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. Yang^1,3

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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