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The promise of portable remote auditory stimulation tools to enhance slow-wave sleep and prevent cognitive decline

JOURNAL OF SLEEP RESEARCH (2023)

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The GABAA receptor modulator zolpidem augments hippocampal-prefrontal coupling during non-REM sleep

Flavie Kersante et al.

Summary: Benzodiazepines and 'Z-drugs' are commonly prescribed as hypnotics, but their effects on network and cellular activity during sleep and memory consolidation are not well understood. This study investigated the effects of zolpidem and other drugs on neural population activity and found that zolpidem enhanced coordinated activity between the hippocampus and neocortex during non-REM sleep. These findings suggest that zolpidem may have the potential to modulate offline memory processing.

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Auditory closed-loop stimulation on sleep slow oscillations using in-ear EEG sensors

David Henao et al.

Summary: This study aimed to investigate the potential usability of in-the-ear electroencephalography for implementing auditory closed-loop stimulation during sleep. The findings suggest that in-ear activity provides enough information to automatically detect sleep slow oscillations in real-time, and successful enhancement of scalp slow oscillations was achieved using in-ear signals.

JOURNAL OF SLEEP RESEARCH (2022)

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Article Clinical Neurology

Automatized online prediction of slow-wave peaks during non-rapid eye movement sleep in young and old individuals: Why we should not always rely on amplitude thresholds

Marina Wunderlin et al.

Summary: Brain-state-dependent stimulation during slow-wave sleep shows promise for treating psychiatric and neurodegenerative diseases. A commonly used slow-wave prediction algorithm relies on amplitude thresholds, but research suggests this may overlook many slow-waves in older adults and psychiatric patients. Comparing amplitude-based and multidimensional approaches, the study found multidimensional prediction to be more accurate and recommended its use particularly in older or psychiatric populations.

JOURNAL OF SLEEP RESEARCH (2022)

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Dan Guo et al.

Summary: Spontaneous synchronization and de-synchronization of neurons during sleep, especially during slow wave sleep, has been studied. The current sleep classification model based on EEG has overlooked the accompanying physiological changes. Researchers propose a cluster synchronization model to explain the emergence of slow wave sleep in healthy individuals and develop an automated algorithm for sleep stage classification.

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Article Neurosciences

Closed-loop modulation of local slow oscillations in human NREM sleep

Simon Ruch et al.

Summary: Slow-wave sleep is a crucial stage for the body's recovery, characterized by slow oscillations in the scalp EEG. Studies have shown that closed-loop sensory stimulation targeting the UP-states of slow oscillations can enhance sleep depth and promote sleep's recuperative functions. However, conventional closed-loop stimulation algorithms may overlook the individual differences in slow oscillations on the scalp. Researchers have proposed a novel EEG-based algorithm, TOPOSO, that can accurately detect and target specific cerebral origins of local slow oscillations.

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Benchmarking Real-Time Algorithms for In-Phase Auditory Stimulation of Low Amplitude Slow Waves With Wearable EEG Devices During Sleep

Maria Laura Ferster et al.

Summary: This study introduces two novel algorithms for real-time EEG phase estimation and compares them with a traditional method. The results show that both new algorithms can accurately estimate the phase of EEG signals, even at low amplitudes and non-constant frequencies. These algorithms perform better in targeting low-amplitude and higher frequency SW. Hardware testing demonstrates that these algorithms have little impact on microcontroller load.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2022)

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Nathan W. Whitmore et al.

Summary: Targeted memory reactivation (TMR) is a technique that can reactivate specific memories during sleep using a sensory stimulus. To automate TMR, researchers developed the SleepStim system, which utilizes a smartwatch and smartphone for data collection and auditory cues. Experimental results demonstrated that SleepStim can effectively improve spatial memory, with stimulus intensity influencing the TMR effect.

JOURNAL OF SLEEP RESEARCH (2022)

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Summary: The widely used guidelines for sleep staging have limitations in accurately capturing the physiological changes associated with sleep. In this study, a novel analysis framework was developed to extensively characterize sleep dynamics using over 7700 time-series features. The results showed significant overlap between the defined sleep structure by the new approach and the traditional visual scoring. However, discrepancies were observed due to the extensive characterization that captured distinctive time-series properties within traditionally defined sleep stages.

SLEEP MEDICINE (2022)

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Zolpidem Maintains Memories for Negative Emotions Across a Night of Sleep

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COMMUNICATIONS MEDICINE (2022)

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JOURNAL OF SLEEP RESEARCH (2021)

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Modulating overnight memory consolidation by acoustic stimulation during slow-wave sleep: a systematic review and meta-analysis

Marina Wunderlin et al.

Summary: The meta-analysis explored the connection between acoustic stimulation during sleep and episodic memory consolidation, finding that acoustic enhancement of SWS tends to improve overnight consolidation of episodic memory with small effects, except in some subgroup models. This suggests that currently, there is not enough evidence to recommend the use of commercially available devices for enhancing memory consolidation during sleep.

SLEEP (2021)

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