作者: Francesca Mandino , Corey Horien , Xilin Shen , David O'Connor , Xinxin Ge
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摘要: 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.