Abstract #4185

Independent Component-based Denoising for Mapping Cerebrovascular Reactivity with Resting-State Fluctuation of BOLD Signal Amplitude in Patients with Gliomas

AI-LING HSU¹, Ping-Ni Wang², Jyh-Horng Chen³, and Ho-Ling Liu⁴

¹Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ²Department of Medical Physics, University of Wisconsin-Madison, ³Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, ⁴Department of Imaging Physics, The University of Texas MD Anderson Cancer Center

Cerebrovascular reactivity (CVR) with hypercapnia challenges, such as a breath-hold (BH) task, has been proposed to indicate areas with neurovascular uncoupling potentials for presurgical fMRI. Previous studies have shown that BH response correlated with resting-state fluctuation of amplitude (RSFA) in healthy adults. This study explores the use of RSFA for indicating sites with neurovascular uncoupling potentials in presurgical fMRI of patients with gliomas. The RSFA with ICA-based denoising approaches was found to perform superior to the traditional approaches. Unlike BH, RS-fMRI is less dependent on patient performance thus can be widely applied in clinical practice.

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