The neurophysiologic landscape of the sleep onset: a systematic review

Biabani, Nazanin; Birdseye, Adam; Higgins, Sean; Delogu, Alessio; Rosenzweig, Jan; Cvetkovic, Zoran; Nesbitt, Alexander; Drakatos, Panagis; Steier, Joerg; Kumari, Veena; O’Regan, David; Rosenzweig, Ivana

doi:10.21037/jtd-23-325

Cited by 4 publications

(3 citation statements)

References 86 publications

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“…However, these stages are far from the only physiologically-significant features we can extract from sleep EEG datasets. Other phenomena of interest could for instance be the dynamics of alpha activity in the final minutes of transitioning from wakefulness to sleep, which prior work has found to be associated with pathologies such as insomnia and sleep deprivation [96–98].…”

Section: Discussionmentioning

confidence: 99%

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Corticothalamic modelling of sleep neurophysiology with applications to mobile EEG

Morshedzadeh,

Kadak,

Bastiaens

et al. 2024

Preprint

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Recent developments in mathematical modelling of EEG data enable estimation and tracking of otherwise-inaccessible neurophysiological parameters over the course of a night’s sleep. Likewise, advancements in wearable electronics have enabled easier & more affordable at-home collection of sleep EEG data. The convergence of these two advances, namely neurophysiological modelling for mobile sleep EEG, has the potential to significantly improve sleep assessments in research and the clinic. However, this subject area has received limited attention in existing literature. To address this, we used an established mathematical model of the corticothalamic system to analyze EEG power spectra from 5 datasets, spanning from in-lab, research-grade systems to at-home mobile EEG devices. In the present work, we compare the convergent and divergent features of the data and the estimated physiological model parameters. While data quality and characteristics differ considerably, several key patterns consistent with previous theoretical and empirical work are observed. During the transition from lighter to deeper NREM stages, i) the exponent of the aperiodic (1/f) spectral component is increased, ii) bottom-up thalamocortical drive is reduced, iii) corticocortical connection strengths are increased. This effect, which we observe in healthy individuals across all 5 datasets, is interestingly absent in individuals taking SSRI antidepressants, suggesting possible effects of ascending neuromodulatory systems on corticothalamic oscillations. Our results provide a proof-of-principle for the utility and feasibility of this physiological modelling-based approach to analyzing data from mobile EEG devices, providing a mechanistic measure of brain physiology during sleep at home or in the lab.

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Section: Discussionmentioning

confidence: 99%

“…Other phenomena of interest could for instance be the dynamics of alpha activity in the final minutes of transitioning from wakefulness to sleep, which prior work has found to be associated with pathologies such as insomnia and sleep deprivation [96][97][98].…”

Section: Limitations and Next Stepsmentioning

confidence: 99%

Corticothalamic modelling of sleep neurophysiology with applications to mobile EEG

Morshedzadeh,

Kadak,

Bastiaens

et al. 2024

Preprint

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“…In recent years, sleep disorders and disturbances have become increasingly prevalent in modern society, affecting individuals of all ages from different walks of life. A systematic review by Biabani et al [7] delved into the neurophysiological landscape of sleep onset, highlighting the intricate processes involved in transitioning from wakefulness to sleep. They found that the activation of the prefrontal cortex, thalamus, and hypothalamus plays a crucial role in the transition from wakefulness to sleep.…”

