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•Ainslie PN, Subudhi AW. Cerebral blood flow at high altitude. High Alt Med Biol 2014; 15: 133–40. •Lawley JS, Macdonald JH, Oliver SJ, et al. Unexpected reductions in regional cerebral perfusion during prolonged hypoxia. J Physiol 2017; 595: 935–947. •Noth U, Kotajima F, Deichman R, et al. Mapping of the cerebral vascular response to hypoxia and hypercapnia using quantitative perfusion MRI at 3 T. NMR Biomed 2008; 21: 464–472. •Binks AP, Cunningham VJ, Adams L, et al. Gray matter blood flow change is unevenly distributed during moderate isocapnic hypoxia in humans. J Appl Physiol 2008; 104: 212–217. •Mintun MA, Lundstrom BN, Snyder AZ, et al. Blood flow and oxygen delivery to human brain during functional activity: theoretical modeling and experimental data. Proc Natl Acad Sci U S A 2001; 98: 6859–6864. •Tuunanen PI, Vidyasagar R, Kauppinen RA. Effects of mild hypoxic hypoxia on poststimulus undershoot of blood-oxygenation-level-dependent fMRI signal in the human visual cortex. Magn Reson Imaging 2006; 24: 993–999. •Barreto FR, Mangia S, Garrido Salmon CE. Effects of reduced oxygen availability on the vascular response and oxygen consumption of the activated human visual cortex. J Magn Reson Imaging 2017; 46: 142–149. •Raichle ME, MacLeod AM, Snyder AZ, et al. A default mode of brain function. Proc Natl Acad Sci U S A 2001; 98: 676–682. •Vestergaard MB, Larsson HBW. Cerebral metabolism and vascular reactivity during breath-hold and hypoxic challenge in freedivers and healthy controls. J Cereb Blood Flow Metab 2019; 39: 834–848. •Smith ZM, Krizay E, Guo J, et al. Sustained high-altitude hypoxia increases cerebral oxygen metabolism. J Appl Physiol 2013; 114: 11–8. •Vestergaard MB, Lindberg U, Aachmann-Andersen NJ, et al. Acute hypoxia increases the cerebral metabolic rate-a magnetic resonance imaging study. J Cereb Blood Flow Metab 2016; 36: 1046–1058. •Sicard KM, Duong TQ. Effects of hypoxia, hyperoxia, and hypercapnia on baseline and stimulus-evoked BOLD, CBF, and CMRO2 in spontaneously breathing animals. Neuroimage 2005; 25: 850–858. •Sumiyoshi A, Suzuki H, Shimokawa H, et al. Neurovascular uncoupling under mild hypoxic hypoxia: an EEG–fMRI study in rats. J Cereb Blood Flow Metab 2012; 32: 1853–1858. •Hamzei F, Knab R, Weiller C, et al. The influence of extra-and intracranial artery disease on the BOLD signal in FMRI. Neuroimage 2003; 20: 1393–1399. •Hinzman JM, Andaluz N, Shutter LA, et al. Inverse neurovascular coupling to cortical spreading depolarizations in severe brain trauma. Brain 2014; 137: 2960–2972. •Sestieri C, Shulman GL, Corbetta M. Attention to memory and the environment: functional specialization and dynamic competition in human posterior parietal cortex. J Neurosci 2010; 30: 8445–56. •Pasley BN, Inglis BA, Freeman RD. Analysis of oxygen metabolism implies a neural origin for the negative BOLD response in human visual cortex. Neuroimage 2007; 36: 269–276. •Borchers HW. pracma: Practical Numerical Math Functions. R package version 2.1.4, https://cran.r-project.org/package=pracma (2018). •Brainard DH. The Psychophysics Toolbox. Spat Vis 1997; 10: 433–436. •Pelli DG. The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spat Vis 1997; 10: 437–442. •Rossion B, Pourtois G. Revisiting Snodgrass and Vanderwart’s object pictorial set: the role of surface detail in basic-level object recognition. Perception 2004; 33: 217–236. •Smith SM. Fast robust automated brain extraction. Hum Brain Mapp 2002; 17: 143–155. •Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001; 