Abstract #5371

On the feasibility of estimating functional connectivity from hypercapnia BOLD MRI data

Xirui Hou^1,2, Peiying Liu¹, Micaela Chan³, Gagan Wig^3,4, Denise Park³, and Hanzhang Lu¹

¹The Russell H. Morgan Department of Radiology, Johns Hopkins School of Medicine, Baltimore, MD, United States, ²Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States, ³Center for Vital Longevity and School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, Texas, Dallas, TX, United States, ⁴Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, United States

Resting-state fMRI, particular based on Blood-Oxygenation-Level-Dependent (BOLD) signal, has been extensively used to measure functional connectivity (FC) in the brain. A recent report proposed that FC can also be evaluated from hypercapnia BOLD image. In this work, we aim to systematically compare FC derived from hypercapnia BOLD data with those obtained from traditional resting-state BOLD data in a large cohort (170 healthy participants). Our results suggest that the hypercapnia and resting-state FC maps are spatially correlated across voxels, amplitude-wise correlated across subjects.

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