Cited by 444Cardiovascular and exercise physiologyPhysical Activity and HealthCardiovascular Health and Disease Prevention

Elevation in cerebral blood flow velocity with aerobic fitness throughout healthy human ageing

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Ainslie, Philip N., Cotter, James D., George, Keith P., Lucas, Sam, Murrell, Carissa, Shave, Rob, Thomas, Kate N., Williams, Michael J. A. +1 more·2008·The Journal of Physiology

Abstract

It is known that cerebral blood flow declines with age in sedentary adults, although previous studies have involved small sample sizes, making the exact estimate of decline imprecise and the effects of possible moderator variables unknown. Animal studies indicate that aerobic exercise can elevate cerebral blood flow; however, this possibility has not been examined in humans. We examined how regular aerobic exercise affects the age‐related decline in blood flow velocity in the middle cerebral artery (MCAv) in healthy humans. Maximal oxygen consumption, body mass index (BMI), blood pressure and MCAv were measured in healthy sedentary (n= 153) and endurance‐trained (n= 154) men aged between 18 and 79 years. The relationships between age, training status, BMI and MCAv were examined using analysis of covariance methods. Mean ±s.e.m. estimates of regression coefficients and 95% confidence intervals (95% CI) were calculated. The age‐related decline in MCAv was −0.76 ± 0.04 cm s−1 year−1 (95% CI =−0.69 to −0.83, r2= 0.66, P < 0.0005) and was independent of training status (P= 0.65). Nevertheless, MCAv was consistently elevated by 9.1 ± 3.3 cm s−1 (CI = 2.7–15.6, P= 0.006) in endurance‐trained men throughout the age range. This ∼17% difference between trained and sedentary men amounted to an approximate 10 year reduction in MCAv ‘age’ and was robust to between‐group differences in BMI and blood pressure. Regular aerobic‐endurance exercise is associated with higher MCAv in men aged 18–79 years. The persistence of this finding in older endurance‐trained men may therefore help explain why there is a lower risk of cerebrovascular disease in this population.

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Crossref · 10.1113/jphysiol.2008.158279

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  • Well-trained individuals demonstrate improved cerebral blood flow velocity and regulation, allowing them to maintain brain perfusion even with fluctuations in blood pressure under physical exertion or heat stress, a mechanism that is less efficient in untrained individuals.

    “For instance, well-trained individuals demonstrate improved cerebral blood flow velocity25 and regulation,26 allowing them to maintain brain perfusion even with fluctuations in blood pressure under physical exertion or heat stress, a mechanism that is less efficient in untrained individuals.”

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Research works printed but not linked: 34

