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Sleep Spindles

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https://www.readbyqxmd.com/read/28649997/characterizing-sleep-spindles-in-11-630-individuals-from-the-national-sleep-research-resource
#1
S M Purcell, D S Manoach, C Demanuele, B E Cade, S Mariani, R Cox, G Panagiotaropoulou, R Saxena, J Q Pan, J W Smoller, S Redline, R Stickgold
Sleep spindles are characteristic electroencephalogram (EEG) signatures of stage 2 non-rapid eye movement sleep. Implicated in sleep regulation and cognitive functioning, spindles may represent heritable biomarkers of neuropsychiatric disease. Here we characterize spindles in 11,630 individuals aged 4 to 97 years, as a prelude to future genetic studies. Spindle properties are highly reliable but exhibit distinct developmental trajectories. Across the night, we observe complex patterns of age- and frequency-dependent dynamics, including signatures of circadian modulation...
June 26, 2017: Nature Communications
https://www.readbyqxmd.com/read/28647492/eszopiclone-for-persistent-negative-symptoms-in-schizophrenia-an-unintended-n-of-1-study
#2
Urvakhsh Meherwan Mehta, Vinutha Ravishankar, Jagadisha Thirthalli
Persistent negative and cognitive symptoms in patients with schizophrenia pose a significant challenge to clinicians. Being a heterogeneous cluster of symptoms with potentially distinct underlying pathogenesis, it is important to examine novel therapies based on emerging neurobiological evidence. Eszopiclone is known to enhance the deficient sleep spindles that are related to impairments in learning and memory in schizophrenia. In this report we highlight the potential utility of eszopiclone in treating persistent negative symptoms in a patient with chronic schizophrenia...
June 21, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28637840/promoting-sleep-oscillations-and-their-functional-coupling-by-transcranial-stimulation-enhances-memory-consolidation-in-mild-cognitive-impairment
#3
Julia Ladenbauer, Josef Ladenbauer, Nadine Külzow, Rebecca de Boor, Elena Avramova, Ulrike Grittner, Agnes Flöel
Alzheimer's disease (AD) not only involves loss of memory functions but also prominent deterioration of sleep physiology, already evident in the stage of mild cognitive impairment (MCI). Cortical slow oscillations (SO, 0.5-1 Hz) and thalamo-cortical spindle activity (12-15 Hz) during sleep, and their temporal coordination, are considered critical for memory formation. We investigated the potential of slow oscillatory transcranial direct current stimulation (so-tDCS), applied during a daytime nap in a sleep state-dependent manner, to modulate these activity patterns and sleep-related memory consolidation in 9 male and 7 female human patients with MCI...
June 21, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28600157/multichannel-sleep-spindle-detection-using-sparse-low-rank-optimization
#4
Ankit Parekh, Ivan W Selesnick, Ricardo S Osorio, Andrew W Varga, David M Rapoport, Indu Ayappa
BACKGROUND: Automated single-channel spindle detectors, for human sleep EEG, are blind to the presence of spindles in other recorded channels unlike visual annotation by a human expert. NEW METHOD: We propose a multichannel spindle detection method that aims to detect global and local spindle activity in human sleep EEG. Using a non-linear signal model, which assumes the input EEG to be the sum of a transient and an oscillatory component, we propose a multichannel transient separation algorithm...
June 6, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28572762/evaluating-and-improving-automatic-sleep-spindle-detection-by-using-multi-objective-evolutionary-algorithms
#5
Min-Yin Liu, Adam Huang, Norden E Huang
Sleep spindles are brief bursts of brain activity in the sigma frequency range (11-16 Hz) measured by electroencephalography (EEG) mostly during non-rapid eye movement (NREM) stage 2 sleep. These oscillations are of great biological and clinical interests because they potentially play an important role in identifying and characterizing the processes of various neurological disorders. Conventionally, sleep spindles are identified by expert sleep clinicians via visual inspection of EEG signals. The process is laborious and the results are inconsistent among different experts...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28541914/an-ultralow-power-sleep-spindle-detection-system-on-chip
#6
Saam Iranmanesh, Esther Rodriguez-Villegas
This paper describes a full system-on-chip to automatically detect sleep spindle events from scalp EEG signals. These events, which are known to play an important role on memory consolidation during sleep, are also characteristic of a number of neurological diseases. The operation of the system is based on a previously reported algorithm, which used the Teager energy operator, together with the Spectral Edge Frequency (SEF50) achieving more than 70% sensitivity and 98% specificity. The algorithm is now converted into a hardware analog based customized implementation in order to achieve extremely low levels of power...
