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Chronic, acute and protocol-dependent effects of exercise on psycho-physiological health during long-term isolation and confinement


Exercise could prevent physical and psychological deteriorations, especially during pandemic times of lock-down scenarios and social isolation. But to meet both, the common exercise protocols require optimization based on holistic investigations and with respect to underlying processes. This study aimed to explore individual chronic and acute effects of continuous and interval running exercise on physical and cognitive performance, mood, and affect and underlying neurophysiological factors during a terrestrial simulated space mission. Six volunteers (three females) were isolated for 120 days. Accompanying exercise training consisted of a continuous and interval running protocol in a cross-over design. Incremental stage tests on a treadmill were done frequently to test physical performance. Actigraphy was used to monitor physical activity level. Cognitive performance, mood (MoodMeter®), affect (PANAS), brain-derived neurotrophic factor (BDNF), insulin-like growth factor 1 (IGF-1), vascular-endothelial growth factor (VEGF), and saliva cortisol were investigated prior to, four times during, and after isolation, pre- and post-exercise on two separate days, respectively. As a chronic effect, physical performance increased (and IGF-1 tended) in the course of isolation and training until the end of isolation. Subjective mood and affect state, as well as cognitive performance, basal BDNF and VEGF levels, were well-preserved across the intervention. No acute effects of exercise were detected, besides slower reaction time after exercise in two out of nine cognitive tests, testing sensorimotor speed and memory of complex figures. Consistently higher basal IGF-1 concentrations and faster reaction time in the psychomotor vigilance test were found for the continuous compared to the interval running protocol. The results suggest that 120 days of isolation and confinement can be undergone without cognitive and mental deteriorations. Regular, individual aerobic running training supporting physical fitness is hypothesized to play an important role in this regard. Continuous running exercise seems to trigger higher IGF-1 levels and vigilance compared to interval running. Systematic and prolonged investigations and larger sample size are required to follow up on exercise-protocol specific differences in order to optimize the exercise intervention for long-term psycho-physiological health and well-being.

Peer Review reports


Living under isolated, confined, and extreme (ICE) conditions comes with a number of potential factors endangering physical as well as psychological performance and health. While living in isolation has gained high attention during the recent COVID-19 pandemic, it has concerned space research already for a long time. High-level cognitive performance is fundamental for astronauts during space missions and may have severe consequences when impaired attention, working memory or problem-solving ability occurs. A positive and stable psychological condition in terms of mood and affect is at least equally important when crewmembers need to live, work and function together for a long time under extreme conditions [1]. But factors, timing and potential interventions for mental health are equally important for people on Earth considering the rising numbers of mental health impairments.

Affect describes feeling states like emotions and moods and plays an important role in regulating cognition, behavior, and social interactions [2]. Positive emotions, self-perception and -regulation beneficially contribute and support coping of stressful experiences [3], and thus is suggested to support living in ICE. The link between mood, affect and cognitive performance highlights the need to respect and conserve all these to an equal extent during long-term missions. Space flight and long-term isolation missions repeatedly detected degradations in problem-solving [4], working memory [5], attention [6] as well as mood and affect [1] even though crewmembers have been psychologically screened during recruitment. But the reports are contradictory, and data considering changes in cognitive performance in conjunction with changes in mood and affect is still insufficient in order to uncover influencing factors for individual psychological outcomes and efficient interventions.

Exercise is a promising intervention for physical degradation but also both psychological domains (cognition and mood/affect) [7, 8]. Being aware of the holistic exercise benefit, space and space analogue missions are mostly designed with exercise as a mandatory intervention. Missions abstaining from exercise interventions are rare, and inactive control groups are widely missing. But some references emphasize the significance of regular physical exercise by differentiating between active or sedentary crewmembers during Antarctic overwintering [9] and ambulatory control groups that stopped their habitual exercise routine [10, 11]. This might explain why some previous space-related studies with exercise intervention did not find impairments. But it also leaves the assumption that exercise prescriptions are not (always) optimized and possibly not individualized enough so far, as impairments are still commonly reported.

Literature regarding the most beneficial exercise intervention for mood and affect state is contradictory. A meta-analysis conducted by Niven et al. [12] comparing both interval and continuous exercise of high and moderate intensity concludes that the majority of studies report better affect after moderate continuous exercise (mean difference − 0.72, 95% CI − 1.64 to 0.20, p = 0.12) and five to twenty minutes after exercise (MD − 0.22, 95% CI − 0.40 to − 0.04, p = 0.02). However, the authors report about a large degree of heterogeneity in the reviewed studies. Similarly, studies comparing continuous to interval exercise of different intensities in regard to their effect on cognitive performance are also mixed, but the majority demonstrates a difference between these exercise modes in facilitating inhibitory control [13,14,15]. In addition higher arousal was found following high-intensity interval compared to moderate continuous exercise [12]. Interval exercise has been discussed to accelerate oxygen uptake kinetics slightly more than continuous endurance training [16, 17], which chronically might support cognitive performance. However, it remains unclear whether the effect of exercise on mood, affect, and cognition is dependent on the intensity or on the modality (interval vs. continuous). Accordingly, more studies are required which aim to test different exercise protocols such as intensity-matched continuous versus interval running exercise.

Considering potential underlying factors and mechanisms, exercise was shown to trigger hormonal responses supporting brain plasticity and eventually brain function, cognition, and psychological health. In animal studies, the brain-derived neurotrophic factor (BDNF), insulin-like growth factor 1 (IGF-1), and vascular-endothelial growth factor (VEGF) have been identified as important markers of exercise-induced support for brain function and health, and the bridge between peripheral and central changes and towards human models has been built [18, 19]. Reductions of BDNF messenger ribonucleic acid in the brain with impaired memory consolidation were found during social isolation [20, 21], and BNDF was associated with psychological and psychiatric disorders, like depression [22]. Exercise is known to trigger BDNF release (for review: [23,24,25,26]). IGF-1 mediates neurogenesis and modulates brain activity, including cognitive functions [27]. Exercise was also found to elevate serum IGF-1 levels [27], and there is a large body of evidence for its correlation with fitness (for review: [28]). VEGF has been shown to play a role in exercise-induced adult hippocampal neurogenesis and cognitive improvements (for review: [29]). Despite controversial findings in the literature, human studies and reviews provide consistent evidence that aerobic exercise enhances these neurotrophic and growth factors [29,30,31,32,33,34]. In previous investigations, decreasing BDNF and increasing IGF-1 level was found during isolation with regular exercise, whereas non-isolated and non-exercising control participants during 60 days of bedrest with or without artificial gravity exposure did not show any changes [10, 11, 35]. Therefore, neurotrophic factors are suggested play a role for isolation- and exercise-dependent changes.

Another potential underlying factor with consequences on brain health, function, and morphology is a disrupted hormonal stress regulation, indicated by changed cortisol levels or profiles, which have been detected in ICE missions [36, 37]. Cortisol can cross the blood–brain barrier and bind to receptors within the hippocampus, amygdala, and frontal lobe and high levels of free cortisol was found to negatively influence cognitive performance, e. g. learning and memory [38, 39]. Stress was shown to alter brain structure and function and hippocampal release of BDNF as well as VEGF [40, 41], and regular exercise is suggested to positively influence cortisol regulation [42, 43]. Some shorter duration isolation studies with accompanying exercise could show elevated cortisol concentrations without related cognitive or mood impairments [10, 11, 44]. But higher chronic cortisol levels were also found for high-density (five days per week) compared to less dense exercise protocols in isolation (three to four times per week) compared to non-isolated and non-exercising control groups [10, 11], which warrants further investigation.

Consequently, exercise, in particular an aerobic exercise protocol, seems to be a potent comprehensive intervention to meet the challenging effects of ICE environments on psycho-physiological performance and health, but different exercise protocols need to be investigated for optimization and individualization. This project aimed to clarify the chronic and acute effects of intensity-matched continuous and interval running exercise on physical and cognitive performance, mood, and affect. It intends to explore underlying neurophysiological factors and to provide additional (widely-missing) gender-specific data during long-duration missions under ICE conditions.

Materials and methods


The study was implemented in the Scientific International Research in Unique Terrestrial Station 2019 (SIRIUS-19) isolation mission. The mission was conducted from March to July 2019 in the Nezemnyy Eksperimental'nyy Kompleks (NEK) multicompartment facility of the Institute of Biomedical Problems, Russian Academy of Sciences (IBMP RAS) in Moscow under joint operation with the National Aeronautics and Space Administration Human Research Program (NASA HRP). Detailed information about the SIRIUS-19 mission scenario can be found at: The German Space Agency participated amongst other partner countries according to the general conception developed by IBMP and NASA HRP.

A six-headed crew of three Russian women (mean age 29.7 ± 2.1 years), one Russian and two American men (mean age 33.7 ± 6.4 years) were isolated for 122 days under space-analogue conditions simulating a mission to the Moon and extravehicular activities on a lunar surface simulator. Mission scenario was laid out to mimic a real space-mission as far as possible by embedding similar daily schedules, food, workload and tasks, timeline of communication, stressors, isolation and confinement conditions (closed module, limited access to media), and physical exercise training.

