The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Cerebral blood flow during exercise: mechanisms of regulation
Abstract
The response of cerebral vasculature to exercise is different from other peripheral vasculature; it has a small vascular bed and is strongly regulated by cerebral autoregulation and the partial pressure of arterial carbon dioxide (Pa CO 2). In contrast to other organs, the traditional thinking is that total cerebral blood flow (CBF) remains relatively constant and is largely unaffected by a variety of conditions, including those imposed during exercise. Recent research, however, indicates that cerebral neuronal activity and metabolism drive an increase in CBF during exercise. Increases in exercise intensity up to ∼60% of maximal oxygen uptake produce elevations in CBF, after which CBF decreases toward baseline values because of lower Pa CO 2 via hyperventilation-induced cerebral vasoconstriction. This finding indicates that, during heavy exercise, CBF decreases despite the cerebral metabolic demand. In contrast, this reduced CBF during heavy exercise lowers cerebral oxygenation and therefore may act as an independent influence on central fatigue. In this review, we highlight methodological considerations relevant for the assessment of CBF and then summarize the integrative mechanisms underlying the regulation of CBF at rest and during exercise. In addition, we examine how CBF regulation during exercise is altered by exercise training, hypoxia, and aging and suggest avenues for future research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fox, P. T., & Raichle, M. E. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.4.1140 · Cited by 2,056
Kety, S. S., & Schmidt, C. F. (1948) · Journal of Clinical Investigation · doi:10.1172/jci101995 · Cited by 1,827
Nonoxidative Glucose Consumption During Focal Physiologic Neural Activity
Fox, P. T., Raichle, M. E., Mintun, M. A., & Dence, C. (1988) · Science · doi:10.1126/science.3260686 · Cited by 1,796
Cerebral blood flow and metabolism during exercise: implications for fatigue
Secher, N. H., Seifert, T., & Van Lieshout, J. J. (2008) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00853.2007 · Cited by 344
Cerebral vasoconstriction in vasovagal syncope: any link with symptoms? A transcranial Doppler study
Lagi, A., Cencetti, S., Corsoni, V., Georgiadis, D., & Bacalli, S. (2001) · Circulation · doi:10.1161/hc6172.099397 · Cited by 69
Cited by
A primer on investigating the after effects of acute bouts of physical activity on cognition
Pontifex, M. B., McGowan, A. L., Chandler, M. C., Gwizdala, K. L., Parks, A. C., Fenn, K., & Kamijo, K. (2019) · Psychology of Sport and Exercise · doi:10.1016/j.psychsport.2018.08.015 · Cited by 339
Sit less and move more for cardiovascular health: emerging insights and opportunities
Dunstan, D. W., Dogra, S., Carter, S. E., & Owen, N. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00547-y · Cited by 333
Rooks, C. R., Thom, N. J., McCully, K. K., & Dishman, R. K. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.06.002 · Cited by 324
Sato, K., Ogoh, S., Hirasawa, A., Oue, A., & Sadamoto, T. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2010.204461 · Cited by 276
Self-citationMurrell, C. J., Cotter, J. D., Thomas, K. N., Lucas, S. J. E., Williams, M. J. A., & Ainslie, P. N. (2013) · AGE · doi:10.1007/s11357-012-9414-x · Cited by 207
Self-citation
Metadata
- Authors
- Ogoh, S., & Ainslie, P. N.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2009-11
- Volume
- 107
- Issue
- 5
- Pages
- 1370-1380
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2163871541
- Cited by
- 502
- References
- 5
- FWCI
- 49.54
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cerebral blood flow during exercise: mechanisms of regulation. https://app.cochat.ai/papers/10.1152/japplphysiol.00573.2009
- The paper
- Ogoh, S., & Ainslie, P. N. (2009). Cerebral blood flow during exercise: mechanisms of regulation. Journal of Applied Physiology. https://doi.org/10.1152/japplphysiol.00573.2009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.