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Abstract
Mouse fMRI under anesthesia has become increasingly popular due to improvement in obtaining brain-wide BOLD response. Medetomidine with isoflurane has become well-accepted for resting-state fMRI, but whether this combination allows for stable, expected, and robust brain-wide evoked response in mice has yet to be validated. We thus utilized intravenous infusion of dexmedetomidine with inhaled isoflurane and intravenous infusion of ketamine/xylazine to elucidate whether stable mouse physiology and BOLD response are obtainable in response to simultaneous forepaw and whisker-pad stimulation throughout 8 h. We found both anesthetics result in hypercapnia with depressed heart rate and respiration due to self-breathing, but these values were stable throughout 8 h. Regardless of the mouse condition, brain-wide, robust, and stable BOLD response throughout the somatosensory axis was observed with differences in sensitivity and dynamics. Dexmedetomidine/isoflurane resulted in fast, boxcar-like, BOLD response with consistent hemodynamic shapes throughout the brain. Ketamine/xylazine response showed higher sensitivity, prolonged BOLD response, and evidence for cortical disinhibition as significant bilateral cortical response was observed. In addition, differing hemodynamic shapes were observed between cortical and subcortical areas. Overall, we found both anesthetics are applicable for evoked mouse fMRI studies.
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1 Institute for Basic Science (IBS), Center for Neuroscience Imaging Research (CNIR), Suwon, South Korea (GRID:grid.410720.0) (ISNI:0000 0004 1784 4496); Sungkyunkwan University, Department of Biomedical Engineering, Suwon, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X)
2 Institute for Basic Science (IBS), Center for Neuroscience Imaging Research (CNIR), Suwon, South Korea (GRID:grid.410720.0) (ISNI:0000 0004 1784 4496)
3 Institute for Basic Science (IBS), Center for Neuroscience Imaging Research (CNIR), Suwon, South Korea (GRID:grid.410720.0) (ISNI:0000 0004 1784 4496); Sungkyunkwan University, Department of Biomedical Engineering, Suwon, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X); Sungkyunkwan University, Department of Intelligent Precision Healthcare Convergence, Suwon, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X)