Evidence map›Paper›PMID 24097158›Full record

ReviewExperimental physiology2014

Integrative physiological and computational approaches to understand autonomic control of cerebral autoregulation.

Can Ozan Tan, J Andrew Taylor

Open access · greenAbstract readReview
In one paragraph

Review in Experimental physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 63 citations in OpenAlex.

  1. Cerebral Blood Flow Response During Bolus Normal Saline Infusion After Ischemic Stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2019
    Trial
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Changes in neurovascular coupling with cerebral perfusion pressure indicate a link to cerebral autoregulation.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. Fetal cerebrovascular response to maternal hyperoxygenation in congenital heart disease: effect of cardiac physiology.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Control of Cerebral Blood Flow by Blood Gases.Frontiers in physiology · 2021
    Article
  15. Article
  16. Quantification of dynamic cerebral autoregulation and COJournal of applied physiology (Bethesda, Md. : 1985) · 2020
    Article
  17. Review
  18. Article
  19. How I monitor cerebral autoregulation.Critical care (London, England) · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Can Ozan TanC. O. Tan: CVLab, SW052, Spaulding Hospital Cambridge, 1575 Cambridge Street, Cambridge, MA 02138, USA. cotan@partners.org.
J Andrew Taylor
Spaulding Rehabilitation Hospital · US

Funding

Exploring the Physiology of Short-term Control of Cerebral Blood Flow in HumansR01HL093113 · NHLBI · SPAULDING REHABILITATION HOSPITAL · PI TAYLOR, J ANDREW · 2008 to 2011
$1.4M
NHLBI NIH HHS R01 HL093113
6 · The paper itself

Abstract

The brain requires steady delivery of oxygen and glucose, without which neurodegeneration occurs within minutes. Thus, the ability of the cerebral vasculature to maintain relatively steady blood flow in the face of changing systemic pressure, i.e. cerebral autoregulation, is critical to neurophysiological health. Although the study of autoregulation dates to the early 20th century, only the recent availability of cerebral blood flow measures with high temporal resolution has allowed rapid, beat-by-beat measurements to explore the characteristics and mechanisms of autoregulation. These explorations have been further enhanced by the ability to apply sophisticated computational approaches that exploit the large amounts of data that can be acquired. These advances have led to unique insights. For example, recent studies have revealed characteristic time scales wherein cerebral autoregulation is most active, as well as specific regions wherein autonomic mechanisms are prepotent. However, given that effective cerebral autoregulation against pressure fluctuations results in relatively unchanging flow despite changing pressure, estimating the pressure-flow relationship can be limited by the error inherent in computational models of autoregulatory function. This review focuses on the autonomic neural control of the cerebral vasculature in health and disease from an integrative physiological perspective. It also provides a critical overview of the current analytical approaches to understand cerebral autoregulation.

Indexed as

AnimalsAutonomic Nervous SystemBrainCerebrovascular CirculationComputer SimulationHomeostasisHumans

Identifiers

PMID24097158
PMCPMC3947359
OpenAlexW2146932480

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.