Purpose

This is a longitudinal study where individual with Major Depressive Disorder (MDD) will be monitored for 12 weeks. The study aims to develop an objective, sensor-based, algorithm able to detect the presence of depression as well as predict treatment response. Measurement-based treatment is considered optimal and the development of a valid passive, objective, behavioral and biological assessment of depressive symptoms that does not rely on clinician interviews will improve monitoring and ultimately improve treatment significantly.

Condition

Eligibility

Eligible Ages
Between 18 Years and 75 Years
Eligible Genders
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  1. Adults (ages 18-75), 2. Able to read, understand, and provide written informed consent in English, 3. Meet criteria for a primary psychiatric diagnosis of current major depressive disorder 4. Hamilton Depression Rating Scale (HDRS) total score ≥ 18, 5. Must have measurable skin conductance/electrodermal activity (as assessed at the screening visit), 6. Must own a working smartphone and use it regularly, 7. Must own a windows PC (or tablet) or a Mac computer (or laptop), 8. Must have access to Internet service every day. 9. Must have started antidepressant medications, changed medication dosage, or started therapy within 3 weeks

Exclusion Criteria

  1. Active drug or alcohol use disorder in the past 3 months, 2. History of psychotic disorder, 3. History of mania or hypomania, 4. Epilepsy or history of Seizure Disorder (including PNES), narcolepsy, Alzheimer Disease, Parkinson's Disease, ALS, Severe TBI, Dementia, MS, Cerebral Palsy, and Neuralgia. 5. Untreated hypothyroidism, 6. Unstable medical disease, 7. Cognitive impairment that would impede adherence to study procedures, 8. Acute suicide or homicide risk, 9. Current treatment with electroconvulsive therapy, vagal nerve stimulation therapy, deep brain stimulation, transcranial magnetic stimulation therapy, or phototherapy, 10. Cannot comprehend or communicate in English, 11. Lack of working smartphone or lack of daily access to Internet service, 12. Inability to measure skin conductance/electrodermal activity (as assessed at the screening visit), and 13. Inability or unwilling to, at minimum, wear the physiological sensor (E4) wristbands, download monitoring apps, and fill out the surveys. 14. Participants with more than two treatment failures (more than two adequate trials of meds on the basis of ATRQ) in the current mood episode.

Study Design

Phase
Study Type
Observational
Observational Model
Other
Time Perspective
Prospective

Arm Groups

ArmDescriptionAssigned Intervention
No Intervention This is an observational study. There is no active treatment that is examined.

Recruiting Locations

Massachusetts General Hospital
Boston, Massachusetts 02114
Contact:
Paola Pedrelli, Ph.D.
617-724-2936
ppedrelli@mgh.harvard.edu

Depression Clinical Research Program
Boston, Massachusetts 02114
Contact:
Paola Pedrelli, Ph.D.
617-724-3678
ppedrelli@mgh.harvard.edu

More Details

Status
Recruiting
Sponsor
Massachusetts General Hospital

Study Contact

Detailed Description

In this longitudinal study 100 individuals with Major Depressive Disorder (MDD) will be monitored for 12 weeks. Data will include self-report surveys, in-person assessments, physiological features derived by wearable devices and socialization and activity data derived by mobile applications. The study will utilize advanced statistical methods to integrate different sources of passive sensor-based behavioral and physiological data to develop models able to detect depression and predict treatment response.

Notice

Study information shown on this site is derived from ClinicalTrials.gov (a public registry operated by the National Institutes of Health). The listing of studies provided is not certain to be all studies for which you might be eligible. Furthermore, study eligibility requirements can be difficult to understand and may change over time, so it is wise to speak with your medical care provider and individual research study teams when making decisions related to participation.