The physical exercise training protocol was designed by IBMP RAS in a joint agreement with the German Sport University. A physical performance test was conducted prior to isolation with stepwise increasing load on a treadmill until exhaustion to determine the metabolic costs, maximal heart rate, maximal oxygen uptake and maximal velocity. Training during isolation prescribed running exercise on a treadmill following either an interval (INT) or a continuous (CON) training protocol in a cross-over design with a “wash-out period of fifteen days in-between (for details, see Fig. 1 and additional file 1). Running exercise was executed on three consecutive days followed by one day of rest. This four-day micro cycle was repeated four times. After a break of 12 to 15 days the same four times four-day cycle was repeated (total of 24 training days per protocol). CON was performed at a consistent speed at 50% of individual maximum heart rate, and INT protocol alternated between running and walking intervals between 30 to 80% of maximal heart rate (average speed day 1 of the micro cycle: 47% of individual maximum heart rate, day 2: 43%, day 3: 44%). Both protocols were executed on average at 7.5 km/h ± 0.55 km/h treadmill velocity and for a duration of 30 to 40 min (see appendices). Exercise intensity was regulated via treadmill speed and heart rate monitors (Polar M400, Polar Electro GmbH, Büttelborn, Germany).

Fig. 1
figure 1

Schematic of test design and timeline of physical training. Exercise as subject of the current study is indicated in red (interval exercise, INT) and blue (continuous exercise, CON) or violet (physical performance tests). Other physical exercise tests are indicated in grey or stripped. Black arrows indicate the assessment days (BDC: baseline data collection, ISO1-4: four quarter during isolation, R: recovery period after isolation) either pre- or post-exercise. White areas indicate phases of “pure” isolation without physical tests or training. The green area is showing the period when landing on the Lunar surface and on-surface operations took place

Data acquisition

Data of the present investigation was collected at the following timepoints: during baseline data collection (BDC) between days − 14 and − 7 prior to isolation, at the beginning and end of the INT or CON exercise protocol, on mission day (MD) 14 to 16 (hereafter referred to as ISO1), on MD53/54 (ISO2), MD79/80 (ISO3) and MD110/112 (ISO4) during isolation, as well as during the recovery phase (R) after isolation between day R + 6 to R + 9. The data collection was conducted before exercise or on a day without exercise (pre-exercise) and on a separate day immediately after exercise (post-exercise) at each timepoint in alternating order. All crewmembers were instructed, familiarized, and trained by the investigators prior to BDC. Assessments during BDC and R were conducted autonomously but under supervision. During isolation, crewmembers were carrying out the assessments autonomously in pairs.

Physical activity data

Performance tests

Physical performance tests on treadmill were performed on BDC-15 (± 12), on MD9 (± 1) hereafter referred to as ISO1, MD57 (± 1, ISO2/3), MD117 (± 1, ISO4) as well as on R + 6. Additional tests have been performed on MD29 and 87, which are not subject of this manuscript. The test commenced with a moderate part running at 3 km/h for 5 min. It continued with a 10 min period of intervals changing between 3 and 6 km/h velocity and then stages of five minutes each at 3, 6 and 9 km/h. It ended with an incremental part (ramp), which started with 3 km/h for 60 s, where the speed was increased every 30 s by 1 km/h, until the participant was not able to follow the speed of the treadmill belt. Only the five min stages at 3, 6 and 9 km/h are subject of the present study.

Heart rate, lactate, VO2peak, and RERpeak

Heart rate and lactate concentration are two important parameters used during physical performance tests and are known to decrease with increasing levels of physical fitness at the same work rate. Heart rate was continuously recorded, but only the last 30 s were averaged to calculate a representative heart rate for each stage. 20 μl capillary blood from the fingertip was collected during the last 30 s of the 3, 6 and 9 km/h stages for blood lactate analysis (Biosen C_Line—EKF-diagnostic, Barleben, Germany). As part of another project, peak oxygen uptake (VO2peak) and peak respiratory exchange ratio (RERpeak) resulting from these physical performance tests are included here to support the physical performance outcome. Parts of this data and additional variables have been published by Koschate et al. [17]. Respiratory data was collected using a spiro-ergometry system (Metalyzer 3B, Cortex Medical Systems, Leipzig, Germany). For VO2peak and RERpeak, data during the last 30 s before the termination of the physical performance test (end of ramp) were averaged.


ActiGraph GT3X + accelerometers (ActiGraph, Pensacola, Florida) were used to monitor daily physical activity. Participants wore the device on the non-dominant wrist continuously throughout the intervention. Three-dimensional accelerations were recorded in 10 s epochs. Raw data was exported using ActiLife (version 6; ActiGraph, Pensacola, Florida), and acceleration signals were post-processed using the normal filter of the ActiLife software. Step counts, based on accelerometer data collected on the vertical axis, were analyzed for each day. days were excluded from further analysis if more than one hour of data was missing per day. Two participants were excluded from the actigraphy analysis due to largely missing data in isolation.Footnote 1 Valid data of mean steps per day from the remaining four subjects were averaged for BDC (13 ± 5 days), for the time in isolation (first half (ISO1-2): 19 ± 4 days; second half (ISO3-4): 41 ± 6 days, and for the recovery phase (R): 5 ± 3 days).

Growth factors (BDNF, IGF-1, VEGF)

The medical doctor of the crew carried out venipuncture on the basilic vein for pre-exercise assessments in the morning (mean time 07:58 ± 0:14 am) after at least eight hours of fasting and for post-exercise assessment about 5 min after termination of exercise (mean time 02:34 ± 2:42 pm) respectively. After 30 min in an upright position, samples were centrifuged at 2.500g for ten minutes. Serum aliquots were stored at − 80 °C until the end of the mission and shipped from Moscow to Germany under temperature-controlled conditions below − 20 °C. Serum levels of IGF-1, VEGF, and BDNF were measured using commercial enzyme-linked immunosorbent assays (ELISAs) kits (R&D Systems, Inc., Minneapolis) according to the manufacture's protocols (lower limit of quantification & intra-assay coefficient for BDNF: > 0.001 ng/ml & 2.87 ng/ml; IGF-1 = 0.010 ng/ml & 4.3 ng/ml; VEGF < 5.0 pg/ml & 5.43 pg/ml). Resulting BDNF and IGF-1 concentrations are indicated in ng/ml, and VEGF in pg/ml.

Saliva cortisol

Salivary cortisol was shown to reliably reflect (total) plasma and free circulating cortisol concentrations (Levine, Zagoory-Sharon, Feldman, Lewis, & Weller, 2007). On data acquisition timepoints, saliva sampling was performed eight times in two-hour intervals throughout the day starting from 8 am to 10 pm using Salivette® (Sarstedt, Nümbrecht, Germany). Samples were stored at − 20 °C and shipped together with the serum samples to Germany. Samples were defrosted and centrifuged for two minutes at 1.000 g. Analyses of saliva cortisol concentrations were performed using the DRG Salivary Cortisol ELISA kit (DRG Instruments GmbH, Marburg, Germany) following the provided instruction of the manufacturer (lower limit of quantification & intra-assay coefficient: 0.09 ng/ml & 3.9 ng/ml). Resulting concentrations are provided in ng/ml. In addition to the mean cortisol concentrations averaged over all participants per sample time (daytime) per assessment day, the area under the curve of the day profiles has been calculated as sum of rectangles.


The MoodMeter® [45] was developed to detect short-term changes of the perceived physical state (PEPS), psychological strain (PSYCHO), and motivational state (MOT). It includes a short version of the "Eigenzustandsskala" [46]. It was presented as a paper–pencil version in participants' native languages containing 32-adjectives in mixed order, which had to be completed on a six-point Likert scale (0 = not at all, 5 = totally, the higher the score, the better the perceived state) based on their current feeling. This questionnaire has been used in various space-analogue studies, and details about the scoring have previously been published [9].

Positive and negative affect state (PANAS)

The self-report Positive and Negative Affect Scale (PANAS) [47] was implemented as part of NASA HRP Standard Measures in native language [48]. Twenty adjectives in relation to positive and negative affect were listed in alternating order and had to be rated on a 5-point Likert scale (1 = very slightly/not at all, 5 = extremely) based on individuals feeling and emotions during the past week. The ten statements to positive items were summed to the General Positive Affect Sum; for negative items, likewise to the General Negative Affect Sum. Accordingly, the higher the total sum between 10 and 50 is, the stronger is the respective perceived state of affect. Both sums have been identified in both intra- and inter-individual analyses and emerge in a consistent way across sets, time frames, response formats, language, and culture. The PANAS was completed on BDC-2, MD12, 53, 82, 110 and R + 11.

Cognition test battery

Cognition data were collected and provided by the NASA Behavioral Health & Performance Laboratory, Johnson Space Center, as part of Generalizability of Operational Feasibility and Acceptability of HFBP Exploration Measures in NEK project, supported by NASA's HRP. A detailed description of the cognitive test battery has been published [49, 50]. The following tests were performed in the order listed below and included: The Motor Praxis Task (MPT) measuring sensorimotor speed, the Visual Object Learning Task (VOLT) measuring memory for complex figures, the n-Back (NBACK) test measuring the working memory system, the Abstract Matching (AM) test measuring abstraction and flexibility components of executive function, the Line Orientation Test (LOT) measuring spatial orientation, the Emotion Recognition Task (ERT) measuring facial emotion recognition, the Matrix Reasoning Test (MRT) measuring abstract reasoning, the Digit-Symbol Substitution Task (DSST) measuring complex scanning, visual tracking and working memory, and the Psychomotor Vigilance Test (PVT) measuring sustained attention and reaction time. Participants were familiarized with the tests during BDC and repeated the battery in total three times during BDC, twenty-nine times during isolation and six times during R. However, only the data matched to the assessment days of the present study are used in this manuscript. Similar to Basner et al. [49], reaction time (in ms) was used as outcome variable for MPT, VOLT, NBACK, LOT, ERT, DSST, and PVT. Accuracy was calculated by dividing the number of correct responses by the number of stimuli for each task respectively, but MPT and PVT. For PVT number of lapses was used instead of accuracy.


