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Abstract #2546

A Novel Approach to Estimate Whole-Brain Dynamic Cerebral Autoregulation using Task-fMRI

Joo Han1, Justin D. Sprick2,3, Lisa C. Krishnamurthy1,4, Serena Song1, and Venkatagiri Krishnamurthy1,5
1Center for Visual and Neurocognitive Rehabilitation, Atlanta VAMC, Decatur, GA, United States, 2Division of Renal Medicine, Department of Medicine, Emory University, Atlanta, GA, United States, 3University of North Texas Health Science Center, Denton, TX, United States, 4Department of Physics & Astronomy, Georgia State University, Atlanta, GA, United States, 5Division of Geriatrics and Gerontology, Department of Medicine, Emory University, Atlanta, GA, United States

Synopsis

Keywords: Signal Modeling, fMRI (task based)The limitation of estimating Dynamic Cerebral Autoregulation (dCA) using Transcranial Doppler ultrasound is the lack of whole-brain estimation capabilities. In this study, the data acquisition of whole-brain task-fMRI scan during a novel Passive Cyclical Leg Raise (PCLR) task allows us to induce blood pressure (BP) changes. A surrogate BP signal was acquired from the brain stem and depicts expected fluctuations based on the PCLR-task design. The whole-brain dCA was estimated using voxel-wise TFA to obtain the transfer gain, coherence, and phase-offset. These results show similar significant brain regions but with distinct values based on the participant’s varying level of constitution.

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