Mobile Footprinting: Linking Individual Distinctiveness in Mobility Patterns to Mood, Sleep, and Brain Functional Connectivity
Cedric Huchuan Xia,
Melissa Lynne Martin,
Monica E Calkins,
Dani S. Bassett,
David M. Lydon-Staley,
Theodore D Satterthwaite
Posted 18 May 2021
bioRxiv DOI: 10.1101/2021.05.17.444568
Posted 18 May 2021
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.
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