4.6 Article

Diffuse optical assessment of cerebral-autoregulation in older adults stratified by cerebrovascular risk

Journal

JOURNAL OF BIOPHOTONICS
Volume 13, Issue 10, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/jbio.202000073

Keywords

cerebral blood flow; cerebral blood oxygenation; cerebral-autoregulation; cerebrovascular disease; diffuse correlation spectroscopy; head-up-tilting; low-frequency oscillation; near-infrared spectroscopy

Funding

  1. American Heart Association [16GIA30820006]
  2. Higher Committee for Education Development in Iraq
  3. National Institutes of Health [1R01AG062480, 5P30AG028383, R01-HD101508, R21-HD091118]
  4. National Science Foundation (NSF) [EPSCoR1539068]

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Diagnosis of cerebrovascular disease (CVD) at early stages is essential for preventing sequential complications. CVD is often associated with abnormal cerebral microvasculature, which may impact cerebral-autoregulation (CA). A novel hybrid near-infrared diffuse optical instrument and a finger plethysmograph were used to simultaneously detect low-frequency oscillations (LFOs) of cerebral blood flow (CBF), oxy-hemoglobin concentration ([HbO(2)]), deoxy-hemoglobin concentration ([Hb]) and mean arterial pressure (MAP) in older adults before, during and after 70 degrees head-up-tilting (HUT). The participants with valid data were divided based on Framingham risk score (FRS, 1-30 points) into low-risk (FRS <= 15, n = 13) and high-risk (FRS >15, n = 11) groups for developing CVD. The LFO gains were determined by transfer function analyses with MAP as the input, and CBF, [HbO(2)] and [Hb] as the outputs (CA proportional to 1/Gain). At resting-baseline, LFO gains in the high-risk group were relatively lower compared to the low-risk group. The lower baseline gains in the high-risk group may attribute to compensatory mechanisms to maintain stronger steady-state CAs. However, HUT resulted in smaller gain reductions in the high-risk group compared to the low-risk group, suggesting weaker dynamic CAs. LFO gains are potentially valuable biomarkers for early detection of CVD based on associations with CAs.

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