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https://www.readbyqxmd.com/read/28921744/cholinergic-basal-forebrain-structures-are-not-essential-for-mediation-of-the-arousing-action-of-glutamate
#1
Zoltán Lelkes, Shamsiiat Abdurakhmanova, Tarja Porkka-Heiskanen
The cholinergic basal forebrain contributes to cortical activation and receives rich innervations from the ascending activating system. It is involved in the mediation of the arousing actions of noradrenaline and histamine. Glutamatergic stimulation in the basal forebrain results in cortical acetylcholine release and suppression of sleep. However, it is not known to what extent the cholinergic versus non-cholinergic basal forebrain projection neurones contribute to the arousing action of glutamate. To clarify this question, we administered N-methyl-D-aspartate (NMDA), a glutamate agonist, into the basal forebrain in intact rats and after destruction of the cholinergic cells in the basal forebrain with 192 immunoglobulin (Ig)G-saporin...
September 18, 2017: Journal of Sleep Research
https://www.readbyqxmd.com/read/28912724/abnormalities-in-the-polysomnographic-adenosine-and-metabolic-response-to-sleep-deprivation-in-an-animal-model-of-hyperammonemia
#2
Selena Marini, Olena Santangeli, Pirjo Saarelainen, Benita Middleton, Namrata Chowdhury, Debra J Skene, Rodolfo Costa, Tarja Porkka-Heiskanen, Sara Montagnese
Patients with liver cirrhosis can develop hyperammonemia and hepatic encephalopathy (HE), accompanied by pronounced daytime sleepiness. Previous studies with healthy volunteers show that experimental increase in blood ammonium levels increases sleepiness and slows the waking electroencephalogram. As ammonium increases adenosine levels in vitro, and adenosine is a known regulator of sleep/wake homeostasis, we hypothesized that the sleepiness-inducing effect of ammonium is mediated by adenosine. Eight adult male Wistar rats were fed with an ammonium-enriched diet for 4 weeks; eight rats on standard diet served as controls...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28893295/a-brain-computer-interface-driven-by-imagining-different-force-loads-on-a-single-hand-an-online-feasibility-study
#3
Kun Wang, Zhongpeng Wang, Yi Guo, Feng He, Hongzhi Qi, Minpeng Xu, Dong Ming
BACKGROUND: Motor imagery (MI) induced EEG patterns are widely used as control signals for brain-computer interfaces (BCIs). Kinetic and kinematic factors have been proved to be able to change EEG patterns during motor execution and motor imagery. However, to our knowledge, there is still no literature reporting an effective online MI-BCI using kinetic factor regulated EEG oscillations. This study proposed a novel MI-BCI paradigm in which users can online output multiple commands by imagining clenching their right hand with different force loads...
September 11, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28887545/human-to-human-closed-loop-control-based-on-brain-to-brain-interface-and-muscle-to-muscle-interface
#4
M Ebrahim M Mashat, Guangye Li, Dingguo Zhang
Novel communication techniques have always been fascinating for humankind. This pilot study presents an approach to human interaction by combining direct brain-to-brain interface (BBI) and muscle-to-muscle interface (MMI) in a closed-loop pattern. In this system, artificial paths (data flows) functionally connect natural paths (nerves). The intention from one subject (sender) is recognized using electroencephalography (EEG) based brain-computer interface (BCI), which is sent out to trigger transcranial magnetic stimulation (TMS) on the other subject (receiver) and induce hand motion; meanwhile TMS results in a significant change on the motor evoked potentials (MEP) recorded by electromyography (EMG) of the receiver's arm, which triggers functional electrical stimulation (FES) applied to the sender's arm and generates hand motion...
September 8, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28883745/review-of-devices-used-in-neuromuscular-electrical-stimulation-for-stroke-rehabilitation
#5
REVIEW
Kotaro Takeda, Genichi Tanino, Hiroyuki Miyasaka
Neuromuscular electrical stimulation (NMES), specifically functional electrical stimulation (FES) that compensates for voluntary motion, and therapeutic electrical stimulation (TES) aimed at muscle strengthening and recovery from paralysis are widely used in stroke rehabilitation. The electrical stimulation of muscle contraction should be synchronized with intended motion to restore paralysis. Therefore, NMES devices, which monitor electromyogram (EMG) or electroencephalogram (EEG) changes with motor intention and use them as a trigger, have been developed...
