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Closed-Loop Targeted Memory Reactivation during Sleep Improves Spatial Navigation

Overview of attention for article published in Frontiers in Human Neuroscience, February 2018
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Title
Closed-Loop Targeted Memory Reactivation during Sleep Improves Spatial Navigation
Published in
Frontiers in Human Neuroscience, February 2018
DOI 10.3389/fnhum.2018.00028
Pubmed ID
Authors

Renee E. Shimizu, Patrick M. Connolly, Nicola Cellini, Diana M. Armstrong, Lexus T. Hernandez, Rolando Estrada, Mario Aguilar, Michael P. Weisend, Sara C. Mednick, Stephen B. Simons

Abstract

Sounds associated with newly learned information that are replayed during non-rapid eye movement (NREM) sleep can improve recall in simple tasks. The mechanism for this improvement is presumed to be reactivation of the newly learned memory during sleep when consolidation takes place. We have developed an EEG-based closed-loop system to precisely deliver sensory stimulation at the time of down-state to up-state transitions during NREM sleep. Here, we demonstrate that applying this technology to participants performing a realistic navigation task in virtual reality results in a significant improvement in navigation efficiency after sleep that is accompanied by increases in the spectral power especially in the fast (12-15 Hz) sleep spindle band. Our results show promise for the application of sleep-based interventions to drive improvement in real-world tasks.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 139 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 24%
Student > Master 24 17%
Researcher 23 17%
Student > Bachelor 12 9%
Student > Doctoral Student 6 4%
Other 10 7%
Unknown 30 22%
Readers by discipline Count As %
Neuroscience 39 28%
Psychology 28 20%
Agricultural and Biological Sciences 7 5%
Medicine and Dentistry 6 4%
Engineering 3 2%
Other 11 8%
Unknown 45 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 February 2018.
All research outputs
#18,583,054
of 23,016,919 outputs
Outputs from Frontiers in Human Neuroscience
#6,095
of 7,192 outputs
Outputs of similar age
#327,785
of 437,309 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#130
of 137 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,192 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,309 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.