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Abstract #0459

Mapping the task-related and resting-state vascular dynamic network connectivity in rats and humans

Yi He1,2, Rolf Pohmann1, Klaus Scheffler1, David Kleinfeld3, Bruce Rosen4, and Xin Yu1

1High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tuebingen, Tuebingen, Germany, 3Department of Physics/Section on Neurobiology, University of California at San Diego, La Jolla, CA, United States, 4MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA, United States

We have previously shown that hemodynamic signals can be directly detected from individual arterioles and venules penetrating the cortex. Here, the temporal correlation patterns of the vessel-specific hemodynamic signal are characterized in both rodent and human brains. At the resting state, the blood-oxygen-level-dependent (BOLD) signal from venules and the cerebral blood volume (CBV) signal from arterioles show large-scale vessel-specific correlation patterns in rats under anesthesia. Similarly, in awake human subjects, the BOLD hemodynamic signal correlated at the sulcus veins (3T), as well as at a few intra-cortical veins detected at 9.4T, showing vessel-specific activity and connectivity patterns with slow-frequency oscillation up to 0.1Hz.

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