Due to the small number of participants, non-parametric tests have been performed for statistical analysis. Only two physical training sessions of one subject due to illness were missed. Friedman ANOVA was used to calculate the chronic effects of TIME/isolation between BDC, ISO1, ISO2, ISO3, ISO4 and R. For physical performance test parameters (VO2peak, RERpeak, lactate, heart rate), TIME effects were calculated between BDC, ISO1, ISO2/3, ISO4 and R. For physical activity (mean steps per day) BDC was compared to the first (ISO1-2) and second half (ISO3-4) of isolation and R. For the calculation of TIME effects, only pre-exercise data were used in order to exclude acute exercise effects and for standardized blood draw times and conditions. For Bonferroni correction of multiple comparisons, alpha-value was divided by the number of comparisons (= 15) and significance threshold set at p = 0.003, for lactate and heart rate (= 10) p = 0.005. In case of a significant TIME effect, Wilcoxon Test for paired samples was used. Wilcoxon Test was also used to determine differences between dependent variables: Exercise training protocol INT and CON (PROTOCOL effect), for which the latest data conducted during the INT training period (INT2) has been compared to the latest data during the CON training period (CON2). In order to test for carry-over effects between training protocols, the differences between states at the start of training protocols (INT1 versus CON1) were calculated by Wilcoxon test. Acute effects of exercise comparing all pre-exercise data with all post-exercise data (acuteEXERCISE effect) were calculated by Wilcoxon Test. For cortisol only, last samples of the day profile collected before and the first after exercise were used for the acuteEXERCISE effect. For Wilcoxon Tests, the level of significance was p = 0.05. Due to the small sample size, a gender-specific analysis was not possible, but data is presented descriptively per individual and sex in order to provide additional and gender-related information.



Mean steps per day tended to decrease in the course of the mission with high variance during R. The TIME effect did not reach the level of significance (see Table 1 , Fig. 2) but approaches it if R was excluded (p = 0.049). PROTOCOL effects were not calculated due to reduced data sets.

Table 1 Results of Friedman ANOVA testing the main effect of TIME, of Wilcoxon Test for main effects of PROTOCOL and acuteEXERCISE in columns, different variables are listed in rows
Table 2 Post hoc pairwise comparisons using Wilcoxon Test for heart rate, lactate, reaction time for ERT and DSST tasks of the Cognition test battery, as well as for respiratory exchange ratio (RERpeak)
Fig. 2
figure 2

Results of actigraphy: Mean steps per day for four individuals (blue male, red females) and mean (black) for periods during baseline data collection (BDC), during the first two (ISO1-2) and last two (ISO3-4) quarters of isolation and during the recovery phase (R). Error bars indicate standard deviation

Physical performance

VO2peak did not reveal an effect of TIME, PROTOCOL or acuteEXERCISE. A carry-over effect was found between INT1 and CON1 (see Table 1, Fig. 3a).

Fig. 3:
figure 3

a Results of physical performance test regarding peak oxygen uptake (VO2peak), b peak respiratory exchange ratio (RERpeak), c heart rate @ 9 km/h and 3d) lactate @ 9 km/h. Chronic effects over TIME are displayed on the left, exercise PROTOCOL effects on the right, respectively. Means are indicated in black line or bar graphs, female individuals are shown in red shades, male individuals in blue shades. TIME effects are presented for assessments during baseline data collection (BDC), at the beginning of isolation (ISO1), at midterm (ISO2/3), at the end (ISO4) and during the recovery phase (R). For exercise PROTOCOL effects comparing interval (INT, stripped bars) and continuous (CON, full bars) protocols, the mean at the beginning (INT1, CON1) and end (INT2, CON2) of each protocol is displayed. Error bars indicate standard deviation. Significant differences to BDC are indicated by *, to ISO1 by $, and to R by

RERpeak did show a main effect of TIME, and was higher at ISO2/3, ISO4 and R compared to BDC and ISO1 (see Tables 1 , 2, Fig. 3b. RERpeak did not differ between exercise protocols, but a carry-over effect was found.

Lactate concentration during physical performance stage tests at 3 and 9 km/h running speed did steadily decrease in the course of isolation as a main effect of TIME, but missing the Bonferroni corrected level of significance (see Table 1, Fig. 3d). Carry-over effects between exercise protocol periods from INT1 to CON1 were found for 3 and 9 km/h running speeds. No difference between exercise PROTOCOLs was found for lactate concentrations.

Heart rate during physical performance tests at 0, 3, 6, and 9 km/h revealed a main effect of TIME. Heart rate significantly decreased during isolation and increased almost back to baseline during R (see Tables 1, 2, Fig. 3c). No carry-over effects for heart rate were detected, and no PROTOCOL specific difference was found.

Growth factors

BDNF did not show main effects of TIME, PROTOCOL or acuteEXERCISE (see Table 1, Fig. 4a).

Fig. 4
figure 4

Results of growth factors BDNF (a), IGF-1 (b), and VEGF (c). Chronic effects over TIME are displayed on the left, exercise PROTOCOL effects in the middle, and acuteEXERCISE effect on the right. Means are indicated in black line or bar graphs, female individuals are shown in red shades, male individuals in blue shades. TIME effects are presented for assessments during baseline data collection (BDC), during isolation (ISO1-4), and during the recovery phase (R). For exercise PROTOCOL effects comparing interval (INT, stripped bars) and continuous (CON, full bars) protocols, the mean at the beginning (INT1, CON1) and end (INT2, CON2) of each protocol is displayed. AcuteEXERCISE effects from pre- (light grey) to post-exercise (dark grey) are shown. Error bars indicate standard deviation. Significant differences are indicated by *

IGF-1 concentration progressively increased over TIME, but marginally missed the Bonferroni corrected level of significance (p = 0.015; see Table 1 and Fig. 4b). There was no difference between the start of both training periods (no carry-over effect), but a significant and uniform difference between training PROTOCOLs with higher IGF-1 concentrations for CON compared to INT were detected. Comparisons of pre- and post-exercise measures indicated higher IGF-1 levels post-exercise but missing the level of significance (p = 0.052). VEGF did not show any effects for TIME, PROTOCOL, and acuteEXERCISE (see Table 1 and Fig. 4c). Post-exercise levels tended to be higher than pre-exercise levels (p = 0.076).

Saliva cortisol

Day profile of saliva cortisol levels revealed elevated levels in the morning and afternoon during isolation compared to BDC and partly R, but no significant main effect of TIME was detected for the area under the curve as well as all time points of the day profile separately (see Table 1, Fig. 5a, b). No difference between exercise PROTOCOLs (Fig. 5c) or between pre- and post-exercise (acuteEXERCISE) samples was found for cortisol (Fig. 5d).

Fig. 5
figure 5

a Mean cortisol profile analyzed from saliva samples in two-hour intervals from 8:00 AM to 10:00 PM for the assessments over time during BDC (black dotted line), ISO1-4 (grey continuous lines), and R (black dashed line). b Mean area under the curve (AUC) of the cortisol profiles over time (BDC, ISO1-4, R). c For exercise PROTOCOL effects comparing interval (INT, stripped bars) and continuous (CON, full bars) protocols, the mean at the beginning (INT1, CON1) and end (INT2, CON2) of each protocol is displayed. d AcuteEXERCISE effects from pre- (light grey) to post-exercise (dark grey) are shown. Means in (bd) are indicated in black line or bar graphs, female individuals are shown in red shades, male individuals in blue shades. Error bars indicate standard deviation


The MoodMeter® questionnaire revealed no significant effects of TIME, PROTOCOL or acuteEXERCISE for any of the three dimensions PEPS, PSYCHO, and MOT, but the mood was generally observed to increase from BDC to in isolation (see Table 1 and Fig. 6a–c).

Fig. 6
figure 6

a Results of MoodMeter®: Physical state (PEPS), b psychological strain (PSYCHO), and c motivational state (MOT). Chronic effects over TIME are displayed in the left column, exercise PROTOCOL effects in the middle column, and acuteEXERCISE effect in the right column. Means are indicated in black line or bar graphs, female individuals are shown in red shades, male individuals in blue shades. TIME effects are presented for assessments during baseline data collection (BDC), during isolation (ISO1-4), and during the recovery phase (R). For exercise PROTOCOL effects comparing interval (INT, stripped bars) and continuous (CON, full bars) protocols, the mean at the beginning (INT1, CON1) and end (INT2, CON2) of each protocol is displayed. AcuteEXERCISE effects from pre- (light grey) to post-exercise (dark grey) are shown. Error bars indicate standard deviation


No effect of TIME, PROTOCOL or acuteEXERCISE for General Positive Affect or Negative Affect Sum was found (see Table 1 and Fig. 7a, b). It has to be noted that all but one participant mostly reported to perceive negative affect "not at all", almost without variation.

