APS
2023 APS Annual Convention
The Power of Integration: Leveraging Multimodal Data and Methods to Increase Description, Prediction, and Understanding of Mental Health Problems
This symposium brings together research that integrates multimodal data and methods, including data from self-report, smartphone sensors, ecological momentary assessment (EMA), smartwatch sensors, bluetooth, and neurocognitive tasks to better understand mental health problems including depression, anhedonia, anxiety, stress, and sleep problems.
Chairs & Discussants
- Christina Ralph-NearmanChair
University of Louisville - Cheri LevinsonDiscussant
University of Louisville
Presentations
- Operationalizing Digital Phenotyping in the Measurement of Anhedonia: The UCLA Depression Grand Challenge Optima StudyZachary Cohen, Nelson Freimer, Michelle Craske
- Predicting Anxiety Symptom Changes with Smartphone Sensors and Personalized Deep Learning ModelsNicholas Jacobson
- Augmenting Self-Reports with Passive Sensor Data to Understand Changes in Mental HealthCarlotta Rieble, Ricarda Proppert, Björn Siepe
- A Multi-Method Perspective on Family Dynamics in the Context of Adolescent DepressionMyrthe Veenman, Eiko Fried, Elzinga Bernet
