Investigating Sea-Level Brain Predictors for Acute Mountain Sickness: A Multimodal MRI Study before and after High-Altitude Exposure

References

1. 1.↵
   1. Luks AM,
   2. Swenson ER,
   3. Bärtsch P

   . Acute high-altitude sickness. Eur Respir Rev 2017;26:160096 doi:10.1183/16000617.0096-2016 pmid:28143879

   Abstract/FREE Full Text
2. 2.↵
   1. Bärtsch P,
   2. Swenson ER

   . Acute high-altitude illnesses. N Engl J Med 2013;368:2294–302 doi:10.1056/NEJMcp1214870 pmid:23758234

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Luks AM,
   2. Hackett PH

   . Medical conditions and high-altitude travel. N Engl J Med 2022;386:364–73 doi:10.1056/NEJMra2104829 pmid:35081281

   CrossRefPubMed
4. 4.↵
   1. Canoui-Poitrine F,
   2. Veerabudun K,
   3. Larmignat P, et al

   . Risk prediction score for severe high altitude illness: a cohort study. PLos One 2014;9:e100642 doi:10.1371/journal.pone.0100642 pmid:25068815

   CrossRefPubMed
5. 5.↵
   1. Burtscher M,
   2. Flatz M,
   3. Faulhaber M

   . Prediction of susceptibility to acute mountain sickness by Sa(O2) values during short-term exposure to hypoxia. High Alt Med Biol 2004;5:335–40 doi:10.1089/1527029042002817 pmid:15453999

   CrossRefPubMedWeb of Science
6. 6.↵
   1. Cochand NJ,
   2. Wild M,
   3. Brugniaux JV, et al

   . Sea-level assessment of dynamic cerebral autoregulation predicts susceptibility to acute mountain sickness at high altitude. Stroke 2011;42:3628–30 doi:10.1161/STROKEAHA.111.621714 pmid:21960569

   Abstract/FREE Full Text
7. 7.↵
   1. Faulhaber M,
   2. Wille M,
   3. Gatterer H, et al

   . Resting arterial oxygen saturation and breathing frequency as predictors for acute mountain sickness development: a prospective cohort study. Sleep Breath 2014;18:669–74 doi:10.1007/s11325-013-0932-2 pmid:24436093

   CrossRefPubMed
8. 8.↵
   1. Karinen HM,
   2. Peltonen JE,
   3. Kahonen M, et al

   . Prediction of acute mountain sickness by monitoring arterial oxygen saturation during ascent. High Alt Med Biol 2010;11:325–32 doi:10.1089/ham.2009.1060 pmid:21190501

   CrossRefPubMedWeb of Science
9. 9.↵
   1. Karinen HM,
   2. Uusitalo A,
   3. Vaha-Ypya H, et al

   . Heart rate variability changes at 2400 m altitude predicts acute mountain sickness on further ascent at 3000-4300 m altitudes. Front Physiol 2012;3:336 doi:10.3389/fphys.2012.00336 pmid:22969727

   CrossRefPubMed
10. 10.↵
    1. Mandolesi G,
    2. Avancini G,
    3. Bartesaghi M, et al

    . Long-term monitoring of oxygen saturation at altitude can be useful in predicting the subsequent development of moderate-to-severe acute mountain sickness. Wilderness Environ Med 2014;25:384–91 doi:10.1016/j.wem.2014.04.015 pmid:25027753

    CrossRefPubMed
11. 11.↵
    1. Modesti PA,
    2. Rapi S,
    3. Paniccia R, et al

    . Index measured at an intermediate altitude to predict impending acute mountain sickness. Med Sci Sports Exerc 2011;43:1811–18 doi:10.1249/MSS.0b013e31821b55df pmid:21448078

    CrossRefPubMedWeb of Science
12. 12.↵
    1. Shen Y,
    2. Yang YQ,
    3. Liu C, et al

    . Association between physiological responses after exercise at low altitude and acute mountain sickness upon ascent is sex-dependent. Mil Med Res 2020;7:53 doi:10.1186/s40779-020-00283-3 pmid:33148321

    CrossRefPubMed
13. 13.↵
    1. MacInnis MJ,
    2. Lohse KR,
    3. Strong JK, et al

    . Is previous history a reliable predictor for acute mountain sickness susceptibility? A meta-analysis of diagnostic accuracy. Br J Sports Med 2015;49:69–75 doi:10.1136/bjsports-2013-092921 pmid:24297836