Fig. 7
figure 7

Results of the PANAS questionnaire: Positive Affect (a), Negative Affect (b). Chronic effects over TIME are displayed on the left, exercise PROTOCOL effects in the middle, and acuteEXERCISE effect on the right. Means are indicated in black line or bar graphs, female individuals are shown in red shades, male individuals in blue shades. TIME effects are presented for assessments during baseline data collection (BDC), during isolation (ISO1-4), and during recovery phase (R). For exercise PROTOCOL effects comparing interval (INT, stripped bars) and continuous (CON, full bars) protocols, the mean at the beginning (INT1, CON1) and end (INT2, CON2) of each protocol is displayed. AcuteEXERCISE effects from pre- (light grey) to post-exercise (dark grey) are shown. Error bars indicate standard deviation


The accuracy of performing the Cognition test battery remained stable for AIM, DSST, LOT, MRT, NBACK and VOLT (Fig. 8a, b, d–h), but showed slight improvements ERT (p = 0.055, Fig. 8c). The reaction time of the tests DSST, ERT, LOT, MPT, NBACK, and VOLT (Fig. 8i–m & o) progressively decreased over TIME (significantly for DSST and ERT: p = 0.001; see Table 1, Fig. 8i, j)). PVT reaction time (Fig. 8n) and lapses (Fig. 8 g) did not change over time. Significant lower reaction time for PVT was found for CON compared to INT (Fig. 8n). Lower reaction time was found for MPT (Fig. 8l) and VOLT (Fig. 8o) pre-exercise compared to post-exercise. No further pre- to post-exercise differences and no carry-over effects (INT1 vs. CON1) were found.

Fig. 8
figure 8figure 8

ah Accuracy within the Cognition tests in alphabetical order: a AIM accuracy, b DSST accuracy, c ERT accuracy, d LOT accuracy, e MRT accuracy, f NBACK accuracy, g PVT lapses, h VOLT accuracy. Presented in each figure in columns are chronic effects over TIME, exercise PROTOCOL effects, and acute EXERCISE effects. TIME effects are presented for assessments during baseline data collection (BDC), during isolation (ISO1-4), and during the recovery phase (R). For exercise PROTOCOL effects comparing interval (INT, stripped bars) and continuous (CON, full bars) protocols, the mean at the beginning (INT1, CON1) and end (INT2, CON2) of each protocol is displayed. Acute EXERCISE effects from pre- (light grey) to post-exercise (dark grey) are shown. Means are indicated in black line or bar graphs, female individuals are shown in red shades, male individuals in blue shades. Error bars indicate standard deviation.  8io Reaction times within the Cognition tests in alphabetical order: i DSST reaction time, j ERT reaction time, k LOT reaction time, l MPT reaction time, m NBACK reaction time, n PVT reaction time, o VOLT reaction time. Presented in each figure in columns are chronic effects over TIME, exercise PROTOCOL effects, and acute EXERCISE effects. TIME effects are presented for assessments during baseline data collection (BDC), during isolation (ISO1-4), and during the recovery phase (R). For exercise PROTOCOL effects comparing interval (INT, stripped bars) and continuous (CON, full bars) protocols, the mean at the beginning (INT1, CON1) and end (INT2, CON2) of each protocol is displayed. Acute EXERCISE effects from pre- (light grey) to post-exercise (dark grey) are shown. Means are indicated in black line or bar graphs, female individuals are shown in red shades, male individuals in blue shades. Error bars indicate standard deviation. For TIME effects, significant differences to BDC are indicated by *, to ISO1 by $, to ISO2 by §, and to ISO3 by #. For exercise PROTOCOL and acuteEXERCISE effects, significant differences are marked by *.


This study aimed to explore the effect of exercise on physical and cognitive performance, mood and affect as well as hormonal changes during a long-duration ICE mission. Intensity-matched INT and CON running exercise protocols and acute exercise effects have been examined and individually presented to promote optimization and individualization of exercise interventions for living under ICE or pandemic conditions.

The results suggest that subjective mood and affect state as well as cognitive performance, BDNF and VEGF level were unchanged during a four-month space-analogue isolation mission with accompanying regular and efficient running exercise. Physical performance, and reaction time during cognitive testing improved throughout the intervention, while basal IGF-1 level tended to increase. Clear acute exercise effects (tested pre and post exercise on two separate days and times) could not be observed, but reaction time in regard of sensorimotor speed and memory for complex figures was found to be slower after exercise. Higher IGF-1 concentrations and lower reaction time during the psychomotor vigilance test were found for the intensity-matched CON compared to the INT running protocol. However, carry-over effects found for the physical fitness parameter indicate, that the wash-out period between exercise protocols was insufficient.

Physical fitness

RERpeak, heart rate and lactate values (VO2peak tended) during physical performance tests improved in the course of isolation. Accordingly, the physical fitness of the crewmembers improved as a result of the individual regular running protocol. However, at ISO4 the improvement of physical performance parameters was flattened or stopped, which indicates that the exercise protocols were not effective at this time anymore. This could be due to completed adaptation and insufficient progression of training volume. In respect of the actigraphy data and in accordance with Koschate et al. [17], it could further be assumed that decreasing overall physical activity during isolation contributes to this stagnation of physical fitness. During R, heart rate and VO2peak tended back to baseline level whereas lactate and RERpeak more or less remained on improved levels. The results highlight the need for maintained daily physical activity levels and/or progressive regular as well as individualized exercise protocols during extended missions (> three months) in order to counteract declining physical activity levels and physical deteriorations.

The present study was not able to deliver clear results in favor of INT or CON exercise protocol in regard to the present physical performance parameters as confirmed by Koschate et al. [17], which is suggested to be due to the short duration of each training protocol (24 training days) and a short “wash-out” period (fifteen days) between protocols referring to the carry-over effects for lactate, VO2peak, and RERpeak. This, together with the intensity-matched approach, is suggested to mainly contribute to missing exercise protocol effects for the following investigated parameters.

Mood, affect, and cognition

Perceived mood and affect were stable in the present study over time with the regular exercise regimen and therewith extends previous short duration studies (30 to 45 days, 10, 11, 44). There is a growing body of evidence for the beneficial effect of exercise on mental health in general [7, 8], but also especially in relation to isolation and confinement, such as during the COVID-19 pandemic [51,52,53] as well as to space and space-analogue conditions [1, 9,10,11, 44, 54]. Habitually exercising participants were able to maintain their state of mood during isolation and confinement studies of up to nine months, whereas sedentary individuals showed substantial impairments [9,10,11]. Lower levels and restrictions of physical activity and exercise were found to correlate with impaired sleep, mood, and affect [10, 11, 53]. The study by Abeln et al. [9] also points out that participants voluntarily increased the exercise volume during the most difficult mid-winter time during Antarctic overwintering, which might be a sign of the higher need and higher perceived benefit of exercise to cope with this extreme situation. Higher physical activity level is known to positively correlate with positive affect and negatively with negative affect and stress [55]. Here, it can only be speculated based on these previous studies, that the maintained state of mood is correlated to the efficient regular exercise intervention and that mood would have shown a more negative progression if physical activity or fitness level declined. It supports the notion that regular exercise is an important tool to chronically prevent mood impairments, not only in ICE environments. However, individual coping strategies, feelings of loneliness, lack of social support, and crew cohesion have also been discussed as potential factors amongst others for previously found heterogenous mood and affect state progressions [1], which are out of the scope of this manuscript.

Considering the benefit of physical activity on cognition as well as the link between positive emotions with cognitive performance [56], the reaction time of the cognitive tasks was improving, and accuracy was stable as expected. Baser et al. [49] found similar progressions for the different tests and also higher variance for the LOT and MRT. The present results replicate their findings of practice and test-retests effects, which have to be taken into account and might confound isolation or exercise dependent effects. According to the comparable outcomes, the investigated domains of cognitive functions with high importance for astronauts can be assumed to be unimpaired during four months of isolation with regular exercise training and stable states of mood and affect. On an individual level, there are two individuals, one male and one female, who generally rate their state of mood (PEPS, PSYCHO and MOT) less positive and more likely vary in their cognitive performance. This observation might display the link between mood and cognition (e. g. lower motivation leads to lower cognitive performance), but there was no negative progression visible for those participants with accompanying exercise intervention. While this supports the notion of chronic exercise benefits, acute exercise effects comparing pre- and post-exercise timepoints should not be neglected. (Only) Two tasks (VOLT and MPT) revealed slower reaction time immediately after exercise, while accuracy was not impaired. Therefore, it requires further investigation whether these findings can be confirmed, are meaningful and if other exercise protocols might be more beneficial.

Contrary to previous studies finding acute benefits of exercise on cognition, mood and affect, it can be assumed that, here, separate assessment days for pre- and post-exercise comparisons might have contributed to this missing acute exercise effect. Different factors, such as daytime (circadian) effects as well as different psycho-physiological states due to training, work and nutrition schedule as well as social interactions or sleep cannot be ruled out to influence the pre- to post-exercise comparison. Separate days instead of testing immediately prior to and after exercise might mitigate repetition/practice and pre-exercise level effects for cognitive testing [57], as well as potential memory, expectation or placebo effects on mood and affect [58,59,60], which is a strength of the present study.

No difference between INT and CON exercise protocols could be observed in regard of mood, and affect, and for cognitive performance (besides for the PVT) which might be explained by their intensity-matched design, whereas previous studies mostly found differences when comparing moderate continuous and high-intensity interval protocols [15, 61,62,63,64]. But again, the short protocol duration and insufficient wash-out phase of the present study should also be taken into account. Nonetheless, the faster reaction time during the psychomotor vigilance test for CON compared to INT is an important outcome in terms of exercise recommendations not only for ICE missions. There is one individual who mainly accounts for the slower reaction time at INT2, but the effect is still present, when this individual is excluded. With all due respect, this exercise PROTOCOL effect for the reaction time in the PVT should be interpreted with caution.


Elevated cortisol levels have repeatedly been observed in previous space, and confinement observation studies [10, 36, 37, 44] and were suggested to reflect the underlying mechanism for the successful adaptation to isolation conditions as no accompanying cognitive or psychological impairments could be observed. Not only isolation but also exercise should be taken into account for cortisol levels. Particularly high-intensity (> 60% of VO2peak [65]) and/or high-volume exercise was shown to higher cortisol levels [66,67,68,69,70] and higher cortisol levels were also observed for higher compared to lower volume of exercise protocols in isolation [10, 11]. Previously, elevated cortisol levels were found at the start of isolation, but also at the time when exercise protocol commenced.

