Literature DB >> 28050606

Long-term exposure to space's microgravity alters the time structure of heart rate variability of astronauts.

Kuniaki Otsuka1, Germaine Cornelissen2, Satoshi Furukawa3, Yutaka Kubo4, Mitsutoshi Hayashi4, Koichi Shibata4, Koh Mizuno5, Tatsuya Aiba6, Hiroshi Ohshima3, Chiaki Mukai3.   

Abstract

BACKGROUND: Spaceflight alters human cardiovascular dynamics. The less negative slope of the fractal scaling of heart rate variability (HRV) of astronauts exposed long-term to microgravity reflects cardiovascular deconditioning. We here focus on specific frequency regions of HRV.
METHODS: Ten healthy astronauts (8 men, 49.1 ± 4.2 years) provided five 24-hour electrocardiographic (ECG) records: before launch, 20.8 ± 2.9 (ISS01), 72.5 ± 3.9 (ISS02) and 152.8 ± 16.1 (ISS03) days after launch, and after return to Earth. HRV endpoints, determined from normal-to-normal (NN) intervals in 180-min intervals progressively displaced by 5 min, were compared in space versus Earth. They were fitted with a model including 4 major anticipated components with periods of 24 (circadian), 12 (circasemidian), 8 (circaoctohoran), and 1.5 (Basic Rest-Activity Cycle; BRAC) hours.
FINDINGS: The 24-, 12-, and 8-hour components of HRV persisted during long-term spaceflight. The 90-min amplitude became about three times larger in space (ISS03) than on Earth, notably in a subgroup of 7 astronauts who presented with a different HRV profile before flight. The total spectral power (TF; p < 0.05) and that in the ultra-low frequency range (ULF, 0.0001-0.003 Hz; p < 0.01) increased from 154.9 ± 105.0 and 117.9 ± 57.5 msec2 (before flight) to 532.7 ± 301.3 and 442.4 ± 202.9 msec2 (ISS03), respectively. The power-law fractal scaling β was altered in space, changing from -1.087 ± 0.130 (before flight) to -0.977 ± 0.098 (ISS01), -0.910 ± 0.130 (ISS02), and -0.924 ± 0.095 (ISS03) (invariably p < 0.05).
INTERPRETATION: Most HRV changes observed in space relate to a frequency window centered around one cycle in about 90 min. Since the BRAC component is amplified in space for only specific HRV endpoints, it is likely to represent a physiologic response rather than an artifact from the International Space Station (ISS) orbit. If so, it may offer a way to help adaptation to microgravity during long-duration spaceflight.

Entities:  

Keywords:  Cardiology; Health Sciences; Medicine

Year:  2016        PMID: 28050606      PMCID: PMC5192238          DOI: 10.1016/j.heliyon.2016.e00211

Source DB:  PubMed          Journal:  Heliyon        ISSN: 2405-8440


Introduction

In space, microgravity affects the central circulation in humans and induces a number of adaptive changes within the cardiovascular system. Previous investigations showed that the baroreflex sensitivity fluctuates along with altered blood volume distribution [1, 2, 3], which affects neural mechanisms involved in dynamic cardiovascular coordination. Several reports indicate that heart rate is maintained at preflight values [4, 5, 6] and that parasympathetic activity is reduced [4] in space. Cardiac output and stroke volume are reportedly increased in space as a result of an increase in preload to the heart induced by upper body fluid shift from the lower body segments with no major difference in sympathetic nerve activity [6]. However, high sympathetic nervous activity, measured invasively by microneurography in peroneal nerves, has been simultaneously detected in space in three astronauts [7] compared to the ground-based supine posture. Physiologic acclimation to space flight is a complex process involving multiple systems [8]. How the neural cardiovascular coordination adapts to the space environment is still poorly understood in humans. When faced with a new environment, humans must first acclimate to it in order to survive. This includes the cardiovascular system. Adjustment to the new environment to improve quality of life follows, involving the autonomic, endocrine and immune systems, among others. But, as we reported previously [9], the “intrinsic” cardiovascular regulatory system, reflected by the fractal scaling of HRV [9, 10, 11], did not adapt to the new microgravity environment in space during long-duration (about 6-month) spaceflights. By contrast, after 6 months in space, the circadian rhythm of heart rate had adapted to the new microgravity environment in space [12], an important observation since disruption of circadian rhythms adversely affects human health [13, 14]. As humans plan for long-term space exploration, it is critical to ascertain that the regulatory system can function well in a microgravity environment. The power-law fractal scaling of heart rate variability (HRV) relates to the autonomic [15], endocrine [15], immune, inflammatiory [16, 17], mental, cognitive [18], and behavioral systems, which operate at multiple frequency ranges, from the 1 Hz cardiac cycle to circadian and even secular variations, as part of a broad time structure, the chronome [19]. Herein, we examine how the space environment affects HRV in specific frequency regions, broken down into 8 different frequency ranges. We focus on the basic rest-activity cycle (BRAC), well known since Kleitman [20], who showed regularly occurring alternations between non-REM and REM (Rapid Eye Movement) sleep. The BRAC is involved in the functioning of the central nervous system and manifests time-dependent changes in human performance, including oral activity cycles (e.g., eating, drinking, smoking).

Methods

Subjects

Ten healthy astronauts (8 men, 2 women) participated in this study. Their mean (± SD) age was 49.1 ± 4.2 years. Their mean stay in space was 171.8 ± 14.4 days. On the average, astronauts had already experienced spaceflight 0.9 ± 0.7 times and had passed class III physical examinations from the National Aeronautics and Space Administration (NASA). This study obtained consent from all subjects and gained approval from the ethics committee jointly established by the Johnson Space Center and Japan Aerospace Exploration Agency (JAXA). A detailed explanation of the study protocol was given to the subjects before they gave written, informed consent, according to the Declaration of Helsinki Principles.

Experimental protocols

Ambulatory around-the-clock 24-hour electrocardiographic (ECG) records were obtained by using a two-channel Holter recorder (FM-180; Fukuda Denshi). Measurements were made five times: once before flight (Control), three times during flight (International Space Station (ISS) 01, ISS02, and ISS03), and once after return to Earth (After flight). The before-flight measurement session (Control) was conducted on days 234.4 ± 138.4 (63 to 469) before launch in all but one astronaut who had technical problems with his before-flight record. In his case, a replacement control record was obtained 3.5 years after return to Earth. The three measurement sessions during flight were taken on days 20.8 ± 2.9 (18 to 28, ISS01), 72.5 ± 3.9 (67 to 78, ISS02) and 152.8 ± 16.1 (139 to 188, ISS03) after launch, the latter corresponding to 19.1 ± 4.1 days (11 to 27) before return (ISS03). The last measurement session was performed on days 77.2 ± 14.4 (37 to 127 days) after return to Earth (After flight).