    Abstract/FREE Full Text
14. 14.↵
    1. Chen HC,
    2. Lin WL,
    3. Wu JY, et al

    . Change in oxygen saturation does not predict acute mountain sickness on Jade Mountain. Wilderness Environ Med 2012;23:122–27 doi:10.1016/j.wem.2012.03.014 pmid:22656657

    CrossRefPubMed
15. 15.↵
    1. Small E,
    2. Juul N,
    3. Pomeranz D, et al

    . Predictive capacity of pulmonary function tests for acute mountain sickness. High Alt Med Biol 2021;22:193–200 doi:10.1089/ham.2020.0150 pmid:33601996

    CrossRefPubMed
16. 16.↵
    1. Wagner DR,
    2. Knott JR,
    3. Fry JP

    . Oximetry fails to predict acute mountain sickness or summit success during a rapid ascent to 5640 meters. Wilderness Environ Med 2012;23:114–21 doi:10.1016/j.wem.2012.02.015 pmid:22656656

    CrossRefPubMed
17. 17.↵
    1. Millet GP,
    2. Faiss R,
    3. Pialoux V

    . Point: hypobaric hypoxia induces different physiological responses from normobaric hypoxia. J Appl Physiol (1985) 2012;112:1783–84 doi:10.1152/japplphysiol.00067.2012 pmid:22267386

    CrossRefPubMed
18. 18.↵
    1. Meier D,
    2. Collet TH,
    3. Locatelli I, et al

    . Does this patient have acute mountain sickness?: the rational clinical examination systematic review. JAMA 2017;318:1810–19 doi:10.1001/jama.2017.16192 pmid:29136449

    CrossRefPubMed
19. 19.↵
    1. Lawley JS,
    2. Alperin N,
    3. Bagci AM, et al

    . Normobaric hypoxia and symptoms of acute mountain sickness: elevated brain volume and intracranial hypertension. Ann Neurol 2014;75:890–98 doi:10.1002/ana.24171 pmid:24788400

    CrossRefPubMed
20. 20.↵
    1. Zhou Y,
    2. Huang X,
    3. Zhao T, et al

    . Hypoxia augments LPS-induced inflammation and triggers high altitude cerebral edema in mice. Brain Behav Immun 2017;64:266–75 doi:10.1016/j.bbi.2017.04.013 pmid:28433745

    CrossRefPubMed
21. 21.↵
    1. Storz JF,
    2. Scott GR

    . Life ascending: mechanism and process in physiological adaptation to high-altitude hypoxia. Annu Rev Ecol Evol Syst 2019;50:503–26 doi:10.1146/annurev-ecolsys-110218-025014 pmid:33033467

    CrossRefPubMed
22. 22.↵
    1. Zhang X,
    2. Zhang J

    . The human brain in a high-altitude natural environment: a review. Front Hum Neurosci 2022;16:915995 doi:10.3389/fnhum.2022.915995 pmid:36188182

    CrossRefPubMed
23. 23.↵
    1. Dhar P,
    2. Sharma VK,
    3. Das SK, et al

    . Differential responses of autonomic function in sea level residents, acclimatized lowlanders at >3500 m and Himalayan high altitude natives at >3500 m: a cross-sectional study. Respir Physiol Neurobiol 2018;254:40–48 doi:10.1016/j.resp.2018.04.002 pmid:29649580

    CrossRefPubMed
24. 24.↵
    1. Sander M

    . Does the sympathetic nervous system adapt to chronic altitude exposure? Adv Exp Med Biol 2016;903:375–93 doi:10.1007/978-1-4899-7678-9_25 pmid:27343109

    CrossRefPubMed
25. 25.↵
    1. Wilson MH

    . Monro-Kellie 2.0: The dynamic vascular and venous pathophysiological components of intracranial pressure. J Cereb Blood Flow Metab 2016;36:1338–50 doi:10.1177/0271678X16648711 pmid:27174995

    CrossRefPubMed
26. 26.↵
    1. Wei W,
    2. Wang X,
    3. Gong Q, et al

    . Cortical thickness of Native Tibetans in the Qinghai-Tibetan Plateau. AJNR Am J Neuroradiol 2017;38:553–60 doi:10.3174/ajnr.A5050 pmid:28104637

