Techniques for chronic monitoring of brain activity in freely moving sheep using wireless EEG recording

Perentos, Nicholas; Nicol, A.C.; Martins, A. Cardoso; Stewart, James McD.; Taylor, Paul C.J.; Morton, A. Jennifer

doi:10.1016/j.jneumeth.2016.11.010

Cited by 24 publications

(29 citation statements)

References 35 publications

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“…Different entropies differ significantly in different wavelet packet coefficients, which can reflect fully the different stages of sleep [ 37 , 38 , 39 , 40 ]. Multiscale entropy can represent system dynamics features on multiple time scales and may reveal specific characteristics in different sleep stages, which is beneficial to the recognition of sleep types [ 72 , 73 ]. In general, neurons in the brain exhibit reduced activity during sleep but follow a specific pattern [ 74 ].…”

Section: Discussionmentioning

confidence: 99%

A Novel Microwave Treatment for Sleep Disorders and Classification of Sleep Stages Using Multi-Scale Entropy

Geng

Yang

Cai

et al. 2020

Entropy

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The aim of this study was to develop an integrated system of non-contact sleep stage detection and sleep disorder treatment for health monitoring. Hence, a method of brain activity detection based on microwave scattering technology instead of scalp electroencephalogram was developed to evaluate the sleep stage. First, microwaves at a specific frequency were used to penetrate the functional sites of the brain in patients with sleep disorders to change the firing frequency of the activated areas of the brain and analyze and evaluate statistically the effects on sleep improvement. Then, a wavelet packet algorithm was used to decompose the microwave transmission signal, the refined composite multiscale sample entropy, the refined composite multiscale fluctuation-based dispersion entropy and multivariate multiscale weighted permutation entropy were obtained as features from the wavelet packet coefficient. Finally, the mutual information-principal component analysis feature selection method was used to optimize the feature set and random forest was used to classify and evaluate the sleep stage. The results show that after four times of microwave modulation treatment, sleep efficiency improved continuously, the overall maintenance was above 80%, and the insomnia rate was reduced gradually. The overall classification accuracy of the four sleep stages was 86.4%. The results indicate that the microwaves with a certain frequency can treat sleep disorders and detect abnormal brain activity. Therefore, the microwave scattering method is of great significance in the development of a new brain disease treatment, diagnosis and clinical application system.

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Section: Discussionmentioning

confidence: 99%

A Novel Microwave Treatment for Sleep Disorders and Classification of Sleep Stages Using Multi-Scale Entropy

Geng

Yang

Cai

et al. 2020

Entropy

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“…The surgery for implanting electrodes was conducted as described by Perentos et al (2016Perentos et al ( , 2017. Briefly, subdural electrodes (3 mm diameter Â 1 mm deep Ag/AgCl discs; NDimension (Science and Engineering) were implanted at sites across the cortex (Fig.…”

Section: Surgerymentioning

confidence: 99%

Characterizing Sleep Spindles in Sheep

Schneider

Vas

Nicol

et al. 2020

eNeuro

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Sleep spindles are distinctive transient patterns of brain activity that typically occur during non-rapid eye movement (NREM) sleep in humans and other mammals. Thought to be important for the consolidation of learning, they may also be useful for indicating the progression of aging and neurodegenerative diseases. The aim of this study was to characterize sleep spindles in sheep (Ovis aries). We recorded electroencephalographs wirelessly from six sheep over a continuous period containing 2 nights and a day. We detected and characterized spindles using an automated algorithm. We found that sheep sleep spindles fell within the classical range seen in humans (10-16 Hz), but we did not see a further separation into fast and slow bands. Spindles were detected predominantly during NREM sleep. Spindle characteristics (frequency, duration, density, topography) varied between individuals, but were similar within individuals between nights. Spindles that occurred during NREM sleep in daytime were indistinguishable from those found during NREM sleep at night. Surprisingly, we also detected numerous spindle-like events during unequivocal periods of wake during the day. These events were mainly local (detected at single sites), and their characteristics differed from spindles detected during sleep. These "wake spindles" are likely to be events that are commonly categorized as "spontaneous alpha activity" during wake. We speculate that wake and sleep spindles are generated via different mechanisms, and that wake spindles play a role in cognitive processes that occur during the daytime.Sleep spindles provide an indication of brain health and function. In this study, we characterize sleep spindles in sheep (Ovis aries) for the first time. We found that sleep spindles in sheep are similar to those found in humans in many respects (e.g., density, duration, and frequency) and occurred mainly during non-rapid eye movement sleep. Interestingly however, we also saw spindles during wake in the day. Spindles detected during wake were characteristically distinct from those occurring during sleep. We suggest that wake and sleep spindles are generated via different mechanisms and may have different functional roles. Wake spindles may be a component of cognitive processes that occur during the daytime, such as memory retrieval and attention.

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“…The electrodes were anchored to the skull with screws and dental cement. All of the surgical procedures were performed stereotaxically under aseptic conditions ( Yang et al ., 2011b ; Perentos et al ., 2017 ).…”

Section: Animal Surgery and Eeg Recordingmentioning

confidence: 99%

Sleep-Aids Derived from Natural Products

et al. 2018

Biomolecules & Therapeutics

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Although drugs such as barbiturates and benzodiazepines are often used for the treatment of insomnia, they are associated with various side effects such as habituations, tolerance and addiction. Alternatively, natural products with minimal unwanted effects have been preferred for the treatment of acute and/or mild insomnia, with additional benefits of overall health-promotion. Basic and clinical researches on the mechanisms of action of natural products have been carried out so far in insomnia treatments. Recent studies have been focusing on diverse chemical components available in natural products, with an interest of developing drugs that can improve sleep duration and quality. In the last 15 years, our co-workers have been actively looking for candidate substances from natural products that can relieve insomnia. This review is, therefore, intended to bring pharmacological data regarding to the effects of natural products on sleep duration and quality, mainly through the activation of GABAA receptors. It is imperative that phytochemicals will provide useful information during electroencephalography (EEG) analysis and serve as an alternative medications for insomnia patients who are reluctant to use conventional drugs.

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Techniques for chronic monitoring of brain activity in freely moving sheep using wireless EEG recording

Cited by 24 publications

References 35 publications

A Novel Microwave Treatment for Sleep Disorders and Classification of Sleep Stages Using Multi-Scale Entropy

A Novel Microwave Treatment for Sleep Disorders and Classification of Sleep Stages Using Multi-Scale Entropy

Characterizing Sleep Spindles in Sheep

Sleep-Aids Derived from Natural Products

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