Home › Cell Biology › Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
Cell Biology JoVE (Open Access) Citable · DOI

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

DOI: 10.3791/51082-v
What you'll learn
  • ✓ Set up and operate oscillatory lower body negative pressure equipment for cerebral physiology studies
  • ✓ Apply projection pursuit regression to quantify cerebral autoregulatory responses
  • ✓ Interpret autoregulatory curves from pressure fluctuation data
  • ✓ Assess cerebral perfusion maintenance across physiological pressure ranges
Protocol

Cerebral perfusion is maintained across a range of pressures via cerebral autoregulation. However, characterizing autoregulation requires prominent pressure fluctuations at regulated frequencies. The described protocol will show how oscillatory lower body negative pressure can generate pressure fluctuations to provide data for projection pursuit regression for quantification of the autoregulatory curve.

Difficulty
advanced
Total time
~2–3 hours per participant (including setup, oscillatory pressure application, data acquisition, and analysis)

Steps

1
Set up oscillatory lower body negative pressure equipment

Assemble and calibrate the lower body negative pressure chamber, pressure transducers, and monitoring instrumentation according to manufacturer specifications. Verify system integrity and baseline function before participant use.

▶ 01:55
2
Measure oscillatory lower body negative pressure responses

Apply oscillatory negative pressure stimulus to lower body while continuously recording systemic and cerebral pressure fluctuations. Capture data across multiple frequency cycles for subsequent analysis.

▶ 05:04
3
Apply projection pursuit regression to pressure data

Process recorded pressure oscillations using projection pursuit regression algorithms to isolate autoregulatory signal components and minimize noise for robust quantification.

▶ 06:15
4
Quantify and interpret cerebral autoregulatory curves

Generate autoregulatory response curves from regression outputs, visualize cerebral perfusion maintenance across pressure ranges, and compare results to baseline or control conditions.

▶ 08:05
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