Canoe Journey: Land, water, language and culture for youth wellbeing

The Canoe Journey study is an exploratory study aimed at examining the acceptability and fit of motivational interviewing (MI) and dialectical behavioral therapy (DBT) among American Indian and Alaska Native youth and young adult Canoe Journey participants. The team will develop a list of MI and DBT approaches in collaboration with Canoe Journey partners, and […]

CANOE partnership: Cancer Awareness, Navigation, Outreach, and Equitable Indigenous Health Outcomes

The CANOE Partnership: Cancer Awareness, Navigation, Outreach, and Equitable Indigenous Health Outcomes responds to the need to improve cancer outcomes for American Indian and Alaska Native (AI/AN) communities. Our Overall Specific Aims are: (1) Improve rates of cessation of commercial tobacco smoking among a nationally recruited sample of AI/AN adults (Research Project 1); 2) Improve […]

Enhancing Suicide Care Monitoring and Intervention in Primary Care

This project outlines a comprehensive two-year initiative aimed at enhancing suicide care services in primary care settings. The project addresses a critical gap in the continuum of care by providing interim crisis support for at-risk patients who are waiting to be connected to specialty mental health. The main objectives of this project are to develop […]



Deciphering Mechanisms of ECT Outcomes and Adverse Effects (DECODE)

Electroconvulsive therapy (ECT) is one of the most effective antidepressant non-invasive brain stimulation therapies for adults with major depression. However, a number of patients fail to respond despite adequate trials, and while clinically beneficial, ECT can produce adverse cognitive effects including amnesia, executive dysfunction, and verbal dysfluency. In this prospective study, we propose the first […]

Machine learning algorithms using natural language processing: A new screening approach for inpatient violence based on clinical notes 

Despite increasing violence, verbal abuse, and threats against healthcare workers by hospitalized patients, few methods can accurately and efficiently screen patients for this outcome. Our project aims to create an algorithm powered by natural language processing—a form of artificial intelligence—to “read” clinical notes and identify high-risk patients prior to violent events. To ensure equitable care, […]

Psychosis beyond symptoms: Cognitive and genetic biomarkers of schizophrenia

Schizophrenia is a prevalent, debilitating psychiatric disorder that is diagnosed based on clinical interviews that are subjective and highly variable; in fact, two patients can have no overlapping symptoms and be diagnosed with the same disease. While cardiologists have blood tests to help diagnose heart attacks and oncologists have PET scans to find hidden cancers, […]

Validating changes in a primary-care based alcohol use screening instrument for predicting changes in risk for psychiatric acute care utilization

Approximately 20-25% of primary care patients have unhealthy alcohol use, which can have significant impacts on mental health. Screening for unhealthy alcohol use within primary care settings is increasingly used for point-in-time identification of people who could benefit from brief advice or brief interventions. My project will use a large, longitudinal, real-world dataset consisting of […]

Event- related potential (ERP) as a biomarker for subtyping neurobiology of PTSD: A pilot study

This PTSD-focused methods-development EEG project aims to develop new tools for a) predicting PTSD treatment response, b) understanding the underlying biological process, and c) supporting the development of new treatments for PSTD. We are using an event-related potential (ERP) paradigm to develop non-invasive, easily implemented in clinic biomarker to provide useful information about the neurobiology […]