Analysis of heart rate variability and measurement of 1/f fluctuations in HR dynamics

The measurement procedures and data collection were conducted as previously reported [9, 12]. Briefly, for HRV measurements, QRS waveforms were read from continuous electrocardiographic (ECG) records. The RR intervals between normal QRS waveforms were extracted as the normal-to-normal (NN) intervals. The measured NN intervals were A/D converted (125-Hz) with 8-ms time resolution. After the authors confirmed that all artifacts were actually removed and that the data excluded supraventricular or ventricular arrhythmia, frequency-domain measures [15] were obtained with the MemCalc/CHIRAM (Suwa Trust GMS, Tokyo, Japan) software [21]. Time series of NN intervals covering 5-min intervals were processed consecutively, and the spectral power in different frequency regions was computed, namely in the “high frequency (HF)” (0.15–0.40 Hz; spectral power centered around 3.6 sec), “low frequency (LF)” (0.04–0.15 Hz; spectral power centered around 10.5 sec), and “very low frequency (VLF)” (0.003–0.04 Hz; 25 sec to 5 min) regions of the Maximum Entropy Method (MEM) spectrum. VLF power was further broken down into “VLF band-1” (0.005–0.02 Hz; 50 sec to 3.3 min), “VLF band-2” (0.02–0.03 Hz; 33 to 50 sec) and “VLF band-3” (0.03–0.15 Hz; 6.7 to 33 sec). Time series of NN intervals were also processed consecutively in 180-min intervals, progressively displaced by 5 min, to estimate the “ultra-low frequency” (ULF) component (0.0001–0.003 Hz; periods of 2.8 hours to 5 min), further broken down into: “ULF band-1” (0.0001–0.0003 Hz; 166.7 to 55.5 min), “ULF band-2” (0.0003–0.001 Hz; 55.5 to 16.6 min), and “ULF band-3” (0.001–0.005 Hz; 16.6 to 3.3 min). Thus, 8 different frequency regions were examined: “HF”, “LF”, “VLF01”, “VLF02”, “VLF03”, “ULF01”, “ULF02”, and “ULF03”. Results representing each HRV component were averaged over the entire 24-hour. To evaluate the 1/fβ-type scaling in HRV, the log10[power] (ordinate) was plotted against log10[frequency] (abscissa) and a regression line fitted to estimate the slope β, as reported earlier [9]. Focus was placed on the frequency range of 0.0001–0.01 Hz (periods of 2.8 hours to 1.6 minutes), as previously reported [9].

Fit of 4-component cosine model

A multiple-component model consisting of cosine curves with anticipated periods of 24, 12, 8 and 1.5 hours was fitted to various HRV endpoints by cosinor [22] to assess their time structure and to determine how the latter may have been modified in space. The model includes the usually prominent circadian rhythm (24-hour period) and its first two harmonic terms with periods of 12 (circasemidian) and 8 (circaoctohoran) hours, as well as the BRAC (with a period of about 90-min). Using a (least squares) regression approach, the cosinor does not require the data to be equidistant, and can thus handle missing values in cases when artifacts prevented the computation of HRV endpoints in some of the 5-min or 180-min intervals. Analyses considered primarily the Midline Estimating Statistic Of Rhythm (MESOR, a rhythm-adjusted mean) and the amplitude of each of the 4 components, as a measure of the extent of predictable change within each cycle. The 4-component model was fitted to 24-hour records of NN intervals, total power (TF), and power in the ULF (separately also in the ULF01, ULF02, and ULF03), VLF, LF, and HF regions of the MEM spectrum.

Inter-individual differences in HRV response to microgravity

Consistent differences in various HRV endpoints were noted in the way astronauts responded to microgravity. Examination of the inter-individual differences prompted the classification of the 10 astronauts into 2 clearly distinct groups. Hence, the influence of the space environment was also assessed separately in each group.

Statistical analyses

Since we previously showed that the fractal scaling of HRV did remain altered in space as compared to Earth during long-term (∼ 6-month) spaceflights, this study specifically examines the behavior of HRV in 8 different frequency regions of the spectrum (ULF01, ULF02, ULF03, VLF01, VLF02, VLF03, LF, and HF), which can be considered to provide independent information. Adjustment for multiple testing thus uses a P-value of 0.05/8 to indicate statistical significance, using Bonferroni's inequality to adjust for multiple testing. The same correction is applied to other HRV endpoints shown for the sake of completeness, noting the high degree of correlation existing among different indices. We test whether HRV endpoints differ between space and Earth while showing no change among the 3 records obtained in space. In order to do so, estimates of HRV endpoints averaged over 24 hours were expressed as mean ± SD (standard deviation). To minimize inter-individual differences in HR and HRV among the 10 astronauts that may obscure an effect of the space environment, 24-hour mean values of each variable were expressed as a percentage of mean, computed across the 5 sessions (before flight, ISS01, ISS02, ISS03, and after return to Earth) contributed by each astronaut. In this way, astronauts serve as their own longitudinal control. The two-sided paired-t and one-way analysis of variance (ANOVA) for repeated measures were applied on these relative values for the space vs. Earth difference and for comparing the 3 records in space, respectively. Estimates of the MESOR and of the relative amplitude of each of the 4 anticipated components (with periods of 24, 12, 8, and 1.5 hours, expressed as a percentage of MESOR) of the selected HRV endpoints were considered as imputations for a comparison of HRV endpoints obtained during ISS03 versus before-flight. The statistical significance of change between the two sessions was determined using the 2-tailed paired t test. Inter-group differences were determined using the two-tailed Student t-test. P-values less than 0.05, adjusted for multiple testing according to Bonferroni's inequality, were considered to indicate statistical significance. The Stat Flex (Ver. 6) software (Artec Co., Ltd., Osaka, Japan) was used.

Results

Change in time structure of heart rate variability during long-duration spaceflight

Average HRV endpoints during each of the 5 sessions are shown in Table 1A. Results from a comparison of their relative values between space and Earth and across the 3 sessions on the ISS are summarized in Table 1B. On average, among the 10 astronauts, no differences were found in HR (or NN) or in SDNN, the standard deviation of NN intervals. As reported earlier, the fractal scaling of HRV (slope β) was statistically significantly less steep in space than on Earth, while no changes were observed across the 3 records obtained in space, Table 1A, Table 1B. This result may be accounted for by the large space-Earth difference observed in the ULF frequency region of the spectrum, which is statistically significant for ULF02 and ULF03, as well as for ULF01 once it is normalized by the total spectral power (TF). These HRV endpoints did not differ among the 3 sessions recorded on the ISS, Table 1A, Table 1B. Of all the HRV endpoints considered herein, apart from β and the spectral power in the 3 ULF bands, only SDmean5 and SDmean30 show a lasting difference in space as compared to Earth, Table 1A, Table 1B.
Table 1A

Change in characteristics of heart rate variability associated with 6-month mission in space: Numerical results.*

