Sleep-Wake Differences in Heart Rate Variability During a 105-Day Simulated Mission to Mars

Vigo, Daniel Eduardo; Ogrinz, Barbara; Wan, Li; Bersenev, E. Yu.; Tuerlinckx, Francis; Bergh, Omer Van den; Aubert, André

doi:10.3357/asem.3120.2012

Cited by 29 publications

(31 citation statements)

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“…Similarly, in the context of the Mars500 pilot study (Mars105), we observed that a 105-d period of confi nement was associated with an increase in parasympathetic activity during wakefulness. No signifi cant differences were found in the length or phase of the sleep-wake periods ( 25 ).…”

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confidence: 99%

“…In this regard, the Mars500 project was conceived to gather data, knowledge, and experience about the psychological and physiological effects of living in an enclosed environment during 520 d as would be required for a real mission to Mars. This allows us to study the effect of long term confi nement without the infl uence of microgravity ( 25 ). Although autonomic nervous system (ANS) activity may play a key role in adaptation during space missions ( 2 ), little is known about the specifi c impact of confi nement on the circadian rhythm of ANS activity.…”

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confidence: 99%

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Circadian Rhythm of Autonomic Cardiovascular Control During Mars500 Simulated Mission to Mars

Vigo

Tuerlinckx²,

Ogrinz³

et al. 2013

Aviation, Space, and Environmental Medicine

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Circadian Rhythm of Autonomic Cardiovascular Control During Mars500 Simulated Mission to Mars

Vigo

Tuerlinckx²,

Ogrinz³

et al. 2013

Aviation, Space, and Environmental Medicine

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“…In [11], the authors present a brief retrospective of the study of HRV in the scope of sleep studies and show detailed data on the variation of the HRV across the different sleep stages. Recent studies focus on nocturnal HRV under confinement conditions [12], and in [13], an in depth review of the relationship between HRV and several sleep disorders is presented.…”

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Hypnogram and Sleep Parameter Computation From Activity and Cardiovascular Data

Domingues

Paiva

Sanches

2014

IEEE Trans. Biomed. Eng.

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The automatic computation of the hypnogram and sleep Parameters, from the data acquired with portable sensors, is a challenging problem with important clinical applications. In this paper, the hypnogram, the sleep efficiency (SE), rapid eye movement (REM), and nonREM (NREM) sleep percentages are automatically estimated from physiological (ECG and respiration) and behavioral (Actigraphy) nocturnal data. Two methods are described; the first deals with the problem of the hypnogram estimation and the second is specifically designed to compute the sleep parameters, outperforming the traditional estimation approach based on the hypnogram. Using an extended set of features the first method achieves an accuracy of 72.8%, 77.4%, and 80.3% in the detection of wakefulness, REM, and NREM states, respectively, and the second an estimation error of 4.3%, 9.8%, and 5.4% for the SE, REM, and NREM percentages, respectively.

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“…This is important for future study of alertness in TBI, pointing to the relationship betweentopdown control processes governing arousal and sustained attention decrement [37,38]. Interestingly, research that investigated whether sleep-wake variations in the autonomic control of the heart are specifically altered by long-term confinement during a 105-day simulated mission to Mars, observed that autonomic changes during confinement reflected an increase in parasympathetic activity during wake periods [39]. The results from this study may be applicable to our population since the increase in low frequency heart rate variability and high frequency heart rate variability, as seen during confinement, was related to decreased attention processing, an outcome evaluated through an attentional load test.…”

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“…These objective physiological measures can be used to characterize differences in performance efficiency and in ability to adapt to working environments after TBI. In turn, fatiguerelated performance decrements caused by sleep loss or sustained attention might be improved with training to regulate responses, including autonomic and central nervous system parameters [39]. Further, psychiatric disorders such as major depressive disorder, anxiety, and substance abuse thataffect sleep and consequently alertness should be further studied, since they can playprimary, contributing, or exacerbating roles.…”

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Study of Sleep Patterns Might Advance Our Knowledge on Alertness in Traumatic Brain Injury

Mollayeva¹

2014

J Sleep Disorders Ther

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Traumatic brain injury (TBI) is defined as "an alteration in brain function, or other evidence of brain pathology, caused by an external force" [1]. Although the precise incidence and prevalence of TBI is not known due to the lack of consistent epidemiological data [2], between 3.6 and 5.3 million individuals in the United Statesare living with TBIrelated consequences [3]; sleep-wake neurobehavioral impairments (i.e., diminished alertness and inability to sustain attention) are among the most commonly reported [4,5]. Thus far, significant advances in sleep and TBI researchhas uncovered an association between brain injury and the delineation of the arousal system, with a raised interest in the past few years to the pattern of sleep-wake organization.Loss of consciousness (LOC) in TBI occurs due to electrophysiological disruption of the ascending reticular activating system, a fundamental structure that maintains tonic arousals as a prelude to alertness [6]. Urakami simultaneously used electroencephalography (EEG) and magnetoencephalography in patients with chronic diffuse axonal injury (i.e. a pattern of brain damage characterized by lesion in the corpus callosum and dorsolateral brain stem accompanied by widespread damage in the white matter in patients with LOC) [7] and found that, in the acute stage post injury, both the frequency of fast spindles and cortical activation source strength were significantly lower in patients with TBI than in healthy controls; the alpha activity reflected the severity of disturbed consciousness [8]. In that study, the presence of sleep spindles was found to serve as an indicator of recovery in the chronic phase after injury [8]. Similarly, Cologan and colleagues proposed that the presence of EEG patterns resembling normal human sleep [9] (i.e. well-structured patterns of non rapid eye movement and/or rapid eye movement (REM) sleep)can be markers of a favorable outcome after brain injury [10]. Moreover, the quality and quantity of spindles can provide a new index of the severity of thalamocortical injury, in accordance with brain imaging studies showing the correlation between the extent of thalamus damage and behavioral disability and outcome in disorders of consciousness [10][11][12][13].Gosselin and colleagues observed increased delta and decreased alpha activity during wakefulness in patients with mild TBI and proposed sleep intrusions in the waking state might indicate continuous sleep inertia, manifesting as fatigue and impaired functioning [14]. The clinical significance of the utility of EEG in TBI is reflected in a recent study by Teel et al. [15].While concussed participants passed all clinical concussion testing tools, they showed path physiological dysfunction with evaluation of EEG variables,supporting the hypothesis of diminishedbrain resources to compensate appropriately during activity [15].The results of the study areparticularly relevant to clinicians who make return-toplay or return-to-work decisions (i.e. in sport, first respondents, and other occupations requi...

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Sleep-Wake Differences in Heart Rate Variability During a 105-Day Simulated Mission to Mars

Abstract: The observed autonomic changes during confinement reflect an increase in parasympathetic activity during wake periods. Several factors could account for this observation, including reduced daylight exposure related to the confinement situation.

Cited by 29 publications

References 23 publications

Circadian Rhythm of Autonomic Cardiovascular Control During Mars500 Simulated Mission to Mars

Circadian Rhythm of Autonomic Cardiovascular Control During Mars500 Simulated Mission to Mars

Hypnogram and Sleep Parameter Computation From Activity and Cardiovascular Data

Study of Sleep Patterns Might Advance Our Knowledge on Alertness in Traumatic Brain Injury

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