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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-05-18
摘要
Mapping individual differences in behavior is fundamental to personalized neuroscience. Here, we establish that 統計 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 大腦 functional connectivity. Together, this work suggests that real-world mobility patterns may provide an individual-specific signature linking 大腦, behavior, and mood.
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