Intrinsic functional connectivity reduces after first-time exposure to short-term gravitational alterations induced by parabolic flight

Abstract

Spaceflight severely impacts the human body. However, little is known about how gravity and gravitational alterations affect the human brain. Here, we aimed at measuring the effects of acute exposure to gravity transitions. We exposed 28 naïve participants to repetitive alterations between normal, hyper- and microgravity induced by a parabolic flight (PF) and measured functional MRI connectivity changes. Scans were acquired before and after the PF. To mitigate motion sickness, PF participants received scopolamine prior to PF. To account for the scopolamine effects, 12 non-PF controls were scanned prior to and after scopolamine injection. Changes in functional connectivity were explored with the Intrinsic Connectivity Contrast (ICC). Seed-based analysis on the regions exhibiting localized changes was subsequently performed to understand the networks associated with the identified nodes. We found that the PF group was characterized by lower ICC scores in the right temporo-parietal junction (rTPJ), an area involved in multisensory integration and spatial tasks. The encompassed network revealed PF-related decreases in within- and inter-hemispheric anticorrelations between the rTPJ and the supramarginal gyri, indicating both altered vestibular and self-related functions. Our findings shed light on how the brain copes with gravity transitions, on gravity internalization and are relevant for the understanding of bodily self-consciousness.

Introduction

Spaceflight induces several physiological changes in the human body, such as fluid shifts, neurovestibular disturbances, bone loss and muscle atrophy1. Space crew adapt fairly well to these changes, depending on the site of action and the applied countermeasures. Yet, despite several decades of human spaceflight, countermeasures are not entirely successful. For example, space motion sickness is still present among several space travellers when arriving in the International Space Station, and upon return to Earth, orthostatic intolerance often occurs next to spatial disorientation, continued osteoporosis and muscle atrophy1, 2. Some space travellers adapt easier to the relatively hostile environment of space than others, and second - time fliers certainly experience fewer problems, which has been well described for e.g. space motion sickness2.

The central nervous system also seems capable of adaptation to microgravity by the process of neuroplasticity, as previously shown in animals3,4,5. Yet, little is known about the effects of microgravity and gravity transitions on the human brain6. Recently, in a functional MRI study with a single cosmonaut, we showed that long-duration spaceflight induced functional changes in the right insula and in sensorimotor-cerebellar connectivity7.

However, research on humans in space is expensive and subject to several logistic and payload restrictions. Hence, ground-based models have been developed, in which some aspects of spaceflight can be simulated. Dry immersion8 and head-down bed rest9 mimic certain characteristics of spaceflight quite well, such as ‘supportlessness’ or fluid shifts respectively. Nevertheless, these space analogs are performed in the presence of a constant gravitational force, and therefore not suitable to study the impact of microgravity and acute gravitational transitions on the human brain.

Parabolic flight is a “ground-based” alternative, during which a specific parabolic trajectory is carried out, wherein the acceleration of the aircraft cancels the gravity acceleration. A hypergravity phase, characterized by 1.5–1.8 g lasting around 30–35 s, precedes and follows the microgravity phase. Microgravity resembles zero g and lasts around 20–25 s. In between parabolas, the aircraft flies in normal 1 g conditions10. The sensation of weightlessness is caused when the aircraft is in free fall, because during that time it does not exert any ground reaction force on its contents. Thus, PF consists of gravity transitions, (microgravity, hypergravity and normal gravity phases), generated during 31 parabolas. An entire flight lasts around 3 to 3.5 h (Fig. 1).

Figure 1
figure1

Flight trajectory during the parabolic manoeuvre.

The aim of the present study was to measure the effects of acute exposure to gravitational transitions, induced by PF, in naïve human subjects. We hypothesized that a) after short-term exposure to gravity alterations the brain will show modifications at the functional level and b) these modifications will concern the vestibular system. Our first hypothesis is supported by previous fMRI studies showing changes in brain function after acute environmental modulations (e.g. refs 11,12,13) or after intense subjective experiences (e.g. refs 14 and 15), suggesting that short-term plasticity is measurable with neuroimaging tools. Our second hypothesis is based on the observations that, in normal conditions, vestibular cues give information on the pull of the gravito-inertial acceleration being the vector sum of gravity and all other linear accelerations exerted on the vestibulum. Together with somatosensory information from joints, skin and muscles, the vestibular information is integrated with allocentric information from the visual surroundings and egocentric cues about one’s own body axis16. During a PF, especially during the microgravity phase, the vestibular input is largely disturbed and therefore might cause an incongruity with the normal terrestrial expectations regarding verticality and spatial orientation17. As no previous neuroimaging investigations have been performed under these conditions6, 18, 19, a data-driven approach was here implemented to investigate changes in fMRI functional connectivity during resting state. Functional connectivity refers to the temporal correlation between spatially remote neurophysiological events, expressed as a deviation from statistical independence in distributed brain regions20. In order to better comprehend how the identified regions, which exhibit these changes, are related to the rest of the brain, we subsequently estimated the cerebral networks correlating with these nodes. In order to debrief overall functionality, subjective ratings on the level of wakefulness, emotional function and motion sickness were collected prior and after the PF.

Materials and Methods

Subjects

The inclusion criteria to participate in the PF were: adult participants, no previous participation in a PF, non-smokers, and good physical condition according to a complete medical check-up screening. Each selected subject participated in one PF only. Based on these criteria, an initial cohort of 31 volunteers was obtained. Three subjects were excluded from the analysis because post-flight fMRI data could not be obtained due to logistical reasons. The final PF cohort included 28 healthy participants (11 female; mean (SD) age 31 (7) years). Prior to the PF, all selected participants received scopolamine (0.25 mg/1 mL; 0.7 mL for males and 0.5 mL for females), a muscarinic receptor antagonist known to alleviate motion sickness21. To account for the effects of the drug, an independent control group of 12 adults (4 female; mean (SD) age 24 (3) years) who received scopolamine was also included. These participants had no previous experience with PFs.

All participants provided a signed informed consent form. The study was approved by the local ethics committee of the Antwerp University Hospital (13/38/357), by the European Space Agency (ESA) medical board and by the Comité de Protection des Personnes Nord Ouest III (Caen, France). All clinical investigations have been conducted according to the principles expressed in the Declaration of Helsinki.