2017: Medical Devices: Evidence and Research
https://www.readbyqxmd.com/read/28864241/theacrine-a-purine-alkaloid-from-camellia-assamica-var-kucha-with-a-hypnotic-property-via-the-adenosine-system
#6
Haoyi Qiao, Xiansheng Ye, Xiaoyu Bai, Jun He, Tingli Li, Jia Zhang, Weiku Zhang, Jiekun Xu
Theacrine (l,3,7,9-tetramethyluric acid), a purine alkaloid from Camellia assamica var. kucha, has diverse pharmacological properties, including sedative and hypnotic activities, anti-inflammatory and analgesic activities, antidepressant effects, and a protective effect against stress-provoked liver damage. The present study aims to investigate the possible mechanism of the hypnotic activity of theacrine. The results revealed that theacrine significantly enhanced pentobarbital-induced sleep at a dose of 3.0mg/kg (i...
August 31, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28830438/feature-ranking-and-rank-aggregation-for-automatic-sleep-stage-classification-a-comparative-study
#7
Shirin Najdi, Ali Abdollahi Gharbali, José Manuel Fonseca
BACKGROUND: Nowadays, sleep quality is one of the most important measures of healthy life, especially considering the huge number of sleep-related disorders. Identifying sleep stages using polysomnographic (PSG) signals is the traditional way of assessing sleep quality. However, the manual process of sleep stage classification is time-consuming, subjective and costly. Therefore, in order to improve the accuracy and efficiency of the sleep stage classification, researchers have been trying to develop automatic classification algorithms...
August 18, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28813966/exergaming-with-a-pediatric-exoskeleton-facilitating-rehabilitation-and-research-in-children-with-cerebral-palsy
#8
Thomas C Bulea, Zachary F Lerner, Andrew J Gravunder, Diane L Damiano
Effective rehabilitation of children with cerebral palsy (CP) requires intensive task-specific exercise but many in this population lack the motor capabilities to complete the desired training tasks. Providing robotic assistance is a potential solution yet the effects of this assistance are unclear. We combined a novel exoskeleton and exercise video game (exergame) to create a new rehabilitation paradigm for children with CP. We incorporated high density electroencephalography (EEG) to assess cortical activity...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813934/a-hybrid-brain-machine-interface-based-on-eeg-and-emg-activity-for-the-motor-rehabilitation-of-stroke-patients
#9
Andrea Sarasola-Sanz, Nerea Irastorza-Landa, Eduardo Lopez-Larraz, Carlos Bibian, Florian Helmhold, Doris Broetz, Niels Birbaumer, Ander Ramos-Murguialday
Including supplementary information from the brain or other body parts in the control of brain-machine interfaces (BMIs) has been recently proposed and investigated. Such enriched interfaces are referred to as hybrid BMIs (hBMIs) and have been proven to be more robust and accurate than regular BMIs for assistive and rehabilitative applications. Electromyographic (EMG) activity is one of the most widely utilized biosignals in hBMIs, as it provides a quite direct measurement of the motion intention of the user...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28809834/quantifying-infra-slow-dynamics-of-spectral-power-and-heart-rate-in-sleeping-mice
#10
Laura M J Fernandez, Sandro Lecci, Romain Cardis, Gil Vantomme, Elidie Béard, Anita Lüthi
Three vigilance states dominate mammalian life: wakefulness, non-rapid eye movement (non-REM) sleep, and REM sleep. As more neural correlates of behavior are identified in freely moving animals, this three-fold subdivision becomes too simplistic. During wakefulness, ensembles of global and local cortical activities, together with peripheral parameters such as pupillary diameter and sympathovagal balance, define various degrees of arousal. It remains unclear the extent to which sleep also forms a continuum of brain states-within which the degree of resilience to sensory stimuli and arousability, and perhaps other sleep functions, vary gradually-and how peripheral physiological states co-vary...
