242 citations · 248 across the 5 of their papers we have counts for
5 papers
Exploring Post COVID-19 Outbreak Intradaily Mobility Pattern Change in College Students: a GPS-focused Smartphone Sensing Study
Congyu Wu, Hagen Fritz, Cameron Craddock +3
With the outbreak of the COVID-19 pandemic in 2020, most colleges and universities move to restrict campus activities, reduce indoor gatherings and move instruction online. These c…
Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data
Congyu Wu, Amanda N. Barczyk, R. Cameron Craddock +6
Loneliness is a widely affecting mental health symptom and can be mediated by and co-vary with patterns of social exposure. Using momentary survey and smartphone sensing data colle…
Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts: Conceptual Framework and Findings from Deployments
Congyu Wu, Hagen Fritz, Zoltan Nagy +10
As mobile technologies become ever more sensor-rich, portable, and ubiquitous, data captured by smart devices are lending rich insights into users' daily lives with unprecedented c…
Multiscale statistical testing for connectome-wide association studies in fMRI
P. Bellec, Y. Benhajali, F. Carbonell +8
Alterations in brain connectivity have been associated with a variety of clinical disorders using functional magnetic resonance imaging (fMRI). We investigated empirically how the…
Learning and comparing functional connectomes across subjects
Gaël Varoquaux, R. C. Craddock
Functional connectomes capture brain interactions via synchronized fluctuations in the functional magnetic resonance imaging signal. If measured during rest, they map the intrinsic…