the task activated primarily visual and parietal brain areas, learning related changes in neural activity were observed in the hippocampus. Crucially, even this rapid learning affected resting state dynamics both immediately after the learning and 24 h later. Specifically, the hippocampus changed its coupling with the striatum, in a way that was best explained as a consolidation of early learning related changes. Our findings suggest that long-lasting changes in neuronal coupling are accompanied by changes in resting state activity.
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spelling pubmed-36821822013-08-15 Early visual learning induces long-lasting connectivity changes during rest in the human brain Urner, Maren Schwarzkopf, Dietrich Samuel Friston, Karl Rees, Geraint Neuroimage Article Spontaneous fluctuations in resting state activity can change in response to experience-dependent plasticity and learning. Visual learning is fast and can be elicited in an MRI scanner. Here, we showed that a random dot motion coherence task can be learned within one training session. While the task activated primarily visual and parietal brain areas, learning related changes in neural activity were observed in the hippocampus. Crucially, even this rapid learning affected resting state dynamics both immediately after the learning and 24 h later. Specifically, the hippocampus changed its coupling with the striatum, in a way that was best explained as a consolidation of early learning related changes. Our findings suggest that long-lasting changes in neuronal coupling are accompanied by changes in resting state activity. Academic Press 2013-08-15 /pmc/articles/PMC3682182/ /pubmed/23558105 http://dx.doi.org/10.1016/j.neuroimage.2013.03.050 Text en © 2013 Elsevier Inc. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license
spellingShingle Article
Urner, Maren
Schwarzkopf, Dietrich Samuel
Friston, Karl
Rees, Geraint
Early visual learning induces long-lasting connectivity changes during rest in the human brain
title Early visual learning induces long-lasting connectivity changes during rest in the human brain
title_full Early visual learning induces long-lasting connectivity changes during rest in the human brain
title_fullStr Early visual learning induces long-lasting connectivity changes during rest in the human brain
title_full_unstemmed Early visual learning induces long-lasting connectivity changes during rest in the human brain
title_short Early visual learning induces long-lasting connectivity changes during rest in the human brain
title_sort early visual learning induces long-lasting connectivity changes during rest in the human brain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3682182/
https://www.ncbi.nlm.nih.gov/pubmed/23558105
http://dx.doi.org/10.1016/j.neuroimage.2013.03.050
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