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Hemodynamic timing in resting-state and breathing-task BOLD fMRI.

Jingxuan Gong1, Rachael C Stickland2, Molly G Bright3

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Area of Science:

  • Neuroimaging
  • Cerebrovascular Physiology
  • Functional Magnetic Resonance Imaging (fMRI)

Background:

  • Regional heterogeneity in blood flow response is observed in healthy and diseased brains.
  • Hemodynamic timing is a critical biomarker for cerebrovascular dysfunction and a confound in fMRI.
  • Previous studies suggest breathing challenges yield more robust hemodynamic timing than resting-state data.

Purpose of the Study:

  • To investigate the physiological interchangeability of hemodynamic delays derived from resting-state versus breath-holding conditions.
  • To determine how signal-to-noise ratio factors influence the agreement of voxel-wise hemodynamic delay estimates.

Main Methods:

  • Generated whole-brain maps of hemodynamic delays in nine healthy adults.
  • Assessed voxel-wise gray matter (GM) hemodynamic delay agreement between resting-state and breath-holding conditions.
  • Analyzed the impact of spatial smoothing on time-series correlation and agreement.

Main Results:

  • Poor agreement in delay values across all GM voxels.
  • Increased agreement when analyses were restricted to voxels strongly correlated with the GM mean time-series, often located near large venous vessels.
  • Enhanced spatial smoothing improved the correlation between individual voxel time-series and the GM mean time-series.

Conclusions:

  • Signal-to-noise limitations may affect the accuracy and agreement of voxel-wise timing estimates between resting-state and breathing-task data.
  • Caution is advised when interpreting voxel-wise delay estimates from resting-state and breath-holding data as interchangeable.
  • Further research is needed to assess the relative sensitivity and specificity of these methods for vascular physiology and pathology.