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Abstract #3111

Dynamic quantitative susceptibility mapping to measure cardiac pulsation and respiration induced endogenous brain signal changes

Christa Sonderer1, Nan-kuei Chen1, and Qiuting Wen2
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States

Synopsis

Keywords: Data Processing, Quantitative Susceptibility mapping, Brain

Motivation: The contribution of physiologically induced dynamic magnetic susceptibility within the brain to the blood oxygen level dependent (BOLD) signal used for functional imaging has never been quantified.

Goal(s): Our goal was to measure the brain’s dynamic magnetic susceptibility signal as a function of the cardiac and respiratory cycles using quantitative susceptibility mapping (QSM).

Approach: We developed and evaluated an image processing framework to generate dynamic susceptibility maps over the course of cardiac pulsation and respiration.

Results: We demonstrated that QSM is sensitive to physiologically induced susceptibility changes and that our framework can be used to measure these dynamics.

Impact: The influence of physiologically induced dynamic magnetic susceptibility on BOLD signal could impact the derivation/interpretation of BOLD-based functional connectivity. Significant susceptibility changes could indicate a need to modify existing functional mapping approaches whereas the reverse would validate current techniques.

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