Here, no significant chronic or acute effect of isolation and/or exercise on cortisol level was observed. On a descriptive level, cortisol level tends to be higher during isolation, in particular in the morning and afternoon, compared to non-isolated baseline and recovery conditions but were found to be still within the normal range (instructions salivary cortisol ELISA by DRG Instruments: morning < 19.8 ng/mL; noon < 12.7 ng/mL; evening < 4.0 ng/mL). There are many differences between the previous isolation study in the Human Exploration Research Analog (HERA) in Houston, Texas, to the present isolation study in NEK in Moscow, such as size of the facility, operational tasks, crew size and composition, privacy space, and duration of isolation amongst others and besides the exercise protocol.

Accordingly, the present exercise intervention during isolation seems to be appropriate to maintain cortisol levels. Exercise-induced cortisol responses should be further investigated and distinguished from other stress responses during isolation and confinement studies.

Neurotrophic and growth factors

Contrary to the findings by Seifert et al. [71], BDNF and VEGF were not found to be (chronically) altered during isolation or with aerobic training and fitness. Previous literature about the effect of exercise on BDNF, IGF-1, and VEGF expression is heterogeneous and discussed to be dependent on exercise protocols, e. g. exercise type, intensity, volume [24, 29, 34, 67, 72,73,74] as well as the level of physical fitness [24, 75]. Consequently, moderate exercise intensity and increasing level of fitness in the present study might have contributed to the missing increase in basal BDNF and VEGF concentration.

IGF-1 is known to coordinate brain responses to metabolic status, muscle mass, and body homeostasis and to trigger cell proliferation and protect cell apoptosis [76]. The majority of existing studies have demonstrated its release triggered by aerobic exercise [29,30,31,32,33,34]. This supports the notion that the slightly rising basal levels of IGF-1 here are triggered by aerobic exercise. Increased levels of IGF-1 might coordinate physical adaptation (in reference to physical performance variables). Furthermore, IGF-1 can cross the blood–brain barrier and has been correlated with hippocampus volume and cognitive performance [77], which is why it can be speculated that increased basal IGF-1 levels might also be responsible for the maintenance/protection of cognitive performance [28, 78]. This is supported by similar findings regarding IGF-1 level observed in previous short-duration space-analogue isolation missions with regular exercise training along with preserved cognitive performance, mood and state of affect [10, 11, 44]. Interestingly, cell culture and animal studies provide evidence for an additive effect and higher neurotrophic impact of BDNF with higher IGF-1 presence [79]. According to this, there might be a chronic protective or a generative effect of exercise via the regulation and interplay of neurotrophic growth factors that this study design has not captured.

Something that should not be disregarded is the dip of IGF-1 in males at ISO3 was found in the two crew members who executed the extravehicular activities on the Lunar surface simulator and have been isolated from the rest of the crew for a period of time prior to ISO3 in a separate compartment. It can only be assumed that the reduced amount of physical activity and exercise during this period has contributed to this reduction in IGF-1, but this requires further investigation. The IGF-1 levels were back to normal at ISO4.

No acuteEXERCISE effect on neurotrophic and vascular-endothelial growth factors was detected comparing pre- with post-exercise data, but results marginally missed significance for IGF-1 (p = 0.052) and VEGF (p = 0.074). There is evidence for temporary, transient and local (central) exercise-induced releases of BDNF [24, 32, 80, 81], IGF-1 [82, 83] and VEGF [84, 85]. Moreover, day time/circadian variations were found for serum BDNF [86, 87] and for free serum IGF-1 levels [88], whereas no circadian variation was shown for VEGF [89, 90]. Blood draws for pre-exercise assessments took place in the morning, whereas post-exercise blood draw was executed about five minutes after exercise on a separate day at various daytimes. It should be noted that daytime dependent decreases might have diminished exercise-triggered increase, at least for BDNF and IGF-1. There is more reason to believe that exercise facilitates the effectiveness and turnover of these factors and that peripheral levels must not necessarily reflect central ones (brain as main source releasing BDNF [24, 80, 81, 85, 91]). This might explain missing acute exercise effects on these factors contrary to other studies [24, 33, 92]. Considering the circadian rhythm, facilitation, and additive effect of IGF-1, marginally higher IGF-1 concentrations post-exercise found here might be more significant as they visually and statistically reveal.

Although exercise PROTOCOL periods were reduced to four weeks respectively, interval compared to continuous exercise protocol was found to be significantly different in the effect on basal IGF-1 level, in which significant higher IGF-1 values were found at the end of the continuous training period (CON2) in all participants compared to the end of the interval training (INT2) without carry-over effect. This effect of the moderate-intensity continuous running protocol might be of added value for to date heterogenous findings regarding exercise recommendations for mental health [28]. However, in regard of the heterogeneity of changes from CON1 to CON2 as well as INT1 to INT2, confirmation is required in future studies. On the contrary to the findings by Saucedo Marquez et al. [81] and Santos et al. [73], no difference in BDNF level between exercise protocols could be observed here. High-intensity interval exercise in the previous studies might have contributed to this discrepancy [34, 73, 81]. Here, exercise intensity was aimed to be matched for both protocols for average treadmill speed. The present study delivers important results for intensity-matched comparison of interval and continuous exercise protocols.

The present findings suggest that regular individual aerobic running exercise promotes participants' fitness, cognitive performance, and perceived state of mood and affect during 120 days of isolation. This data, therefore, delivers more evidence for the benefit of individual aerobic exercise for physical and mental health and cognitive performance while living under ICE conditions for up to four months. While a chronic holistic benefit of exercise is assumed, the acute effect of exercise could not be supported, which is suggested to be mostly caused by separate pre- and post-exercise assessment days. This is an added-value of the present study, as repetition effects on two separate days are less likely to interfere. Moderate intensity continuous running seems to excel intensity-matched interval running regarding the release of IGF-1 and vigilance. Further studies are required to confirm the results for prolonged isolation and wash-out periods. Furthermore, future investigations should test other exercise protocols (various types, modalities, intensities, volumes) for augmented chronic and acute exercise effects and their hormonal response towards an effective and holistic countermeasure against psycho-physiological impairments during isolation.


Space and space analogue missions are of high effort and cost. Long-term investigations like the present 120 days isolation mission aim to mimic real space missions, including space limitations, people, load, contact to the outside, etc. Furthermore, the number of implemented studies is high in order to maximize the output, which requires consensus of involved parties and increases the potential of influencing factors. The advantage is the high level of control because almost everything is scheduled, predetermined and monitored. Consequently, the small sample size of a total of six participants and three individuals per sex has to be taken into account. A non-isolated or non-exercising control group is missing. The authors would like to emphasize at this point, that, because of the missing control group, the results cannot clearly be attributed to exercise. This interpretation is based on previous studies [9,10,11, 53].

Furthermore, it was difficult to schedule the present assessments in the dense implemented protocol as required. Exercise and subsequent test sessions were individually scheduled at various times during the day allowing only one participant at a time. The four-week training period per protocol might have been too short of revealing significant PROTOCOL effects. Moreover, the "wash-out" period (fifteen days in-between protocols) was too short as many carry-over effects (comparing CON1 and INT1) were found, which might have blurred protocol specific effects in this cross-over design. Blood for pre-exercise and chronic effect assessment was always drawn in the morning after wake-up (see chapter 2.2.) in order to obtain basal levels and avoid influences of nutrition or circadian cycle. The disadvantage is the missing data immediately prior to exercise. Due to ethical and economic reasons and implementation negotiations with mission control and other principal investigators, additional blood draws were not possible. Regarding cognition and mood, two assessments on the same day for direct pre- versus post-exercise comparisons regarding cognition and mood were avoided to control for effects of repetition, bias and social expectancy. While all this might have contributed to divergent results compared to previous space and exercise studies and should be taken into account, the present observational study does deliver important, comprehensive and (approximately) holistic data about the chronic and acute effects of isolation with regular exercise training of two different modalities over a 120 day period.


The present findings suggest that 120 days of isolation and confinement can be undergone without cognitive and mental deteriorations. The present efficient individual aerobic running training is assumed to play an important role in this regard chronically, whereas no acute benefits of exercise could be detected. Continuous running exercise was found to trigger higher IGF-1 expression and vigilance than intensity-matched interval running, although both protocols were only executed for four weeks, respectively, and separated by an insufficient wash-out period. Systematic and prolonged investigations are required to follow up on exercise-protocol specific differences in order to optimize the exercise intervention for long-term psycho-physiological health and well-being.

Availability of data and materials

Data generated or analyzed during this study are included in this published article [and its supplementary information files]. Datasets used during the current study are available from the corresponding author on reasonable request.


  1. The actigraphy data was shared with another group, who recorded actigraphy for other purposes, which is why not the same amount of data was stored for all participants. However, this data set delivers important data to estimate the physical activity behavior of the crewmembers in the course of isolation.



