Task Progress:
|
During the second project year, Aim 1a results were submitted to Frontiers in Physiology, Aim 1b results were presented at the Human Research Program Investigators' Workshop (IWS) 2024, Aim 2 Phase 1 was completed, and Aim 2 Phase 2 and Aim 3 are underway.
Aim 2 This aim seeks to map performance in a proposed set of sensorimotor assessment tasks with performance in operational analog tasks. Validation of the proposed set of sensorimotor assessment tasks will ultimately down select the task set to those that meet the following criteria: 1) have a strong correlation between performance in the sensorimotor assessment tasks with operational analog tasks, and 2) elicit distinct performance groupings across varying levels of sensorimotor disorientation. Aim 2 is the first validation study in the overall project. The deliverable from this aim is to 1) provide an initial performance prediction model between the sensorimotor assessment tasks and operational analog tasks, and 2) define performance thresholds across a range of sensorimotor disorientation. The model generated from Aim 2 will be further refined utilizing data from Aims 3 and 4. Therefore, it is important to ensure the model is generalizable to new data.
In discussions with the Flight Operations Directorate, feedback from a Technical Interchange Meeting sponsored by the Human Research Program (HRP) Health Human Countermeasures Element, and lessons learned from Apollo Missions, the proposed set of sensorimotor assessment tasks was developed to include the following parameters: 1) mimic body maneuvers such as reaching, bending over, etc., such that crew can self-assess their potential ability to complete operational tasks; 2) provide opportunities to develop strategies to recover from off-nominal body positions; and 3) aid in progressive adaptation to the novel gravitational environment. Operational logistic constraints included: 1) tasks should be completable within a limited space and within the various Human Lander System (HLS) configurations, and 2) complete tasks with minimal to no hardware mass utilizing the available HLS configurations. The sensorimotor assessment tasks were defined and completed in the following order, starting from the least vestibularly provocative movements: postural challenge task, step test (Eymir et al., 2022; Feld et al., 2022; Hong et al., 2012; Mercer et al., 2009), fall recovery task from prone and supine, four square step test (Dite and Temple, 2002; Whitney et al., 2007), an obstacle turn task required 180- and 90-degree turns, kneel-and-turn task, and an augmented reality full body eye-hand coordination task simulating an EVA geological sampling task.
Aim 2 utilized high-fidelity operational analog tasks that were developed to simulate top-hatch capsule egress and early exploration EVA (Egress Fitness, PI: Norcross).
A total of 21 subjects completed Aim 2 Phase 1. Subjects attended two sessions separated by a minimum of 1 day. The first session provided familiarization to the sensorimotor assessment tasks and operational analog tasks and then baseline data were collected. The second session completed the assessment and operational tasks under two levels of sensorimotor disorientation: 1) high-level replicating crewmember immediate postflight performance (R+0), and 2) low-level replicating R+1 when crewmembers are within the recovery phase yet still have slight sensorimotor disorientation. To achieve these levels of disorientation, the validated Sensorimotor Disorientation Analog (SDA) was used (Moudy et al., 2023; Moudy et al., 2024). The SDA is comprised of galvanic vestibular stimulation simulating vestibular disruption (high: peaks reach 3mA, low: peak reach 2mA) and a weighted suit at the chest and distally at the ankles and wrists simulating proprioceptive deconditioning and subjective heaviness (high: 30% added bodyweight, low: 15% bodyweight). A cross-balanced approach was used where half of the subjects experienced the high level first followed by the low level and vice versa for the other half of subjects.
An interim analysis was conducted on the initial sample population of 21 subjects to assess the R-squared value and determine whether the planned sample size was appropriate to achieve a high precision efficiency (PE). PE refers to the ability of a sample-derived prediction equation to extrapolate to future samples (i.e., generalizability), with higher numbers indicating better extrapolation. Mixed linear models were conducted for two operational performance measures individually, which yielded R-squared values of 0.47 (operational task: time to complete capsule egress) and 0.83 (operational task: number of bag passes during EVA traversal task). These values indicated a sufficient level to achieve a high PE. The sample size calculation based on a number of predictors, effect size, and PE indicated a required sample size of 37 to achieve a PE of 0.8, assuming 2 predictors in the model (SDA level and one assessment task) and an R-squared value of 0.47.
