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Abstract #2275

Study of Hemodynamics in Human Calf Muscle during Low-Intensity Exercise Using Single-Subject Independent Component Analysis

Zhijun Li1, Prasanna Karunanayaka1, Matthew Muller2, Christopher Sica1, Jian-Li Wang1, Lawrence Sinoway2, and Qing X. Yang1,3

1Center for NMR Research, Department of Radiology, College of Medicine, The Pennsylvania State University, Hershey, PA, United States, 2Heart and Vascular Institute, College of Medicine, The Pennsylvania State University, Hershey, PA, United States, 3Department of Neurosurgery, College of Medicine, The Pennsylvania State University, Hershey, PA, United States

Unlike in human brain imaging, normalization to a common template during exercising is a difficult proposition in muscle-imaging studies. Still, motion artifact has been an issue for dynamic analysis of exercise paradigm. We used individual Independent Component Analysis (ICA) to identify the “motion component” during exercise (rhythmic plantar-flexion) and anatomical and temporal features of BOLD signal. We simultaneously identified the lower leg muscle groups and their common hemodynamic behaviors under a low-level exercise paradigm and revealed an intriguing hemodynamic respond characteristic with a prominent transient increase and followed by a negative BOLD signal sustained to the end of exercise.

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