Abstract #0414
Mouse rsfMRI connectome fingerprinting recovers subject as well as genetically encoded Ca2+ indicator loci
Francesca Mandino1, Corey Horien2, Xilin Shen1, David O'Connor3, Xinxin Ge4, Peter Herman1, An Qu1, John Onofrey1,3,5, Michael C Crair6,7, Xenophon Papademetris1,3, Todd R Constable1,8, and Evelyn Lake1
1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2Interdepartmental Neuroscience Program, Yale University, New Haven, CT, United States, 3Biomedical Engineering, Yale University, New Haven, CT, United States, 4Department of Physiology, UCSF, San Francisco, CA, United States, 5Urology, Yale University, New Haven, CT, United States, 6Kavli Institute for Neuroscience, Yale University, New Haven, CT, United States, 7Neuroscience, Yale University, New Haven, CT, United States, 8Neurosurgery, Yale University, New Haven, CT, United States
Synopsis
We find that the connectome, from resting-state functional magnetic resonance imaging data, can be used to identify (ID) individuals across species (humans and mice). This finding hints at the potential to use these data for individualized medicine and for translational research. To this end, we interrogate how ID rates differ across species, and how the manipulations we introduce into animal models – the use of clones and genetically encoded calcium indicators (GECI) – impact the connectome. We find species-specific ID rates differ, but only require small portions of the connectome, and that GECI loci can be recovered using this framework.
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