Procedure

The PFs took place during the European Space Agency (ESA) PF campaigns on board of the Airbus A-300 Zero G, in April 2014 (60th campaign) and September 2014 (61st campaign); and on board of the Airbus A-310 Zero G in May 2015 (1st cooperative CNES/DLR/ESA PF campaign) and June 2015 (62th campaign). All flights departed from Bordeaux-Merignac airport (France) and were exploited by Novespace (www.novespace.fr). Each campaign consisted of PFs on 3 consecutive days. Each PF included 31 parabolic manoeuvers at zero g. Every parabola started with a pull-up phase and ended with a pull-out phase at 1.8 g, both lasting about 20 s. The duration of the zero-g condition was about 21 s (Fig. 1). Every flight lasted approximately three hours in total.

Approximately one hour before take-off, all participants were administered a subcutaneous injection of scopolamine by the campaign medical doctor as is routinely the case in PFs22. On board, subjects were seated and secured with a safety belt during the first 5 parabolas, to enhance adaptation to the peculiar sensation of gravity shifts. Afterwards, they were allowed to free-float in a therefore restricted zone for at least 5 consecutive parabolas. A pre-flight scanning session took place 1 to 2 days before the flight and the post-flight session was performed right after (<4 hours) the completion of the flight, at the University of Bordeaux and University Hospital of Bordeaux (France).

Prior to and immediately after PF, participants fulfilled standardized questionnaires assessing the level of wakefulness, emotional function and motion sickness23. The Epworth Sleepiness Scale24 (ESS) is a 8-item scale ranging from 0–3, which assesses sleepiness and it was incorporated to assess the possible fatigue and drowsiness associated with the administration of scopolamine; a score of 10 separates between normal individuals and excessive daytime sleepiness. The Positive and Negative Affect Scale (PANAS)25 is a 20-item measure of positive and negative affect ranging from 1 to 5; momentary mean scores for the Positive Affect Score is 29.7 (7.9) and for the Negative Affect Score is 14.8 (5.4). The Motion Sickness Assessment Questionnaire (MSAQ)26 is a 16-item questionnaire comprising of four subscales, all assessing a different aspect of motion sickness (gastrointestinal, central, peripheral and sopite-related). The Misery Scale (MISC)27 is an 11-point scale ranging from 0 to 10 which measures the level of motion sickness; each participant had to report a MISC score 7 times in total: pre-flight (seated in the plane before take-off), after the 1st, 6th, 10th, 20th and 30th parabola and post-flight (right after landing). Questionnaire data were also collected in the scopolamine control group in the same way. Data were analysed with SPSS v21 (IBM Corp, Armonk, New York). Bonferroni-corrected Wilcoxon Signed Rank tests were performed to test differences in scoring between pre- and post PF, as well as between pre- and post- scopolamine intake in the control group.

Data acquisition

PF group: pre- and post-flight data were acquired on a 3 T GE MR 750 W (GE Healthcare, Milwaukee, Wisconsin, USA) MRI scanner at the University of Bordeaux and University Hospital of Bordeaux (France), using a 32-channel head coil. During resting state, 280 multislice T2*-weighted images were acquired with a gradient-echo echo-planar imaging sequence using axial slice orientation and covering the whole brain (voxel size = 3 × 3 × 3 mm; matrix size = 64 × 64 × 42; repetition time = 2 s; echo time = 20 ms; flip angle = 77°; field of view = 192 × 192 mm). For anatomical reference, a high-resolution T1-weighted image was acquired for each subject (T1-weighted 3D magnetization-prepared rapid gradient echo sequence).

Scopolamine control group (non-PF): two scanning sessions took place, a baseline medication-free session and 3 hours after the administration of scopolamine (Antwerp University Hospital, Belgium). Pre- and post-scopolamine data were acquired on a 3 T Siemens MAGNETOM Prisma scanner (Siemens, Erlangen, Germany), using a 32-channel head coil. During the resting state scanning period, an identical MRI sequence was used as for the PF group.

Data analysis

Data preprocessing was performed with Statistical Parametric Mapping 12 (SPM12; www.fil.ion.ucl.ac.uk/spm) and statistical analysis with the CONN v.16 functional connectivity toolbox (www.nitrc.org/projects/conn). The initial three volumes were discarded to avoid T1 saturation effects. Preprocessing steps included slice-time correction, realignment, segmentation of structural data, normalization into standard stereotactic Montreal Neurological Institute (MNI) space and spatial smoothing using a Gaussian kernel of 6 mm full width at half-maximum (FWHM). Motion correction further encompassed motion artifact detection and rejection using the artifact detection toolbox (ART; http://www.nitrc.org/projects/artifact_detect). Specifically, an image was defined as an outlier image if the head displacement in x, y, or z direction was greater than 0.5 mm from the previous frame, or if the rotational displacement was greater than 0.02 radians from the previous frame, or if the global mean intensity in the image was greater than 3 SDs from the mean image intensity for the entire resting session. Outliers in the global mean signal intensity and motion were subsequently included as nuisance regressors within the first-level general linear model. For noise reduction, we used the anatomical component-based noise correction method aCompCor28. This approach models the influence of noise as a voxel-specific linear combination of multiple empirically estimated noise sources by deriving principal components from noise regions of interest (ROIs) and by including them as nuisance parameters within first-level general linear model. Specifically, the anatomical image for each participant was segmented into white matter (WM), gray matter, and cerebrospinal fluid (CSF) masks. To minimize partial voluming with gray matter, the WM and CSF masks were eroded by one voxel, which resulted in substantially smaller masks than the original segmentations29. The eroded WM and CSF masks were then used as noise ROIs. Signals from the WM and CSF noise ROIs were extracted from the unsmoothed functional volumes to avoid additional risk of contaminating WM and CSF signals with gray matter signals. A temporal band-pass filter of 0.008–0.09 Hz was applied. Residual head motion parameters (three rotation and three translation parameters, plus another six parameters representing their first-order temporal derivatives) were also regressed out.

