Multi-Channel Psych
Revealing Mechanisms of Anhedonia

Depression is a complex biological illness.

We need treatments to match.

The latest worldwide survey of global health underscores the devastating impact of depression. Depression was ranked as the 3rd highest cause of disability across all illnesses, resulting in approximately 43 million years lost to disability (YLD). In only a single year, 264 million people suffer from depression, and 800,000 lives are lost to suicide. Narrowing in on the United States, almost 7% of adults experience an episode of depression each year, costing an estimated $210.5 billion due to the combination of treatment costs and productivity loss. Consistent with this enormous disease burden, the NIH has spent over $22 billion on depression research over the last 20 years – more than for any other mental illness, including addiction, schizophrenia, or autism. But despite this massive investment, only 1 in 3 patients substantially responds to currently available medication or psychotherapy treatments.

Integration Platform
 
Integration platform for Multi-Channel Psych Project
Access Tools
Develop an integrated model of anhedonic depression capturing both internal biological factors and externally-manifested and quantifiable symptom-correlated biometrics and behavioral measures. This model should stratify people into those who will be treatment sensitive and those who will be treatment resistant with 80% accuracy, consistent with the current 20% false negative rate for mammograms. The model should also be sufficient to match responsive patients to their appropriate treatment regimen rapidly, including novel or existing behavior modification, psychotherapy, medication, and neurostimulation options.
Participating Labs
Aalto University Brigham and Women's Hospital Harvard Medical School University of Helsinki Icahn School of Medicine at Mount Sinai Mclean University of Oxford University of Pittsburgh Princeton University Stanford The University of Tennessee Knoxville UCLA UC San Diego Vanderbilt University Weill Cornell Medicine