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Quick and accurate parcellation of neural networks has been a goal spanning multiple decades of research in the functional MRI world in order to organize and understand the overwhelmingly complex human brain with high statistical rigor. The same mathematical development in the mouse brain, which is frequently studied to understand human conditions, has been lagging. To this end, we perform high-throughput fluorescence imaging (GCaMP6f) in healthy mice in a cell-specific and non-invasive manner during rest and sensorimotor tasks in order to map healthy networks and understand patterns due to disease processes.
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Lindsey M. Brier, Jonathan R. Bumstead, Hunter B. Banks, Annie R. Bice, Joseph P. Culver, "Wide-field multi-scale areal parcellation of neural circuits in mice (Conference Presentation)," Proc. SPIE 11226, Neural Imaging and Sensing 2020, 1122619 (9 March 2020); https://doi.org/10.1117/12.2546317