Statistical analysis adopted a hypothesis-free (voxel-to-voxel) approach. First-level voxel-to-voxel analysis encompassed the estimation of voxel-to-voxel functional correlation matrix within each subject. From the residual BOLD time series at every voxel within an a priori GM mask (isotropic 2-mm voxels) the matrix of voxel-to-voxel bivariate correlation coefficients was computed30. From this voxel-to-voxel correlation matrix, the intrinsic connectivity contrast (ICC) was computed31. The ICC characterizes the strength of the global connectivity pattern between each voxel and the rest of the brain. In short, the ICC is based on network theory’s degree metric, which represents the number of voxels showing a correlation with each other voxel. Therefore, a whole-brain map is produced wherein the intensity of each voxel reflects the degree to which that voxel is connected to the rest of the brain. In order to avoid the need of an arbitrary correlation threshold, an ICC power map is finally created representing the average r2 connectivity of a given voxel and all the other above threshold voxels, with a greater ICC score representing greater average strength of the correlations in a given voxel. This method of hypothesis-free exploration of connectivity changes has been previously employed by others7, 31,32,33,34,35. Second-level group analysis utilized a 2 × 2 repeated measures design, with “Group” (PF, non-PF) as between-subject factor, further modelling the effect of scanning site, and “Condition” (Pre-flight scan, Post-flight scan) as within-subject factor. To disentangle the effects observed in the PF group as opposed to the effects attributed to scopolamine, a conjunction was carried out between the post-flight decreases in connectivity in the PF as compared to the non-PF group, and the pre-flight compared to post-flight decreases in connectivity in the PF group only, i.e.: [PF > non-PF Pre < Post negative contrast] & [PF Pre < Post negative contrast]. Due to the unbalanced design, two supplementary analyses were performed in order to increase statistical power and ensure validity and interpretation of the results: connectivity analyses with PF participants matched for age and gender to the non-PF group and bootstrapping (Supplementary Material).

As the ICC is an explorative metric which localizes changes in functional connectivity related to the experimental modulations, classic region of interest-based fMRI connectivity analysis on the regions exhibiting changes was performed to understand the networks associated with the identified nodes31. For these seed regions, time-series from the contained voxels were averaged together. This averaged time-series was used to estimate whole-brain correlation r maps, which were then converted to normally distributed Fisher’s z transformed correlation maps to allow for subsequent group-level analysis. Non-parametric permutation tests assessed the distributions of each experimental group or condition.

Results

Questionnaires

Out of the 28 included participants, 24 fulfilled the PANAS, ESS, MSAQ and MISC questionnaires. Data from 4 participants was not assessed due to logistical reasons. Based on the self-reports, participants did not experience severe motion sickness, abnormal positive/negative affect or sleepiness (Table 1). After the PF, there was a decrease in negative affect (PANAS subscale) compared to preflight (Z = −3.99, p < 0.001). For the PANAS positive affect and the ESS, there were no differences. After scopolamine intake, there was a decrease in positive affect (PANAS subscale) compared to pre-scopolamine (Z = −2.606, p = 0.009). No differences were found for the PANAS negative affect subscale and the ESS questionnaire.

Table 1 Subjective ratings on the Positive and Negative Affect Scale, the Epworth Sleepiness questionnaire, Motion Sickness Assessment Questionnaire and Misery Scale scores (mean (SD)).

Connectivity analysis

In terms of motion, four outlier images were detected in the PF group and none in the non-PF group. For the ICC explorative analysis, the main effects of each group at pre- and post-scan are summarized in Fig. 2. For the PF group, between-condition differences were identified in posterior cingulate cortex and right parietal gyrus. For the non-PF group, no post-pre scan differences in ICC connectivity were found (Fig. 3). The interaction analysis revealed that the modification of the connectivity pattern was observed in the right temporo-parietal junction (rTPJ)/angular gyrus (rAG) in the PF group in comparison to the non-PF group, at post-scan as compared to pre-scan assessment (T(38) = −3.32, p < 0.001 FWE cluster-level, permutation testing; cluster size: 260 voxels, peak coordinate x, y, z = [58–64 18]). The rAG was also identified after the conjunction analysis (cluster size: 148 voxels, x, y, z = [57–66 25]; Fig. 3), and the two sub-analyses with the age and gender-matched groups and bootstrapping (Supplementary Material).

Figure 2
figure2

Group-level explorative analysis was performed to localize modifications in global connectivity before and after participation to the parabolic flight (n = 28) and before and after scopolamine intake in the non-parabolic flight group (n = 12). The spatial patterns represent average maps of higher (red) and lower (blue) intrinsic connectivity contrast scores, with a greater score representing greater average strength of the correlations in a given voxel. Statistical maps are rendered on a surface template and are thresholded at cluster-level family wise error rate p < 0.05 (two-sided, permutation testing).

Figure 3
figure3

The hypothesis-free exploration of connectivity changes points to the right angular gyrus/temporo-parietal junction as the region with lower scores on the intrinsic connectivity contract, implying that this region has decreased participation in whole-brain connectivity at post-flight scan. The map represents the results of the conjunction analysis, suggesting that the effect can be attributed to the parabolic flight group as compared to the non-parabolic flight control group. Bars indicate effect sizes (beta values) and error bars 90% CI in the same cluster.

The rAG identified by the interaction analysis was then used as a seed area to perform classic region of interest analysis in order to better comprehend the network associated with the identified node. Both in pre-flight and post-flight scan the encompassed areas showing positive connectivity were located in lateral parietal, superior/middle frontal gyri, superior/middle/inferior temporal gyri as well as mesio-frontal, posterior parietal/precuneal regions and cerebellum. Negative connectivity was identified in bilateral supramarginal gyri/SMA, superior frontal gyri and temporal/temporo-occipital/lateral occipital regions (Fig. 4). Between-condition contrast pointed to fewer negative correlations (anticorrelations) with R supramarginal (SMG; BA 40; 63–24 31) and L supramarginal gyri (SMG; BA 40; −59–31 36) (FWE p < 0.05 cluster-level, permutation testing) at post- compared to pre-flight scan.

Figure 4
figure4

The networks encompassed by the right angular gyrus/temporo-parietal junction in the parabolic flight group. The default mode network (DMN; red) and the DMN anticorrelated regions (blue) were the set of areas that were functionally connected with the right angular gyrus at pre- and post-flight. The between-condition differences in the encompassed networks included fewer anticorrelations with bilateral supramarginal gyri. The statistical maps are rendered on a surface template and have been thresholded at cluster-level family wise error rate p < 0.05 (permutation tests). Bars indicate cluster-level effect sizes (beta values) and error bars 90% CI.

Discussion

The aim of the present study was to assess functional connectivity changes after short-term acute exposure to gravitational alterations. Hereto, we exposed healthy naïve individuals to a PF and measured resting-state fMRI connectivity before and after the exposure to altered gravitational forces. With no a priori assumptions, we found a decrease of the ICC scores in the rTPJ/rAG after the PF. These results suggest the rAG/TPG has reduced participation in whole-brain connectivity after short-term exposure to altered gravity, most possibly related to changes in vestibular function. For instance, in order to maintain gaze stabilization, postural control and spatial orientation, the human brain integrates visual, somatosensory and vestibular input signals36. In the vestibular system, angular accelerations are detected by the semicircular canals, while linear accelerations, and thus gravity, are sensed by the otolith organs (i.e. utriculus and sacculus). Therefore, due to the alterations in gravitational force, the afferent information from the otolith organs is significantly altered. This gives rise to a loss of congruence between visual, proprioceptive and vestibular input and the loss of the otherwise tight coupling of canal-otolith information in the presence of Earth’s gravity. As a result, the vestibular system and its functions are challenged thoroughly.

