Averaging sleep spindle occurrence in dogs predicts learning performance better than single measures

Abstract Although a positive link between sleep spindle occurrence and measures of post-sleep recall (learning success) is often reported for humans and replicated across species, the test–retest reliability of the effect is sometimes questioned. The largest to date study could not confirm the assoc...

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Autores principales: Ivaylo Borislavov Iotchev, Vivien Reicher, Enikő Kovács, Tímea Kovács, Anna Kis, Márta Gácsi, Enikő Kubinyi
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/2421f80e85e74436a2de0014724376ca
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spelling oai:doaj.org-article:2421f80e85e74436a2de0014724376ca2021-12-02T13:46:38ZAveraging sleep spindle occurrence in dogs predicts learning performance better than single measures10.1038/s41598-020-80417-82045-2322https://doaj.org/article/2421f80e85e74436a2de0014724376ca2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80417-8https://doaj.org/toc/2045-2322Abstract Although a positive link between sleep spindle occurrence and measures of post-sleep recall (learning success) is often reported for humans and replicated across species, the test–retest reliability of the effect is sometimes questioned. The largest to date study could not confirm the association, however methods for automatic spindle detection diverge in their estimates and vary between studies. Here we report that in dogs using the same detection method across different learning tasks is associated with observing a positive association between sleep spindle density (spindles/minute) and learning success. Our results suggest that reducing measurement error by averaging across measurements of density and learning can increase the visibility of this effect, implying that trait density (estimated through averaged occurrence) is a more reliable predictor of cognitive performance than estimates based on single measures.Ivaylo Borislavov IotchevVivien ReicherEnikő KovácsTímea KovácsAnna KisMárta GácsiEnikő KubinyiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-6 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ivaylo Borislavov Iotchev
Vivien Reicher
Enikő Kovács
Tímea Kovács
Anna Kis
Márta Gácsi
Enikő Kubinyi
Averaging sleep spindle occurrence in dogs predicts learning performance better than single measures
description Abstract Although a positive link between sleep spindle occurrence and measures of post-sleep recall (learning success) is often reported for humans and replicated across species, the test–retest reliability of the effect is sometimes questioned. The largest to date study could not confirm the association, however methods for automatic spindle detection diverge in their estimates and vary between studies. Here we report that in dogs using the same detection method across different learning tasks is associated with observing a positive association between sleep spindle density (spindles/minute) and learning success. Our results suggest that reducing measurement error by averaging across measurements of density and learning can increase the visibility of this effect, implying that trait density (estimated through averaged occurrence) is a more reliable predictor of cognitive performance than estimates based on single measures.
format article
author Ivaylo Borislavov Iotchev
Vivien Reicher
Enikő Kovács
Tímea Kovács
Anna Kis
Márta Gácsi
Enikő Kubinyi
author_facet Ivaylo Borislavov Iotchev
Vivien Reicher
Enikő Kovács
Tímea Kovács
Anna Kis
Márta Gácsi
Enikő Kubinyi
author_sort Ivaylo Borislavov Iotchev
title Averaging sleep spindle occurrence in dogs predicts learning performance better than single measures
title_short Averaging sleep spindle occurrence in dogs predicts learning performance better than single measures
title_full Averaging sleep spindle occurrence in dogs predicts learning performance better than single measures
title_fullStr Averaging sleep spindle occurrence in dogs predicts learning performance better than single measures
title_full_unstemmed Averaging sleep spindle occurrence in dogs predicts learning performance better than single measures
title_sort averaging sleep spindle occurrence in dogs predicts learning performance better than single measures
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/2421f80e85e74436a2de0014724376ca
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AT enikokovacs averagingsleepspindleoccurrenceindogspredictslearningperformancebetterthansinglemeasures
AT timeakovacs averagingsleepspindleoccurrenceindogspredictslearningperformancebetterthansinglemeasures
AT annakis averagingsleepspindleoccurrenceindogspredictslearningperformancebetterthansinglemeasures
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