Section: Adequate Sleep Is Necessary For Maintaining Psychological Ba...mentioning

confidence: 99%

Optimal Sleep as a Determinant of Healthy Lifespan

Balasubramani,

Pandi-Perumal,

Williams

2024

Preprint

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Sleep is an essential component of a healthy lifespan, influencing both physical and mental well-being along with good quality of life. Adequate sleep quality and quantity are associated with a host of health advantages, including enhanced immune function, learning and memory, emotional well-being, and cardiovascular health. Chronic sleep deprivation, or poor sleep quality, is associated with a variety of negative health outcomes, including an increased risk of obesity, diabetes, hypertension, depression, cancer, and even premature death. One compelling argument in favor of sleep as a predictor of a healthy lifespan is its effect on cellular repair and regeneration. During sleep, the body goes through important activities such as tissue repair, muscular growth, and memory consolidation. Sleep also helps the brain eliminate toxins and metabolic waste, which contributes to its optimal functioning. Without adequate sleep, these important processes are jeopardized, resulting in accelerated aging and greater susceptibility to chronic illnesses. Furthermore, sleep is essential for maintaining hormone balance, particularly those involved in appetite regulation and metabolism. Sleep disturbances can disrupt the regulation of these hormones, resulting in weight gain, metabolic diseases, and, ultimately, a shorter life span. Finally, prioritizing optimal sleep is pivotal for increasing longevity and general health. Emphasizing the importance of sleep hygiene and treating sleep-related dysfunctions should be part of the modern approach to extending healthy life.

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Orexin and Sleep Disturbances in Alpha-Synucleinopathies: a Systematic Review

Raheel,

See,

Munday

et al. 2024

Curr Neurol Neurosci Rep

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Purpose of Review Sleep disturbances are amongst most frequent non-motor symptoms of Parkinson’s Disease (PD), and they are similarly frequently reported in other alpha-syncleinopathies, such as Dementia with Lewy Bodies (DLB) and Multiple System Atrophy (MSA). More recently, the orexin system has been implicated in control of arousal based on salient environmental set points, and its dysregulation in sleep issues in alpha-synucleinopathies suggested by the findings from the translational animal models. However, its role in the patients with alpha-synucleinopathies remains unclear. We thus set to systematically review, and to critically assess, contemporary evidence on the association of the orexinergic system and sleep disturbances in alpha-synucleinopathies. In this systematic review, studies investigating orexin and sleep in alpha-synucleinopathies (Rapid Eye Movement (REM) Behaviour Disorder (RBD), Parkinson's Disease (PD), Dementia with Lewy Bodies (DLB), Multiple System Atrophy (MSA)) were identified using electronic database searches of PubMed, Web of Science and PsychINFO using MeSH terms, keywords, and title words such as “Alpha-synucleinopathies” AND “Orexin” AND “Sleep Disturbances”. Recent findings 17 studies were included in this systemic review, of which 2 studies on RBD, 10 on PD, 4 on DLB, and 1 on MSA patients. Taken together, RBD and PD studies suggest a potential adaptive increase in orexin levels in early stages of the neurodegenerative process, with reduced levels more often reported for later, more advanced stages of illness. To date, no differences in orexin levels were demonstrated between MSA patients and healthy controls. Summary There is a dearth of studies on the role of orexin levels in alpha-synucleinopathies. Moreover, significant methodologic limitations in the current body of work, including use of non-standardised research protocols and lack of prospective, multi-centre studies, disallow for any finite conclusion in regards to underlying pathomechanisms. Nonetheless, a picture of a complex, multifaceted relationship between the dysregulation of the orexinergic pathway and sleep disturbances in alpha-synucleinopathies is emerging. Hence, future studies disentangling orexinergic pathomechanisms of alpha-syncleinopathies are urgently needed to obtain a more comprehensive account of the role of orexinergic pathway in alpha-synucleinopathies. Pharmacological manipulations of orexins may have multiple therapeutic applications in treatment strategies, disease diagnosis, and might be effective for treating both motor and non-motor symptoms.

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The neurophysiologic landscape of the sleep onset: a systematic review

Cited by 4 publications

References 86 publications

Corticothalamic modelling of sleep neurophysiology with applications to mobile EEG

Corticothalamic modelling of sleep neurophysiology with applications to mobile EEG

Optimal Sleep as a Determinant of Healthy Lifespan

Orexin and Sleep Disturbances in Alpha-Synucleinopathies: a Systematic Review

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