Previous investigations also suggest that the rAG is involved in the processing and integration of vestibular, visual and proprioceptive input37. For example, inhibition of the right TPJ caused difficulties with the perception of the upright and maintaining an internal representation of verticality38, 39. Also, disruptive TMS to the AG showed that this region mediated the interaction between visuo-proprioceptive weighting and realignment40. Past studies further point to the involvement of the TPJ in timing of interception of an object41. With regards to the effects of gravity, it was found that the attempt to intercept an object accelerated by gravity had a reverse response pattern in weightlessness as compared to normal gravity42, 43. In the same line, an fMRI study, assessing the perception of moving objects according to natural or reversed gravity, found the engagement of the TPJ and insula, suggesting an internalization of gravity in these regions44. Indeed, when a sensory mismatch occurs, e.g. between proprioceptive and visual information, the brain can rearrange the two modalities, by calibrating the modality which receives the lowest weight45. The correlation between the weight of a modality and the extent of calibration during a mismatch was found to be disrupted when TMS temporarily inactivated the AG40. Taken together, these studies suggest an important role of the TPJ in the integration of multisensory modalities for achieving optimal vestibular function. During a PF, there is a constant shift in gravity levels provoking many conflicting sensory signals, such as proprioception10, 46. The latter occurs in combination with visual disturbed impressions when floating upside down during the microgravity phase. This can hamper verticality and perception of self-location47,48,49,50.

Important as the rAG may be for vestibular processing, it is commonly accepted that the human brain does not possess a unique primary vestibular cortex and that vestibular information is processed in a distributed network (e.g. refs 51 and 52). From electrophysiological and tracer studies in primates, as well as neuroimaging studies in humans, we know that the so-called “vestibular cortex” encompasses the TPJ and posterior insula, the somatosensory cortex, the posterior parietal cortex, the anterior insula, and the lateral and medial frontal cortices53. Specifically, the parieto-insular vestibular cortex (PIVC) in primates is considered as the “hot spot” of vestibular processing51, 52 which presumably maps to the parietal operculum (OP2) in humans54. However, the exact location of the human analogue of the PIVC remains controversial51. The fact that this key region was not identified in our analysis can only be speculated. Future hypothesis-driven explorations of the vestibular cortex may shed more light on the preferential contribution of each region to the PF experience.

Interestingly, the TPJ has been considered important for bodily self-consciousness50, 55, i.e., the non-conceptual and pre-reflective processing and representation of body-related information56. With regards to self-location (“where I am in space”), previous studies with patients with epileptic seizures and focal electrical stimulation of the TPJ elicited sensations of body tilt and altered gravity. Interestingly, the AG and TPJ have been reported to be involved in out-of-body experiences, which can be considered as a deficient perception of self-location and self-being, when this area is inactivated or lesioned49, 57,58,59,60,61. Furthermore, reports from people experiencing microgravity (either during a PF or during spaceflight) have elucidated that the absence of gravity can elicit several illusory own-body perceptions, e.g. the inversion illusion (i.e. the feeling of the body being upside-down relative to the extrapersonal space or vice versa)62. Such experience is considered to be the result of a combination of altered gravitational input, a multisensory disintegration and top-down modulation55. Considering the above, it is possible that the here identified reduced rAG connectivity implies the inability to compute and correct the conflicting sensory inputs it receives during microgravity.

Our results also resonate with lesion studies, pointing to the right hemisphere for elaborating an internal model of verticality and controlling body orientation63. For example, patients with Pusher syndrome (a disorder of postural balance that manifests as a pushing away toward the contralesional side in unilateral stroke) were shown to depend predominantly on otolith inputs when they sustained right hemispheric lesions47. This indicates an asymmetrical otolith mechanism, concurrent with a dominance of the right non-dominant hemisphere in processing vestibular cues64. Also, a PET study in patients with a unilateral vestibular neuritis showed that the vestibular graviceptive deficits in these patients (as measured by the deviation on the subjective visual vertical) correlate positively with regional glucose metabolism in the right hemisphere65. This highlights not only the lateralized dominance of the cortical vestibular network, but also the functional dominance in verticality perception and the processing of gravitational cues, resonating with our findings.

We also found decreases in the anticorrelated connectivity between the rAG/rTPJ and bilateral SMG after the flight. Anatomically, the AG and SMG are connected through arcuate (u-shaped) connections within the same hemisphere66. The SMG plays a well-established role in vestibular function, as shown by studies implementing both caloric44, 64, 67,68,69,70 and galvanic vestibular stimulation71, 72. Additionally, the SMG plays a distinct role in the perception of verticality38. Apart from this within-hemispheric connection, there is both a structural and functional interhemispheric connectivity between the AG and SMG73. Interestingly, the rAG is part of the default mode network (DMN) while the SMG are part of a set of areas classically anticorrelating to the DMN74, 75. Such anticorrelated connectivity has been associated with cognitive function76,77,78,79 and seems to mediate the level of consciousness80, 81. In short, stronger anticorrelations are thought to reflect a more effective capacity to switch between internal and external modes of attention82, with a self-related counterpart83. Therefore, the here-identified reductions in the anticorrelations may suggest a reduced ability for self-related monitoring during weightlessness.