20: 45–57. •Chappell MA, Groves AR, Whitcher B, et al. Variational bayesian inference for a nonlinear forward model. IEEE Trans Signal Process 2009; 57: 223–236. •Lu H, Clingman C, Golay X, et al. Determining the longitudinal relaxation time (T1) of blood at 3.0 Tesla. Magn Reson Med 2004; 52: 679–682. •Harrison MF, Anderson P, Miller A, et al. Physiological variables associated with the development of acute mountain sickness at the South Pole. BMJ Open 2013; 3: 1–8. •Mazziotta J, Toga A, Evans A, et al. A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Philos Trans R Soc London B Biol Sci 2001; 356: 1293–1322. •Winkler AM, Ridgway GR, Webster MA, et al. Permutation inference for the general linear model. Neuroimage 2014; 92: 381–397. •Woolrich MW, Ripley BD, Brady M, et al. Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage 2001; 14: 1370–1386. •Woolrich MW, Behrens TEJ, Beckmann CF, et al. Multilevel linear modelling for FMRI group analysis using Bayesian inference. Neuroimage 2004; 21: 1732–1747. •Maumet C, Nichols TE. Generating and reporting peak and cluster tables for voxel-wise inference in FSL. Res Ideas Outcomes 2017; 3: e12368. •Buckner RL, Krienen FM, Castellanos A, et al. The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol 2011; 106: 2322–2345. •Choi EY, Yeo BTT, Buckner RL. The organization of the human striatum estimated by intrinsic functional connectivity. J Neurophysiol 2012; 108: 2242–2263. •Yeo BTT, Krienen FM, Sepulcre J, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol 2011; 106: 1125–1165. •Sestieri C, Corbetta M, Romani GL, et al. Episodic memory retrieval, parietal cortex, and the default mode network: functional and topographic analyses. J Neurosci 2011; 31: 4407–4420. •Shulman GL, McAvoy MP, Cowan MC, et al. Quantitative analysis of attention and detection signals during visual search. J Neurophysiol 2003; 90: 3384–3397. •Dunham-Snary KJ, Wu D, Sykes EA, et al. Hypoxic pulmonary vasoconstriction: from molecular mechanisms to medicine. Chest 2017; 151: 181–192. •Lumb AB, Slinger P. Hypoxic pulmonary vasoconstriction: physiology and anesthetic implications. Anesthesiology 2015; 122: 932–946. •Swenson ER. Hypoxic pulmonary vasoconstriction. High Alt Med Biol 2013; 14: 101–110. •Raichle ME. The brain’s default mode network. Annu Rev Neurosci 2015; 38: 433–447. •Hayes DJ, Huxtable AG. Interpreting deactivations in neuroimaging. Front Psychol 2012; 3: 27. •Shmuel A, Augath M, Oeltermann A, et al. Negative functional MRI response correlates with decreases in neuronal activity in monkey visual area V1. Nat Neurosci 2006; 9: 569–577. •Shmuel A, Yacoub E, Pfeuffer J, et al. Sustained negative BOLD, blood flow and oxygen consumption response and its coupling to the positive response in the human brain. Neuron 2002; 36: 1195–1210. •Hoge RD, Atkinson J, Gill B, et al. Investigation of BOLD signal dependence on CBF and CMRO2: The deoxyhemoglobin dilution model. Neuroimage 1999; 9: 849–863. •Zappe AC, Uludaǧ K, Logothetis NK. Direct measurement of oxygen extraction with fMRI using 6% CO2 inhalation. Magn Reson Imaging 2008; 26: 961–967. •Siero JCW, Hartkamp NS, Donahue MJ, et al. Neuronal activation induced BOLD and CBF responses upon acetazolamide administration in patients with steno-occlusive artery disease. Neuroimage 2015; 105: 276–285. •Kozberg MG, Chen BR, Deleo SE, et al. Resolving the transition from negative to positive blood oxygen level-dependent responses in the developing brain. Proc Natl Acad Sci U S A 2013; 110: 