May 24, 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28541306/coordination-of-cortical-and-thalamic-activity-during-non-rem-sleep-in-humans
#7
Rachel A Mak-McCully, Matthieu Rolland, Anna Sargsyan, Chris Gonzalez, Michel Magnin, Patrick Chauvel, Marc Rey, Hélène Bastuji, Eric Halgren
Every night, the human brain produces thousands of downstates and spindles during non-REM sleep. Previous studies indicate that spindles originate thalamically and downstates cortically, loosely grouping spindle occurrence. However, the mechanisms whereby the thalamus and cortex interact in generating these sleep phenomena remain poorly understood. Using bipolar depth recordings, we report here a sequence wherein: (1) convergent cortical downstates lead thalamic downstates; (2) thalamic downstates hyperpolarize thalamic cells, thus triggering spindles; and (3) thalamic spindles are focally projected back to cortex, arriving during the down-to-upstate transition when the cortex replays memories...
May 25, 2017: Nature Communications
https://www.readbyqxmd.com/read/28522097/sleep-spindle-density-in-narcolepsy
#8
Julie Anja Engelhard Christensen, Miki Nikolic, Mathias Hvidtfelt, Birgitte Rahbek Kornum, Poul Jennum
BACKGROUND: Patients with narcolepsy type 1 (NT1) show alterations in sleep stage transitions, rapid-eye-movement (REM) and non-REM sleep due to the loss of hypocretinergic signaling. However, the sleep microstructure has not yet been evaluated in these patients. We aimed to evaluate whether the sleep spindle (SS) density is altered in patients with NT1 compared to controls and patients with narcolepsy type 2 (NT2). METHODS: All-night polysomnographic recordings from 28 NT1 patients, 19 NT2 patients, 20 controls (C) with narcolepsy-like symptoms, but with normal cerebrospinal fluid hypocretin levels and multiple sleep latency tests, and 18 healthy controls (HC) were included...
June 2017: Sleep Medicine
https://www.readbyqxmd.com/read/28506629/hippocampal-information-processing-across-sleep-wake-cycles
#9
REVIEW
Kenji Mizuseki, Hiroyuki Miyawaki
According to a two-stage memory consolidation model, during waking theta states, afferent activity from the neocortex to the hippocampus induces transient synaptic modification in the hippocampus, where the information is deposited as a labile form of memory trace. During subsequent sharp-wave ripples (SPW-Rs), the newly acquired hippocampal information is transferred to the neocortex and stored as a long-lasting memory trace. Consistent with this hypothesis, waking theta states and SPW-Rs distinctly control information flow in the hippocampal-entorhinal loop...
May 12, 2017: Neuroscience Research
https://www.readbyqxmd.com/read/28493938/sleep-spindle-detection-based-on-non-experts-a-validation-study
#10
Rui Zhao, Jinbo Sun, Xinxin Zhang, Huanju Wu, Peng Liu, Xuejuan Yang, Wei Qin
Accurate and efficient detection of sleep spindles is a methodological challenge. The present study describes a method of using non-experts for manual detection of sleep spindles. We recruited five experts and 168 non-experts to manually identify spindles in stage N2 and stage N3 sleep data using a MATLAB interface. Scorers classified each spindle into definite and indefinite spindle (with weights of 1 and 0.5, respectively). First, a method of optimizing the thresholds of the expert/non-expert group consensus according to the results of experts and non-experts themselves is described...