It is possible that the observed changes in functional connectivity are due to a discrepancy between the gravitational vertical, as determined by integrated sensory information, and the expected vertical based on previous experience84. Such differences in experienced and expected spatial representations have also been estimated in off-vertical axis rotation85 and tilting train studies86. However, it remains challenging whether the observed effects can be attributed to microgravity, hypergravity or to the general transitions of the gravitational force, which are all induced during PF. With the current setup, we are unable to make specific assumptions as to the origin of the effect. Our control group did not engage in an activity that could mimic the characteristics of the PF, i.e. the alternation between the absence of gravity and the presence of hypergravity. Hence, we could not obtain a highly-controlled environment for the PF participants. Designs controlling for the effect of microgravity and the exposure to hypergravity, which is approximately twice the length of that spent in microgravity, might be able to disentangle between the effects of these two forces in the human brain. Finally, a potential confounder could be the mismatch in the time interval between scopolamine injection and post-scan sessions, which was on average 6 h for the PF group and 3 h for the non-PF group. We believe that this difference in scanning interval does not pose an issue on our analysis. This is because of the low dose of injected scopolamine in the non-PF group (0.175 mg for males, 0.125 mg for females), which was expected to washout after the 3 h interval. Based on a previous study assessing the effect of subcutaneous scopolamine (0.4 mg, 0.6 mg and 0.8 mg) on psychomotor tests, it was shown that scopolamine negatively affected the tests with a peak between 1–2 h after administration; after 3 h, values returned to baseline87. Here, the fact that we did not identify connectivity differences in the non-PF group between the post-pre scans, suggests a satisfactory baseline assessment for the PF group. Other fMRI studies, however, show that scopolamine affects functional connectivity88,89,90,91. In light of the different scanning setup, different dosage and administration type, it seems that results are not conclusive as to the exact affected regions. Also, even with scopolamine, motion sickness during PFs can still be present23, 92. Here, PF participants showed relatively low motion sickness scores. Additionally, they reported decreases in the negative affect as measured on subscale of the PANAS questionnaire after PF. This effect can be related to the fact that participants were generally excited by experiencing weightlessness. At the same time, we found a decrease in positive affect in the control group, which could be possibly related to boredom as reported in a previous study93. These confounds as well as the fact that a PF is associated with high stress levels and increases in stress hormones94,95,96 should be taken into consideration by future investigations.

In conclusion, we found that exposure to short-term acute alterations of gravity induced by a PF led to decreased intrinsic connectivity strength in the rAG/rTPJ, a region known to be involved in multisensory integration, cognitive and spatial tasks. Decreases in short-distance (within-hemisphere) and long-distance (inter-hemispheric) anticorrelations between the rAG/rTPJ and bilateral SMG were further identified. These results are relevant for long-duration spaceflight, as well as for space tourism, where less-trained humans will be exposed to similar and even more extreme gravitational transitions. Taken together, our findings shed light not only on the understanding of how the brain is affected by short-term alteration of gravitational input and the internalization of gravity in the human brain, but are also relevant for the understanding of bodily self-consciousness.

References

  1. 1.

    Clément, G. Fundamentals of Space Medicine. (Springer, 2011).

  2. 2.

    Lackner, J. R. & DiZio, P. Space motion sickness. Experimental Brain Research 175, 377–399 (2006).

    Article  PubMed  Google Scholar 

  3. 3.

    Holstein, G. R., Kukielka, E. & Martinelli, G. P. Anatomical observations of the rat cerebellar nodulus after 24 hr of spaceflight. J. Gravit. Physiol. 6, P47–P50 (1999).

    CAS  PubMed  Google Scholar 

  4. 4.

    Newberg, A. B. Changes in the central nervous system and their clinical correlates during long-term spaceflight. Aviat. Space. Environ. Med. 65, 562–572 (1994).

    CAS  PubMed  Google Scholar 

  5. 5.

    Ross, M. D. A spaceflight study of synaptic plasticity in adult rat vestibular maculas. Acta Otolaryngol. Suppl. 516, 1–14 (1994).

    CAS  PubMed  Google Scholar 

  6. 6.

    Van Ombergen, A. et al. Spaceflight-induced neuroplasticity in humans as measured by MRI: what do we know so far? npj Microgravity 3 (2017).

  7. 7.

    Demertzi, A. et al. Cortical reorganization in an astronaut’ s brain after long-duration spaceflight. Brain Struct. Funct. 221, 2873–2876 (2016).

    Article  PubMed  Google Scholar 

  8. 8.

    Navasiolava, N. M. et al. Long-term dry immersion: Review and prospects. Eur. J. Appl. Physiol. 111, 1235–1260 (2011).

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Pavy-Le Traon, A., Heer, M., Narici, M. V., Rittweger, J. & Vernikos, J. From space to Earth: Advances in human physiology from 20 years of bed rest studies (1986–2006). European Journal of Applied Physiology 101 (2007).

  10. 10.

    Karmali, F. & Shelhamer, M. The dynamics of parabolic flight: Flight characteristics and passenger percepts. Acta Astronaut 63, 594–602 (2008).

    ADS  Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Lv, B., Shao, Q., Chen, Z., Ma, L. & Wu, T. Effects of acute electromagnetic fields exposure on the interhemispheric homotopic functional connectivity during resting state. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2015–Novem, 1813–1816 (2015).

  12. 12.

    Hermans, E., Henckens, M., Jöels, M. & Fernandez, G. Dynamic adaptation of large-scale brain networks in response to acute stressors. Trends Neurosci. 37, 304–314 (2014).

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    van Marle, H., Hermans, E., Qin, S. & Fernandez, G. Enhanced resting-state connectivity of amygdala in the immediate aftermath of acute psychological stress. Neuroimage 53, 348–354 (2010).

    Article  PubMed  Google Scholar 

  14. 14.

    Tagliazucchi, E. et al. Increased Global Functional Connectivity Correlates with LSD-Induced Ego Dissolution. Curr. Biol. 26, 1043–1050 (2016).

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Carhart-Harris, R. L. et al. Neural correlates of the psychedelic state as determined by fMRI studies with psilocybin. Proc. Natl. Acad. Sci. USA 109, 2138–43 (2012).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Lopez, C., Bachofner, C., Mercier, M. & Blanke, O. Gravity and observer’s body orientation influence the visual perception of human body postures. J. Vis. 9(1), 1–14 (2009).

    Article  PubMed  Google Scholar 

  17. 17.

    Lackner, J. R. & DiZio, P. Multisensory, cognitive, and motor influences on human spatial orientation in weightlessness. J Vestib Res 3, 361–372 (1993).

    CAS  PubMed  Google Scholar 

  18. 18.

    Van Ombergen, A. et al. The effect of spaceflight and microgravity on the human brain. J. Neurol. In print (2017).

  19. 19.

    Newberg, A. B. & Alavi, A. Changes in the central nervous system during long-duration space flight: implications for neuro-imaging. Adv. Space Res. 22, 185–196 (1998).

    ADS  CAS  Article  PubMed  Google Scholar 

  20. 20.

    Biswal, B. B., Van Kylen, J. & Hyde, J. S. Simultaneous assessment of flow and BOLD signals in resting-state functional connectivity maps. NMR Biomed. 10, 165–170 (1997).

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Lochner, M. & Thompson, A. J. The muscarinic antagonists scopolamine and atropine are competitive antagonists at 5-HT3 receptors. Neuropharmacology 108, 220–228 (2016).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Wood, C. D., Manno, J. E., Manno, B. R., Odenheimer, R. C. & Bairnsfather, L. E. The effect of antimotion sickness drugs on habituation to motion. Aviat. Sp. Environ. Med 57, 539–542 (1986).

