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Abstract #5556

Resting-State Fractional ALFF and Seed-Based Analysis as a Function of Bladder Discomfort

Andrew LaBella1, Kenneth Wengler1, Justina Tam2, Sindhuja T. Govindarajan1, Steven Weissbart2, Tim Q Duong3, and Xiang He3

1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Urology, Stony Brook University, Stony Brook, NY, United States, 3Radiology, Stony Brook University, Stony Brook, NY, United States

The neural mechanisms underlying over active bladder are not fully understood. In addition, the neural network involved in bladder control hasn’t been identified. In this study, we looked at resting-state functional MRI of healthy females as a function of bladder filling, utilizing fractional amplitude of low frequency fluctuation (fALFF) and seed-based functional connectivity measures. Our results demonstrate modulated activation amplitude and functional connectivity throughout the brain, primarily characterized by increases in the anterior brain, furthering our understanding of bladder control and setting the foundation for additional higher level analyses.

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