August 2, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28794189/time-of-day-influences-on-respiratory-sequelae-following-maximal-electroshock-induced-seizures-in-mice
#11
Benton S Purnell, Michael A Hajek, Gordon F Buchanan
Sudden unexpected death in epilepsy (SUDEP) is the leading cause of death in refractory epilepsy patients. While specific mechanisms underlying SUDEP are not well understood, evidence suggests most SUDEP occurs due to seizure-induced respiratory arrest. SUDEP also tends to happen at night. While this may be due to circumstances humans find themselves in at night, such as being alone without supervision or sleeping prone, or due to independent influences of sleep state, there are a number of reasons why the night (i...
August 9, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28790910/hybrid-brain-computer-interface-techniques-for-improved-classification-accuracy-and-increased-number-of-commands-a-review
#12
REVIEW
Keum-Shik Hong, Muhammad Jawad Khan
In this article, non-invasive hybrid brain-computer interface (hBCI) technologies for improving classification accuracy and increasing the number of commands are reviewed. Hybridization combining more than two modalities is a new trend in brain imaging and prosthesis control. Electroencephalography (EEG), due to its easy use and fast temporal resolution, is most widely utilized in combination with other brain/non-brain signal acquisition modalities, for instance, functional near infrared spectroscopy (fNIRS), electromyography (EMG), electrooculography (EOG), and eye tracker...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28782683/unidirectional-brain-to-muscle-connectivity-reveals-motor-cortex-control-of-leg-muscles-during-stereotyped-walking
#13
Fiorenzo Artoni, Chiara Fanciullacci, Federica Bertolucci, Alessandro Panarese, Scott Makeig, Silvestro Micera, Carmelo Chisari
In lower mammals, locomotion seems to be mainly regulated by subcortical and spinal networks. On the contrary, recent evidence suggests that in humans the motor cortex is also significantly engaged during complex locomotion tasks. However, a detailed understanding of cortical contribution to locomotion is still lacking especially during stereotyped activities. Here, we show that cortical motor areas finely control leg muscle activation during treadmill stereotyped walking. Using a novel technique based on a combination of Reliable Independent Component Analysis, source localization and effective connectivity, and by combining electroencephalographic (EEG) and electromyographic (EMG) recordings in able-bodied adults we were able to examine for the first time cortical activation patterns and cortico-muscular connectivity including information flow direction...
August 4, 2017: NeuroImage
https://www.readbyqxmd.com/read/28778057/unsupervised-detection-and-removal-of-muscle-artifacts-from-scalp-eeg-recordings-using-canonical-correlation-analysis-wavelets-and-random-forests
#14
Maria N Anastasiadou, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Georgios D Mitsis
OBJECTIVE: This paper proposes supervised and unsupervised algorithms for automatic muscle artifact detection and removal from long-term EEG recordings, which combine canonical correlation analysis (CCA) and wavelets with random forests (RF). METHODS: The proposed algorithms first perform CCA and continuous wavelet transform of the canonical components to generate a number of features which include component autocorrelation values and wavelet coefficient magnitude values...
September 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28776683/hypercapnia-induced-active-expiration-increases-in-sleep-and-enhances-ventilation-in-unanaesthetized-rats
#15
Isabela P Leirão, Carlos A Silva, Luciane H Gargaglioni, Glauber S F da Silva
Expiration is passive at rest but becomes active through recruitment of abdominal muscles under increased respiratory drive. Hypercapnia-induced active expiration has not been well explored in unanaesthetized rats. We hypothesized that (i) CO2 -evoked active expiration is recruited in a state-dependent manner i.e. differently in sleep or wakefulness and (ii) that recruitment of active expiration enhances ventilation, hence having an important functional role in meeting metabolic demand. To test these hypotheses Wistar rats (280-330 g) were implanted with electrodes for electroencephalography (EEG) and electromyography (EMG) of the neck, diaphragm (DIA) and abdominal (ABD) muscles...