VariableUnitsTarget period (range)nControl (Before flight)
ISS01
ISS02
ISS03
After flight
MeanSDMeanSDMeanSDMeanSDMeanSD
Time- domain measuresHR(beats/min)24 hours1069.910.966.78.566.97.066.67.469.28.9
NN-interval(msec)24 hours10878.2146.7914.1126.4906.497.6911.9104.3880.5120.9
SDNN(msec)24 hours10132.545.2148.429.5140.152.6151.043.2144.743.5
SDANN (5 min)(msec)24 hours10115.843.6129.027.0121.446.0130.039.3125.143.2
SDANN (30 min)(msec)24 hours10109.344.2125.227.1117.944.7129.138.5116.844.6
TINN(msec)24 hours10571.5178.9638.0144.9523.5186.7552.7128.7612.3146.9
HRVI(–)24 hours1035.711.239.99.132.711.734.58.038.39.2
Triangular Index (TI)(–)24 hours1034.210.438.39.230.810.831.87.236.89.0
Lorenz Plot Length(msec)24 hours10627.9228.3690.7160.7659.0284.5745.0252.2707.1234.9
Lorenz Plot Width(msec)24 hours1054.916.550.915.651.513.761.715.958.915.8
Length/Width ratio(–)24 hours1011.52.514.54.213.04.912.54.212.54.8
SDNN index (30 min)(msec)30 min1072.319.166.616.763.915.168.017.676.617.4
SDNN index (5 min)(msec)5 min1056.514.853.113.250.911.355.113.458.813.4
CVNN(%)5 min1016.35.117.54.916.04.617.33.617.75.9
r-MSSD(msec)5 min1023.95.923.15.922.65.226.45.824.76.6
NN50(number)5 min104048.22841.33603.42514.53142.42605.14442.12610.04226.32616.1
pNN50(%)5 min104.3603.5364.0503.1433.4302.8195.8203.5945.0904.260
Frequency- domain measures|β|(log(msec2)/log(Hz))90 min (1.7–166 min)101.0870.1300.9770.0980.9100.1300.9240.0951.1350.147
TF-componentmsec290 min (2 sec–166 min)106417.13238.05932.12453.45297.52806.26530.93562.36897.62823.3
ULF-componentmsec290 min (5–166 min)103479.81636.43255.51295.12857.41982.53624.32362.43815.41605.2
ULF01msec290 min (55–166 min)101361.2775.71788.0747.41450.91146.72080.81399.71389.3640.7
ULF02msec236 min (17–55 min)101190.3561.6885.2433.2849.6561.5878.2520.41378.1548.7
ULF03msec210 min (3–17 min)101360.3596.7920.2522.1868.0488.21034.7764.31533.5860.7
VLF-componentmsec25 min (25 sec–5 min)102113.71361.61928.71034.71741.5827.42105.81211.22210.51127.5
VLF01msec22 min (50 sec-3.3 min)101177.2834.21114.4605.51002.5464.81245.3758.51209.6666.5
VLF02msec242 sec (33–50 sec)10291.9185.9275.2151.7250.3132.3287.6147.5297.8134.0
VLF03msec220 sec (6.7–33 sec)10911.3425.2836.9416.2773.5367.4864.6389.8960.4391.9
LF-componentmsec215 sec (6–25 sec)10698.8316.1635.8329.3595.8296.1661.1306.0742.9310.6
HF-componentmsec24.3 sec (2.5–6 sec)10116.555.1104.660.294.945.9127.663.7120.152.2
LF/HF ratio(–)106.4282.7116.3981.7606.3050.7445.6061.7616.5062.129
ULF/TF(–)90 min (5–166 min)100.5490.0790.5560.0710.5110.1230.5420.0910.5570.092
ULF01/TF(–)90 min (55–166 min)100.2070.0530.3140.0780.2510.0950.3100.0900.2020.070
ULF02/TF(–)36 min (17–55 min)100.1890.0370.1450.0250.1540.0510.1360.0300.2040.045
ULF03/TF(–)10 min (3–17 min)100.2190.0350.1510.0340.1640.0240.1510.0340.2190.047
VLF-/TF(–)5 min (25 sec–5 min)100.3160.0570.3190.0640.3470.0880.3230.0550.3120.065
VLF01/TF(–)2 min (50 sec-3.3 min)100.1730.0410.1860.0430.2000.0500.1890.0390.1690.042
VLF02/TF(–)42 sec (33–50 sec)100.0440.0100.0450.0130.0510.0210.0450.0110.0430.013
VLF03/TF(–)20 sec (6.7–33 sec)100.1470.0450.1390.0380.1590.0550.1430.0550.1430.047
LF-/TF(–)15 sec (6–25 sec)100.1140.0390.1060.0340.1220.0440.1100.0470.1110.040
HF-/TF(–)4.3 sec (2.5–6 sec)100.0190.0090.0180.0070.0200.0080.0230.0140.0180.008

*For definition of HRV endpoints, see [15].

Table 1B

Comparison of relative HRV endpoints in Space and on Earth.*

Means (10 astronauts)
Space vs. Earth
ISS01-03
HRV endpointBeforeISS01ISS02ISS03AfterEarthSpacepaired tPFP
Primary endpoints
ULF0183.36121.1981.97124.5288.9586.16109.231.933NS3.106NS
ULF02115.8585.2476.5485.12137.25126.5582.306.2650.0010.431NS
ULF03123.5680.6675.2384.86135.70129.6380.257.344< 0.0010.924NS
VLF0197.1699.9791.02107.01104.83101.0099.340.250NS2.135NS
VLF02100.6997.3490.57103.60107.80104.2497.171.354NS2.141NS
VLF03104.6794.5490.2099.38111.21107.9494.712.345NS1.327NS
LF105.4893.1590.0198.99112.37108.9294.052.160NS1.153NS
HF103.9990.1185.09112.54108.27106.1395.911.121NS4.582NS



Secondary endpoints
TF102.3297.4483.44103.19113.61107.9694.692.482NS3.778NS
ULF102.9599.9678.42103.52115.15109.0593.971.910NS2.621NS
VLF100.9696.9988.87103.20109.98105.4796.361.630NS2.321NS
ULF/TF101.16103.0793.3799.96102.44101.8098.800.906NS1.214NS
 ULF01/TF81.13124.2996.43119.8978.2579.69113.544.3760.0142.416NS
 ULF02/TF114.4988.3891.3982.87122.87118.6887.556.1990.0010.562NS
 ULF03/TF121.5483.7991.2783.26120.15120.8486.116.9450.0011.100NS
VLF/TF97.6099.31107.00100.0696.0396.81102.121.145NS0.555NS
 VLF01/TF93.69101.89109.48103.3591.5992.64104.912.137NS0.397NS
 VLF02/TF96.91100.07108.81100.4793.7495.32103.121.530NS0.621NS
 VLF03/TF101.9296.84107.6597.0996.5099.21100.530.175NS1.169NS
LF/TF102.9995.35107.2696.9797.42100.2199.860.038NS1.189NS
HF/TF101.0992.76102.21109.3794.5897.83101.450.436NS1.312NS
LF/HF100.55102.16103.2889.54104.47102.5198.330.484NS1.974NS
HR102.6898.2898.8298.22102.00102.3498.441.793NS0.043NS
NN97.40101.77101.19101.6498.0097.70101.531.788NS0.035NS
CVRR94.98103.4694.89102.43104.2399.61100.260.119NS0.613NS
SDNN91.44106.1496.17105.38100.8696.15102.571.139NS1.053NS
r-MSSD98.7495.3393.78110.11102.04100.3999.740.161NS4.545NS
NN105.87100.0997.1896.38100.48103.1797.881.544NS0.698NS
NN50104.5392.7879.83113.64110.59107.5694.281.093NS1.980NS
NN50+96.1392.9878.64126.63105.63100.8899.420.113NS2.541NS
NN50-95.2482.1575.63137.51109.47102.3698.430.257NS4.117NS
pNN5090.3787.9077.29135.50108.9499.65100.230.035NS3.388NS
pNN50+87.9993.9179.83130.65107.6197.80101.460.233NS2.578NS
pNN50−90.2186.1573.10140.81109.7499.97100.020.002NS4.296NS
SDANN592.10107.0895.96104.85100.0196.05102.631.046NS1.187NS
SDANN3090.01107.9396.77108.6596.6393.32104.451.537NS1.339NS
SDmean5102.5196.8193.19100.27107.22104.8796.764.0040.0253.693NS
SDmean30103.6395.8092.1297.68110.77107.2095.206.5510.0011.954NS
N94.9899.95106.92107.4390.7292.85104.772.359NS1.181NS
X98.29100.10100.5498.89102.18100.2499.840.184NS0.237NS
M96.69105.1198.51101.2398.4697.58101.612.598NS3.447NS
TINN97.65111.1288.8495.94106.45102.0598.630.898NS6.2270.048
HRVI97.64111.1488.8395.95106.44102.0498.640.891NS6.2410.047
TI98.60112.0688.2893.14107.92103.2697.831.374NS7.0980.027
Length90.65103.8494.15108.23103.1496.89102.070.823NS1.231NS
Width97.9091.2092.98111.42106.50102.2098.530.766NS4.756NS
Len/Wid91.94113.80101.0196.5296.7394.34103.781.606NS1.371NS