The interim analysis secondarily assessed if distinct performance groupings existed across the SDA levels. A repeated measures ANOVA was conducted. All ANOVA tests, except for the time to complete the task board, were significant, indicating that at least two of the groups had different means. Paired t-tests were performed to compare any two groups. These data were also used to conduct a secondary sample size estimation. For the operational capsule egress task, assuming a mean difference of 5 and a standard deviation of 10 to detect a one-side paired difference between groups, a sample size of 38 would be needed to achieve 80% power at an alpha level of 0.0167 (0.05/3). A smaller sample size would be needed if we calculate it based on summary statistics of other variables.
Based on the interim analysis recommendations, an additional 16 subjects (a total of 37 needed minus initial 21) were required to achieve a precision efficiency (PE) of 0.8. Data collection is ongoing for 20 additional subjects (total N: 41 subjects) to allow for any dropouts (conservative 25% attrition rate) to meet sample size estimations required to develop a generalizable prediction model. This Aim 2 Phase 2 is expected to be completed in May 2024. An additional analysis will be completed again to confirm whether we have met the required sample size given the additional datasets.
A second finding of this analysis was the inability of the simulated EVA task board portion to measure relevant sensorimotor changes in performance. No significant differences were found between SDA levels for this task and correlation values to the sensorimotor assessment tasks were weak (Pearson r = 0.35). This was not unexpected as the task has an inherent stabilizing feature where subjects hold onto the umbilicals and task board to complete the task. A light touch has been shown previously to provide enough stabilizing support to compensate for vestibular disruptions (Baldan et al., 2014). As such, and in preparation for future aims where the transportability of operational analog tasks is critical, data collection for the additional 20 subjects is being conducted using updated operational analog tasks. The operational analog tasks include the same simulated capsule egress, and an alternative simulated EVA traversal that replicates the key physiological requirements as the original EVA traversal task.
Aim 3 Similar to Aim 2, Aim 3 is focused on mapping the relationship between performance in the sensorimotor assessment tasks to performance in the operational analog tasks under varying levels of sensorimotor disorientation. Aim 3 will induce sensorimotor disorientation through sustained hypergravity centrifugation which drives vestibular adaptive changes similar to G-transitional effects following spaceflight (Albery and Martin, 1996; Bles et al., 1989; Groen et al., 2008; Nooij et al., 2007). The centrifuge exposure parameters are based largely on the protocol established by Groen and TNO colleagues in Soesterberg, The Netherlands. Based on their work, the optimal exposure is +3Gx for 60 min (Bles et al., 1997; Nooij and Bos, 2007). Data collection will occur at the KBR Aerospace Environment Protection Lab (AEPL) located in San Antonio, TX. The KBR AEPL centrifuge has a free-swinging gondola at the end of the long arm, resulting in a constant alignment of the gravito-inertial force with the gondola. The subject will be oriented in a supine position in the gondola (feet pointing in the direction of motion) so the resultant force vector is in the naso-occipital direction to minimize orthostatic stress. Although the centrifuge is capable of fast G-onset for performance jet training, our profile will utilize a moderate 0.1 G/s acceleration and deceleration rate.
Subjects will attend two sessions separate by a minimum of one day. The first session will be to familiarize the subjects with the tasks and complete a short 5-minute centrifuge exposure to minimize biases toward prior exposure. The centrifuge profile used in this study is unique to the AEPL facility and subject pool, therefore, we do not expect any data skew due to prior exposure. The second session will be the test session to include pre-exposure baseline data collection, followed by a sustained 60-minute exposure, and two post-centrifuge tests separated by 45 minutes. The test session was developed such that the post-centrifuge tests mimic the two postflight time points and SDA levels (R+0/high, R+1/low) from Aims 1 and 2.
References
Albery, W. B., & Martin, E. T. (1996). Development of space motion sickness in a ground-based human centrifuge. Acta Astronautica, 38(9), 721-731.
