Regional Cerebrovascular Reactivity and Cognitive Performance in Healthy Aging

Sarah J Catchlove, Todd B Parrish, Yufen Chen, Helen Macpherson, Matthew E Hughes, Andrew Pipingas, Sarah J Catchlove, Todd B Parrish, Yufen Chen, Helen Macpherson, Matthew E Hughes, Andrew Pipingas

Abstract

Cerebrovascular reactivity (CVR) reflects the response of brain blood vessels to vasoactive stimuli, such as neural activity. The current research assessed age-related changes in regional CVR to 5% CO2 inhalation in younger (n = 30, range: 21-45 years) and older (n = 29, range: 55-75 years) adults, and the contribution of regional CVR to cognitive performance using blood-oxygen-level dependent contrast imaging (BOLD) functional magnetic resonance imaging (fMRI) at 3T field strength. CVR was measured by inducing hypercapnia using a block-design paradigm under physiological monitoring. Memory and attention were assessed with a comprehensive computerized aging battery. MRI data analysis was conducted using MATLAB® and SPM12. Memory and attention performance was positively associated with CVR in the temporal cortices. Temporal lobe CVR influenced memory performance independently of age, gender, and education level. When analyzing age groups separately, CVR in the hippocampus contributed significantly to memory score in the older group and was also related to subjective memory complaints. No associations between CVR and cognition were observed in younger adults. Vascular responsiveness in the brain has consequences for cognition in cognitively healthy people. These findings may inform other areas of research concerned with vaso-protective approaches for prevention or treatment of neurocognitive decline.

Keywords: Cerebrovascular reactivity; cognition; healthy aging; magnetic resonance imaging (MRI); memory.

Conflict of interest statement

Declaration of conflicting interests:The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Percentage change in etCO2 and BOLD signal in the temporal lobe ROI in response to the hypercapnic challenge. Each marker on the x-axis represents 3 seconds (1 TR). BOLD traces have been shifted to the right-young by 9 seconds (3 TR), and older by 18 seconds (6 TR), which yielded the maximum cross-correlation between etCO2 and BOLD signals for this ROI. Lines representing younger and older adults are displayed in different colors. Shaded area indicates the hypercapnia period. The etCO2 data points extracted for CVR analysis are indicated by the black lines below the x-axis. To calculate CVR, BOLD data points were extracted and averaged across a 30 second period during hypercapnia and final 30 seconds of the baseline period preceding gas-inhalation separately by group (66-96 seconds after the CO2-inhalation began in the younger group and 72-102 seconds in the older group). After aligning the signals at the maximum cross-correlation, the time from the gas-inhalation onset to 50% of the maximum BOLD signal change was calculated for each group for the temporal lobe ROI, younger 47 seconds, and older 51 seconds, though an independent-samples t-test showed that these differences were not significant (P = .52).
Figure 2.
Figure 2.
Regional CVR values for younger and older adults. Mean cerebrovascular reactivity values for ROIs averaged across groups. GM grey matter. All ROIS were bilateral, masked with a grey matter mask with a 50% probability threshold. **P < .01.
Figure 3.
Figure 3.
Scatterplot showing the relationship between CVR in the temporal lobes and memory reaction times for the entire sample. Data for younger and older groups are shown in different colors. Black line indicates trend for whole sample data. An adjusted linear regression analysis showed the temporal lobe CVR predicted memory score independent of age, gender and education (P < .01).
Figure 4.
Figure 4.
Experimental design of the hypercapnia scans. 5% CO2 inhalation was used to induce hypercapnia. Blue line indicates the period where baseline etCO2 data were collected, orange line indicates the period where hypercapnia etCO2 data was collected. The BOLD data points were extracted from the average point of maximum signal change across all ROIs to the 30 seconds preceding. This equated to the sampled BOLD data points during the hypercapnia period being selected from 66 to 96 seconds after CO2 switched on in the younger group, and 72-102 seconds after CO2 switched on in the older group.
Figure 5.
Figure 5.
Breathing apparatus (a) 100 L Douglas bag, (b) 3-way valve, (c) 2-way non-rebreathing valve, (d) nose-clip, (e) filter (gas-sampling tube attaches here, not shown), and (f) mouth-piece.
Figure 6.
Figure 6.
MRI slice positioning and brain regions of interest (ROIs) (A) sagittal view, (B) coronal view, and (C) ROIs included the bilateral parietal, occipital, frontal, temporal, insula, hippocampus and cingulum.

