scholarly journals Promoting memory consolidation during sleep: A meta-analysis of targeted memory reactivation.

2020 ◽  
Vol 146 (3) ◽  
pp. 218-244 ◽  
Author(s):  
Xiaoqing Hu ◽  
Larry Y. Cheng ◽  
Man Hey Chiu ◽  
Ken A. Paller
Keyword(s):  
Memory Consolidation ◽  
Meta Analysis ◽  
Memory Reactivation

scholarly journals Methods for Assessment of Memory Reactivation

2018 ◽  
Vol 30 (8) ◽  
pp. 2175-2209 ◽  
Author(s):  
Shizhao Liu ◽  
Andres D. Grosmark ◽  
Zhe Chen
Keyword(s):  
Statistical Methods ◽  
Memory Consolidation ◽  
Slow Wave Sleep ◽  
Brain Regions ◽  
Weighted Distance ◽  
Memory Reactivation ◽  
Statistical Dependency ◽  
Stored Information ◽  
Robust Statistical Methods ◽  
Population Decoding

It has been suggested that reactivation of previously acquired experiences or stored information in declarative memories in the hippocampus and neocortex contributes to memory consolidation and learning. Understanding memory consolidation depends crucially on the development of robust statistical methods for assessing memory reactivation. To date, several statistical methods have seen established for assessing memory reactivation based on bursts of ensemble neural spike activity during offline states. Using population-decoding methods, we propose a new statistical metric, the weighted distance correlation, to assess hippocampal memory reactivation (i.e., spatial memory replay) during quiet wakefulness and slow-wave sleep. The new metric can be combined with an unsupervised population decoding analysis, which is invariant to latent state labeling and allows us to detect statistical dependency beyond linearity in memory traces. We validate the new metric using two rat hippocampal recordings in spatial navigation tasks. Our proposed analysis framework may have a broader impact on assessing memory reactivations in other brain regions under different behavioral tasks.

scholarly journals Resting States and Memory Consolidation: A Preregistered Replication and Meta-Analysis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Graelyn B. Humiston ◽  
Matthew A. Tucker ◽  
Theodore Summer ◽  
Erin J. Wamsley
Keyword(s):  
Memory Consolidation ◽  
Verbal Memory ◽  
Declarative Memory ◽  
Meta Analysis ◽  
Significant Benefit ◽  
Distractor Task ◽  
Memory Retention ◽  
Eyes Closed ◽  
Spontaneous Thought ◽  
The Mind

AbstractWhile several recent studies have found that a post-encoding period of quiet, eyes-closed waking rest benefits memory consolidation, others have reported null effects. To more precisely estimate this effect, we conducted a quasi-exact behavioural replication of a recent study from our lab, which found that post-training eyes-closed waking rest improved declarative memory relative to a distractor task. Contrary to our hypothesis, the observed effect was not significant; however, it did fall within the 95% confidence interval of our previous finding. Furthermore, a meta-analytic effect summarizing n = 10 similar studies indicates a moderately sized and significant benefit of waking rest for verbal memory (d = 0.38, p < 0.001). We argue that the apparently conflicting results in this literature are most parsimoniously explained by variability due to sampling and/or measurement error, in a group of studies often underpowered to detect a smaller-than-expected effect of rest. Additionally, exploratory analyses revealed that increased trait daydreaming frequency negatively correlated with memory retention during eyes-closed rest. Together with our replication and meta-analysis, these studies suggest that waking rest confers a small but significant benefit on memory consolidation, and that this benefit requires the mind to be free from attention to either external tasks or spontaneous thought.

Erratum to “Age-related differences in sleep-based memory consolidation: A meta-analysis” [Neuropsychologia 97 (2017) 46–55]

2017 ◽  
Vol 102 ◽  
pp. 248-249 ◽  
Author(s):  
Wen-Jun Gui ◽  
Hui-Jie Li ◽  
Yu-Hua Guo ◽  
Peng Peng ◽  
Xu Lei ◽  
...  
Keyword(s):  
Memory Consolidation ◽  
Meta Analysis ◽  
Age Related

Bedtime Music, Involuntary Musical Imagery, and Sleep

2021 ◽  
pp. 095679762198972
Author(s):  
Michael K. Scullin ◽  
Chenlu Gao ◽  
Paul Fillmore
Keyword(s):  
Sleep Quality ◽  
Memory Consolidation ◽  
Instrumental Music ◽  
Slow Oscillation ◽  
Music Listening ◽  
Memory Reactivation ◽  
Musical Imagery ◽  
Popular Songs ◽  
Nighttime Sleep

Many people listen to music for hours every day, often near bedtime. We investigated whether music listening affects sleep, focusing on a rarely explored mechanism: involuntary musical imagery (earworms). In Study 1 ( N = 199, mean age = 35.9 years), individuals who frequently listen to music reported persistent nighttime earworms, which were associated with worse sleep quality. In Study 2 ( N = 50, mean age = 21.2 years), we randomly assigned each participant to listen to lyrical or instrumental-only versions of popular songs before bed in a laboratory, discovering that instrumental music increased the incidence of nighttime earworms and worsened polysomnography-measured sleep quality. In both studies, earworms were experienced during awakenings, suggesting that the sleeping brain continues to process musical melodies. Study 3 substantiated this possibility by showing a significant increase in frontal slow oscillation activity, a marker of sleep-dependent memory consolidation. Thus, some types of music can disrupt nighttime sleep by inducing long-lasting earworms that are perpetuated by spontaneous memory-reactivation processes.

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