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

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He,  Y
Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84145

Pohmann,  R
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84187

Scheffler,  K
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons133486

Yu,  X
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

He, Y., Pohmann, R., Scheffler, K., Kleinfeld, D., Rosen, B., & Yu, X. (2017). Mapping the task-related and resting-state vascular dynamic network connectivity in rats and humans. In 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017) (pp. 304-305).


Cite as: https://hdl.handle.net/21.11116/0000-0000-C5BA-0
Abstract
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.