Acute exercise effects


Abstract imaging matching task: BDC: Baseline data collection


Brain-derived neurotrophic factor


Continuous exercise


Digit-symbol substitution task


Emotion recognition task


Isolated, confined, extreme


Insulin-like growth factor 1


Institute of Biomedical Problems


Interval exercise




Line orientation task


Mission day


Perceived motivational state


Matrix reasoning task


Motor praxis task


National Aeronautics and Space Administration Human Research Program


N-Back task


Nezemnyy Eksperimental'nyy Kompleks


Recovery phase


Scientific International Research in Unique Terrestrial Station 2019


Positive affect and negative affect schedule


Perceived physical state


Exercise protocol effects


Perceived psychological strain


Psychomotor vigilance test


Russian Academy of Sciences

RERpeak :

Peak respiratory exchange ratio


Chronic effects over time


Vascular-endothelial growth factor


Visual Object Learning Task

VO2peak :

Peak oxygen uptake


  1. De La Torre GG, van Baarsen B, Ferlazzo F, Kanas N, Weiss K, Schneider S, et al. Future perspectives on space psychology: Recommendations on psychosocial and neurobehavioural aspects of human spaceflight. Acta Astronaut. 2012;81(2):587–99.

    Article  Google Scholar 

  2. Affect NK. In: Gellman MD, Turner JR, editors. Encyclopedia of Behavioral Medicine. New York: Springer; 2013. p. 49–50.

    Google Scholar 

  3. Tugade MM, Fredrickson BL. Resilient individuals use positive emotions to bounce back from negative emotional experiences. J Pers Soc Psychol. 2004;86(2):320–33.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Sauer J, Hockey GR, Wastell DG. Performance evaluation in analogue space environments: adaptation during an 8-month Antarctic wintering-over expedition. Aviat Space Environ Med. 1999;70(3 Pt 1):230–5.

    CAS  PubMed  Google Scholar 

  5. Reed HL, Reedy KR, Palinkas LA, Van Do N, Finney NS, Case HS, et al. Impairment in cognitive and exercise performance during prolonged antarctic residence: effect of thyroxine supplementation in the polar triiodothyronine syndrome. J Clin Endocrinol Metab. 2001;86(1):110–6.

    CAS  PubMed  Google Scholar 

  6. Basner M, Dinges DF, Mollicone D, Ecker A, Jones CW, Hyder EC, et al. Mars 520-d mission simulation reveals protracted crew hypokinesis and alterations of sleep duration and timing. Proc Natl Acad Sci USA. 2013;110(7):2635–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Yeung RR. The acute effects of exercise on mood state. J Psychosom Res. 1996;40(2):123–41.

    Article  CAS  PubMed  Google Scholar 

  8. WHO. Motion for your mind: Physical activity for mental health promotion, protection and care Copenhagen: WHO Regional Office for Europe; 2019.

  9. Abeln V, MacDonald-Nethercott E, Piacentini MF, Meeusen R, Kleinert J, Strueder HK, et al. Exercise in isolation–a countermeasure for electrocortical, mental and cognitive impairments. PLoS ONE. 2015;10(5):e0126356.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. Klein T, Weber J, Foitschik T, Braunsmann L, Schneider S, Abeln V. Importance of physical exercise for brain health during short-term isolation - data from HERA C3 and C4. 2021 NASA Human Research Program Investigator´s Workshop; February 3rd, 2021; virtual. virtual: NASA Human Research Program; 2021.

  11. Klein T, Braunsmann L, Koschate J, Hoffmann U, Foitschik T, Krieger S, et al. Short-term isolation effects on the brain, cognitive performance and sleep - the role of exercise. Front Physiol Environ Aviation Space Physiol Under Rev. 2021;15:540–73.

    Google Scholar 

  12. Niven A, Laird Y, Saunders DH, Phillips SM. A systematic review and meta-analysis of affective responses to acute high intensity interval exercise compared with continuous moderate- and high-Intensity exercise. Health Psychol Rev. 2020;15:1–34.

    Google Scholar 

  13. Kao S-C, Westfall DR, Soneson J, Gurd B, Hillman CH. Comparison of the acute effects of high-intensity interval training and continuous aerobic walking on inhibitory control. Psychophysiology. 2017;54(9):1335–45.

    Article  PubMed  Google Scholar 

  14. Kao S-C, Drollette ES, Ritondale JP, Khan N, Hillman CH. The acute effects of high-intensity interval training and moderate-intensity continuous exercise on declarative memory and inhibitory control. Psychol Sport Exerc. 2018;38:90–9.

    Article  Google Scholar 

  15. Zhu Y, Sun F, Chiu MM, Siu AY. Effects of high-intensity interval exercise and moderate-intensity continuous exercise on executive function of healthy young males. Physiol Behav. 2021;239:113505.

    Article  CAS  PubMed  Google Scholar 

  16. Daussin FN, Zoll J, Dufour SP, Ponsot E, Lonsdorfer-Wolf E, Doutreleau S, et al. Effect of interval versus continuous training on cardiorespiratory and mitochondrial functions: relationship to aerobic performance improvements in sedentary subjects. Am J Physiol Regul Integr Comp Physiol. 2008;295(1):R264–72.

    Article  CAS  PubMed  Google Scholar 

  17. Koschate J, Moeller F, Haeger M, Hoffmann U, Drescher U, Fomina E, et al. Effects of aerobic exercise in confinement on cardiorespiratory kinetics and cognitive functions–results from the 4-month SIRIUS-19 isolation project. Acta Astronautica. (under review).

  18. Cotman CW, Berchtold NC. Physical activity and the maintenance of cognition: learning from animal models. Alzheimers Dement. 2007;3(2 Suppl):S30–7.

    PubMed  Google Scholar 

  19. Voss MW, Vivar C, Kramer AF, van Praag H. Bridging animal and human models of exercise-induced brain plasticity. Trends Cogn Sci. 2013;17(10):525–44.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Barrientos RM, Sprunger DB, Campeau S, Higgins EA, Watkins LR, Rudy JW, et al. Brain-derived neurotrophic factor mRNA downregulation produced by social isolation is blocked by intrahippocampal interleukin-1 receptor antagonist. Neuroscience. 2003;121(4):847–53.

    Article  CAS  PubMed  Google Scholar 

  21. Gong WG, Wang YJ, Zhou H, Li XL, Bai F, Ren QG, et al. Citalopram ameliorates synaptic plasticity deficits in different cognition-associated brain regions induced by social isolation in middle-aged rats. Mol Neurobiol. 2017;54(3):1927–38.

    Article  CAS  PubMed  Google Scholar 

  22. Adachi N, Numakawa T, Richards M, Nakajima S, Kunugi H. New insight in expression, transport, and secretion of brain-derived neurotrophic factor: implications in brain-related diseases. World J Biol Chem. 2014;5(4):409–28.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Huang T, Larsen KT, Ried-Larsen M, Moller NC, Andersen LB. The effects of physical activity and exercise on brain-derived neurotrophic factor in healthy humans: a review. Scand J Med Sci Sports. 2014;24(1):1–10.

    Article  PubMed  Google Scholar 

  24. Knaepen K, Goekint M, Heyman EM, Meeusen R. Neuroplasticity - exercise-induced response of peripheral brain-derived neurotrophic factor: a systematic review of experimental studies in human subjects. Sports Med. 2010;40(9):765–801.

    Article  PubMed  Google Scholar 

  25. Dinoff A, Herrmann N, Swardfager W, Lanctot KL. The effect of acute exercise on blood concentrations of brain-derived neurotrophic factor in healthy adults: a meta-analysis. Eur J Neurosci. 2017;46(1):1635–46.

    Article  PubMed  Google Scholar 

  26. Dinoff A, Herrmann N, Swardfager W, Liu CS, Sherman C, Chan S, et al. The Effect of exercise training on resting concentrations of peripheral brain-derived neurotrophic factor (BDNF): a meta-analysis. PLoS ONE. 2016;11(9):e0163037.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Carro E, Trejo JL, Busiguina S, Torres-Aleman I. Circulating insulin-like growth factor I mediates the protective effects of physical exercise against brain insults of different etiology and anatomy. J Neurosci. 2001;21(15):5678–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Autio J, Stenback V, Gagnon DD, Leppaluoto J, Herzig KH. (Neuro) peptides, physical activity, and cognition. J Clin Med. 2020;9(8):2592.

    Article  CAS  PubMed Central  Google Scholar 

  29. Vital TM, Stein AM, de Melo Coelho FG, Arantes FJ, Teodorov E, Santos-Galduroz RF. Physical exercise and vascular endothelial growth factor (VEGF) in elderly: a systematic review. Arch Gerontol Geriatr. 2014;59(2):234–9.

    Article  CAS  PubMed  Google Scholar 

  30. Voss MW, Erickson KI, Prakash RS, Chaddock L, Kim JS, Alves H, et al. Neurobiological markers of exercise-related brain plasticity in older adults. Brain Behav Immun. 2013;28:90–9.

    Article  CAS  PubMed  Google Scholar 

  31. Erickson KI, Voss MW, Prakash RS, Basak C, Szabo A, Chaddock L, et al. Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci USA. 2011;108(7):3017–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Coelho FG, Gobbi S, Andreatto CA, Corazza DI, Pedroso RV, Santos-Galduroz RF. Physical exercise modulates peripheral levels of brain-derived neurotrophic factor (BDNF): a systematic review of experimental studies in the elderly. Arch Gerontol Geriatr. 2013;56(1):10–5.

    Article  CAS  PubMed  Google Scholar 

  33. de Alcantara BD, da Silva AE, Rosa JPP, Facundo LA, Costa CMA, Silva AC, et al. Can IGF-1 serum levels really be changed by acute physical exercise? a systematic review and meta-analysis. J Phys Act Health. 2020;17(5):575–84.

    Article  Google Scholar 

  34. Limaye NS, Carvalho LB, Kramer S. Effects of Aerobic Exercise on Serum Biomarkers of Neuroplasticity and Brain Repair in Stroke: A Systematic Review. Arch Phys Med Rehabil. 2021;102(8):1633–44.

