Using smartphone and wearable data to track changes in depression symptoms
Personalized Deep Learning Models of Rapid Changes in Major Depressive Disorder Symptoms using Passive Sensor Data from Smartphones and Wearable Devices
This study is looking at how smartphone and wearable device data can help track changes in symptoms for people with major depressive disorder, so if you're an adult seeking treatment, you could help us learn more about your mood and behaviors over 90 days to improve personalized care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Dartmouth College NIH-funded |
| Lab location | 1 site (Hanover, United States) |
| Project ID | NIH-10854971 on NIH RePORTER |
What this research studies
This research investigates how personalized deep learning models can analyze data collected from smartphones and wearable devices to monitor rapid changes in symptoms of major depressive disorder (MDD). By utilizing passive sensor data, the study aims to create digital biomarkers that reflect behavioral and physiological signals associated with MDD, such as sleep patterns and social interactions. Over a period of 90 days, 120 adults seeking treatment for MDD will participate, providing a comprehensive dataset for analysis. The goal is to enhance the understanding of symptom fluctuations and improve personalized treatment approaches.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults aged 21 and older who are seeking treatment for major depressive disorder.
Not a fit: Patients who do not have major depressive disorder or are not seeking treatment for their symptoms may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and tailored interventions for individuals with major depressive disorder.
How similar studies have performed: Preliminary data suggests that similar approaches using personalized artificial intelligence have shown promise in predicting changes in depression symptoms.
Where this research is happening
Hanover, United States
- Dartmouth College — Hanover, United States (Active)
Researchers
- Principal investigator: Jacobson, Nicholas Charles — Dartmouth College
- Study coordinator: Jacobson, Nicholas Charles
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.