Trend (β)108.0397.2390.3391.80112.61110.3293.124.2980.0161.958NS

P-values adjusted for multiple testing, using Bonferroni's inequality, considering that 8 different tests were conducted (in 8 independent frequency regions).

Secondary endpoints also used the same correcting factor, considering the large correlation among different endpoints, shown here for sake of completeness only (rather than for testing per se).

For definition of HRV endpoints, see [15].

24-hour mean HRV endpoints expressed as a percentage of 5-session average for each astronaut, then averaged during each session across the 10 astronauts.

Differences in β and the spectral power in the 3 ULF bands may stem from changes occurring around a frequency of one cycle in about 90 min. Indeed, β is computed over a frequency range centered around one cycle in about 90 min (1.7–166 min). Its absolute value decreased from 1.087 ± 0.130 (control, before flight) to 0.924 ± 0.095 (ISS03) (p < 0.01). Correspondingly, ULF01/TF, also centered around 90 min, increased from 0.207 ± 0.053 to 0.310 ± 0.090, whereas ULF02/TF and ULF03/TF decreased from 0.189 ± 0.037 to 0.136 ± 0.030 and from 0.219 ± 0.035 to 0.151 ± 0.034, respectively.

Individual HRV response to microgravity associated with change in parasympathetic nerve activity

Individual 24-hour records of NN intervals (and hence instantaneous HR values) showed striking differences among the 10 astronauts. In 7 of them (Group 1), the 24-hour standard deviation (SD) of NN intervals was much lower (74.7–105.4 msec) than in the other 3 (Group 2) (171.7–196.0 msec) (Student t = 10.462, p < 0.001). The two groups also differed in their average NN intervals (820. 8 ± 44.6 vs. 1023.2 ± 54.2, Student t = 2.610, p = 0.031). The inter-group difference in SD (NN) persisted during ISS01 (t = 3.451, p = 0.009), ISS02 (t = 4.615, p = 0.002), and ISS03 (t = 3.430, p = 0.009), as well as after return to Earth (t = 3.287, p = 0.011), when a difference in average NN intervals was also observed (t = 2.610, p = 0.031). Moreover, astronauts in Group 1 tended to respond to the space environment by increasing their average NN interval (decreasing their HR). The inter-group difference in response was statistically significant during ISS02 (t = 2.814, p = 0.023) and ISS03 (t = 3.515, p = 0.008), when the average NN intervals of all 7 astronauts of Group 1 was increased (on average by 85.4 ± 59.0 msec, t = 3.825, p = 0.009) and that of all 3 astronauts of Group 2 was decreased (on average by 41.9 ± 23.6 msec, t = 3.072, p = 0.092). Table 2 lists individual results during each of the 5 recordings, illustrating strong inter-individual differences in the HRV response to the space environment.
Table 2

Individual HRV responses of astronauts.*

SubjectsVariablesunitsControl (Before flight)
ISS01
ISS02
ISS03
After flight
MeanSDMeanSDMeanSDMeanSDMeanSD
Group 1Case 1Heart Rate(b/min)74.810.681.516.175.57.371.612.273.516.9
r-MSSD(msec)23.18.222.65.723.35.327.07.128.99.3
pNN50(%)3.95.93.22.83.42.55.43.88.06.2
HF-componentmsec2127.5112.992.154.3100.449.7127.561.1193.1103.4
LF/HF ratio(–)6.03.46.63.07.12.77.33.74.92.5
Case 2Heart Rate(b/min)78.813.567.09.277.79.874.87.178.110.0
r-MSSD(msec)23.37.629.56.723.66.326.16.623.87.4
pNN50(%)4.54.88.45.24.43.86.05.94.84.7
HF-componentmsec2169.1114.7235.0106.9162.5101.9239.4170.0165.1123.1
LF/HF ratio(–)6.04.16.03.06.53.55.43.16.34.4
Case 3Heart Rate(b/min)89.911.972.214.470.98.078.512.582.37.5
r-MSSD(msec)22.93.920.36.618.24.532.913.719.24.7
pNN50(%)3.02.52.43.71.42.213.113.81.52.0
HF-componentmsec2105.348.086.049.371.334.3180.1153.098.064.0
LF/HF ratio(–)5.82.85.83.66.23.83.32.66.23.2
Case 4Heart Rate(b/min)77.310.070.315.064.96.266.414.666.96.1
r-MSSD(msec)16.84.917.83.919.73.720.24.423.06.2
pNN50(%)1.31.91.21.41.51.61.91.83.83.8
HF-componentmsec255.733.256.327.774.030.169.229.3102.766.9
LF/HF ratio(–)13.47.210.76.17.43.29.25.58.14.6
Case 5Heart Rate(b/min)61.65.159.96.756.59.057.26.762.110.6
r-MSSD(msec)15.92.911.92.215.13.715.23.613.13.8
pNN50(%)0.50.60.20.40.71.20.61.50.30.7
HF-componentmsec237.915.722.010.331.515.331.817.126.219.2
LF/HF ratio(–)4.62.77.54.67.54.66.64.77.44.8
Case 6Heart Rate(b/min)69.07.462.46.767.712.963.412.471.712.0
r-MSSD(msec)19.04.422.37.120.45.731.18.523.45.6
pNN50(%)1.81.83.54.12.32.610.26.84.03.6
HFmsec269.138.690.654.784.762.6144.588.9110.255.0
LF/HF ratio(–)10.86.48.75.48.95.25.73.312.27.3
Case 7Heart Rate(b/min)64.65.466.210.464.55.962.95.666.66.4
r-MSSD(msec)21.33.825.27.118.15.522.64.618.83.5
pNN50(%)2.21.85.75.41.52.13.23.11.41.3
HF-componentmsec279.132.985.642.350.425.278.230.662.625.5
LF/HF ratio(–)5.93.84.73.06.13.74.82.77.54.7
Group 2Case 8Heart Rate(b/min)65.813.565.511.269.415.867.714.464.57.2
r-MSSD(msec)28.89.721.04.828.14.725.26.336.86.0
pNN50(%)8.49.12.42.46.53.74.84.815.36.2
HF-componentmsec2160.9129.473.439.991.739.590.748.2163.165.9
LF/HF ratio(–)8.66.910.37.36.73.38.44.95.92.7
Case 9Heart Rate(b/min)67.816.571.819.065.210.566.413.076.623.0
r-MSSD(msec)33.612.527.68.432.98.032.710.627.710.3
pNN50(%)12.211.37.06.411.18.010.99.77.38.8
HF-componentmsec2200.7137.5147.780.0179.892.5201.3135.5123.190.0
LF/HF ratio(–)7.84.27.53.77.23.16.32.78.94.5
Case 10Heart Rate(b/min)51.68.549.87.057.117.954.413.553.17.4
r-MSSD(msec)35.38.832.96.526.56.331.67.731.76.6
pNN50(%)13.28.810.96.45.04.39.76.79.76.2
HF-componentmsec2161.778.7157.755.6102.442.6119.945.2139.860.2
LF/HF ratio(–)6.74.75.73.66.03.66.33.66.94.7