    CAS  Google Scholar 

  23. 23.

    Van Ombergen, A., Lawson, B. D. & Wuyts, F. L. Motion sickness and sopite syndrome associated with parabolic flights: a case report. Int J Audiol 55, 189–94 (2016).

    Article  PubMed  Google Scholar 

  24. 24.

    Johns, M. W. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 14, 540–545 (1991).

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Watson, D., Clark, L. A. & Tellegen, A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Pers. Soc. Psychol. 54, 1063–1070 (1988).

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Gianaros, P. & Muth, E. A questionnaire for the assessment of the multiple dimensions of motion sickness. Aviat. Sp. Environ. Med 72, 115–119 (2001).

    CAS  Google Scholar 

  27. 27.

    Bos, J. E., MacKinnon, S. N. & Patterson, A. Motion sickness symptoms in a ship motion simulator: Effects of inside, outside, and no view. Aviat. Sp. Environ. Med 76, 1111–1118 (2005).

    Google Scholar 

  28. 28.

    Behzadi, Y., Restom, K., Liau, J. & Liu, T. T. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage 37, 90–101 (2007).

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Chai, X. J., Castañán, A. N., Öngür, D. & Whitfield-Gabrieli, S. Anticorrelations in resting state networks without global signal regression. Neuroimage 59, 1420–1428 (2012).

    Article  PubMed  Google Scholar 

  30. 30.

    Raichle, M. The restless brain. Brain Connect 1, 3–12 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Martuzzi, R. et al. A whole-brain voxel based measure of intrinsic connectivity contrast reveals local changes in tissue connectivity with anesthetic without a priori assumptions on thresholds or regions of interest. Neuroimage 58, 1044–1050 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Vatansever, D., Manktelow, A. E., Sahakian, B. J., Menon, D. K. & Stamatakis, E. A. Angular default mode network connectivity across working memory load. Hum. Brain Mapp, doi:10.1002/hbm.23341 (2016).

  33. 33.

    Pravatà, E. et al. Hyperconnectivity of the dorsolateral prefrontal cortex following mental effort in multiple sclerosis patients with cognitive fatigue. Mult. Scler. J, doi:10.1177/1352458515625806 (2016).

  34. 34.

    Muller, A. M., Mérillat, S. & Jäncke, L. Older but still fluent? Insights from the intrinsically active baseline configuration of the aging brain using a data driven graph-theoretical approach. Neuroimage 127, 346–362 (2016).

    Article  PubMed  Google Scholar 

  35. 35.

    Layden, E. A. et al. Perceived social isolation is associated with altered functional connectivity in neural networks associated with tonic alertness and executive control. Neuroimage, doi:10.1016/j.neuroimage.2016.09.050 (2016).

  36. 36.

    Goldberg, J. M. et al. The Vestibular System: A Sixth Sense. The Vestibular System: A Sixth Sense, doi:10.1093/acprof:oso/9780195167085.001.0001 (2012).

  37. 37.

    Besnard, S., Lopez, C., Brandt, T., Denise, P. & Smith, P. F. The Vestibular System in Cognitive and Memory Processes in Mammals. (Frontiers Media SA, 2016).

  38. 38.

    Kheradmand, A., Lasker, A. & Zee, D. S. Transcranial magnetic stimulation (TMS) of the supramarginal gyrus: A window to perception of upright. Cereb. Cortex 25, 765–771 (2015).

    Article  PubMed  Google Scholar 

  39. 39.

    Fiori, F., Candidi, M., Acciarino, A., David, N. & Aglioti, S. M. The right temporo parietal junction plays a causal role in maintaining the internal representation of verticality. J. Neurophysiol. 3, jn.00289.2015 (2015).

    Google Scholar 

  40. 40.

    Block, H., Bastian, A. & Celnik, P. Virtual lesion of angular gyrus disrupts the relationship between visuoproprioceptive weighting and realignment. J. Cogn. Neurosci. 25, 636–48 (2013).

    Article  PubMed  Google Scholar 

  41. 41.

    Bosco, G., Carrozzo, M. & Lacquaniti, F. Contributions of the human temporo-parietal junction and MT/V5+ to the timing of interception revealed by TMS. J Neurosci 28, 12071–12084 (2008).

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    Senot, P., Zago, M., Lacquaniti, F. & McIntyre, J. Anticipating the effects of gravity when intercepting moving objects: differentiating up and down based on nonvisual cues. J. Neurophysiol. 94, 4471–4480 (2005).

    Article  PubMed  Google Scholar 

  43. 43.

    Senot, P. et al. When Up Is Down in 0g: How Gravity Sensing Affects the Timing of Interceptive Actions. J. Neurosci. 32, 1969–1973 (2012).

    CAS  Article  PubMed  Google Scholar 

  44. 44.

    Indovina, I. et al. Representation of visual gravitational motion in the human vestibular cortex. Science (80-.) 208, 416–9 (2005).

    Article  Google Scholar 

  45. 45.

    Block, H. J. & Bastian, A. J. Sensory weighting and realignment: independent compensatory processes. J. Neurophysiol. 106, 59–70 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  46. 46.

    Roll, R. et al. Proprioceptive information processing in weightlessness. Exp. Brain Res. 122, 393–402 (1998).

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Baier, B., Suchan, J., Karnath, H. O. & Dieterich, M. Neural correlates of disturbed perception of verticality. Neurology 78, 728–735 (2012).

    Article  PubMed  Google Scholar 

  48. 48.

    Barra, J. et al. Humans use internal models to construct and update a sense of verticality. Brain a J. Neurol 133, 3552–3563 (2010).

    Article  Google Scholar 

  49. 49.

    Ionta, S. et al. Multisensory Mechanisms in Temporo-Parietal Cortex Support Self-Location and First-Person Perspective. Neuron 70, 363–374 (2011).

    CAS  Article  PubMed  Google Scholar 

  50. 50.

    Pfeiffer, C., Serino, A. & Blanke, O. The vestibular system: a spatial reference for bodily self-consciousness. Frontiers in Integrative Neuroscience 8, 31 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  51. 51.

    Lopez, C., Blanke, O. & Mast, F. The vestibular cortex in the human brain revealed by coordinate-based activation likelihood estimation meta-analysis. Neuroscience 60, 162–169 (2012).

    Google Scholar 

  52. 52.