    Article  PubMed  Google Scholar 

  35. Ganse B, Bosutti A, Drey M, Degens H. Sixty days of head-down tilt bed rest with or without artificial gravity do not affect the neuromuscular secretome. Exp Cell Res. 2021;399(2):112463.

    Article  CAS  PubMed  Google Scholar 

  36. Jacubowski A, Abeln V, Vogt T, Yi B, Chouker A, Fomina E, et al. The impact of long-term confinement and exercise on central and peripheral stress markers. Physiol Behav. 2015;152(Pt A):106–11.

    Article  CAS  PubMed  Google Scholar 

  37. Chouker A, Smith L, Christ F, Larina I, Nichiporuk I, Baranov V, et al. Effects of confinement (110 and 240 days) on neuroendocrine stress response and changes of immune cells in men. J Appl Physiol. 2002;92(4):1619–27.

    Article  CAS  PubMed  Google Scholar 

  38. Comijs HC, Gerritsen L, Penninx BW, Bremmer MA, Deeg DJ, Geerlings MI. The association between serum cortisol and cognitive decline in older persons. Am J Geriatr Psychiatry. 2010;18(1):42–50.

    Article  PubMed  Google Scholar 

  39. Lupien SJ, Maheu F, Tu M, Fiocco A, Schramek TE. The effects of stress and stress hormones on human cognition: Implications for the field of brain and cognition. Brain Cogn. 2007;65(3):209–37.

    Article  CAS  PubMed  Google Scholar 

  40. Duman RS, Monteggia LM. A neurotrophic model for stress-related mood disorders. Biol Psychiatry. 2006;59(12):1116–27.

    Article  CAS  PubMed  Google Scholar 

  41. Liston C, McEwen BS, Casey BJ. Psychosocial stress reversibly disrupts prefrontal processing and attentional control. Proc Natl Acad Sci USA. 2009;106(3):912–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Gouarne C, Groussard C, Gratas-Delamarche A, Delamarche P, Duclos M. Overnight urinary cortisol and cortisone add new insights into adaptation to training. Med Sci Sports Exerc. 2005;37(7):1157–67.

    Article  PubMed  Google Scholar 

  43. Duclos M, Gouarne C, Bonnemaison D. Acute and chronic effects of exercise on tissue sensitivity to glucocorticoids. J Appl Physiol. 2003;94(3):869–75.

    Article  CAS  PubMed  Google Scholar 

  44. Weber J, Javelle F, Klein T, Foitschik T, Crucian B, Schneider S, et al. Neurophysiological, neuropsychological, and cognitive effects of 30 days of isolation. Exp Brain Res. 2019;237(6):1563–73.

    Article  PubMed  Google Scholar 

  45. Kleinert J. Adjektivliste zur Erfassung der wahrgenommenen körperlichen Verfassung (WKV): Skalenkonstruktion und erste psychometrische Befunde [Adjective list for assessing Perceived Physical State (PEPS). Scale construction and psychometric results]. Z Sportpsychol. 2006;13(4):156–64.

    Article  Google Scholar 

  46. Nitsch JR. Die Eigenzustandsskala (EZ-Skala) - Ein Versuch zur hierarchisch-mehrdimensionalen Befindlichkeitsskalierung [The Eigenszustandsskala (EZ-scale) - an approach to a ierarchical multidimensional scale of psychological feeling]. In: Nitsch JR, Udris I, editors. Beanspruchung im Sport; Beiträge zur psychologischen Analyse sportlicher Leistungssituation Bad Homburg: Limpert; 1976.

  47. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063–70.

    Article  CAS  PubMed  Google Scholar 

  48. Osin E. Measuring positive and negative affect: development of a russian-language analogue of PANAS. Psychol J Higher School Econ. 2012;9:91–110.

    Google Scholar 

  49. Basner M, Savitt A, Moore TM, Port AM, McGuire S, Ecker AJ, et al. Development and validation of the cognition test battery for spaceflight. Aerosp Med Hum Perform. 2015;86(11):942–52.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Moore TM, Basner M, Nasrini J, Hermosillo E, Kabadi S, Roalf DR, et al. Validation of the cognition test battery for spaceflight in a sample of highly educated adults. Aerosp Med Hum Perform. 2017;88(10):937–46.

    Article  PubMed  Google Scholar 

  51. De Sousa RAL, Improta-Caria AC, Aras-Junior R, de Oliveira EM, Soci UPR, Cassilhas RC. Physical exercise effects on the brain during COVID-19 pandemic: links between mental and cardiovascular health. Neurol Sci. 2021;42(4):1325–34.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Hall G, Laddu DR, Phillips SA, Lavie CJ, Arena R. A tale of two pandemics: How will COVID-19 and global trends in physical inactivity and sedentary behavior affect one another? Prog Cardiovasc Dis. 2021;64:108–10.

    Article  PubMed  Google Scholar 

  53. Van Cutsem J, Abeln V, Schneider S, Keller N, Diaz-Artiles A, Ramallo MA, et al. The impact of the COVID-19 lockdown on human psychology and physical activity: a space analog research perspective. Int J Astrobiol. 2022;24:e32598.

    Google Scholar 

  54. Schneider S, Brummer V, Carnahan H, Kleinert J, Piacentini MF, Meeusen R, et al. Exercise as a countermeasure to psycho-physiological deconditioning during long-term confinement. Behav Brain Res. 2010;211(2):208–14.

    Article  PubMed  Google Scholar 

  55. Schultchen D, Reichenberger J, Mittl T, Weh TRM, Smyth JM, Blechert J, et al. Bidirectional relationship of stress and affect with physical activity and healthy eating. Br J Health Psychol. 2019;24(2):315–33.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Sewart AR, Zbozinek TD, Hammen C, Zinbarg RE, Mineka S, Craske MG. Positive affect as a buffer between chronic stress and symptom severity of emotional disorders. Clin Psychol Sci. 2019;7(5):914–27.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Ishihara T, Drollette ES, Ludyga S, Hillman CH, Kamijo K. The effects of acute aerobic exercise on executive function: A systematic review and meta-analysis of individual participant data. Neurosci Biobehav Rev. 2021;128:258–69.

    Article  PubMed  Google Scholar 

  58. Szabo A. Acute psychological benefits of exercise: reconsideration of the placebo effect. J Ment Health. 2013;22(5):449–55.

    Article  PubMed  Google Scholar 

  59. Lindheimer JB, Szabo A, Raglin JS, Beedie C. Advancing the understanding of placebo effects in psychological outcomes of exercise: Lessons learned and future directions. Eur J Sport Sci. 2020;20(3):326–37.

    Article  PubMed  Google Scholar 

  60. Anderson RJ, Brice S. The mood-enhancing benefits of exercise: memory biases augment the effect. Psychol Sport Exerc. 2011;12(2):79–82.

    Article  Google Scholar 

  61. Oliveira BR, Slama FA, Deslandes AC, Furtado ES, Santos TM. Continuous and high-intensity interval training: which promotes higher pleasure? PLoS ONE. 2013;8(11):e79965.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  62. Thum JS, Parsons G, Whittle T, Astorino TA. High-intensity interval training elicits higher enjoyment than moderate intensity continuous exercise. PLoS ONE. 2017;12(1):e0166299.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  63. Oliveira BR, Santos TM, Kilpatrick M, Pires FO, Deslandes AC. Affective and enjoyment responses in high intensity interval training and continuous training: a systematic review and meta-analysis. PLoS ONE. 2018;13:e0197124.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  64. Stork MJ, Banfield LE, Gibala MJ, Martin Ginis KA. A scoping review of the psychological responses to interval exercise: is interval exercise a viable alternative to traditional exercise? Health Psychol Rev. 2017;11(4):324–44.

    Article  PubMed  Google Scholar 

  65. Duclos M, Tabarin A. Exercise, Training, and the Hypothalamo–Pituitary–Adrenal Axis. In: Ghigo E, Lanfranco F, Strasburger CJ, editors. Hormone Use and Abuse by Athletes. Boston: Springer, US; 2011. p. 9–15.

    Chapter  Google Scholar 

  66. Di Luigi L, Baldari C, Gallotta MC, Perroni F, Romanelli F, Lenzi A, et al. Salivary steroids at rest and after a training load in young male athletes: relationship with chronological age and pubertal development. Int J Sports Med. 2006;27(9):709–17.

    Article  PubMed  CAS  Google Scholar 

  67. Hotting K, Schickert N, Kaiser J, Roder B, Schmidt-Kassow M. The effects of acute physical exercise on memory, peripheral BDNF, and cortisol in young adults. Neural Plast. 2016;2016:6860573.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  68. Monje C, Rada I, Castro-Sepulveda M, Penailillo L, Deldicque L, Zbinden-Foncea H. Effects of a high intensity interval session on mucosal immune function and salivary hormones in male and female endurance athletes. J Sports Sci Med. 2020;19(2):436–43.

    PubMed  PubMed Central  Google Scholar 

  69. Ross RE, Saladin ME, George MS, Gregory CM. High-intensity aerobic exercise acutely increases brain-derived neurotrophic factor. Med Sci Sports Exerc. 2019;51(8):1698–709.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Kraemer WJ, Ratamess NA, Hymer WC, Nindl BC, Fragala MS. Growth Hormone(s), testosterone, insulin-like growth factors, and cortisol: roles and integration for cellular development and growth with exercise. Front Endocrinol. 2020;11:33.

    Article  Google Scholar 

  71. Seifert T, Brassard P, Wissenberg M, Rasmussen P, Nordby P, Stallknecht B, et al. Endurance training enhances BDNF release from the human brain. Am J Physiol Regul Integr Comp Physiol. 2010;298(2):R372–7.

