Closed-Loop Targeted Memory Reactivation during Sleep Improves Spatial Navigation

Frontiers in Human Neuroscience
Renee E ShimizuStephen 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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Citations

May 16, 2018·Annals of the New York Academy of Sciences·Nicola Cellini, Alessandra Capuozzo
Feb 23, 2019·Journal of Neural Engineering·Prathamesh M KulkarniZhe Chen
Apr 7, 2020·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Arnaud Boutin, Julien Doyon
Oct 24, 2018·Frontiers in Human Neuroscience·Itamar Lerner, Mark A Gluck
Apr 30, 2019·Frontiers in Human Neuroscience·Nicola CelliniStephen B Simons
Jun 2, 2020·Consciousness and Cognition·Adam Haar HorowitzRobert Stickgold
May 11, 2021·Frontiers in Human Neuroscience·Brian P JohnsonKelly P Westlake
May 21, 2021·Neurobiology of Learning and Memory·Claudia Picard-DelandTore Nielsen

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Software Mentioned

Tetris
StimTrak
BrainAmp
TMR
BrainVision Recorder
Intific
CL
OpenViBE
EEGlab
MATLAB

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