Sleep, Noninvasive Brain Stimulation, and the Aging Brain: Challenges and Opportunities

Romanella, Sara M.; Roe, Daniel L.; Paciorek, Rachel; Cappon, Davide; Ruffini, Giulio; Menardi, Arianna; Rossi, Alessandro; Rossi, Símone; Santarnecchi, Emiliano

doi:10.1016/j.arr.2020.101067

Cited by 27 publications

(18 citation statements)

References 232 publications

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“…Although studies have shown that changes in EEG activity during NREM sleep are associated with MCI, no studies have used it for the recognition of MCI. The high classification accuracy obtained in this paper once again proves that sleep slow waves and spindles can be used as early biomarkers for the development of AD ( Romanella et al, 2020 ). Early diagnosis would also provide patients access to available treatment, while possibly initiating an earlier treatment.…”

Section: Discussionsupporting

confidence: 58%

Sleep EEG-Based Approach to Detect Mild Cognitive Impairment

Geng

Wang

et al. 2022

Front. Aging Neurosci.

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Mild Cognitive Impairment (MCI) is an early stage of dementia, which may lead to Alzheimer’s disease (AD) in older adults. Therefore, early detection of MCI and implementation of treatment and intervention can effectively slow down or even inhibit the progression of the disease, thus minimizing the risk of AD. Currently, we know that published work relies on an analysis of awake EEG recordings. However, recent studies have suggested that changes in the structure of sleep may lead to cognitive decline. In this work, we propose a sleep EEG-based method for MCI detection, extracting specific features of sleep to characterize neuroregulatory deficit emergent with MCI. This study analyzed the EEGs of 40 subjects (20 MCI, 20 HC) with the developed algorithm. We extracted sleep slow waves and spindles features, combined with spectral and complexity features from sleep EEG, and used the SVM classifier and GRU network to identify MCI. In addition, the classification results of different feature sets (including with sleep features from sleep EEG and without sleep features from awake EEG) and different classification methods were evaluated. Finally, the MCI classification accuracy of the GRU network based on features extracted from sleep EEG was the highest, reaching 93.46%. Experimental results show that compared with the awake EEG, sleep EEG can provide more useful information to distinguish between MCI and HC. This method can not only improve the classification performance but also facilitate the early intervention of AD.

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Section: Discussionsupporting

confidence: 58%

Sleep EEG-Based Approach to Detect Mild Cognitive Impairment

Geng

Wang

et al. 2022

Front. Aging Neurosci.

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“…Aging, which is associated with cognitive decline, is another critical period of life that is associated with sleep disturbances (Lim et al, 2013). Finally, modulating sleep via therapeutic sleep deprivation (Wolf et al, 2016) or noninvasive brain stimulation (Romanella et al, 2020; Herrero Babiloni et al, 2021) and thereby affecting plasticity and cognitive parameters seems a promising yet understudied field for the future.…”

Section: Discussionmentioning

confidence: 99%

Sleep-dependent upscaled excitability, saturated neuroplasticity, and modulated cognition in the human brain

Ghanavati

Reinders

et al. 2021

Preprint

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Sleep and cognition are strongly linked via their impact on synaptic strength. Whether and how sleep deprivation modulates human brain physiology and cognition is, however, not well understood. Here we examined how cortical excitability, inducibility of LTP- and-LTD-like plasticity, learning and memory formation and higher-order cognition are affected by overnight sleep deprivation. We show that sleep deprivation upscales cortical excitability due to enhanced glutamate-related cortical facilitation and decreased and/or reversed GABAergic cortical inhibition. We furthermore demonstrate that non-invasive brain stimulation-induced LTP-like plasticity is abolished while LTD-like plasticity converts to excitatory LTP-like under sleep deprivation, likely caused by synaptic saturation and upscaled brain excitability. This was associated with increased synaptic strength measured by EEG theta activity. Finally, we show that learning and memory formation, behavioral counterparts of plasticity, and working memory and attention, which rely on cortical excitability, are impaired during sleep deprivation. Our data show converging effects of sleep deprivation on human brain physiology and cognition.

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“…In recent years, more and more researches focus on the sleep by tES. For more summary, please refer to several reviews [37]- [39].…”

Section: Discussionmentioning

confidence: 99%

Low Frequency Transcranial Alternating Current Stimulation Accelerates Sleep Onset Process

Xie¹,

Wang²,

Xiao³

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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The aim of this study is to find a kind of low frequency oscillation transcranial alternating current stimulation, which is directly applied to the scalp epidermal, to stimulate the cerebral cortex with a large spatial range of electric field oscillation across the brain hemisphere, and then trigger the start of the Top-Down processing of sleep homeostasis, in the daytime nap. Methods: Thirty healthy subjects, to take naps, underwent an intervention of electrical stimulation at 5 Hz, applied to the dorsal lateral prefrontal cortex. The subjects in the experiments were strictly controlled, and opened their eyes when stimulation was transmitted. Subsequently, after 15 min transcranial alternating current stimulation, subjects entered the experimental procedure of sleep. Electroencephalograph was taken at baseline and during sleep. Behavioral indicators were also added to the experiment. Results: We found that the total power of Electroencephalograph activity in the theta band, as well as low-frequency power at 1-7 Hz, was significantly entrained and increased, and that alpha activity was attenuated faster and spindle activity active earlier. Even more, the transition from awake to Non-rapid eye movement stages occurs earlier. Alertness also decreased when the subjects woke up after brief sleep. Conclusion: The intervention of low frequency brain rhythmic transcranial alternating current stimulation may induce accelerated effect on sleep onset process, thereby possibly alleviating the problems related to sleep disorders such as difficulty to reach the real sleep state quickly after lying down.

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Sleep, Noninvasive Brain Stimulation, and the Aging Brain: Challenges and Opportunities

Cited by 27 publications

References 232 publications

Sleep EEG-Based Approach to Detect Mild Cognitive Impairment

Sleep EEG-Based Approach to Detect Mild Cognitive Impairment

Sleep-dependent upscaled excitability, saturated neuroplasticity, and modulated cognition in the human brain

Low Frequency Transcranial Alternating Current Stimulation Accelerates Sleep Onset Process

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