2017: PloS One
https://www.readbyqxmd.com/read/28465166/sleeping-on-the-motor-engram-the-multifaceted-nature-of-sleep-related-motor-memory-consolidation
#11
REVIEW
Bradley R King, Kerstin Hoedlmoser, Franziska Hirschauer, Nina Dolfen, Genevieve Albouy
For the past two decades, it has generally been accepted that sleep benefits motor memory consolidation processes. This notion, however, has been challenged by recent studies and thus the sleep and motor memory story is equivocal. Currently, and in contrast to the declarative memory domain, a comprehensive overview and synthesis of the effects of post-learning sleep on the behavioral and neural correlates of motor memory consolidation is not available. We therefore provide an extensive review of the literature in order to highlight that sleep-dependent motor memory consolidation depends upon multiple boundary conditions, including particular features of the motor task, the recruitment of relevant neural substrates (and the hippocampus in particular), as well as the specific architecture of the intervening sleep period (specifically, sleep spindle and slow wave activity)...
April 29, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28454598/the-accuracy-night-to-night-variability-and-stability-of-frontopolar-sleep-electroencephalography-biomarkers
#12
Daniel J Levendowski, Luigi Ferini-Strambi, Charlene Gamaldo, Mindy Cetel, Robert Rosenberg, Philip R Westbrook
STUDY OBJECTIVES: To assess the validity of sleep architecture and sleep continuity biomarkers obtained from a portable, multichannel forehead electroencephalography (EEG) recorder. METHODS: Forty-seven subjects simultaneously underwent polysomnography (PSG) while wearing a multichannel frontopolar EEG recording device (Sleep Profiler). The PSG recordings independently staged by 5 registered polysomnographic technologists were compared for agreement with the autoscored sleep EEG before and after expert review...
April 25, 2017: Journal of Clinical Sleep Medicine: JCSM: Official Publication of the American Academy of Sleep Medicine
https://www.readbyqxmd.com/read/28444788/night-sleep-in-patients-with-vegetative-state
#13
Yuri G Pavlov, Steffen Gais, Friedemann Müller, Monika Schönauer, Barbara Schäpers, Jan Born, Boris Kotchoubey
Polysomnographic recording of night sleep was carried out in 15 patients with the diagnosis vegetative state (syn. unresponsive wakefulness syndrome). Sleep scoring was performed by three raters, and confirmed by means of a spectral power analysis of the electroencephalogram, electrooculogram and electromyogram. All patients but one exhibited at least some signs of sleep. In particular, sleep stage N1 was found in 13 patients, N2 in 14 patients, N3 in nine patients, and rapid eye movement sleep in 10 patients...
April 26, 2017: Journal of Sleep Research
https://www.readbyqxmd.com/read/28431164/low-activity-microstates-during-sleep
#14
Hiroyuki Miyawaki, Yazan N Billeh, Kamran Diba
Study Objectives: To better understand the distinct activity patterns of the brain during sleep, we observed and investigated periods of diminished oscillatory and population spiking activity lasting for seconds during non-rapid eye movement (non-REM) sleep, which we call "LOW" activity sleep. Methods: We analyzed spiking and local field potential (LFP) activity of hippocampal CA1 region alongside neocortical electroencephalogram (EEG) and electromyogram (EMG) in 19 sessions from four male Long-Evans rats (260-360 g) during natural wake/sleep across the 24-hr cycle as well as data from other brain regions obtained from http://crcns...
June 1, 2017: Sleep
https://www.readbyqxmd.com/read/28425191/thank-god-it-s-friday-sleep-improved
#15
Helena Petersen, Göran Kecklund, Paolo D'Onofrio, John Axelsson, Torbjörn Åkerstedt
The weekend is usually seen as a window of recovery. Thus, sleep before a day off may be less impaired than that before a workday. However, very few polysomnographical studies have investigated this hypothesis. Therefore, the aim of the present study was to compare sleep before a workday with that before a weekend. Seventeen teachers participated. Sleep was recorded with polysomnography on one weekday night during the workweek, and on a workday (Friday) followed by a day off. Sleep diaries and actigraphs were also used...