r-MSSD: square root of mean squared differences of successive NN intervals; pNN50: fraction of consecutive NN intervals that differ by more than 50 ms; HF-component: spectral power centered around 3.6 sec; LF/HF ratio: ratio of low-frequency (LF, centered around 10.5 sec) and high-frequency (HF) spectral power; all indices obtained from 5-min segments, averaged over the entire 24-hour span.

Astronauts were grouped in terms of their NN records (see text). Each record contains 254 to 286 values, except for case 8 after return to Earth (N = 70 or 71).

Power-law scaling β and ULF component of astronauts whose heart rate decreased in space

As seen for all 10 astronauts, the absolute value of β was also statistically significantly decreased in space (ISS03: 0.944 ± 0.097) as compared to preflight (1.144 ± 0.102) for the 7 astronauts of Group 1. Their ULF02 and ULF03 power was statistically significantly decreased from 915.0 ± 320.4 msec2 to 673.6 ± 275.3 msec2 and from 1017.4 ± 268.1 msec2 to 647.6 ± 192.5 msec2, respectively. In Group 2, there were no statistically significant differences in any of the HRV endpoints.

Change in chronome components (notably the basic rest-activity cycle) of heart rate variability during long-duration exposure to microgravity in space

Changes during the 6-month spaceflight in the relative amplitudes of the 24-, 12-, 8-, and 1.5-hour components, expressed as a percentage of the MESOR, are shown in Table 3 for NN intervals, β, TF, and the different frequency ranges of the spectrum. On the average, the 90-min amplitude of TF, ULF and ULF01 increased 2- to 3-fold in space in astronauts of Group 1, whereas it decreased in those of Group 2, Table 3. During ISS03 as compared to preflight, the BRAC amplitude of TF increased from 154.9 ± 105.0 to 532.7 ± 301.3 msec2, or from 3.2 to 11.3% of MESOR (n = 7), that of ULF increased from 117.9 ± 57.5 to 442.4 ± 202.9 msec2, or from 4.1 to 15.8% of MESOR (n = 7) and that of ULF01 increased from 124.3 ± 82.8 to 427.6 ± 214.8 msec2, or from 8.9 to 31.2% of MESOR (n = 7). In astronauts of Group 2, the 90-min amplitude of ULF01 decreased from 801.6 ± 155.6 before flight to 452.0 ± 239.9 during ISS02, or from 30.8 to less than 20% of the MESOR in space (n = 3), Table 3.
Table 3

Change in relative amplitude of 24-, 12-, 8-, and 1.5-hour components of some HRV endpoints during 6-month mission in space.*

Group 1 (N = 7)
Space vs. Earth
ISS03 vs. Before
HRV endpointBeforeISS01ISS02ISS03AfterEarthSpacepaired tPpaired tP
NN
 24h-A8.0712.529.8012.519.858.9611.611.940NS2.332NS
 12h-A5.145.956.266.706.705.926.300.399NS1.749NS
 8h-A3.744.423.034.313.663.703.920.219NS0.831NS
 1.5h-A0.941.160.991.611.421.181.250.294NS1.977NS
β
 24h-A18.3520.6720.8620.4819.6018.9820.670.275NS0.250NS
 12h-A13.3119.9720.6719.0612.4512.8819.901.195NS0.843NS
 8h-A13.6713.3512.3112.0712.2512.9612.580.380NS0.581NS
 1.5h-A2.071.681.761.991.331.701.810.326NS0.222NS
TF
 24h-A24.5956.3953.7962.6033.9929.2957.593.9780.0442.326NS
 12h-A23.9443.4344.1149.6828.0325.9845.742.531NS1.916NS
 8h-A18.9938.8939.8641.0019.7619.3839.925.1490.0132.8770.169
 1.5h-A3.178.147.7611.294.934.059.063.3670.0913.2400.106
ULF
 24h-A37.3397.9472.79104.1449.1643.2591.623.6860.0622.382NS
 12h-A33.6484.4966.3088.8237.7635.7079.873.4170.0852.644NS
 8h-A30.9163.2654.7160.1932.8131.8659.393.4840.0782.278NS
 1.5h-A4.0611.148.4715.805.714.8811.807.4850.0024.9230.016
ULF01
 24h-A42.91158.9095.59166.6743.6243.26140.394.4650.0262.601NS
 12h-A41.33144.9992.88145.3043.5842.46127.723.3020.0982.188NS
 8h-A39.90110.8074.42105.4540.7840.3496.893.0140.1412.145NS
 1.5h-A8.8722.7116.3031.3211.5510.2123.444.7060.0204.0520.040
ULF02
 24h-A44.9261.1270.7851.1671.4958.2061.020.549NS0.742NS
 12h-A44.7355.4958.2248.8449.8347.2854.180.778NS0.426NS
 8h-A34.0132.0547.9235.9751.0742.5438.650.655NS0.183NS
 1.5h-A4.444.714.796.134.764.605.210.917NS1.647NS
ULF03
 24h-A62.7036.6940.4149.5467.5765.1342.222.574NS0.772NS
 12h-A41.7232.6026.9728.9634.9738.3529.511.480NS1.653NS
 8h-A29.0219.5226.4833.4826.6627.8426.490.178NS0.529NS
 1.5h-A3.012.012.383.012.502.752.470.621NS0.008NS
ULF/TF
 24h-A17.8628.0520.2718.8614.3116.0922.391.938NS0.228NS
 12h-A16.5825.7320.2422.2415.1815.8822.741.659NS1.168NS
 8h-A16.1915.7415.6213.7611.1413.6715.040.514NS0.557NS
 1.5h-A3.974.834.875.283.753.864.991.753NS0.869NS
ULF01/TF
 24h-A45.3068.0431.2471.2588.9967.1456.840.507NS1.408NS
 12h-A32.1967.2041.9959.9427.7129.9556.382.437NS1.721NS
 8h-A34.9641.4430.3447.9229.2732.1139.900.950NS1.299NS
 1.5h-A10.2510.5211.0414.977.098.6712.182.771NS1.772NS
ULF02/TF
 24h-A35.4329.4933.9818.1430.4232.9327.201.266NS3.2910.100
 12h-A33.3430.8826.5228.1327.3130.3228.510.319NS0.646NS
 8h-A15.8815.9518.2027.2233.3024.5920.450.963NS1.769NS
 1.5h-A6.226.015.946.987.837.026.310.658NS0.424NS
ULF03/TF
 24h-A53.5324.1026.2641.4339.9546.7430.603.3760.0901.266NS
 12h-A26.8022.5613.0916.5118.0622.4317.391.215NS1.599NS
 8h-A16.0113.8214.1917.2323.0119.5115.081.052NS0.363NS
 1.5h-A5.334.075.236.624.514.925.310.491NS1.837NS
VLF
 24h-A29.8941.1338.2942.6334.6432.2740.680.859NS1.013NS
 12h-A20.7124.1120.8429.5921.5821.1524.850.964NS1.102NS
 8h-A17.5026.5125.0833.5610.6714.0828.382.857NS1.621NS
 1.5h-A9.6817.0614.1817.1411.3610.5216.131.717NS1.436NS
LF
 24h-A18.1215.0718.2124.3027.8122.9719.191.267NS0.760NS
 12h-A14.3018.9113.1417.6924.2819.2916.580.729NS0.639NS
 8h-A19.7914.1111.8217.0822.4821.1414.341.485NS0.524NS
 1.5h-A7.247.965.758.925.886.567.540.802NS0.952NS
HF
 24h-A26.3027.3126.5955.7636.3931.3536.560.482NS1.266NS
 12h-A18.1717.8920.9938.3230.6924.4325.730.152NS1.794NS
 8h-A16.3417.9516.9225.7218.2217.2820.200.635NS1.502NS
 1.5h-A6.796.776.8510.8712.549.678.160.647NS1.358NS
LF/HF
 24h-A24.6724.7614.4826.1823.6524.1621.810.564NS0.289NS
 12h-A11.9315.2310.8415.6312.3312.1313.900.596NS1.087NS
 8h-A10.4413.2013.9810.218.829.6312.461.959NS0.054NS
 1.5h-A9.0611.165.3111.3911.7610.419.291.775NS0.875NS

