Rxivist logo

Mobile Footprinting: Linking Individual Distinctiveness in Mobility Patterns to Mood, Sleep, and Brain Functional Connectivity

By Cedric Huchuan Xia, Ian Barnett, Tinashe Tapera, Zaixu Cui, Tyler Moore, AzeezA Adebimpe, Sage Rush, Kayla Piiwaa, Kristin Murtha, Sophia Linguiti, Ellen Leibenluft, Melissa Martin, Melissa Lynne Martin, Monica E Calkins, David Roalf, Daniel Wolf, Dani S. Bassett, David M. Lydon-Staley, Justin Baker, Lyle Ungar, Theodore D Satterthwaite

Posted 18 May 2021
bioRxiv DOI: 10.1101/2021.05.17.444568

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.

Download data

  • Downloaded 491 times
  • Download rankings, all-time:
    • Site-wide: 89,379
    • In neuroscience: 13,015
  • Year to date:
    • Site-wide: 48,400
  • Since beginning of last month:
    • Site-wide: 96,877

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

News