References

    1. Girouard H, Iadecola C. Neurovascular coupling in the normal brain and in hypertension, stroke, and Alzheimer disease. J Appl Physiol. 2006;100:328–335.
    1. Gorelick PB, Scuteri A, Black SE, et al. Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2011;42:2672–2713.
    1. Iadecola C. Neurovascular regulation in the normal brain and in Alzheimer’s disease. Nat Rev Neurosci. 2004;5:347–360.
    1. Iadecola C. The overlap between neurodegenerative and vascular factors in the pathogenesis of dementia. Acta Neuropathol. 2010;120:287–296.
    1. Pipingas A, Harris E, Tournier E, et al. Assessing the efficacy of nutraceutical interventions on cognitive functioning in the elderly. Curr Topic Nutraceut Res. 2010;8:79–87.
    1. Pase M, Herbert A, Grima N, et al. Arterial stiffness as a cause of cognitive decline and dementia: a systematic review and meta-analysis. Intern Med J. 2012;42:808–815.
    1. Yezhuvath US, Lewis-Amezcua K, Varghese R, et al. On the assessment of cerebrovascular reactivity using hypercapnia BOLD MRI. NMR Biome. 2009;22:779–786.
    1. Pase MP, Pipingas A, Kras M, et al. Healthy middle-aged individuals are vulnerable to cognitive deficits as a result of increased arterial stiffness. J Hypertens. 2010;28:1724–1729.
    1. Farkas E, Luiten PG. Cerebral microvascular pathology in aging and Alzheimer’s disease. Prog Neurobiol. 2001;64:575–611.
    1. Deanfield JE, Halcox JP, Rabelink TJ. Endothelial function and dysfunction: testing and clinical relevance. Circulation. 2007;115:1285–1295.
    1. Faraci FM, Heistad DD. Regulation of large cerebral arteries and cerebral microvascular pressure. Circ Res. 1990;66:8–17.
    1. Lu H, Cheng Y, Hebrank A, et al. Differential patterns of age-related changes in cerebral blood flow and cerebrovascular reactivity across the lifespan. Proc Intl Soc Mag Reson Med; 2009;17: 677.
    1. Markus H, Cullinane M. Severely impaired cerebrovascular reactivity predicts stroke and TIA risk in patients with carotid artery stenosis and occlusion. Brain. 2001;124:457–467.
    1. Glodzik L, Randall C, Rusinek H, et al. Cerebrovascular reactivity to carbon dioxide in Alzheimer’s disease. J Alzheimers Dis. 2013;35:427–440.
    1. Cantin S, Villien M, Moreaud O, et al. Impaired cerebral vasoreactivity to CO2 in Alzheimer’s disease using BOLD fMRI. Neuroimage. 2011;58:579–587.
    1. Gao Y-Z, Zhang J-J, Liu H, et al. Regional cerebral blood flow and cerebrovascular reactivity in Alzheimers disease and vascular dementia assessed by arterial spin labeling magnetic resonance imaging. Curr Neurovasc Res. 2013;10:49–53.
    1. Richiardi J, Monsch AU, Haas T, et al. Altered cerebrovascular reactivity velocity in mild cognitive impairment and Alzheimer’s disease. Neurobiol Aging. 2015;36:33–41.
    1. 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.
    1. Chiarelli PA, Bulte DP, Wise R, et al. A calibration method for quantitative BOLD fMRI based on hyperoxia. Neuroimage. 2007;37:808–820.
    1. Liu YJ, Juan CJ, Chen CY, et al. Are the local blood oxygen level-dependent (BOLD) signals caused by neural stimulation response dependent on global BOLD signals induced by hypercapnia in the functional MR imaging experiment? experiments of long-duration hypercapnia and multilevel carbon dioxide concentration. AJNR. 2007;28:1009–1014.
