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Author Notes:

Correspondence: Noah Lewis, The Mind Research Network, Albuquerque, NM, USA. Email: ihd231@gmail.com

Disclosures: None declared.

Research Funding:

NIH grants R37 AG006265, R21 AG034318 and R01EB020407.

Keywords:

  • cerebrovascular reactivity
  • functional magnetic resonance imaging
  • functional network connectivity
  • neuroimaging
  • Brain
  • Cerebrovascular Circulation
  • Cerebrovascular Disorders
  • Humans
  • Magnetic Resonance Imaging
  • Oxygen

Static and dynamic functional connectivity analysis of cerebrovascular reactivity: An fMRI study

Tools:

Journal Title:

Brain and Behavior

Volume:

Volume 10, Number 6

Publisher:

, Pages e01516-e01516

Type of Work:

Article | Final Publisher PDF

Abstract:

Background Cerebrovascular reactivity (CVR) is an important aspect of brain function, and as such it is important to understand relationship between CVR and functional connectivity. Methods This research studied the role of CVR, or the brain's ability to react to vasoactive stimuli on brain functional connectivity by scanning subjects with blood‐oxygenation‐level‐dependent (BOLD) functional magnetic resonance imaging (fMRI) while they periodically inhale room air and a CO 2‐enriched gas mixture. We developed a new metric to measure the effect of CVR on each intrinsic connectivity network (ICN), which contrasts to voxel‐wise CVR. We also studied the changes in whole‐brain connectivity patterns using both static functional network connectivity (sFNC) and dynamic FNC (dFNC). Results We found that network connectivity is generally weaker during vascular dilation, which is supported by previous research. The dFNC analysis revealed that participants did not return to the pre‐CO 2 inhalation state, suggesting that one‐minute periods of room‐air inhalation is not enough for the CO 2 effect to fully dissipate. Conclusions Cerebrovascular reactivity is one tool that the cerebrovascular system uses to ensure the constant, finely‐tuned flow of oxygen to function properly. Understanding the relationship between CVR and brain dynamism can provide unique information about cerebrovascular diseases and general brain function. We observed that CVR has a wide, but consistent relationship to connectivity patterns between functional networks.

Copyright information:

© 2020 John Wiley & Sons, Inc. All rights reserved.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/rdf).
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