April 20, 2017: Journal of Sleep Research
https://www.readbyqxmd.com/read/28422976/reactivation-or-transformation-motor-memory-consolidation-associated-with-cerebral-activation-time-locked-to-sleep-spindles
#16
Stuart Fogel, Genevieve Albouy, Bradley R King, Ovidiu Lungu, Catherine Vien, Arnaud Bore, Basile Pinsard, Habib Benali, Julie Carrier, Julien Doyon
Motor memory consolidation is thought to depend on sleep-dependent reactivation of brain areas recruited during learning. However, up to this point, there has been no direct evidence to support this assertion in humans, and the physiological processes supporting such reactivation are unknown. Here, simultaneous electroencephalographic and functional magnetic resonance imaging (EEG-fMRI) recordings were conducted during post-learning sleep to directly investigate the spindle-related reactivation of a memory trace formed during motor sequence learning (MSL), and its relationship to overnight enhancement in performance (reflecting consolidation)...
2017: PloS One
https://www.readbyqxmd.com/read/28422648/fast-and-stable-signal-deconvolution-via-compressible-state-space-models
#17
Abbas Kazemipour, Ji Liu, Krystyna Solarana, Daniel Nagode, Patrick Kanold, Min Wu, Behtash Babadi
OBJECTIVE: Common biological measurements are in the form of noisy convolutions of signals of interest with possibly unknown and transient blurring kernels. Examples include EEG and calcium imaging data. Thus, signal deconvolution of these measurements is crucial in understanding the underlying biological processes. The objective of this paper is to develop fast and stable solutions for signal deconvolution from noisy, blurred and undersampled data, where the signals are in the form of discrete events distributed in time and space...
April 13, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28377708/increased-evoked-potentials-to-arousing-auditory-stimuli-during-sleep-implication-for-the-understanding-of-dream-recall
#18
Raphael Vallat, Tarek Lajnef, Jean-Baptiste Eichenlaub, Christian Berthomier, Karim Jerbi, Dominique Morlet, Perrine M Ruby
High dream recallers (HR) show a larger brain reactivity to auditory stimuli during wakefulness and sleep as compared to low dream recallers (LR) and also more intra-sleep wakefulness (ISW), but no other modification of the sleep macrostructure. To further understand the possible causal link between brain responses, ISW and dream recall, we investigated the sleep microstructure of HR and LR, and tested whether the amplitude of auditory evoked potentials (AEPs) was predictive of arousing reactions during sleep...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28370532/sleep-dependent-consolidation-of-face-recognition-and-its-relationship-to-rem-sleep-duration-rem-density-and-stage-2-sleep-spindles
#19
Elizaveta Solomonova, Philippe Stenstrom, Emilie Schon, Alexandra Duquette, Simon Dubé, Christian O'Reilly, Tore Nielsen
Face recognition is a highly specialized capability that has implicit and explicit memory components. Studies show that learning tasks with facial components are dependent on rapid eye movement and non-rapid eye movement sleep features, including rapid eye movement sleep density and fast sleep spindles. This study aimed to investigate the relationship between sleep-dependent consolidation of memory for faces and partial rapid eye movement sleep deprivation, rapid eye movement density, and fast and slow non-rapid eye movement sleep spindles...
March 31, 2017: Journal of Sleep Research
https://www.readbyqxmd.com/read/28365867/inactivation-of-the-tuberomammillary-nucleus-by-gabaa-receptor-agonist-promotes-slow-wave-sleep-in-freely-moving-rats-and-histamine-treated-rats
#20
Jun-Fan Xie, Kun Fan, Can Wang, Peng Xie, Min Hou, Le Xin, Guang-Fu Cui, Lin-Xin Wang, Yu-Feng Shao, Yi-Ping Hou
A prominent hypothesis, the "flip-flop switch" model, predicts that histaminergic (HAergic) neurons in the tuberomammillary nucleus (TMN), an important component of the ascending arousal system, are inactivated by GABA mainly from the ventrolateral preoptic nucleus to allow the appearance and maintenance of sleep. However, which sleep state and the band of EEG activity induced by GABAergic inactivation of the TMN are unclear. In this study, alterations of sleep-wake states and cortical EEG power spectral density were investigated following muscimol, a GABAA-receptor agonist, microinjected bilaterally into the TMN in freely moving rats and HA pretreated rats, respectively...
April 1, 2017: Neurochemical Research
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