    Article  CAS  PubMed  Google Scholar 

  72. Antunes BM, Rossi FE, Teixeira AM, Lira FS. Short-time high-intensity exercise increases peripheral BDNF in a physical fitness-dependent way in healthy men. Eur J Sport Sci. 2020;20(1):43–50.

    Article  PubMed  Google Scholar 

  73. Santos CC, Diniz TA, Inoue DS, Gerosa-Neto J, Panissa VL, Pimentel GD, et al. Influence to high-intensity intermittent and moderate-intensity continuous exercise on indices of cardio-inflammatory health in men. J Exerc Rehabil. 2016;12(6):618–23.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Maass A, Duzel S, Brigadski T, Goerke M, Becke A, Sobieray U, et al. Relationships of peripheral IGF-1, VEGF and BDNF levels to exercise-related changes in memory, hippocampal perfusion and volumes in older adults. Neuroimage. 2016;131:142–54.

    Article  CAS  PubMed  Google Scholar 

  75. El-Sayes J, Harasym D, Turco CV, Locke MB, Nelson AJ. Exercise-induced neuroplasticity: a mechanistic model and prospects for promoting plasticity. Neuroscientist. 2019;25(1):65–85.

    Article  PubMed  Google Scholar 

  76. Torres-Aleman I. Toward a comprehensive neurobiology of IGF-I. Dev Neurobiol. 2010;70(5):384–96.

    CAS  PubMed  Google Scholar 

  77. Stein AM, Silva TMV, Coelho FGM, Arantes FJ, Costa JLR, Teodoro E, et al. Physical exercise, IGF-1 and cognition A systematic review of experimental studies in the elderly. Dement Neuropsychol. 2018;12(2):114–22.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Cassilhas RC, Tufik S, de Mello MT. Physical exercise, neuroplasticity, spatial learning and memory. Cell Mol Life Sci. 2016;73(5):975–83.

    Article  CAS  PubMed  Google Scholar 

  79. McCusker RH, McCrea K, Zunich S, Dantzer R, Broussard SR, Johnson RW, et al. Insulin-like growth factor-I enhances the biological activity of brain-derived neurotrophic factor on cerebrocortical neurons. J Neuroimmunol. 2006;179(1–2):186–90.

    Article  CAS  PubMed  Google Scholar 

  80. Heyman E, Gamelin FX, Goekint M, Piscitelli F, Roelands B, Leclair E, et al. Intense exercise increases circulating endocannabinoid and BDNF levels in humans–possible implications for reward and depression. Psychoneuroendocrinology. 2012;37(6):844–51.

    Article  CAS  PubMed  Google Scholar 

  81. Saucedo Marquez CM, Vanaudenaerde B, Troosters T, Wenderoth N. High-intensity interval training evokes larger serum BDNF levels compared with intense continuous exercise. J Appl Physiol. 2015;119(12):1363–73.

    Article  PubMed  CAS  Google Scholar 

  82. Berg U, Bang P. Exercise and circulating insulin-like growth factor I. Horm Res. 2004;62(Suppl 1):50–8.

    CAS  PubMed  Google Scholar 

  83. Ploughman M, Granter-Button S, Chernenko G, Tucker BA, Mearow KM, Corbett D. Endurance exercise regimens induce differential effects on brain-derived neurotrophic factor, synapsin-I and insulin-like growth factor I after focal ischemia. Neuroscience. 2005;136(4):991–1001.

    Article  CAS  PubMed  Google Scholar 

  84. Ravasi A, Yadegari M, Choobineh S. The effect of two types of physical activity on serum VEGF-A response in non-athletic men. Sport Biosci. 2014;6(1):63–71.

    Google Scholar 

  85. Van Craenenbroeck EM, Vrints CJ, Haine SE, Vermeulen K, Goovaerts I, Van Tendeloo VF, et al. A maximal exercise bout increases the number of circulating CD34+/KDR+ endothelial progenitor cells in healthy subjects. Relation with lipid profile. J Appl Physiol. 2008;104(4):1006–13.

    Article  PubMed  CAS  Google Scholar 

  86. Piccinni A, Marazziti D, Del Debbio A, Bianchi C, Roncaglia I, Mannari C, et al. Diurnal variation of plasma brain-derived neurotrophic factor (BDNF) in humans: an analysis of sex differences. Chronobiol Int. 2008;25(5):819–26.

    Article  CAS  PubMed  Google Scholar 

  87. Tirassa P, Iannitelli A, Sornelli F, Cirulli F, Mazza M, Calza A, et al. Daily serum and salivary BDNF levels correlate with morning-evening personality type in women and are affected by light therapy. Riv Psichiatr. 2012;47(6):527–34.

    PubMed  Google Scholar 

  88. Heuck C, Skjaerbaek C, Orskov H, Wolthers OD. Circadian variation in serum free ultrafiltrable insulin-like growth factor I concentrations in healthy children. Pediatr Res. 1999;45(5 Pt 1):733–6.

    Article  CAS  PubMed  Google Scholar 

  89. Hetland ML, Christensen IJ, Lottenburger T, Johansen JS, Svendsen MN, Horslev-Petersen K, et al. Circulating VEGF as a biological marker in patients with rheumatoid arthritis? Preanalytical and biological variability in healthy persons and in patients. Dis Markers. 2008;24(1):1–10.

    Article  CAS  PubMed  Google Scholar 

  90. Hanefeld M, Engelmann K, Appelt D, Sandner D, Weigmann I, Ganz X, et al. Intra-individual variability and circadian rhythm of vascular endothelial growth factors in subjects with normal glucose tolerance and type 2 diabetes. PLoS ONE. 2017;12(10):e0184234.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  91. Rasmussen P, Brassard P, Adser H, Pedersen MV, Leick L, Hart E, et al. Evidence for a release of brain-derived neurotrophic factor from the brain during exercise. Exp Physiol. 2009;94(10):1062–9.

    Article  CAS  PubMed  Google Scholar 

  92. Rezaee D, Bandehpour M, Kazemi B, Salehi M. Role of intrauterine administration of transfected peripheral blood mononuclear cells by GM-CSF on embryo implantation and pregnancy rate in mice. Mol Hum Reprod. 2020;26(2):101–10.

    Article  CAS  PubMed  Google Scholar 

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The authors like to thank all SIRIUS-19 crew members and mission operators of IBMP and NASA, in particular Pete Roma, Igor Kofman and Igor Savelev. Thanks to Kathrin Steichele, Sonja Eich, Jan Weber, Finja Beermann, Florian Javelle and Philipp Zimmer and the team of Galina Vassilieva for their efforts on data acquisition and analyses. Data of the PANAS questionnaire are part of NASA Human Research Program Standard Measures. Cognition data were collected and provided by the NASA Behavioral Health & Performance Laboratory, Johnson Space Center, as part of Generalizability of Operational Feasibility and Acceptability of HFBP Exploration Measures in Nezemnyy Eksperimental'nyy Kompleks (NEK) project, supported by NASA's Human Research Program. We like to thank those who have been willing and supportive in terms of data sharing, in particular Vadim Gushin, Uwe Hoffmann, Gilles Clement and Suzanne Bell and all others behind these shared data sets. We thank the DLR for administrative support.


Open Access funding enabled and organized by Projekt DEAL. This work was supported by the Federal Ministry of Economic Affairs and Energy and the German Space Agency (DLR grant 50WB1813). SIRIUS-19 isolation mission was supported by the Russian Academy of Sciences (programs ## 63.1, 64.1, 65.1). The funding parties have no other involvement in this work than this.

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Authors and Affiliations



VA: Principal investigator, study design, management and execution, data assessment, analyses, discussion, article writing and communication to involved parties; EF: study coordination, exercise protocol design and execution, physical performance data, analyses, discussions, article contribution; JP study coordination, study protocol design and execution, blood lactate data and analyses, discussions, article contribution; LB: data management, processing and statistical analyses, literature management, discussion, article contribution; JK: physical performance data, analyses, discussions, article contribution; FM: physical performance data, analyses, discussions, article contribution; SOF: study execution, blood sampling, actigraphy data recording and management, analysis and article contribution; GYV: blood sampling and processing, analyses and discussion, article contribution; SS: Co-principal investigator, study proposal, coordination, discussion, article contribution; HKS: study proposal, neurotrophic factor expertise, discussion, article contribution; TK: study coordinator, management, data assessment, processing, analyses, discussion, article contribution. All authors read and approved the final manuscript.

Authors' information

The present manuscript and data included is comprehensive, but the authors intend to consider all data sets and factors in one publication instead of splitting them into separate ones in order to provide a comprehensive picture about the effects of exercise on physical and psychological state and mental health.

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Correspondence to V. Abeln.

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The study was approved based on the Declaration of Helsinki by the ethics committee of the German Sport University Cologne (ethic approval no. 117/2018), the IBMP ethics committee, and the Institutional Review Board of NASA. All methods were performed in accordance with the relevant guidelines and regulations, and informed consent was obtained from all participants.

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The authors declare no competing interests.

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Additional file 1:

Example for continuous training (CON, upper figure) and interval training (INT, lower figure) micro cycle. Day 1 of the training micro cycle is presented in blue, Day 2 in green, and day 3 in red color. The lag is provided on the x-axis in seconds (s) and treadmill on the y-axis in kilometer per hours (km h-1).

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Abeln, V., Fomina, E., Popova, J. et al. Chronic, acute and protocol-dependent effects of exercise on psycho-physiological health during long-term isolation and confinement. BMC Neurosci 23, 41 (2022).

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