August 3, 2017: Journal of Physiology
https://www.readbyqxmd.com/read/28727560/a-multimodal-framework-based-on-integration-of-cortical-and-muscular-activities-for-decoding-human-intentions-about-lower-limb-motions
#16
Chengkun Cui, Gui-Bin Bian, Zeng-Guang Hou, Jun Zhao, Hao Zhou
In this study, a multimodal fusion framework based on three different modal biosignals is developed to recognize human intentions related to lower limb multi-joint motions which commonly appear in daily life. Electroencephalogram (EEG), electromyogram (EMG) and mechanomyogram (MMG) signals were simultaneously recorded from twelve subjects while performing nine lower limb multi-joint motions. These multimodal data are used as the inputs of the fusion framework for identification of different motion intentions...
August 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28719739/graphene-electronic-tattoo-sensors
#17
Shideh Kabiri Ameri, Rebecca Ho, Hongwoo Jang, Li Tao, Youhua Wang, Liu Wang, David M Schnyer, Deji Akinwande, Nanshu Lu
Tattoo-like epidermal sensors are an emerging class of truly wearable electronics, owing to their thinness and softness. While most of them are based on thin metal films, a silicon membrane, or nanoparticle-based printable inks, we report sub-micrometer thick, multimodal electronic tattoo sensors that are made of graphene. The graphene electronic tattoo (GET) is designed as filamentary serpentines and fabricated by a cost- and time-effective "wet transfer, dry patterning" method. It has a total thickness of 463 ± 30 nm, an optical transparency of ∼85%, and a stretchability of more than 40%...
August 22, 2017: ACS Nano
https://www.readbyqxmd.com/read/28701548/intermittent-cortical-involvement-in-the-preservation-of-tremor-in-essential-tremor
#18
Sarvi Sharifi, Frauke Luft, Rens Verhagen, Tjitske Heida, Johannes D Speelman, Lo J Bour, Anne-Fleur van Rootselaar
Cortical involvement in essential tremor, an involuntary action tremor supposedly of subcortical origin, is uncertain. Conflicting results of corticomuscular coherence studies in essential tremor might suggest intermittent corticomuscular coupling. Based on the literature, we hypothesize that corticomuscular coupling is influenced by bilateral motor synchronization and 'cognitive states' such as awareness of tremor. Here, we investigated 1) the existence of intermittent CMC in essential tremor, and 2) factors that influence CMC strength...
July 12, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28674176/effects-of-chronic-social-defeat-stress-on-sleep-and-circadian-rhythms-are-mitigated-by-kappa-opioid-receptor-antagonism
#19
Audrey M Wells, Elysia Ridener, Clinton A Bourbonais, Woori Kim, Harry Pantazopoulos, F Ivy Carroll, Kwang-Soo Kim, Bruce M Cohen, William A Carlezon
Stress plays a critical role in the neurobiology of mood and anxiety disorders. Sleep and circadian rhythms are affected in many of these conditions. Here we examined the effects of chronic social defeat stress (CSDS), an ethological form of stress, on sleep and circadian rhythms. We exposed male mice implanted with wireless telemetry transmitters to a 10 day CSDS regimen known to produce anhedonia (a depressive-like effect) and social avoidance (an anxiety-like effect). EEG, EMG, body temperature, and locomotor activity data were collected continuously during the CSDS regimen and a 5 day recovery period...
August 9, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28671632/a-hybrid-fpga-based-system-for-eeg-and-emg-based-online-movement-prediction
#20
Hendrik Wöhrle, Marc Tabie, Su Kyoung Kim, Frank Kirchner, Elsa Andrea Kirchner
A current trend in the development of assistive devices for rehabilitation, for example exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality and usability, for example by predicting the patient's upcoming movements using electroencephalography (EEG) or electromyography (EMG). However, these modalities have different temporal properties and classification accuracies, which results in specific advantages and disadvantages. To use physiological data analysis in rehabilitation devices, the processing should be performed in real-time, guarantee close to natural movement onset support, provide high mobility, and should be performed by miniaturized systems that can be embedded into the rehabilitation device...
July 3, 2017: Sensors
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