Amplitudes expressed as a percentage of MESOR, P-values adjusted for multiple testing, considering 6 different frequency regions (ULF01, ULF02, ULF03, VLF, LF, and HF). Based on results from Tables 1A, 1B and 2, significant results were anticipated to be found in the ULF rather than in other spectral regions. NN: normal-to-normal intervals; β: slope of fractal scaling; TF: total spectral power; ULF, VLF, LF and HF: spectral power in ultra-low, very low, low, and high frequency regions of the spectrum. Non-sinusoidal waveform may occasionally be associated with overfit (A > 100%).

Two examples of the fitted model to the TF data are shown in Fig. 1, comparing the record during ISS03 (right) with the preflight record (left). In one case (Fig. 1A), the 90-min amplitude increased from 59.5 to 684.5 msec2, with practically no change in the circadian amplitude. In another case (Fig. 1B), the 90-min amplitude also increased from 71.4 to 754.5 msec2, but it was accompanied by an increase in the 24-hour amplitude from 529.8 to 3196.4 msec2.
Fig. 1

Illustrative examples of the 4-component model fitted to the TF spectral power of two astronauts during a 6-month spaceflight. As compared to preflight (left), the 90-min component is amplified during session ISS03 in space (right). Whereas the circadian amplitude is mostly unchanged in one case (Fig. 1A), it is also amplified in another case (Fig. 1B). A fixed model is used, considering only anticipated periodicities. As such, the model is not optimal for any given record, even if on a group basis it conveys the behavior of components that are the most commonly detected in such records. Because it is a fixed model, the residual variance may exhibit lack of fit. Nevertheless, the amplitude of the about 90-min component is increased during ISS03 in astronauts of Group 1, when it resembles that of astronauts of Group 2.

Implications of heart rate response to space environment for adaptation to microgravity

To better understand the meaning of a difference in HRV response to the space environment, we compared the characteristics of the 4-component model fitted to some HRV endpoints before flight and during ISS03 between Groups 1 and 2. Before flight, the MESOR of TF, ULF and VLF spectral power was statistically significantly lower, on average, in astronauts of Group 1 as compared to those of Group 2, Table 4. These differences became smaller during ISS03, to the point of no longer reaching statistical significance, except for TF and VLF spectral power, Table 4. In other words, the two groups differed less in space (ISS03) than before flight.
Table 4

Characteristics of model of 4 anticipated components fitted to some HRV endpoints compared between astronauts whose HR did or did not decrease in space.*

Control (Before flight)
ISS03
Group 1 (Decreased HR in Space) (n = 7)
Group 2 (Increased HR in Space) (n = 3)
Student t-test
Group 1 (Decreased HR in Space) (n = 7)
Group 2 (Increased HR in Space) (n = 3)
Student t-test
meanSDmeanSDt-valuep-valuemeanSDmeanSDt-valuep-value
MESORNN-interval837.1102.11021.9143.6−2.35NS904.197.61002.0134.5−1.31NS
TF4674.11216.812924.02750.1−6.900.00055040.01631.210287.53043.6−3.660.0320
ULF2686.4798.77229.41661.5−6.090.00152893.61138.25478.22099.0−2.60NS
ULF01971.8443.02161.8632.8−3.470.04251744.51054.82889.31064.6−1.57NS
VLF1337.1337.04536.41425.1−6.020.00151431.4348.73687.2894.7−6.060.0015
LF572.7220.41067.8268.3−3.080.0760575.4291.2853.1302.4−1.37NS
HF92.445.4174.623.4−2.910.0985122.770.5137.356.9−0.31NS



24-hour AmplitudeTF1182.7493.56430.02363.0−6.050.00153120.42248.04525.03652.8−0.76NS
ULF1066.3570.55055.71652.0−6.010.00152947.51944.63891.73382.3−0.57NS
ULF01566.9444.92885.1974.0−5.410.00302322.21631.22698.92172.9−0.31NS
VLF407.2220.12514.01794.6−3.330.0520580.3385.92149.41842.9−2.32NS
LF116.784.9297.9209.0−2.05NS126.693.9377.4329.6−1.98NS
HF30.834.388.841.3−2.32NS61.563.765.058.0−0.08NS



12-hour AmplitudeTF1255.51006.96072.57806.4−1.75NS2558.41965.85357.61545.4−2.17NS
ULF1006.0784.85433.86761.2−1.86NS2601.21900.64454.72538.6−1.29NS
ULF01575.4512.83333.72524.9−2.990.08702054.61686.93336.22088.9−1.03NS
VLF287.0219.61662.6964.5−3.850.0246385.1184.91731.11259.6−3.000.0851
LF73.659.9214.6110.8−2.69NS86.356.3231.2209.1−1.82NS
HF20.225.253.721.8−1.99NS42.333.234.032.30.37NS



8-hour AmplitudeTF924.6503.45448.34121.8−3.110.07202105.51417.63907.83526.6−1.22NS
ULF898.5423.24904.83394.5−3.340.05101834.51428.14036.82549.7−1.80NS
ULF01545.8258.63025.51192.0−5.640.00251507.41222.92962.51889.2−1.49NS
VLF251.7164.4847.5445.7−3.270.0570455.0247.31133.0633.0−2.57NS
LF111.072.6229.6150.4−1.75NS87.429.8150.093.6−1.70NS
HF16.316.932.17.5−1.53NS28.923.818.417.80.67NS



90-min AmplitudeTF154.9105.01063.1549.0−4.550.0095532.7301.3872.3738.1−1.09NS
ULF117.957.5790.4292.0−6.320.0010442.4202.9303.284.71.12NS
ULF01124.382.8801.6155.6−9.280.0001427.6214.8303.074.20.95NS
VLF126.077.2629.5554.7−2.56NS236.3121.3544.1565.3−1.48NS
LF38.631.773.233.1−1.57NS48.328.686.463.8−1.36NS
HF6.03.719.49.1−3.390.047012.914.812.89.60.04NS

NN: Normal-to-normal inter-beat interval; TF: Total spectral power; ULF: Ultra low frequency spectral power (0.0001–0.003 Hz).

