The mission of the Garvey Institute for Brain Health Solutions (GIBHS) at UW Medicine is to improve the health for the millions of people at risk for and affected by mental health, substance use, and other brain health disorders. Initial areas of focus include cognitive aging, addictions and the effects of physical and/or emotional trauma on the brain.


Challenge

Brain disorders such as depression, anxiety, post-traumatic stress disorder, traumatic brain injury, bipolar disorder, schizophrenia, addiction, autism and Alzheimer’s disease affect nearly half the world’s population, robbing millions of individuals and their families of the opportunity to lead healthy and productive lives.

Our Approach

  • We bring a dynamic community of clinicians, researchers, patients, families, communities and employers together to accelerate research and rapidly translate discoveries about brain health into prevention and treatment strategies for individuals with common brain disorders.
  • We work to better detect brain health problems early on by capitalizing on advances in neurosciences, genetics, computer science, engineering, brain imaging, psychiatry, psychology, neurology and rehabilitation medicine.
  • We engage patients and families in prevention and treatment programs that can substantially improve people’s lives.

University of Washington
Garvey Institute for Brain Health Solutions
Department of Psychiatry & Behavioral Sciences
1959 NE Pacific Street
Box 356560, Room BB1656
Seattle, WA 98195-6560
gibhs@uw.edu

Sign up to receive news and updates about the Garvey Institute for Brain Health Solutions!

Sample Projects

Adapting a resilience intervention for youth athletes

Addressing suicide risk in primary care to reduce youth suicide

Decreasing engagement and transmission of suicide-related content on TikTok

Deploying a texting intervention for psychosis; from research to real-world practice

Developing a cannabis intervention for young adults with psychosis

Developing a digital platform to deliver family intervention for psychosis

Developing a pediatric telebehavioral health consultation model for emergency departments

Development of a Monoclonal Antibody to Reverse Overdose from Fentanyl and Its Analogs: From Manufacturing to Clinical Trials

Discovery of conversational best practices in online mental health support

Does the microbiome play a role in adverse outcomes following mTBI and PTSD?

Empowering caregivers of persons with Lewy Body Dementias using a virtual peer-to-peer intervention

Expanding access to adolescent depression care by non-specialists with a digital intervention

Harnessing the ECHO Model to help Washingtonians with Traumatic Brain Injury (TBI)

Identifying and treating loneliness in young adults in primary care

Improving access to cognitive rehabilitation treatment following mild traumatic brain injury

Improving diagnostic imaging to guide treatment of neuroinflammation

Improving mental health in adolescents and young adults with long COVID through exercise

Improving opioid use disorder treatment using contingency management via mHealth

Improving patient-focused, population-informed care in clinical neurosciences

Improving resilience and recovery from traumatic events using the ECHO model

Innovative training for suicide prevention in addiction treatment settings

Leveraging artificial intelligence to improve digital mental health interventions

Leveraging peer mentor texting to support maternal wellbeing in the perinatal period

Monitoring mood symptoms in young adults at-risk for bipolar disorder

Noninvasive tracking of intracranial pressure to improve care of traumatic brain injury

Opioid prescription and use following traumatic brain injury

Optimizing mental health first-aid programming for sport coaches

Quantifying socio-cognitive deficits to optimize schizophrenia treatment

Reducing barriers to accessing mental health care using a web-based program for young adults

Remote assessment of cognitive aging and mental health in older African Americans during COVID-19

Synthesizing position emission tomography (PET) data from MRI using deep learning

The RECOVER study: testing online platforms to identify patients with persistent post-COVID symptoms

Using deep learning to diagnose Alzheimer’s disease and predict its progression

Using neurocomputational modeling to track memory decline

Using technology to scale Caring Contacts and reduce suicide

Using teen Mental Health First Aid to address mental health inequity among school youth

Validating a non-invasive imaging method to measure astroglial water transport in brain health and disease