The impact of acoustic stimulation during sleep on memory and sleep architecture: A meta‐analysis

Stanyer, Emily C.; Baniqued, Paul Dominick E.; Awais, Muhammad; Kouara, Layla; Davies, Andrew G.; Killan, Edward C.; Mushtaq, Faisal

doi:10.1111/jsr.13385

Cited by 18 publications

(13 citation statements)

References 64 publications

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“…Thus, it is perhaps not surprising that new research within the closed loop acoustic stimulation literature has revealed that the effectiveness of closed loop acoustic stimulation in improving sleep quality declines with age (Diep et al, 2020;Garcia-Molina et al, 2018;Stanyer et al, 2022). Accordingly, we expect a similar effect, reflected by Hypothesis 2.…”

Section: Closed Loop Acoustic Stimulation and Sleepmentioning

confidence: 70%

Using wearable technology (closed loop acoustic stimulation) to improve sleep quality and work outcomes.

Barnes¹,

Guarana²,

Lee³

et al. 2023

Journal of Applied Psychology

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Drawing from the neuroscience literature and recent advancements in sleep technology, we examine how closed loop acoustic stimulation can improve employee sleep and subsequent work behaviors. Specifically, we hypothesize that because closed loop acoustic stimulation improves sleep quality, it enhances work engagement, task performance, and organizational citizenship behavior (OCB) and lowers counterproductive workplace behavior. In a 4-week within-subjects field experiment, 81 employees wore headbands during sleep hours in active mode (with closed loop acoustic stimulation) or sham mode with the volume off (control condition). We found that the treatment condition was linked to higher work engagement, task performance, and OCB the next day (but not counterproductive workplace behavior). Additionally, we found that the headbands were more effective for younger employees. This study contributes to the literature on sleep and work by highlighting a cost-efficient intervention for improving sleep and sleep-related outcomes which do not rely on surmounting the difficulties entailed in increasing sleep duration, as well as age as a boundary condition limiting the effects.

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Section: Closed Loop Acoustic Stimulation and Sleepmentioning

confidence: 70%

Using wearable technology (closed loop acoustic stimulation) to improve sleep quality and work outcomes.

Barnes¹,

Guarana²,

Lee³

et al. 2023

Journal of Applied Psychology

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“…We hope this collection of articles highlights the importance and diversity of this approach. However, although steadily growing and already spurring two meta‐analyses (Stanyer et al, 2022; Wunderlin et al, 2021), the field of real‐time stimulation during sleep is still in its infancy, and there are still many open avenues to pursue. Following the timely scientific standard, future replication studies including larger sample sizes are needed to fully dissect the efficacy of real‐time stimulation.…”

Section: Discussionmentioning

confidence: 99%

“…Accordingly, this enhancement entailed an improved memory performance compared to a sham condition without stimuli. These experiments sparked enormous interest in implementing and advancing real‐time stimulation during sleep (Stanyer et al, 2022; Wunderlin et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Real‐time stimulation during sleep: prior findings, novel developments, and future perspectives

Ngo

Antony

Rasch

2022

Journal of Sleep Research

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Real-time brain stimulation is a powerful technique that continues to gain importance in the field of sleep and cognition. In this special issue, we collected 14 articles about real-time stimulation during sleep, including one review, 12 research articles and one letter covering both human and rodent research from various fields. We hope this special issue sparks greater interest and inspires fellow sleep researchers and clinicians to develop new ideas in the exciting topic of real-time stimulation.

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“…Rather than focusing on the absolute duration of sleep, clinical care and subsequent clinical research should concentrate on ensuring sleep maintenance and reducing awakenings, in order to reduce the likelihood of attack occurrence. For example, auditory closed-loop stimulation during non-rapid-eye-movement sleep is a potential target for non-invasive enhancement of slow wave sleep and ensuring sleep continuity and maintenance 36 .…”

Section: Discussionmentioning

confidence: 99%

Establishing Causality in the Relationship between Sleep and Migraine in a Global Sample: A Bayesian Approach

Stanyer

Brookes

Pang³

et al. 2022

Preprint

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BackgroundThere is a bidirectional link between sleep and migraine, however causality is difficult to determine. Previous studies rely on retrospective questionnaires, and small samples to support their findings. This study aimed to overcome this by teasing apart this relationship using sleep assessment and concomitant migraine data collected from a smartphone application using Bayesian modelling.MethodsAnonymized self-reported data on sleep and migraine from 11,166 global users (aged 18-81 years, mean: 41.21, standard deviation: 11.49) were collected from the Migraine Buddy application (Healint Pte. Ltd.) between 30thJune and 31stDecember 2021. Measures included: demographics, start and end times of each sleep episode and migraine attack, and the pain intensity for each migraine attack (visual analogue scale 0-10). Bayesian regression models were used to predict occurrence of a migraine attack the next day based on users’ deviations from mean monthly sleep, number of sleep interruptions, and hours slept the night before in those reporting ≥ 4 and <25 migraine attacks on average per month. Conversely, we modelled whether attack occurrence and pain intensity could predict hours slept that same night.ResultsOnce exclusion criteria were applied, there were 724 users (129 males, 412 females, 183 unknown) with an average age of 41.88 years (SD= 11.63), with a mean monthly number of attacks of 9.94. A greater number of sleep interruptions (95% Highest Density Interval (95% HDI [0.112 – 0.205]) and deviation from a user’s mean sleep the night before (95% HDI [0.040 – 0.080]) were significant predictors of a next day migraine attack. Total hours slept was not a significant predictor (95% HDI [-0.04 – 0.04]). Pain intensity, but not attack occurrence was a positive predictor of hours slept.DiscussionSleep fragmentation and deviation from typical sleep are the main drivers of the relationship between sleep and migraine, whereas overall sleep duration is not. Conversely, simply having a migraine attack does not predict sleep duration, it is the pain associated with an attack which alters sleep. This study has shed light on the causal mechanisms of sleep and migraine and highlights sleep hygiene as crucial in migraine management.

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The impact of acoustic stimulation during sleep on memory and sleep architecture: A meta‐analysis

Cited by 18 publications

References 64 publications

Using wearable technology (closed loop acoustic stimulation) to improve sleep quality and work outcomes.

Using wearable technology (closed loop acoustic stimulation) to improve sleep quality and work outcomes.

Real‐time stimulation during sleep: prior findings, novel developments, and future perspectives

Establishing Causality in the Relationship between Sleep and Migraine in a Global Sample: A Bayesian Approach

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