ULF01: ULF band-1 (0.0001–0.0003 Hz); VLF: very low frequency spectral power (0.005–0.02 Hz).

LF: low frequency spectral power (0.04–0.15 Hz); HF: high frequency spectral power (0.15–0.40 Hz).

P-values adjusted for multiple testing, using Bonferroni inequality (considering 5 tests per endpoint: MESOR, amplitude of each of 4 anticipated components).

MESOR: Midline Estimating Statistic Of Rhythm, a rhythm-adjusted mean.

Before flight, the BRAC amplitude was found to be much smaller in Group 1 as compared to Group 2, the difference being statistically significant for all considered HRV endpoints, except for LF, Table 4 (left). During ISS03, the 90-min amplitude increased in Group 1 and mostly decreased in Group 2 (except for LF), so that differences between the two groups were no longer statistically significant after spending several months in space, Table 4 (right). Similar results were observed for the 24-hour amplitude, and to a lesser extent for the 12-hour and 8-hour amplitudes of these HRV endpoints. These results suggest that the HRV of astronauts in Group 2, but not in Group 1, may have been sufficiently large to be exposed to the space environment.

Discussion

Spaceflight dramatically alters cardiovascular dynamics, as illustrated by changes in HRV [12] and a less negative slope β of the fractal scaling [9] confirmed herein. Kleitman's about 90-min BRAC [20] was found to be amplified about 3-fold in space, notably among astronauts of Group 1, in keeping with a corresponding increase in ULF01/TF (0.0001–0.0003 Hz, i.e., 55–166 min) and corresponding decreases in ULF02/TF and ULF03/TF. Major changes observed in space all relate to the same frequency range centered around one cycle in about 90 min, including β. Beyond the partly built-in circadian rhythms [23], there are many other oscillations of different frequencies, including the BRAC, observed in the sleep-wake (REM/NREM) cycle and also in heart rate variability. Some neuropeptides can have more prominent ultradian (with a frequency higher than one cycle per day; e.g., 8-hour periodicity) than circadian changes [24]. We previously showed that the circadian rhythm persisted in space in HR and β [9, 12]. Herein, we confirm the presence in space of 24-, 12-, and 8-hour components in several HRV endpoints by the fit of a model including 4 anticipated components. The question may be raised, however, whether different daily routines before and during flight (including higher or lower frequency of physical activities) as well as different sleep patterns in space may have contributed to the findings [25]. Whereas further work is needed to address this question, it should be noted that the space environment had a different effect on astronauts from the 2 groups. Amplitudes of all 4 anticipated components were markedly increased in astronauts of Group 1, whereas they were mostly decreased in astronauts of Group 2. It thus seems unlikely that the daily routine on the ISS fully accounts for the results observed in this study. Unlike short-term (<24 h) analysis of HRV [25, 26, 27], transient changes of body movement related to the daily routine were not associated with measurements of long HRV signals, including the ULF and VLF components and the slope β. Aoyagi et al. [10, 11] reported that during both usual daily-routine and constant-routine protocols in healthy men, HRV at frequencies between 0.0033 Hz and 10−3.5 Hz (25 sec to 57 min periods) was behavior-independent, possibly reflecting intrinsic mechanisms of the regulatory system. Amaral LAN et al. [28] also reported that the complexity of heartbeat dynamics showed behavioral-independent features during a constant-routine protocol. As reported previously [25, 26, 27], however, body movement was lower and the HF component of HRV was higher during sleep than during wakefulness. The less negative slope β in space versus Earth was also seen more prominently during the awake span [9]. Future studies are thus needed to examine how different daily routines before and during flight, including different sleep patterns in space, may contribute to our findings herein. The presence of the BRAC in HRV endpoints observed herein is supported by different studies in a number of physiological systems. Based on 24-hour polygraphic tracings, Othmer E et al. [29] inferred that the so-called sleep-dream cycle of human sleep is a general activity pattern of the brain. Bailey D et al. [30] found regular oscillations with periods of 1–2 hours in their subjects' oxygen consumption. Orr WC et al. [31] noted that their subjects' heart rate showed the same about 90-min periodicity in performance of a complex vigilance task. Hiatt JF and Kripke DF [32] reported on 90- to 120-min ultradian rhythms in gastric motility. Lavie P and Kripke DF [33] discerned a cycle of 80–133 min in urine flow of awake subjects. The rhythm in urine flow was, however, clearly out of phase with those of electrolyte concentrations and osmolarity. Lavie P and Scherson A [34] observed rhythmic variations in subjects' ability to fall asleep throughout the day. Conversely, an expected variation in vigilance was reported by Okawa M et al., [35]; the ultradian rhythms in vigilance had periods of 90–120 min. The BRAC may play an important and unique role in keeping the quality of life in space independently of or in conjunction with the circadian rhythm. It is involved in the functioning of the central nervous system which integrates many somatic, visceral, and neurobehavioral functions and manifests itself in the alternation of non-REM and REM sleep. Ultradians may be the basic signature of life [36]. Effects of space weather are enormous, which have acted as selective forces in humans on Earth and shaped human life as we know it today. Using 61 worldwide populations, Hancock AM et al. [37] elucidated the genetic basis for adaptation to the climate-mediated selection in a scan of the human genome. They identified genes that are key to the differentiation of brown adipocytes, and genes whose regulation makes a difference in response to ultraviolet radiation [37]. Among the circadian clock components, cryptochrome may have played a pivotal role in evolution because it coordinates light-induced effects and protects from hazards of ultraviolet radiation [38]. Brown adipocytes and their cryptochromes may not only be relevant to survival and adaptation, but they may also be targeted by natural selection [39]. Circadian clocks in brown adipocytes are relevant to mammalian adaptation and the cryptochromes in particular are of key importance because of their evolutionary roots of circadian clocks. Brown adipose tissue expressing BRAC may be an active pacemaker tissue, participating in the arrangement of ultradian [40] to infradian [41] oscillations. Circadian clocks may thus be built on properties generating metabolic oscillations in the ultradian range [38]. Brown adipose tissue may be a site of interaction between metabolic and circadian systems. A non-transcriptional pathway for the metabolic cycle engages the circadian clock, thereby enhancing clock performance [42]. As cryptochromes are key components of the core of the transcription-translation feedback loops on which circadian clocks are built, the question may thus be raised whether the amplification of the BRAC in space observed herein is a sign of early adaptation to microgravity.

Conclusion

Whether the increase in space of the BRAC amplitude is a sign that the intrinsic autonomic regulatory system may start to adapt requires further investigation, as β remains disturbed throughout the 6-month spaceflight. Whether some features of the HRV may indicate suitability for space travel also deserves further work as the BRAC amplification in space was only observed in some but not all astronauts. Most HRV changes observed in space relate to a frequency window centered around one cycle in about 90 min, although astronauts follow regular 24-hour rest-activity and feeding schedules on the ISS. Since the BRAC component is amplified in space for only specific HRV endpoints, it is likely to represent a physiologic response rather than an artifact from the ISS orbit. If so, it may offer a way to help adaptation to microgravity during long-duration spaceflight.

