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Decrease in gamma-band activity tracks sequence learning

Learning novel sequences constitutes an example of declarative memory formation, involving conscious recall of temporal events. Performance in sequence learning tasks improves with repetition and involves forming temporal associations over scales of seconds to minutes. To further understand the neur...

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Autores principales: Madhavan, Radhika, Millman, Daniel, Tang, Hanlin, Crone, Nathan E., Lenz, Fredrick A., Tierney, Travis S., Madsen, Joseph R., Kreiman, Gabriel, Anderson, William S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300908/
https://www.ncbi.nlm.nih.gov/pubmed/25653598
http://dx.doi.org/10.3389/fnsys.2014.00222
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author Madhavan, Radhika
Millman, Daniel
Tang, Hanlin
Crone, Nathan E.
Lenz, Fredrick A.
Tierney, Travis S.
Madsen, Joseph R.
Kreiman, Gabriel
Anderson, William S.
author_facet Madhavan, Radhika
Millman, Daniel
Tang, Hanlin
Crone, Nathan E.
Lenz, Fredrick A.
Tierney, Travis S.
Madsen, Joseph R.
Kreiman, Gabriel
Anderson, William S.
author_sort Madhavan, Radhika
collection PubMed
description Learning novel sequences constitutes an example of declarative memory formation, involving conscious recall of temporal events. Performance in sequence learning tasks improves with repetition and involves forming temporal associations over scales of seconds to minutes. To further understand the neural circuits underlying declarative sequence learning over trials, we tracked changes in intracranial field potentials (IFPs) recorded from 1142 electrodes implanted throughout temporal and frontal cortical areas in 14 human subjects, while they learned the temporal-order of multiple sequences of images over trials through repeated recall. We observed an increase in power in the gamma frequency band (30–100 Hz) in the recall phase, particularly in areas within the temporal lobe including the parahippocampal gyrus. The degree of this gamma power enhancement decreased over trials with improved sequence recall. Modulation of gamma power was directly correlated with the improvement in recall performance. When presenting new sequences, gamma power was reset to high values and decreased again after learning. These observations suggest that signals in the gamma frequency band may play a more prominent role during the early steps of the learning process rather than during the maintenance of memory traces.
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spelling pubmed-43009082015-02-04 Decrease in gamma-band activity tracks sequence learning Madhavan, Radhika Millman, Daniel Tang, Hanlin Crone, Nathan E. Lenz, Fredrick A. Tierney, Travis S. Madsen, Joseph R. Kreiman, Gabriel Anderson, William S. Front Syst Neurosci Neuroscience Learning novel sequences constitutes an example of declarative memory formation, involving conscious recall of temporal events. Performance in sequence learning tasks improves with repetition and involves forming temporal associations over scales of seconds to minutes. To further understand the neural circuits underlying declarative sequence learning over trials, we tracked changes in intracranial field potentials (IFPs) recorded from 1142 electrodes implanted throughout temporal and frontal cortical areas in 14 human subjects, while they learned the temporal-order of multiple sequences of images over trials through repeated recall. We observed an increase in power in the gamma frequency band (30–100 Hz) in the recall phase, particularly in areas within the temporal lobe including the parahippocampal gyrus. The degree of this gamma power enhancement decreased over trials with improved sequence recall. Modulation of gamma power was directly correlated with the improvement in recall performance. When presenting new sequences, gamma power was reset to high values and decreased again after learning. These observations suggest that signals in the gamma frequency band may play a more prominent role during the early steps of the learning process rather than during the maintenance of memory traces. Frontiers Media S.A. 2015-01-21 /pmc/articles/PMC4300908/ /pubmed/25653598 http://dx.doi.org/10.3389/fnsys.2014.00222 Text en Copyright © 2015 Madhavan, Millman, Tang, Crone, Lenz, Tierney, Madsen, Kreiman and Anderson. http://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) 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 Neuroscience
Madhavan, Radhika
Millman, Daniel
Tang, Hanlin
Crone, Nathan E.
Lenz, Fredrick A.
Tierney, Travis S.
Madsen, Joseph R.
Kreiman, Gabriel
Anderson, William S.
Decrease in gamma-band activity tracks sequence learning
title Decrease in gamma-band activity tracks sequence learning
title_full Decrease in gamma-band activity tracks sequence learning
title_fullStr Decrease in gamma-band activity tracks sequence learning
title_full_unstemmed Decrease in gamma-band activity tracks sequence learning
title_short Decrease in gamma-band activity tracks sequence learning
title_sort decrease in gamma-band activity tracks sequence learning
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300908/
https://www.ncbi.nlm.nih.gov/pubmed/25653598
http://dx.doi.org/10.3389/fnsys.2014.00222
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