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Activity Number: 144 - Digital Phenotyping
Type: Invited
Date/Time: Monday, July 29, 2019 : 10:30 AM to 12:20 PM
Sponsor: Mental Health Statistics Section
Abstract #300241 Presentation
Title: The Statistical Challenges of Integrating Data Across Multiple Brain Biomarker Sensors in the AURORA Study
Author(s): Xinming An* and Samuel A McLean and Donglin Zeng and Ron Kessler
Companies: Institute for Trauma Recovery, University of North Carolina and Institute for Trauma Recovery, University of North Carolina and UNC Chapel Hill and Harvard Medical School
Keywords: Multidimensional Data; Longitudinal Data; Mental Disorders
Abstract:

Neuropsychiatric disorders such as posttraumatic stress, post-concussion syndrome, and depression are common and morbid in both military and civilian survivors of traumatic stress. Treatment of these disorders is currently hampered by poor understanding of their development and biology. In recent years, parallel longitudinal collection of many different types of novel neurobehavioral data from trauma survivors has become possible. The enormous, first-in-kind multidimensional datasets resulting from such studies may contain the key insights necessary to prevent and treat these disorders, potentially relieving suffering for hundreds of millions around the world. However, this contemporary statistical challenge must contend with marked difference in data timing (e.g., continuous wearable vs. serial neurocognitive, genomic, and neuroimaging data), relationships between different types (etiologic vs. non-etiologic), and by the overlapping mechanisms mediating multiple neuropsychiatric disorders. The presentation will focus on statistical methods to achieve useful discovery, using as an example the AURORA Study, a NIH-funded, multidimensional study of 5,000 trauma survivors.


Authors who are presenting talks have a * after their name.

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