    Abstract/FREE Full Text
27. 27.↵
    1. Benson JC,
    2. Madhavan AA,
    3. Cutsforth-Gregory JK, et al

    . The Monro-Kellie Doctrine: a review and call for revision. AJNR Am J Neuroradiol 2023;44:2–6 doi:10.3174/ajnr.A7721 pmid:36456084

    Abstract/FREE Full Text
28. 28.↵
    1. Fan C,
    2. Zhao Y,
    3. Yu Q, et al

    . Reversible brain abnormalities in people without signs of mountain sickness during high-altitude exposure. Sci Rep 2016;6:33596 doi:10.1038/srep33596 pmid:27633944

    CrossRefPubMed
29. 29.↵
    1. Hunt JS,
    2. Theilmann RJ,
    3. Smith ZM, et al

    . Cerebral diffusion and T-2: MRI predictors of acute mountain sickness during sustained high-altitude hypoxia. J Cereb Blood Flow Metab 2013;33:372–80 doi:10.1038/jcbfm.2012.184 pmid:23211961

    CrossRefPubMed
30. 30.↵
    1. Roach RC,
    2. Hackett PH,
    3. Oelz O, et al

    ; Lake Louise AMS Score Consensus Committee. The 2018 Lake Louise Acute Mountain Sickness Score. High Alt Med Biol 2018;19:4–6 doi:10.1089/ham.2017.0164 pmid:29583031

    CrossRefPubMed
31. 31.↵
    1. Rolls ET,
    2. Huang CC,
    3. Lin CP, et al

    . Automated anatomical labelling atlas 3. Neuroimage 2020;206:116189 doi:10.1016/j.neuroimage.2019.116189 pmid:31521825

    CrossRefPubMed
32. 32.↵
    1. Desikan RS,
    2. Segonne F,
    3. Fischl B, et al

    . An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 2006;31:968–80 doi:10.1016/j.neuroimage.2006.01.021 pmid:16530430

    CrossRefPubMedWeb of Science
33. 33.↵
    1. Tibshirani R

    . Regression shrinkage and selection via the Lasso. Journal of the Royal Statistical Society: Series B (Methodological) 1996;58:267–88 doi:10.1111/j.2517-6161.1996.tb02080.x

    CrossRefPubMedWeb of Science
34. 34.↵
    1. Fawcett T

    . An introduction to ROC analysis. Pattern Recognition Letters 2006;27:861–74. Accessed December 26, 2023 doi:10.1016/j.patrec.2005.10.010

    CrossRefWeb of Science
35. 35.↵
    1. Jeni LA,
    2. Cohn JF,
    3. De La Torre F

    . Facing imbalanced data recommendations for the use of performance metrics. Int Conf Affect Comput Intell Interact Workshops 2013;2013:245–51 doi:10.1109/ACII.2013.47 pmid:25574450

    CrossRefPubMed
36. 36.↵
    1. Wang L,
    2. Han M,
    3. Li X, et al

    . Review of classification methods on unbalanced data sets. IEEE Access 2021;9:64606–28. Accessed December 25, 2023 doi:10.1109/ACCESS.2021.3074243

    CrossRef
37. 37.↵
    1. Thomas Yeo BT,
    2. Krienen FM,
    3. Sepulcre J, et al

    . The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol 2011;106:1125–65 doi:10.1152/jn.00338.2011 pmid:21653723

    CrossRefPubMedWeb of Science
38. 38.↵
    1. Flach PA,
    2. Wu S

    . Repairing concavities in ROC curves. Internattional Joint Conference on Artificial Intelligence 2005:702–07. https://www.academia.edu/download/35346892/2000402.pdf. Accessed December 26, 2023
39. 39.↵
    1. Zou QH,
    2. Zhu CZ,
    3. Yang Y, et al

    . An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF. J Neurosci Methods 2008;172:137–41 doi:10.1016/j.jneumeth.2008.04.012 pmid:18501969

    CrossRefPubMedWeb of Science
40. 40.↵
    1. Zuo XN,
    2. Ehmke R,
    3. Mennes M, et al

    . Network centrality in the human functional connectome. Cereb Cortex 2012;22:1862–75 doi:10.1093/cercor/bhr269 pmid:21968567

    CrossRefPubMedWeb of Science
41. 41.↵
    1. Legros A,
    2. Marshall HR,
    3. Beuter A, et al