    1. Rostrup E, Law I, Blinkenberg M, et al. Regional differences in the CBF and BOLD responses to hypercapnia: a combined PET and fMRI study. Neuroimage. 2000;11:87–97.
    1. Liu YJ, Zhu X, Feinberg D, et al. Arterial spin labeling MRI study of age and gender effects on brain perfusion hemodynamics. Magn Reson Med. 2012;68:912–922.
    1. van der Zande FH, Hofman PA, Backes WH. Mapping hypercapnia-induced cerebrovascular reactivity using BOLD MRI. Neuroradiology. 2005;47:114–120.
    1. Fierstra J, Sobczyk O, Battisti-Charbonney A, et al. Measuring cerebrovascular reactivity: what stimulus to use? J Physiol 2013;591:5809–5821.
    1. Bhogal A, Siero JC, Fisher JA, et al. Investigating the non-linearity of the BOLD cerebrovascular reactivity response to targeted hypo/hypercapnia at 7T. Neuroimage; 2014;98:296–305.
    1. Tancredi FB, Hoge RD. Comparison of cerebral vascular reactivity measures obtained using breath-holding and CO2 inhalation. J Cereb Blood Flow Metab. 2013;33:1066–1074.
    1. Wise RG, Pattinson KT, Bulte DP, et al. Dynamic forcing of end-tidal carbon dioxide and oxygen applied to functional magnetic resonance imaging. J Cereb Blood Flow Metab. 2007;27:1521–1532.
    1. Heun R, Knappertz PA, Krämer G. Vasomotor reactivity in dementia of Alzheimer type. Int J Geriatr Psychiatry. 1994;9:913–918.
    1. Desjardins M. Vascular correlates of aging in the brain: evidence from imaging data. IRBM. 2015;36:158–165.
    1. Kalaria RN. Cerebral vessels in ageing and Alzheimer’s disease. Pharmacol Ther. 1996;72:193–214.
    1. Ito H, Kanno I, Ibaraki M, et al. Effect of aging on cerebral vascular response to Paco2 changes in humans as measured by positron emission tomography. J Cereb Blood Flow Metab. 2002;22:997–1003.
    1. Lu H, Xu F, Rodrigue KM, et al. Alterations in cerebral metabolic rate and blood supply across the adult lifespan. Cereb Cortex. 2011;21:1426–1434.
    1. D’Esposito M, Deouell LY, Gazzaley A. Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging. Nat Rev Neurosci. 2003;4:863–872.
    1. Reich T, Rusinek H. Cerebral cortical and white matter reactivity to carbon dioxide. Stroke. 1989;20:453–457.
    1. Tsuda Y, Hartmann A. Changes in hyperfrontality of cerebral blood flow and carbon dioxide reactivity with age. Stroke. 1989;20:1667–1673.
    1. Yamaguchi F, Meyer JS, Sakai F, et al. Normal human aging and cerebral vasoconstrictive responses to hypocapnia. J Neurol Sci. 1979;44:87–94.
    1. Yamamoto M, Meyer JS, Sakai F, et al. Aging and cerebral vasodilator responses to hypercarbia: responses in normal aging and in persons with risk factors for stroke. Arch Neurol. 1980;37:489–496.
    1. Barnes JN, Schmidt JE, Nicholson WT, et al. Cyclooxygenase inhibition abolishes age-related differences in cerebral vasodilator responses to hypercapnia. J Appl Physiol. 1985;112:1884–1890.
    1. Flück D, Beaudin AE, Steinback CD, et al. Effects of aging on the association between cerebrovascular responses to visual stimulation, hypercapnia and arterial stiffness. Front Physiol; 2014;5:49.
