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Abstract #1792

Age Dependence of Brain Oxygen Metabolism Assessed by 3D Constrained Quantitative BOLD MRI

Kathryn Jaroszynski1,2, Hyunyeol Lee3, Michael C. Langham1, John A. Detre1,4, and Felix W. Wehrli1
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Electronic and Electrical Engineering, Kyungpook National University, Daegu, Korea, Republic of, 4Neurology, University of Pennsylvania, Philadelphia, PA, United States

Synopsis

Keywords: Aging, Quantitative Imaging, Aging, Alzheimer's Disease, quantitative fMRI, oxygenation, brain,neuro

Motivation: Evidence suggests that impaired glucose and oxygen metabolism play a key role in Alzheimer’s Disease progression, and a decrease in metabolism of almost 10% is also seen in cognitively healthy older adults.

Goal(s): The goal of this study was to evaluate constrained quantitative BOLD (c-qBOLD) MRI as a noninvasive, radiation-free method for detecting age-related changes in cerebral oxygen metabolism.

Approach:
12 healthy volunteers ranging in age from 24-80 were examined using the c-qBOLD protocol to assess global cerebral oxygenation differences.

Results: Our results demonstrate the feasibility of c-qBOLD as a method for monitoring age related changes in cerebral oxygen metabolism.

Impact: This study demonstrates the sensitivity of c-qBOLD MRI to variations in cerebral oxygen metabolism. It is the first to investigate this method as a radiation-free, noninvasive, and spatially resolved method for monitoring age related changes in metabolism.

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Keywords