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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
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Measuring neuronal activity with diffuse correlation spectroscopy: a theoretical investigation.

Xiaojun Cheng1, Edbert J Sie2, Stephanie Naufel2

  • 1Boston University, Neurophotonics Center, Department of Biomedical Engineering, Massachusetts, United States.

Neurophotonics
|August 9, 2021
PubMed
Summary
This summary is machine-generated.

Diffuse correlation spectroscopy (DCS) can measure cerebral blood flow. While neuronal cell motion is unlikely to be detected by DCS soon, multi-channel DCS shows promise for real-time brain activity monitoring.

Keywords:
Monte Carlodiffuse correlation spectroscopyhemodynamicsneuronal activationneuronal cell motion

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Area of Science:

  • Biomedical optics
  • Neuroimaging
  • Physiological monitoring

Background:

  • Diffuse correlation spectroscopy (DCS) non-invasively measures cerebral blood flow.
  • Current DCS methods detect neuronal activity with a few-second latency, limiting real-time monitoring.
  • Neuronal cell deformation during activation offers potential for faster detection (<100 ms) via DCS.

Purpose of the Study:

  • To characterize DCS signal variations during neuronal activation on fast (<100 ms) and slow (100 ms to seconds) timescales.
  • To model DCS signal changes from neuronal activation, including cell motion, vessel dilation, and blood flow.
  • To assess the feasibility of detecting neuronal activity using DCS based on signal variations.

Main Methods:

  • Monte Carlo simulations were used to model DCS signal variations.
  • Simulations incorporated neuronal cell motion, vessel wall dilation, and blood flow changes.
  • Analysis focused on the decay time of the speckle intensity autocorrelation function.

Main Results:

  • Neuronal cell motion was found to induce a specific DCS signal variation.
  • The study estimated the required contrast and channel count for detecting hemodynamic signals at various latencies.
  • Current technology trends suggest detecting neuronal cell motion with DCS is not feasible in the near future.

Conclusions:

  • Detecting neuronal cell motion using current DCS technology is not anticipated soon.
  • Multi-channel DCS can detect hemodynamic responses with sub-second latency.
  • This capability holds potential for developing advanced brain-computer interfaces.