4380–4385. •Yamada H, Sadato N, Konishi Y, et al. A milestone for normal development of the infantile brain detected by functional MRI. Neurology 2000; 55: 218–223. •Born AP, Rostrup E, Miranda MJ, et al. Visual cortex reactivity in sedated children examined with perfusion MRI (FAIR). Magn Reson Imaging 2002; 20: 199–205. •Lacoste B, Gu C. Control of cerebrovascular patterning by neural activity during postnatal development. Mech Dev 2015; 138: 43–49. •Pritchard J, Rothman D, Novotny E, et al. Lactate rise detected by 1H NMR in human visual cortex during physiologic stimulation. Proc Natl Acad Sci U S A 1991; 88: 5829–5831. •Iadecola C. The neurovascular unit coming of age: a journey through neurovascular coupling in health and disease. Neuron Rev 2017; 96: 17–42. •Pascual O, Denavit‐Saubié M, Dumas S, et al. Selective cardiorespiratory and catecholaminergic areas express the hypoxia-inducible factor-1α (HIF-1α) under in vivo hypoxia in the rat brainstem. Eur J Neurosci 2002; 14: 1981–1991. •Prabhakar NR, Jacono FJ. Cellular and molecular mechanisms associated with carotid body adaptations to chronic hypoxia. High Alt Med Biol 2005; 6: 112–120. •Powell FL, Fu Z. Hif-1 and ventilatory acclimatization to chronic hypoxia. Respir Physiol Neurobiol 2008; 164: 282–287. •Flueck M. Plasticity of the muscle proteome to exercise at altitude. High Alt Med Biol 2009; 10: 183–193. •Noth U, Kotajima F, Deichmann R, et al. Mapping of the cerebral vascular response to hypoxia and hypercapnia using quantitative perfusion MRI at 3T. NMR Biomed 2007; 21: 464–472. •Vaishnavi SN, Vlassenko AG, Rundle MM, et al. Regional aerobic glycolysis in the human brain. Proc Natl Acad Sci 2010; 107: 17757–17762. •Iadecola C. Neurovascular regulation in the normal brain and in Alzheimer’s Disease. Nat Rev Neurosci 2004; 5: 347–360. •Benzinger TLS, Blazey T, Jack CR, et al. Regional variability of imaging biomarkers in autosomal dominant Alzheimer’s disease. Proc Natl Acad Sci U S A 2013; 110: E4502–E4509. •Langbaum JBS, Chen K, Caselli RJ, et al. Hypometabolism in AD-affected brain regions in cognitively healthy latino individuals carrying the APOE4 ε4 allele. Arch Neurol 2010; 67: 462–468. •Ni L, Jiqiu Wen M, Jiang Zhang L, et al. Aberrant default-mode functional connectivity in patients with end-stage renal disease: a resting-state functional MR Imaging study. Radiology 2014; 271: 543–552. •Sweeney MD, Kisler K, Montagne A, et al. The role of brain vasculature in neurodegenerative disorders. Nat Neurosci 2018; 21: 1318–1331. •Abraini JH, Bouquet C, Joulia F, et al. Cognitive performance during a simulated climb of Mount Everest: Implications for brain function and central adaptive processes under chronic hypoxic stress. Pflugers Arch Eur J Physiol 1998; 436: 553–559. •Gao YX, Li P, Jiang CH, et al. Psychological and cognitive impairment of long-term migrators to high altitudes and the relationship to physiological and biochemical changes. Eur J Neurol 2015; 22: 1363–1369. •Rimoldi SF, Rexhaj E, Duplain H, et al. Acute and chronic altitude-induced cognitive dysfunction in children and adolescents. J Pediatr 2016; 169: 238–243. •Scullin MK. Do older adults need sleep? A review of neuroimaging, sleep, and aging studies. Curr Sleep Med Reports 2017; 3: 2014–214. •McKinnon AC, Duffy SL, Cross NE, et al. Functional connectivity in the default mode network is reduced in association with nocturnal awakening in ild cognitive impairment. J Alzheimer’s Dis 2017; 56: 1373–1384. •Weil J V. Sleep at high altitude. High Alt Med Biol 2004; 5: 180–189.