  1. Aaslid R, Markwalder TM, Nornes H. Noninvasive transcranial Doppler ultrasound recording of flow velocity in basal cerebral arteries. J Neurosurg. 1982;57:769–774. doi: 10.3171/jns.1982.57.6.0769. [DOI] [PubMed] [Google Scholar] · DOI
  2. Ainslie PN, Murrell C, Peebles K, Swart M, Skinner MA, Williams MJ, Taylor RD. Early morning impairment in cerebral autoregulation and cerebrovascular CO2 reactivity in healthy humans: relation to endothelial function. Exp Physiol. 2007;92:769–777. doi: 10.1113/expphysiol.2006.036814. [DOI] [PubMed] [Google Scholar] · DOI
  3. Beason-Held LL, Moghekar A, Zonderman AB, Kraut MA, Resnick SM. Longitudinal changes in cerebral blood flow in the older hypertensive brain. Stroke. 2007;38:1766–1773. doi: 10.1161/STROKEAHA.106.477109. [DOI] [PubMed] [Google Scholar] · DOI
  4. Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Meth Med Res. 1999;8:135–160. doi: 10.1177/096228029900800204. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  5. Buijs PC, Krabbe-Hartkamp MJ, Bakker CJ, de Lange EE, Ramos LM, Breteler MM, Mali WP. Effect of age on cerebral blood flow: measurement with ungated two-dimensional phase-contrast MR angiography in 250 adults. Radiology. 1998;209:667–674. doi: 10.1148/radiology.209.3.9844657. [DOI] [PubMed] [Google Scholar] · DOI
  6. Carro E, Nunez A, Busiguina S, Torres-Aleman I. Circulating insulin-like growth factor I mediates effects of exercise on the brain. J Neurosci. 2000;20:2926–2933. doi: 10.1523/JNEUROSCI.20-08-02926.2000. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
  7. Clarkson P, Montgomery HE, Mullen MJ, Donald AE, Powe AJ, Bull T, Jubb M, World M, Deanfield JE. Exercise training enhances endothelial function in young men. J Am Coll Cardiol. 1999;33:1379–1385. doi: 10.1016/s0735-1097(99)00036-4. [DOI] [PubMed] [Google Scholar] · DOI
  8. Endres M, Gertz K, Lindauer U, Katchanov J, Schultze J, Schrock H, Nickenig G, Kuschinsky W, Dirnagl U, Laufs U. Mechanisms of stroke protection by physical activity. Ann Neurol. 2003;54:582–590. doi: 10.1002/ana.10722. [DOI] [PubMed] [Google Scholar] · DOI
  9. Endres M, Laufs U, Liao JK, Moskowitz MA. Targeting eNOS for stroke protection. Trends Neurosci. 2004;27:283–289. doi: 10.1016/j.tins.2004.03.009. [DOI] [PubMed] [Google Scholar] · DOI
  10. Field A. Discovering Statistics Using SPSS. 2. London: Sage Publications; 2005. [Google Scholar]
  11. Franzoni F, Galetta F, Morizzo C, Lubrano V, Palombo C, Santoro G, Ferrannini E, Quinones-Galvan A. Effects of age and physical fitness on microcirculatory function. Clin Sci (Lond) 2004;106:329–335. doi: 10.1042/CS20030229. [DOI] [PubMed] [Google Scholar] · DOI
  12. Gertz K, Priller J, Kronenberg G, Fink KB, Winter B, Schrock H, Ji S, Milosevic M, Harms C, Bohm M, Dirnagl U, Laufs U, Endres M. Physical activity improves long-term stroke outcome via endothelial nitric oxide synthase-dependent augmentation of neovascularization and cerebral blood flow. Circ Res. 2006;99:1132–1140. doi: 10.1161/01.RES.0000250175.14861.77. [DOI] [PubMed] [Google Scholar] · DOI
  13. Giller CA, Bowman G, Dyer H, Mootz L, Krippner W. Cerebral arterial diameters during changes in blood pressure and carbon dioxide during craniotomy. Neurosurgery. 1993;32:737–741. [PubMed] [Google Scholar]
  14. Higashi Y, Sasaki S, Kurisu S, Yoshimizu A, Sasaki N, Matsuura H, Kajiyama G, Oshima T. Regular aerobic exercise augments endothelium-dependent vascular relaxation in normotensive as well as hypertensive subjects: role of endothelium-derived nitric oxide. Circulation. 1999;100:1194–1202. doi: 10.1161/01.cir.100.11.1194. [DOI] [PubMed] [Google Scholar] · DOI
  15. Hoth KF, Tate DF, Poppas A, Forman DE, Gunstad J, Moser DJ, Paul RH, Jefferson AL, Haley AP, Cohen RA. Endothelial function and white matter hyperintensities in older adults with cardiovascular disease. Stroke. 2007;38:308–312. doi: 10.1161/01.STR.0000254517.04275.3f. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  16. Kashimada A, Machida K, Honda N, Mamiya T, Takahashi T, Kamano T, Inoue Y, Osada H. [Measurement of cerebral blood flow in normal subjects by phase contrast MR imaging] (in Japanese) Nippon Igaku Hoshasen Gakkai Zasshi. 1994;54:1116–1125. [PubMed] [Google Scholar]
  17. Kirkham FJ, Padayachee TS, Parsons S, Seargeant LS, House FR, Gosling RG. Transcranial measurement of blood velocities in the basal cerebral arteries using pulsed Doppler ultrasound: velocity as an index of flow. Ultrasound Med Biol. 1986;12:15–21. doi: 10.1016/0301-5629(86)90139-0. [DOI] [PubMed] [Google Scholar] · DOI
  18. Kramer AF, Hahn S, Cohen NJ, Banich MT, McAuley E, Harrison CR, Chason J, Vakil E, Bardell L, Boileau RA, Colcombe A. Ageing, fitness and neurocognitive function. Nature. 1999;400:418–419. doi: 10.1038/22682. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  19. Lavi S, Gaitini D, Milloul V, Jacob G. Impaired cerebral CO2 vasoreactivity: association with endothelial dysfunction. Am J Physiol Heart Circ Physiol. 2006;291:H1856–H1861. doi: 10.1152/ajpheart.00014.2006. [DOI] [PubMed] [Google Scholar] · DOI
  20. Matteis M, Troisi E, Monaldo BC, Caltagirone C, Silvestrini M. Age and sex differences in cerebral hemodynamics: a transcranial Doppler study. Stroke. 1998;29:963–967. doi: 10.1161/01.str.29.5.963. [DOI] [PubMed] [Google Scholar] · DOI
  21. Nelson E, Rennels M. Innervation of intracranial arteries. Brain. 1970;93:475–490. doi: 10.1093/brain/93.3.475. [DOI] [PubMed] [Google Scholar] · DOI
  22. Niehaus L, Lehmann R, Roricht S, Meyer BU. Age-related reduction in visually evoked cerebral blood flow responses. Neurobiol Aging. 2001;22:35–38. doi: 10.1016/s0197-4580(00)00212-8. [DOI] [PubMed] [Google Scholar] · DOI
  23. Nielsen KC, Owman C. Adrenergic innervation of pial arteries related to the circle of Willis in the cat. Brain Res. 1967;6:773–776. doi: 10.1016/0006-8993(67)90134-5. [DOI] [PubMed] [Google Scholar] · DOI
  24. . J Physiol. 2007;584:347–357. doi: 10.1113/jphysiol.2007.137075. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  25. Rinder MR, Spina RJ, Ehsani AA. Enhanced endothelium-dependent vasodilation in older endurance-trained men. J Appl Physiol. 2000;88:761–766. doi: 10.1152/jappl.2000.88.2.761. [DOI] [PubMed] [Google Scholar] · DOI
  26. Scheel P, Ruge C, Petruch UR, Schoning M. Color duplex measurement of cerebral blood flow volume in healthy adults. Stroke. 2000;31:147–150. doi: 10.1161/01.str.31.1.147. [DOI] [PubMed] [Google Scholar] · DOI
  27. Seals DR, Dinenno FA. Collateral damage: cardiovascular consequnces of chronic sympathetic activation with human aging. Am J Physiol Heart Circ Physiol. 2004;287:H1895–H1905. doi: 10.1152/ajpheart.00486.2004. [DOI] [PubMed] [Google Scholar] · DOI
  28. Serrador JM, Picot PA, Rutt BK, Shoemaker JK, Bondar RL. MRI measures of middle cerebral artery diameter in conscious humans during simulated orthostasis. Stroke. 2000;31:1672–1678. doi: 10.1161/01.str.31.7.1672. [DOI] [PubMed] [Google Scholar] · DOI
  29. Shephard RJ, Balady GJ. Exercise as cardiovascular therapy. Circulation. 1999;99:963–972. doi: 10.1161/01.cir.99.7.963. [DOI] [PubMed] [Google Scholar] · DOI
  30. Stoquart-ElSankari S, Baledent O, Gondry-Jouet C, Makki M, Godefroy O, Meyer ME. Aging effects on cerebral blood and cerebrospinal fluid flows. J Cereb Blood Flow Metab. 2007;27:1563–1572. doi: 10.1038/sj.jcbfm.9600462. [DOI] [PubMed] [Google Scholar] · DOI
  31. Taddei S, Galetta F, Virdis A, Ghiadoni L, Salvetti G, Franzoni F, Giusti C, Salvetti A. Physical activity prevents age-related impairment in nitric oxide availability in elderly athletes. Circulation. 2000;101:2896–2901. doi: 10.1161/01.cir.101.25.2896. [DOI] [PubMed] [Google Scholar] · DOI
  32. Valdueza JM, Balzer JO, Villringer A, Vogl TJ, Kutter R, Einhaupl KM. Changes in blood flow velocity and diameter of the middle cerebral artery during hyperventilation: assessment with MR and transcranial Doppler sonography. AJNR Am J Neuroradiol. 1997;18:1929–1934. [PMC free article] [PubMed] [Google Scholar]
  33. Vaynman S, Ying Z, Gomez-Pinilla F. Hippocampal BDNF mediates the efficacy of exercise on synaptic plasticity and cognition. Eur J Neurosci. 2004;20:2580–2590. doi: 10.1111/j.1460-9568.2004.03720.x. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  34. Zar JH. Biostatistical Analysis. Englewood Cliffs, NJ: Prentice Hall; 1999. [Google Scholar]