    Zu Eulenburg, P., Caspers, S., Roski, C. & Eickhoff, S. B. Meta-analytical definition and functional connectivity of the human vestibular cortex. Neuroimage 60, 162–169 (2012).

    CAS  Article  PubMed  Google Scholar 

  53. 53.

    Guldin, W. O. & Grüsser, O. J. Is there a vestibular cortex? Trends in Neurosciences 21, 254–259 (1998).

    CAS  Article  PubMed  Google Scholar 

  54. 54.

    Eickhoff, S., Amunts, K., Mohlberg, H. & Zilles, K. The Human parietal operculum. II. Stereotaxic maps and correlation with functional imaging results. Cereb. Cortex 16, 268–279 (2006).

    Article  PubMed  Google Scholar 

  55. 55.

    Blanke, O. Multisensory brain mechanisms of bodily self-consciousness. Nat. Rev. Neurosci. 13, 556–71 (2012).

    CAS  PubMed  Google Scholar 

  56. 56.

    Gallagher, S. Philosophical conceptions of the self: Implications for cognitive science. Trends in Cognitive Sciences 4, 14–21 (2000).

    CAS  Article  PubMed  Google Scholar 

  57. 57.

    Isnard, J., Guénot, M., Sindou, M. & Mauguière, F. Clinical Manifestations of Insular Lobe Seizures: A Stereo‐electroencephalographic Study. Epilepsia 45, 1079–1090 (2004).

    Article  PubMed  Google Scholar 

  58. 58.

    Nguyen, D. K. et al. Revisiting the role of the insula in refractory partial epilepsy. Epilepsia 50, 510–520 (2009).

    Article  PubMed  Google Scholar 

  59. 59.

    Heydrich, L., Lopez, C., Seeck, M. & Blanke, O. Partial and full own-body illusions of epileptic origin in a child with right temporoparietal epilepsy. Epilepsy Behav. 20, 583–586 (2011).

    Article  PubMed  Google Scholar 

  60. 60.

    Blanke, O., Ortigue, S., Landis, T. & Seeck, M. Stimulating illusory own-body perceptions. Nature 419, 269–270 (2002).

    ADS  CAS  Article  PubMed  Google Scholar 

  61. 61.

    De Ridder, D., Van Laere, K., Dupont, P., Menovsky, T. & Van de Heyning, P. Visualizing out-of-body experience in the brain. N. Engl. J. Med. 357, 1829–1833 (2007).

    Article  PubMed  Google Scholar 

  62. 62.

    Graybiel, A. & Kellogg, R. The inversion illusion in parabolic flight: its probable dependence on otolith function. Aerosp. Med 38, 1099–1103 (1967).

    CAS  PubMed  Google Scholar 

  63. 63.

    Pérennou, D. A. et al. Lateropulsion, pushing and verticality perception in hemisphere stroke: A causal relationship? Brain 131, 2401–2413 (2008).

    Article  PubMed  Google Scholar 

  64. 64.

    Dieterich, M. et al. Dominance for vestibular cortical function in the non-dominant hemisphere. Cereb. Cortex 13, 994–1007 (2003).

    CAS  Article  PubMed  Google Scholar 

  65. 65.

    Bense, S. et al. Metabolic changes in vestibular and visual cortices in acute vestibular neuritis. Ann. Neurol. 56, 624–630 (2004).

    Article  PubMed  Google Scholar 

  66. 66.

    Lee, H. et al. Anatomical traces of vocabulary acquisition in the adolescent brain. J Neurosci 27, 1184–9 (2007).

    CAS  Article  PubMed  Google Scholar 

  67. 67.

    Bottini, G. et al. Identification of the central vestibular projections in man: a positron emission tomography activation study. Exp. Brain Res. 99, 164–169 (1994).

    CAS  Article  PubMed  Google Scholar 

  68. 68.

    Vitte, E. et al. Activation of the hippocampal formation by vestibular stimulation: a functional magnetic resonance imaging study. Exp. Brain Res. 112, 523–6 (1996).

    CAS  Article  PubMed  Google Scholar 

  69. 69.

    Suzuki, M. et al. Cortical and subcortical vestibular response to caloric stimulation detected by functional magnetic resonance imaging. Cogn. Brain Res. 12, 441–449 (2001).

    CAS  Article  Google Scholar 

  70. 70.

    Deutschländer, A. et al. Sensory system interactions during simultaneous vestibular and visual stimulation in PET. Hum. Brain Mapp. 16, 92–103 (2002).

    Article  PubMed  Google Scholar 

  71. 71.

    Bense, S., Stephan, T., Yousry, T. a., Brandt, T. & Dieterich, M. Multisensory cortical signal increases and decreases during vestibular galvanic stimulation (fMRI). J. Neurophysiol. 85, 886–899 (2001).

  72. 72.

    Stephan, T. et al. Functional MRI of galvanic vestibular stimulation with alternating currents at different frequencies. Neuroimage 26, 721–732 (2005).

    Article  PubMed  Google Scholar 

  73. 73.

    Uddin, L. Q. et al. Dissociable connectivity within human angular gyrus and intraparietal sulcus: Evidence from functional and structural connectivity. Cereb. Cortex 20, 2636–2646 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  74. 74.

    Fox, M. D. et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks (2005).

  75. 75.

    Fransson, P. Spontaneous low-frequency BOLD signal fluctuations: An fMRI investigation of the resting-state default mode of brain function hypothesis. Hum. Brain Mapp. 26, 15–29 (2005).

    Article  PubMed  Google Scholar 

  76. 76.

    Whitfield-Gabrieli, S. et al. Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia. Proc. Natl. Acad. Sci. USA 106, 1279–84 (2009).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  77. 77.

    Vanhaudenhuyse, A. et al. Two distinct neuronal networks mediate the awareness of environment and of self. J. Cogn. Neurosci 23, 570–578 (2011).

    Article  PubMed  Google Scholar 

  78. 78.

    Demertzi, A., Soddu, A., Faymonville, M., Bahri, M. A. & Gosseries, O. Hypnotic modulation of resting state fMRI default mode and extrinsic network connectivity. Slow Brain Oscillations of Sleep Resting State and Vigilance 193, (Elsevier B. V., 2011).

  79. 79.

    Keller, J. B. et al. Resting-state anticorrelations between medial and lateral prefrontal cortex: Association with working memory, aging, and individual differences. Cortex 64, 271–280 (2015).

    Article  PubMed  Google Scholar 

  80. 80.

    Di Perri, C. et al. Neural correlates of consciousness in patients who have emerged from a minimally conscious state: A cross-sectional multimodal imaging study. Lancet Neurol. 15, 830–42 (2016).

