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Related Experiment Video

Updated: Aug 12, 2025

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
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Dynamic cerebral autoregulation measured by diffuse correlation spectroscopy.

Christopher G Favilla1, Michael T Mullen2, Farhan Kahn1

  • 1Department of Neurology, University of Pennsylvania, Philadelphia, USA.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|January 27, 2023
PubMed
Summary
This summary is machine-generated.

Diffuse correlation spectroscopy (DCS) effectively quantifies dynamic cerebral autoregulation (dCA) gain, showing strong correlation with transcranial Doppler (TCD). This non-invasive optical technique shows promise for bedside dCA assessment in healthy individuals and stroke patients.

Keywords:
Cerebral autoregulationbiomedical opticscerebral hemodynamicsdiffuse correlation spectroscopydynamic cerebral autoregulation

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Dynamic cerebral autoregulation (dCA) is crucial for maintaining stable cerebral blood flow (CBF) despite fluctuations in arterial blood pressure (ABP).
  • Transcranial Doppler (TCD) ultrasonography is a standard method for assessing dCA by measuring CBF velocity, but it has limitations.
  • Diffuse correlation spectroscopy (DCS) offers a non-invasive optical approach for monitoring CBF, presenting a potential alternative or adjunct to TCD.

Purpose of the Study:

  • To validate diffuse correlation spectroscopy (DCS) as a tool for quantifying dynamic cerebral autoregulation (dCA).
  • To compare dCA parameters derived from DCS with those obtained from traditional transcranial Doppler (TCD) measurements.
  • To assess the reliability and reproducibility of DCS for dCA assessment in healthy adults and acute ischemic stroke patients.

Main Methods:

  • Simultaneous resting-state hemodynamic monitoring using high-speed (20 Hz) DCS and TCD in 33 healthy adults and 17 stroke patients.
  • Calculation of dCA parameters, including gain (magnitude) and phase (latency) of regulation, via transfer function analysis of ABP and CBF (or CBF-velocity) oscillations.
  • Statistical analysis including correlation (Pearson's r) and test-retest reliability (intraclass correlation coefficient, ICC) to compare DCS and TCD measures.

Main Results:

  • Strong correlation between DCS and TCD for dCA gain in both healthy volunteers (r=0.73, p<0.001) and stroke patients (r=0.76, p=0.003).
  • High test-retest reliability for DCS-derived gain in both groups (ICC 0.87 and 0.82, respectively).
  • Moderate correlation for dCA phase in stroke patients (r=0.65, p=0.006), but no significant correlation in healthy volunteers (r=0.12, p=0.50); high reproducibility for DCS-derived phase (ICC 0.88 and 0.90).

Conclusions:

  • High-frequency DCS is a promising, non-invasive bedside technique for quantifying dynamic cerebral autoregulation (dCA) from resting-state data.
  • DCS accurately reflects the magnitude of cerebral autoregulation (gain) compared to TCD in both healthy and patient populations.
  • Discrepancies in phase (latency) measurements between DCS and TCD warrant further investigation for precise dCA assessment.