Baldan, A., Alouche, S., Araujo, I., & Freitas, S. (2014). Effect of light touch on postural sway in individuals with balance problems: a systematic review. Gait & Posture, 40(1), 1-10. Bles, W., Bos, E., Furrer, R., de Graaf, B., Hosman, R. J. A. W., Kortschot, H. W., Krol, J. R., Kuipers, A., Marcus, J. T., Messerschmid, E., Ockels, W. J., Oosterveld, W. J., Smit, J., Wertheim, A. H., & Wientjes, C. J. E. (1989). Space adaptation syndrome induced by a long duration +3Gx centrifuge run (IZF 1989-25).
Bles, W., de Graaf, B., Bos, J. E., Groen, E., & Krol, J. R. (1997). A sustained hyper-g load as a tool to simulate space sickness. Journal of gravitational physiology: a journal of the International Society for Gravitational Physiology, 4(2), P1-4.
Dite, W., & Temple, V. A. (2002). A clinical test of stepping and change of direction to identify multiple falling older adults. Archives of Physical Medicine and Rehabilitation, 83(11), 1566-1571.
Eymir, M., Yuksel, E., Unver, B., & Karatosun, V. (2022). Reliability, validity, and minimal detectable change of the Step Test in patients with total knee arthroplasty. Irish Journal of Medical Science (1971-), 1-6.
Feld, J. A., Goode, A. P., Mercer, V. S., & Plummer, P. (2022). Utility of an obstacle-crossing test to classify future fallers and non-fallers at hospital discharge after stroke: a pilot study. Gait & Posture, 96, 179-184.
Groen, E. L., Nooij, S. A., & Bos, J. E. (2008, June 22-27, 2008). Ground-based research on vestibular adaptation to g-level transitions. Life in Space for Life on Earth, Angers, France.
Hong, S.-J., Goh, E. Y., Chua, S. Y., & Ng, S. S. (2012). Reliability and validity of step test scores in subjects with chronic stroke. Archives of Physical Medicine and Rehabilitation, 93(6), 1065-1071.
Mercer, V. S., Freburger, J. K., Chang, S.-H., & Purser, J. L. (2009). Step test scores are related to measures of activity and participation in the first 6 months after stroke. Physical Therapy, 89(10), 1061-1071.
Moudy, S., Peters, B., Clark, T., Schubert, M., Bishop, M., Young, M., & Wood, S. (2023). Development of a Sensorimotor Ground Analog from Astronaut Postflight Experience. 2023 NASA Human Research Program Investigators’ Workshop.
Moudy, S., Peters, B., Clark, T., Schubert, M., De Dios, Y., Bollinger, A., & Wood, S. (2024). Validation of A Sensorimotor Disorientation Ground Analog. HRP IWS, Nooij, S. A., Bos, J., Groen, E., Bles, W., & Ockels, W. (2007). Space sickness on earth. Microgravity Sci Technol, 19(5-6), 113-117. Nooij, S. A., & Bos, J. E. (2007). Sickness induced by head movements after different centrifugal G x-loads and durations. Journal of Vestibular Research, 17(5-6), 323-332.
Reschke, M. F., Clément, G. R., Thorson, S. L., Mader, T. H., Dudley, A. M., Wood, S. J., Bloomberg, J. J., Mulavara, A. P., Gibson, C. R., & Williams, D. (2016). Neurology. In A. E. Nicogossian, R. S. Williams, C. L. Huntoon, C. R. Doarn, J. D. Polk, & V. S. Schneider (Eds.), Space Physiology and Medicine (4th ed., pp. 245-282). Springer.
Thuro, A., & Stirling, L. (2021). Characterization of the Apollo Astronaut Lunar Extravehicular Activity Falls and Near-Falls 2021 IEEE Aerospace Conference (50100).
Whitney, S. L., Marchetti, G. F., Morris, L. O., & Sparto, P. J. (2007). The reliability and validity of the Four Square Step Test for people with balance deficits secondary to a vestibular disorder. Archives of Physical Medicine and Rehabilitation, 88(1), 99-104.
|