    1. Zhu Y-S, Tarumi T, Tseng BY, et al. Cerebral vasomotor reactivity during hypo- and hypercapnia in sedentary elderly and Masters athletes. J Cereb Blood Flow Metab. 2013;33:1190–1196.
    1. Davis SM, Ackerman RH, Correia JA, et al. Cerebral blood flow and cerebrovascular CO2 reactivity in stroke-age normal controls. Neurology 1983;33:391–399.
    1. Murrell CJ, Cotter JD, Thomas KN, et al. Cerebral blood flow and cerebrovascular reactivity at rest and during sub-maximal exercise: effect of age and 12-week exercise training. Age (Dordr) 2013;35:905–920.
    1. Novak V. Cognition and hemodynamics. Curr Cardiovasc Risk Rep. 2012;6:380–396.
    1. Lu H, Liu P, Yezhuvath U, et al. MRI mapping of cerebrovascular reactivity via gas inhalation challenges. J Visual Exper. 2014.
    1. Kastrup A, Krüger G, Glover GH, et al. Regional variability of cerebral blood oxygenation response to hypercapnia. Neuroimage. 1999;10:675–681.
    1. Zhao P, Alsop D, Abduljalil A, et al. Vasoreactivity and peri-infarct hyperintensities in stroke. Neurology. 2009;72:643–649.
    1. Kearney-Schwartz A, Rossignol P, Bracard S, et al. Vascular structure and function is correlated to cognitive performance and white matter hyperintensities in older hypertensive patients with subjective memory complaints. Stroke 2009;40:1229–1236.
    1. Raz N, Rodrigue KM, Kennedy KM, et al. Vascular health and longitudinal changes in brain and cognition in middle-aged and older adults. Neuropsychology. 2007;21:149–157.
    1. De la Torre JC. The vascular hypothesis of Alzheimer’s disease: bench to bedside and beyond. Neurodegen Dis. 2010;7:116–121.
    1. O’Rourke MF, Safar ME. Relationship between aortic stiffening and microvascular disease in brain and kidney: cause and logic of therapy. Hypertension. 2005;46:200–204.
    1. Silvestrini M, Pasqualetti P, Baruffaldi R, et al. Cerebrovascular reactivity and cognitive decline in patients with Alzheimer disease. Stroke. 2006;37:1010–1015.
    1. Lee S-T, Jung K-H, Lee Y-S. Decreased vasomotor reactivity in Alzheimer’s disease. J Clin Neurol. 2007;3:18–23.
    1. Viticchi G, Falsetti L, Vernieri F, et al. Vascular predictors of cognitive decline in patients with mild cognitive impairment. Neurobiol Aging. 2012;33:1127.e1–1127.e9.
    1. Haratz S, Weinstein G, Molshazki N, et al. Impaired cerebral hemodynamics and cognitive performance in patients with atherothrombotic disease. J Alzheimers Dis. 2015;46:137–144.
    1. Leoni RF, Mazzeto-Betti KC, Andrade KC, et al. Quantitative evaluation of hemodynamic response after hypercapnia among different brain territories by fMRI. Neuroimage. 2008;41:1192–1198.
    1. Vicenzini E, Ricciardi MC, Altieri M, et al. Cerebrovascular reactivity in degenerative and vascular dementia: a transcranial Doppler study. Eur Neurol. 2007;58:84–89.
    1. Glodzik L, Rusinek H, Brys M, et al. Framingham cardiovascular risk profile correlates with impaired hippocampal and cortical vasoreactivity to hypercapnia. J Cereb Blood Flow Metab. 2011;31:671–679.
    1. Erickson KI, Voss MW, Prakash RS, et al. Exercise training increases size of hippocampus and improves memory. Proc Nat Acad Sci. 2011;108:3017–3022.
    1. Heo S, Prakash RS, Voss MW, et al. Resting hippocampal blood flow, spatial memory and aging. Brain Res. 2010;1315:119–127.
