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Abstract #0327

Improved estimates of cerebral circulation time from BOLD fMRI data using putamen and sagittal sinus signals

Kristina M. Zvolanek1,2, Claire Shen2, Stefano Moia3, Sarah J. Moum4,5, and Molly G. Bright1,2
1Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, McCormick School of Engineering and Applied Sciences, Northwestern University, Evanston, IL, United States, 3Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 4Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 5Medical Imaging, Lurie Children's Hospital of Chicago, Chicago, IL, United States

Synopsis

Keywords: fMRI Analysis, fMRI, cerebral circulation time

Motivation: Cerebral circulation time (CCT) is a metric that provides insight into cerebrovascular health. However, conventional CCT measurements typically require injection of contrast agents, or demonstrate high variability.

Goal(s): We propose an improved, contrast-free method to calculate CCT by cross-correlating fMRI signals from the putamen and sagittal sinus.

Approach: n 16 healthy adult datasets (8 subjects, 2 sessions), we compared CCT estimates using the internal carotid artery (as proposed in the literature) or putamen as “arterial” references in breath-hold and resting-state data.

Results: The putamen ROI provides more reliable CCT estimates, consistent with values from bolus-tracking methods.

Impact: A modified analysis of fMRI data provides a robust method to measure cerebral circulation time on a single-subject level. This method may offer an accessible, contrast-free metric of cerebrovascular health for future application in patient populations.

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Keywords