Declarations

Author contribution statement

Kuniaki Otsuka: Conceived and designed the experiments; Analyzed and interpreted the data; Wrote the paper. Germaine Cornelissen, Yutaka Kubo, Mitsutoshi Hayashi, Koichi Shibata, Koh Mizuno: Analyzed and interpreted the data; Wrote the paper. Satoshi Furukawa, Tatsuya Aiba, Hiroshi Ohshima, Chiaki Mukai: Conceived and designed the experiments; Performed the experiments; Wrote the paper.

Competing interest statement

The authors declare no conflict of interest.

Additional information

No additional information is available for this paper.

Funding statement

The JAXA Chronobiology Project was supported by the Japan Aerospace Exploration Agency (KO, YK, MH, NY, KS, TA, SF, HO, CM), Halberg Chronobiology Fund (GC).
  36 in total

1.  Sleep-wake differences in scaling behavior of the human heartbeat: analysis of terrestrial and long-term space flight data.

Authors:  A Bunde; L A Amaral; S Havlin; J Fritsch-Yelle; R M Baevsky; H E Stanley; A L Goldberger
Journal:  Europhys Lett       Date:  1999-12-01       Impact factor: 1.947

2.  The assessment of time-dependent changes in human performance.

Authors:  W C Orr; H J Hoffman; F W Hegge
Journal:  Chronobiologia       Date:  1976 Oct-Dec

3.  Autonomic cardiovascular and respiratory control during prolonged spaceflights aboard the International Space Station.

Authors:  Roman M Baevsky; Victor M Baranov; Irina I Funtova; André Diedrich; Andrey V Pashenko; Anja G Chernikova; Jürgen Drescher; Jens Jordan; Jens Tank
Journal:  J Appl Physiol (1985)       Date:  2007-04-19

4.  Ultradian rhythms in urine flow in waking humans.

Authors:  P Lavie; D F Kripke
Journal:  Nature       Date:  1977-09-08       Impact factor: 49.962

5.  Heating and eating: brown adipose tissue thermogenesis precedes food ingestion as part of the ultradian basic rest-activity cycle in rats.

Authors:  William Blessing; Mazher Mohammed; Youichirou Ootsuka
Journal:  Physiol Behav       Date:  2011-11-15

6.  Human muscle sympathetic nerve activity and plasma noradrenaline kinetics in space.

Authors:  Andrew C Ertl; André Diedrich; Italo Biaggioni; Benjamin D Levine; Rose Marie Robertson; James F Cox; Julie H Zuckerman; James A Pawelczyk; Chester A Ray; Jay C Buckey; Lynda D Lane; Richard Shiavi; F Andrew Gaffney; Fernando Costa; Carol Holt; C Gunnar Blomqvist; Dwain L Eckberg; Friedhelm J Baisch; David Robertson
Journal:  J Physiol       Date:  2002-01-01       Impact factor: 5.182

Review 7.  Circadian control of the immune system.

Authors:  Christoph Scheiermann; Yuya Kunisaki; Paul S Frenette
Journal:  Nat Rev Immunol       Date:  2013-02-08       Impact factor: 53.106

8.  Reduced heart rate variability is associated with worse cognitive performance in elderly Mexican Americans.

Authors:  Adina Zeki Al Hazzouri; Mary N Haan; Yingzi Deng; John Neuhaus; Kristine Yaffe
Journal:  Hypertension       Date:  2013-10-21       Impact factor: 10.190

9.  Association of heart rate variability and inflammatory response in patients with cardiovascular diseases: current strengths and limitations.

Authors:  Vasilios Papaioannou; Ioannis Pneumatikos; Nikos Maglaveras
Journal:  Front Physiol       Date:  2013-07-10       Impact factor: 4.566

10.  Adaptations to climate-mediated selective pressures in humans.

Authors:  Angela M Hancock; David B Witonsky; Gorka Alkorta-Aranburu; Cynthia M Beall; Amha Gebremedhin; Rem Sukernik; Gerd Utermann; Jonathan K Pritchard; Graham Coop; Anna Di Rienzo
Journal:  PLoS Genet       Date:  2011-04-21       Impact factor: 5.917

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  9 in total

Review 1.  Revealing the hidden reality of the mammalian 12-h ultradian rhythms.

Authors:  Heather Ballance; Bokai Zhu
Journal:  Cell Mol Life Sci       Date:  2021-01-15       Impact factor: 9.261

2.  Unconscious mind activates central cardiovascular network and promotes adaptation to microgravity possibly anti-aging during 1-year-long spaceflight.

Authors:  Kuniaki Otsuka; Germaine Cornelissen; Satoshi Furukawa; Koichi Shibata; Yutaka Kubo; Koh Mizuno; Tatsuya Aiba; Hiroshi Ohshima; Chiaki Mukai
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

Review 3.  Unveiling "Musica Universalis" of the Cell: A Brief History of Biological 12-Hour Rhythms.

Authors:  Bokai Zhu; Clifford C Dacso; Bert W O'Malley
Journal:  J Endocr Soc       Date:  2018-06-06

4.  Anti-aging effects of long-term space missions, estimated by heart rate variability.

Authors:  Kuniaki Otsuka; Germaine Cornelissen; Yutaka Kubo; Koichi Shibata; Koh Mizuno; Hiroshi Ohshima; Satoshi Furukawa; Chiaki Mukai
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

5.  Modelling physiology of haemodynamic adaptation in short-term microgravity exposure and orthostatic stress on Earth.

Authors:  Parvin Mohammadyari; Giacomo Gadda; Angelo Taibi
Journal:  Sci Rep       Date:  2021-02-25       Impact factor: 4.379

6.  Simulated Galactic Cosmic Rays Modify Mitochondrial Metabolism in Osteoclasts, Increase Osteoclastogenesis and Cause Trabecular Bone Loss in Mice.

Authors:  Ha-Neui Kim; Kimberly K Richardson; Kimberly J Krager; Wen Ling; Pilar Simmons; Antino R Allen; Nukhet Aykin-Burns
Journal:  Int J Mol Sci       Date:  2021-10-28       Impact factor: 5.923

7.  Astronauts well-being and possibly anti-aging improved during long-duration spaceflight.

Authors:  Kuniaki Otsuka; Germaine Cornelissen; Satoshi Furukawa; Yutaka Kubo; Koichi Shibata; Koh Mizuno; Hiroshi Ohshima; Chiaki Mukai
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.379

Review 8.  The Impact of Oxidative Stress on the Bone System in Response to the Space Special Environment.

Authors:  Ye Tian; Xiaoli Ma; Chaofei Yang; Peihong Su; Chong Yin; Ai-Rong Qian
Journal:  Int J Mol Sci       Date:  2017-10-12       Impact factor: 5.923

9.  Circadian challenge of astronauts' unconscious mind adapting to microgravity in space, estimated by heart rate variability.

Authors:  Kuniaki Otsuka; Germaine Cornelissen; Yutaka Kubo; Koichi Shibata; Mitsutoshi Hayashi; Koh Mizuno; Hiroshi Ohshima; Satoshi Furukawa; Chiaki Mukai
Journal:  Sci Rep       Date:  2018-07-10       Impact factor: 4.379

  9 in total

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