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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
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When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase molecules move randomly about, they will occasionally collide with the surface of the condensed phase, and in some cases, these collisions will result in the molecules re-entering the condensed phase. The change from the gas phase to the liquid is called condensation. When the rate of condensation becomes equal to the rate of vaporization, neither the amount of the liquid nor the amount of the vapor...
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Related Experiment Video

Updated: Feb 15, 2026

Author Spotlight: Targeted Microinjection and Electroporation of Primate Cerebral Organoids for Genetic Modification
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Correlation between Cerebral Hemodynamic and Perfusion Pressure Changes in Non-Human Primates.

A Ruesch1, M A Smith2, G Wollstein3

  • 1Department of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213.

Proceedings of Spie--The International Society for Optical Engineering
|January 10, 2018
PubMed
Summary
This summary is machine-generated.

Cerebral autoregulation (CA) maintains stable brain blood flow. Near infrared spectroscopy (NIRS) can non-invasively monitor CA limits, improving patient outcomes in neurological conditions.

Keywords:
AutoregulationBlood flowBrainHypotensionNIRSNear Infrared Spectroscopy

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Area of Science:

  • Neuroscience
  • Physiology
  • Biomedical Engineering

Background:

  • Cerebral autoregulation (CA) ensures stable brain blood flow despite fluctuating cerebral perfusion pressure (CPP).
  • Impaired CA, common in conditions like stroke and TBI, can lead to unstable neuronal oxygen supply.
  • Current monitoring methods are often invasive, necessitating non-invasive alternatives.

Purpose of the Study:

  • To investigate Near Infrared Spectroscopy (NIRS) as a non-invasive tool for monitoring cerebral autoregulation (CA).
  • To demonstrate that NIRS can identify the limits of cerebral autoregulation (CA).

Main Methods:

  • Experiments were conducted on non-human primates during induced exsanguination.
  • Near Infrared Spectroscopy (NIRS) was used to measure microvascular changes in cerebral hemoglobin concentration.
  • The study aimed to correlate NIRS signals with changes in cerebral perfusion pressure (CPP) and blood flow.

Main Results:

  • Near Infrared Spectroscopy (NIRS) successfully monitored microvascular cerebral hemoglobin changes during controlled blood pressure reduction.
  • The study demonstrated that NIRS can detect the dynamic range of cerebral autoregulation (CA).
  • Findings suggest NIRS can identify the critical limits of cerebral autoregulation (CA).

Conclusions:

  • Near Infrared Spectroscopy (NIRS) shows promise as a non-invasive method for assessing cerebral autoregulation (CA) limits.
  • Monitoring CA limits using NIRS could aid in managing patients with neurological injuries and diseases.
  • This technique may help optimize cerebral perfusion pressure (CPP) management for better patient outcomes.