    Article  PubMed  Google Scholar 

  81. 81.

    Demertzi, A., Soddu, A. & Laureys, S. Consciousness supporting networks. Curr Opin Neurobiol 23, 239–244 (2013).

    CAS  Article  PubMed  Google Scholar 

  82. 82.

    Demertzi, A. & Whitfield-Gabrieli, S. In The Neurology of Conciousness 95–105 (Elsevier, 2016), doi:10.1016/B978-0-12-800948-2.00006-6.

  83. 83.

    Demertzi, A. et al. Looking for the self in pathological unconsciousness. Front. Hum. Neurosci. 7, 1–6 (2013).

    Article  Google Scholar 

  84. 84.

    Bos, J. E. & Bles, W. Modelling motion sickness and subjective vertical mismatch detailed for vertical motions. Brain Res. Bull. 47, 537–542 (1998).

    CAS  Article  PubMed  Google Scholar 

  85. 85.

    Denise, P., Darlot, C., Droulez, J., Cohen, B. & Berthoz, A. Motion perceptions induced by off-vertical axis rotation (OVAR) at small angles of tilt. Exp Brain Res 73, 106–114 (1988).

    CAS  Article  PubMed  Google Scholar 

  86. 86.

    Neimer, J., Eskiizmirliler, S., Dominey-Ventre, J. & Darlot, C. Trains with a view to sickness. Curr Biol 11, R549–R550 (2001).

    CAS  Article  PubMed  Google Scholar 

  87. 87.

    Ebert, U., Siepmann, M., Oertel, R., Wesnes, K. A. & Kirch, W. Pharmacokinetics and pharmacodynamics of scopolamine after subcutaneous administration. J. Clin. Pharmacol. 38, 720–726 (1998).

    CAS  Article  PubMed  Google Scholar 

  88. 88.

    Sperling, R. et al. Functional MRI detection of pharmacologically induced memory impairment. Proc Natl Acad Sci USA 99, 455–460 (2002).

    ADS  CAS  Article  PubMed  Google Scholar 

  89. 89.

    Schon, K. et al. Scopolamine reduces persistent activity related to long-term encoding in the parahippocampal gyrus during delayed matching in humans. J. Neurosci. 25, 9112–23 (2005).

    CAS  Article  PubMed  Google Scholar 

  90. 90.

    Voss, B. et al. Cholinergic blockade under working memory demands encountered by increased rehearsal strategies: Evidence from fMRI in healthy subjects. Eur. Arch. Psychiatry Clin. Neurosci. 262, 329–339 (2012).

    Article  PubMed  Google Scholar 

  91. 91.

    Shah, D. et al. Acute modulation of the cholinergic system in the mouse brain detected by pharmacological resting-state functional MRI. Neuroimage 109, 151–159 (2015).

    CAS  Article  PubMed  Google Scholar 

  92. 92.

    Lackner, J. R. Motion sickness: More than nausea and vomiting. Experimental Brain Research 232, 2493–2510 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  93. 93.

    Alda, M. et al. Validation of the Spanish version of the Multidimensional State Boredom Scale (MSBS). Health Qual. Life Outcomes 13, 59 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  94. 94.

    Schneider, S. et al. Parabolic flight experience is related to increased release of stress hormones. Eur. J. Appl. Physiol. 100, 301–308 (2007).

    ADS  CAS  Article  PubMed  Google Scholar 

  95. 95.

    Schneider, S. et al. The effect of parabolic flight on perceived physical, motivational and psychological state in men and women: correlation with neuroendocrine stress parameters and electrocortical activity. Stress 12, 336–349 (2009).

    Article  PubMed  Google Scholar 

  96. 96.

    Strewe, C. et al. Effects of parabolic flight and spaceflight on the endocannabinoid system in humans. Rev. Neurosci. 23, 673–680 (2012).

    CAS  Article  PubMed  Google Scholar 

Download references

Acknowledgements

We wish to express our gratitude to the staff of CHU Pellegrin Department of Radiology for their participation in this study and their flexibility and effort. We also wish to thank Vladimir Pletser (Chinese Academy of Sciences, former ESA), Alexandra Jaquemet (Novespace), Fréderic Gai (Novespace) & Pierre Denise (University of Caen) for their assistance and expertise in the preparation of the parabolic flight campaigns. Also, we would like to thank Dr. Enzo Tagliazucchi (Institut du Cerveau et de la Moelle Epinière – ICM, Paris, France) and Federico Raimondo, MSc (Department of Computer Science, University of Buenos Aires, Argentina) for methods consultation and code sharing. This work was supported by the European Space Agency (ESA) and BELSPO Prodex, the University and University Hospital of Antwerp, the University and University Hospital of Liège, the French Speaking Community Concerted Research Action, the Research Foundation Flanders (FWO Vlaanderen) the Belgian National Funds for Scientific Research (FRS-FNRS), the Wallonie-Bruxelles International, the James McDonnell Foundation, IAP research network P7/06 of the Belgian Government (Belgian Science Policy), the European Commission, the Public Utility Foundation ‘Université Européenne du Travail’, “Fondazione Europea di Ricerca Biomedica”, the Bial Foundation, the Human Brain Project (EU-H2020-FETFLAGSHIP-HBP-SGA1-GA720270) and the LUMINOUS project (EU-H2020-FETOPEN-GA686764). A.V.O. is a Research Fellow of the Research Foundation Flanders (Belgium, FWO Vlaanderen), B.J. is Postdoctoral Fellow at FWO Vlaanderen, A.D. is Postdoctoral Fellow at FRS-FNRS, S.L. is Research Director at FRS-FNRS.

Author information

Affiliations

Authors

Contributions

A.V.O., F.W., B.J., J.S., P.M.P., S.S., P.H.V.D.H., S.L. and A.D. contributed to the conception and design of the study. A.V.O., F.W., B.J., S.J., F.V. and V.D. collected data for the study. A.V.O., F.W., S.L. and A.D. are responsible for data analysis and wrote the main manuscript. All authors interpreted the data and reviewed and approved the manuscript.

Corresponding author

Correspondence to Floris L. Wuyts.

Ethics declarations

Competing Interests

The authors declare that they have no competing interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Van Ombergen, A., Wuyts, F.L., Jeurissen, B. et al. Intrinsic functional connectivity reduces after first-time exposure to short-term gravitational alterations induced by parabolic flight. Sci Rep 7, 3061 (2017). https://doi.org/10.1038/s41598-017-03170-5

Download citation

Further reading

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing