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Updated: Mar 25, 2026

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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
Published on: May 27, 2020
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Perfusion information extracted from resting state functional magnetic resonance imaging
Yunjie Tong1,2, Kimberly P Lindsey1,2, Lia M Hocke1,3
11 McLean Imaging Center, McLean Hospital, Belmont, MA, USA.
Summary
Systemic low frequency oscillations (sLFO) in resting-state fMRI data track cerebral blood flow. This finding validates using sLFO dynamics to measure blood flow in brain capillaries and veins.
Area of Science:
- Neuroimaging
- Physiology
- Medical Physics
Background:
- Functional magnetic resonance imaging (fMRI) blood oxygenation level dependent (BOLD) contrast indirectly measures neuronal activity.
- BOLD signals are affected by non-neuronal physiological fluctuations.
- Previous resting-state (RS) fMRI studies identified systemic low frequency oscillations (sLFO) in BOLD signals.
Purpose of the Study:
- To test the hypothesis that dynamic patterns of sLFO in RS fMRI represent cerebral blood flow.
- To compare sLFO dynamics with direct blood flow measurements.
Main Methods:
- Performed Dynamic Susceptibility Contrast (DSC) MRI scans (bolus tracking) on eight healthy subjects.
- Compared dynamic patterns of sLFO from RS fMRI with DSC-derived blood flow.
- Utilized visual and quantitative analysis for comparison.
Main Results:
- The flow patterns of sLFO derived from RS fMRI largely correspond to blood flow measured by DSC.
- Minor discrepancies are attributed to differing sensitivities of the methods to various vessel types.
Conclusions:
- The flow of sLFO in RS fMRI, visualized via time-delay mapping, accurately represents blood flow in brain capillaries and veins.
- This provides a novel method for assessing cerebral hemodynamics using non-invasive RS fMRI.
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