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Authors
Ainslie, P. N., Cotter, J. D., George, K. P., Lucas, S., Murrell, C., Shave, R., Thomas, K. N., Williams, M. J. A., & Atkinson, G.
Affiliations
  • University of Otago (NZ)
  • Liverpool John Moores University (GB)
  • Brunel University of London (GB)
Corresponding author
Ainslie, Philip N.
Venue
The Journal of Physiology
Publisher
Wiley
Published
2008-08-15
Volume
586
Issue
16
Pages
4005-4010
ISSN
  • 0022-3751 (ISSN-L)
  • 1469-7793
OpenAlex
W1583917628
Cited by
444
References
3
Citations by year
2026: 14 · 2025: 30 · 2024: 23 · 2023: 39 · 2022: 39 · 2021: 41 · 2020: 35 · 2019: 42 · 2018: 22 · 2017: 16 · 2016: 22 · 2015: 38 · 2014: 28 · 2013: 13 · 2012: 11
FWCI
26.94
Type
journal article
Language
en
Open access
Locations
  • The Journal of Physiology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Teesside University Research Portal (Teesside University) (publishedVersion)
  • Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion)
  • TeesRep (Teesside University) (submittedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
  • Cardiff Metropolitan Research Repository (Cardiff Metropolitan University) (submittedVersion)
Funders
  • University of Otago
  • Health Research Council of New Zealand
Topics
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
Keywords
cerebral blood flow velocity, aerobic exercise, endurance training, healthy aging, middle cerebral artery, age-related decline, sedentary lifestyle, VO2max, body mass index, blood pressure, cerebrovascular risk
MeSH terms
Adolescent, Adult, Aged, Aging, Blood Flow Velocity, Cerebrovascular Circulation, Humans, Male, Middle Aged, Oxygen, Physical Fitness, Exercise

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