Sleep spindle density predicts the effect of prior knowledge on memory consolidationCitation formats

Standard

Sleep spindle density predicts the effect of prior knowledge on memory consolidation. / Hennies, Nora; Ralph, Matthew Lambon; Kempkes, Marleen; Cousins, James; Lewis, Penny.

In: The Journal of Neuroscience, Vol. 36, No. 13, 30.03.2016, p. 3799-3810.

Research output: Contribution to journalArticle

Harvard

Hennies, N, Ralph, ML, Kempkes, M, Cousins, J & Lewis, P 2016, 'Sleep spindle density predicts the effect of prior knowledge on memory consolidation' The Journal of Neuroscience, vol. 36, no. 13, pp. 3799-3810. https://doi.org/10.1523/JNEUROSCI.3162-15.2016

APA

Hennies, N., Ralph, M. L., Kempkes, M., Cousins, J., & Lewis, P. (2016). Sleep spindle density predicts the effect of prior knowledge on memory consolidation. The Journal of Neuroscience, 36(13), 3799-3810. https://doi.org/10.1523/JNEUROSCI.3162-15.2016

Vancouver

Hennies N, Ralph ML, Kempkes M, Cousins J, Lewis P. Sleep spindle density predicts the effect of prior knowledge on memory consolidation. The Journal of Neuroscience. 2016 Mar 30;36(13):3799-3810. https://doi.org/10.1523/JNEUROSCI.3162-15.2016

Author

Hennies, Nora ; Ralph, Matthew Lambon ; Kempkes, Marleen ; Cousins, James ; Lewis, Penny. / Sleep spindle density predicts the effect of prior knowledge on memory consolidation. In: The Journal of Neuroscience. 2016 ; Vol. 36, No. 13. pp. 3799-3810.

Bibtex

@article{c6514ea03387460092d67366eadd0214,
title = "Sleep spindle density predicts the effect of prior knowledge on memory consolidation",
abstract = "Information that relates to a prior knowledge schema is remembered better and consolidates more rapidly than information that does not. Another factor that influences memory consolidation is sleep and growing evidence suggests that sleep-related processing is important for integration with existing knowledge. Here, we perform an examination of how sleep-related mechanisms interact with schema-dependent memory advantage. Participants first established a schema over 2 weeks. Next, they encoded new facts, which were either related to the schema or completely unrelated. After a 24 h retention interval, including a night of sleep, which we monitored with polysomnography, participants encoded a second set of facts. Finally, memory for all facts was tested in a functional magnetic resonance imaging scanner. Behaviorally, sleep spindle density predicted an increase of the schema benefit to memory across the retention interval. Higher spindle densities were associated with reduced decay of schema-related memories. Functionally, spindle density predicted increased disengagement of the hippocampus across 24 h for schema-related memories only. Together, these results suggest that sleep spindle activity is associated with the effect of prior knowledge on memory consolidation.",
author = "Nora Hennies and Ralph, {Matthew Lambon} and Marleen Kempkes and James Cousins and Penny Lewis",
year = "2016",
month = "3",
day = "30",
doi = "10.1523/JNEUROSCI.3162-15.2016",
language = "English",
volume = "36",
pages = "3799--3810",
journal = "The Journal of Neuroscience",
issn = "0270-6474",
publisher = "Society for Neuroscience",
number = "13",

}

RIS

TY - JOUR

T1 - Sleep spindle density predicts the effect of prior knowledge on memory consolidation

AU - Hennies, Nora

AU - Ralph, Matthew Lambon

AU - Kempkes, Marleen

AU - Cousins, James

AU - Lewis, Penny

PY - 2016/3/30

Y1 - 2016/3/30

N2 - Information that relates to a prior knowledge schema is remembered better and consolidates more rapidly than information that does not. Another factor that influences memory consolidation is sleep and growing evidence suggests that sleep-related processing is important for integration with existing knowledge. Here, we perform an examination of how sleep-related mechanisms interact with schema-dependent memory advantage. Participants first established a schema over 2 weeks. Next, they encoded new facts, which were either related to the schema or completely unrelated. After a 24 h retention interval, including a night of sleep, which we monitored with polysomnography, participants encoded a second set of facts. Finally, memory for all facts was tested in a functional magnetic resonance imaging scanner. Behaviorally, sleep spindle density predicted an increase of the schema benefit to memory across the retention interval. Higher spindle densities were associated with reduced decay of schema-related memories. Functionally, spindle density predicted increased disengagement of the hippocampus across 24 h for schema-related memories only. Together, these results suggest that sleep spindle activity is associated with the effect of prior knowledge on memory consolidation.

AB - Information that relates to a prior knowledge schema is remembered better and consolidates more rapidly than information that does not. Another factor that influences memory consolidation is sleep and growing evidence suggests that sleep-related processing is important for integration with existing knowledge. Here, we perform an examination of how sleep-related mechanisms interact with schema-dependent memory advantage. Participants first established a schema over 2 weeks. Next, they encoded new facts, which were either related to the schema or completely unrelated. After a 24 h retention interval, including a night of sleep, which we monitored with polysomnography, participants encoded a second set of facts. Finally, memory for all facts was tested in a functional magnetic resonance imaging scanner. Behaviorally, sleep spindle density predicted an increase of the schema benefit to memory across the retention interval. Higher spindle densities were associated with reduced decay of schema-related memories. Functionally, spindle density predicted increased disengagement of the hippocampus across 24 h for schema-related memories only. Together, these results suggest that sleep spindle activity is associated with the effect of prior knowledge on memory consolidation.

U2 - 10.1523/JNEUROSCI.3162-15.2016

DO - 10.1523/JNEUROSCI.3162-15.2016

M3 - Article

VL - 36

SP - 3799

EP - 3810

JO - The Journal of Neuroscience

JF - The Journal of Neuroscience

SN - 0270-6474

IS - 13

ER -