    1. Schacter DL, Savage CR, Alpert NM, et al. The role of hippocampus and frontal cortex in age- related memory changes: a PET study. Neuroreport. 1996;7:1165–1169.
    1. van der Flier WM, van Buchem MA, Weverling-Rijnsburger AWE, et al. Memory complaints in patients with normal cognition are associated with smaller hippocampal volumes. J Neurol. 2004;251:671–675.
    1. Jorm AF, Masaki KH, Davis DG, et al. Memory complaints in nondemented men predict future pathologic diagnosis of Alzheimer disease. Neurology. 2004;63:1960–1961.
    1. Jonker C, Geerlings MI, Schmand B. Are memory complaints predictive for dementia? a review of clinical and population-based studies. Int J Geriatr Psychiatry. 2000;15:983–991.
    1. De la Torre JC. Cardiovascular risk factors promote brain hypoperfusion leading to cognitive decline and dementia. Cardiovasc Psychiatry Neurol. 2012;2012:367516.
    1. De la Torre J. Is Alzheimer’s disease preceded by neurodegeneration or cerebral hypoperfusion? Ann Neurol. 2005;57:783–784.
    1. Fisher JA. The CO2 stimulus for cerebrovascular reactivity: fixing inspired concentrations vs. targeting end-tidal partial pressures. J Cereb Blood Flow Metab. 2016;36:1004–1011.
    1. Catchlove SJ, Pipingas A, Hughes ME, et al. Magnetic resonance imaging for assessment of cerebrovascular reactivity and its relationship to cognition: a systematic review. BMC Neurosci. 2018;19:21.
    1. de Jager CA, Budge MM, Clarke R. Utility of TICS-M for the assessment of cognitive function in older adults. Int J Geriatr Psychiatry. 2003;18:318–324.
    1. Crook TH, Feher EP, Larrabee GJ. Assessment of memory complaint in age-associated memory impairment: the MAC-Q. Int Psychogeriatr. 1992;4:165–176.
    1. Wong EC, Buxton RB, Frank LR. Implementation of quantitative perfusion imaging techniques for functional brain mapping using pulsed arterial spin labeling. NMR Biomed. 1997;10:237–249.
    1. Chen Y, Parrish TB. Caffeine’s effects on cerebrovascular reactivity and coupling between cerebral blood flow and oxygen metabolism. Neuroimage. 2009;44:647–652.
    1. Luh W, Wong E, Bandettini P, et al. QUIPSS II with thin-slice TI1 periodic saturation (Q2TIPS): a method for improving accuracy of quantitative perfusion imaging. Paper presented at: Proceedings of the ISMRM 6th Annual Meeting, Sydney, NSW, Auatralia, 1998, p. 1191.
    1. Maldjian JA, Laurienti PJ, Kraft RA, et al. An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage. 2003;19:1233–1239.
    1. Pipingas A, Silberstein RB, Vitetta L, et al. Improved cognitive performance after dietary supplementation with a Pinus radiata bark extract formulation. Phytother Res. 2008;22:1168–1167.
    1. Scholey AB, Sünram-Lea SI, Greer J, et al. Glucose administration prior to a divided attention task improves tracking performance but not word recognition: evidence against differential memory enhancement? Psychopharmacology (Berl). 2009;202:549–558.
    1. Macpherson H, Ellis KA, Sali A, et al. Memory improvements in elderly women following 16 weeks treatment with a combined multivitamin, mineral and herbal supplement: a randomized controlled trial. Psychopharmacology (Berl) 2012;220:351–365.

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