    . Effects of acute hypoxia on postural and kinetic tremor. Eur J Appl Physiol [ Physiol 2010;110:109–19 doi:10.1007/s00421-010-1475-x pmid:20414673

    CrossRefPubMed
42. 42.↵
    1. Kline DD

    . Chronic intermittent hypoxia affects integration of sensory input by neurons in the nucleus tractus solitarii. Respir Physiol Neurobiol 2010;174:29–36 doi:10.1016/j.resp.2010.04.015 pmid:20416405

    CrossRefPubMed
43. 43.↵
    1. LaManna JC,
    2. Vendel LM,
    3. Farrell RM

    . Brain adaptation to chronic hypobaric hypoxia in rats. J Appl Physiol (1985) 1992;72:2238–43 doi:10.1152/jappl.1992.72.6.2238 pmid:1629078

    CrossRefPubMedWeb of Science
44. 44.↵
    1. Quairiaux C,
    2. Sizonenko SV,
    3. Mégevand P, et al

    . Functional deficit and recovery of developing sensorimotor networks following neonatal hypoxic–ischemic injury in the rat. Cereb Cortex 2010;20:2080–91 doi:10.1093/cercor/bhp281 pmid:20051355

    CrossRefPubMedWeb of Science
45. 45.↵
    1. Wang Y,
    2. Wang Y,
    3. Hua G, et al

    . Changes of functional brain network in neonates with different degrees of hypoxic-ischemic encephalopathy. Brain Connect 2023;13:427–35 doi:10.1089/brain.2022.0073 pmid:37279260

    CrossRefPubMed
46. 46.↵
    1. Jiang L,
    2. El-Metwally D,
    3. Sours Rhodes C, et al

    . Alterations in motor functional connectivity in neonatal hypoxic ischemic encephalopathy. Brain Inj 2022;36:287–94 doi:10.1080/02699052.2022.2034041 pmid:35113755

    CrossRefPubMed
47. 47.↵
    1. Peng W,
    2. Jia Z,
    3. Huang X, et al

    . Brain structural abnormalities in emotional regulation and sensory processing regions associated with anxious depression. Prog Neuropsychopharmacol Biol Psychiatry 2019;94:109676 doi:10.1016/j.pnpbp.2019.109676 pmid:31226395

    CrossRefPubMed
48. 48.↵
    1. Kessner SS,
    2. Schlemm E,
    3. Gerloff C, et al

    . Grey and white matter network disruption is associated with sensory deficits after stroke. Neuroimage Clin 2021;31:102698 doi:10.1016/j.nicl.2021.102698 pmid:34023668

    CrossRefPubMed
49. 49.↵
    1. Williams SD,
    2. Setzer B,
    3. Fultz NE, et al

    . Neural activity induced by sensory stimulation can drive large-scale cerebrospinal fluid flow during wakefulness in humans. PLoS Biol 2023;21:e300203 doi:10.1371/journal.pbio.3002035 pmid:36996009

    CrossRefPubMed
50. 50.↵
    1. Gay CW,
    2. Robinson ME,
    3. Lai S, et al

    . Abnormal resting-state functional connectivity in patients with chronic fatigue syndrome: results of seed and data-driven analyses. Brain Connect 2016;6:48–56 doi:10.1089/brain.2015.0366 pmid:26449441

    CrossRefPubMed
51. 51.↵
    1. Betzel RF,
    2. Satterthwaite TD,
    3. Gold JI, et al

    . Positive affect, surprise, and fatigue are correlates of network flexibility. Sci Rep 2017;7:520 doi:10.1038/s41598-017-00425-z pmid:28364117

    CrossRefPubMed
52. 52.↵
    1. Schommer K,
    2. Wiesegart N,
    3. Menold E, et al

    . Training in normobaric hypoxia and its effects on acute mountain sickness after rapid ascent to 4559 m. High Alt Med Biol 2010;11:19–25 doi:10.1089/ham.2009.1019 pmid:20367484

    CrossRefPubMedWeb of Science
53. 53.↵
    1. Trumbower RD,
    2. Jayaraman A,
    3. Mitchell GS, et al

    . Exposure to acute intermittent hypoxia augments somatic motor function in humans with incomplete spinal cord injury. Neurorehabil Neural Repair 2012;26:163–72 doi:10.1177/1545968311412055 pmid:21821826

    CrossRefPubMedWeb of Science