Xia, Cedric Hychuan; Ian Barnett; Tinashe M. Tapera; Zaixu Cui; Taylor M. Moore; Azeez Adebimpe; Sage Rush-Goebel; Kayla Piiwaa; Kristin Murtha; Sophia Linguiti; Ellen Leibenluft; Melissa A. Brotman; Melissa Lynne Martin; Monica E. Calkins; David R. Roalf; Daniel H. Wolf; Danielle S. Bassett; David M. Lydon-Staley; Justin T. Baker; Lyle Ungar and Theodore D. Satterthwaite
Mapping individual differences in behavior is fundamental to personalized neuroscience. Here, we establish that statistical patterns of smartphone-based mobility features represent unique “footprints” that allow individual identification. Critically, mobility footprints exhibit varying levels of person-specific distinctiveness and are associated with individual differences in affective instability, circadian irregularity, and brain functional connectivity. Together, this work suggests that real-world mobility patterns may provide an individual-specific signature linking brain, behavior, and mood.