The GATHER initiative aims to: 1) Coordinate a national research network to support tribally led research on etiology and prevention of overdose, substance use, mental health, and pain management. 2) Provide administrative support and shared resources to facilitate the successful completion of N CREW research projects. 3) Provide an administrative infrastructure, intellectual environment, and access to resources and initial support for investigators. 4) Provide research training and access to subject matter experts for investigators, staff, and students in the areas of cognitive, motivational, and behavior therapies, Indigenous approaches to research and healing, and multimodal holistic approaches to prevention and treatment. 5) Serve as a local, national, and international resource for dissemination of information and training to reduce risk in diverse tribal and urban Indian populations.
Patient Population: Adults
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 rates of lung cancer screenings among our Tribal partner populations in the Consortium’s catchment area (Research Project 3); 3)Prepare the next generation of researchers in Indigenous cancer equity and provide them with resources to obtain preliminary data to inform future cancer equity research in Indian Country (Pilot Grant Program); and 4) Develop infrastructure to support equitable engagement of Tribal partners and Indigenous Frameworks in cancer research.
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 investigation integrating multiple units of analysis including clinical and cognitive phenotyping, whole-brain neuroimaging, EEG, and E-field modeling to establish the mechanisms underlying ECT-induced antidepressant response (response biomarkers) and cognitive adverse effects (safety biomarkers), as well as to find the “sweet spot” of ECT dosing for optimal antidepressant benefit and cognitive safety. This proposal will result in a paradigm shift from “trial and error” approaches of ECT parameter selection to individualized, precision dosing to improve patient outcomes.
Default mode network impairments in comorbid anxiety and cannabis use disorders
Social anxiety disorder (SAD) is characterized by maladaptive self-focused attention (SFA), which itself is correlated with large scale brain network connectivity impairments. Cannabis use disorder (CUD) is commonly conceptualized as impaired reward processing within the ventral dopaminergic network, however, it is also implicated in connectivity disturbances in other critical cortical circuits. In the current study we will characterize the large scale brain network impairment in comorbid SAD and CUD given commonly overlapping symptoms and population prevalence
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, psychiatrists don’t have objective diagnostic tests. This proposal will utilize machine learning to analyze cognitive tests, brain electrical activity, and genetic signatures from 1,415 patients with schizophrenia and 1,062 controls to uncover biomarkers of schizophrenia. By incorporating biomarkers into diagnostic standards, psychiatrists could one day order a simple test that could help them confidently diagnose schizophrenia and make better treatment decisions based on quantitative rather than subjective measures.
Exploring the implementation determinants of paraprofessional task-shared mental roles in integrated behavioral care settings in Washington State
The gap between the number of people needing and accessing mental health care has led to the development of new types of mental health providers to help expand access to care. These providers, referred to as paraprofessionals, have typically at most a bachelor’s degree and treat mild and moderate depression and anxiety. However, because the novelty of these roles in the Unites States, little is known about organizational and employee barriers to uptake and implementation. Further, little is known about US patient perspectives on having a paraprofessional mental health provider. The proposed research explores behavioral health employer, behavioral health employee, and patient perspectives on two new paraprofessional roles being deployed in Washington State – the mental health Community Health Worker and the Behavioral Health Support Specialist – to help identify key barriers and facilitators to implementation of these roles.
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 electronic health record (EHR) and insurance claims records to test whether longitudinal changes in alcohol screening scores completed by primary care patients as part of routine care are associated with changes in one-year risk for psychiatric acute care utilization (i.e., emergency department visit or hospital encounters primarily for a mental health condition).
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 of PTSD. The specific goals are to 1) collect ERP data within a veteran population before and after treatment with methylphenidate, 2) design data analysis methods that maximize available data, and 3) add to ongoing effort of translating technological advancements for PTSD research.
Self-directed mindfulness in medically hospitalized patients: a pragmatic trial
Consultation-liaison psychiatrists are often asked to manage mood and anxiety symptoms experienced by patients admitted to medical and surgical floors of the hospital. This study aims to determine the feasibility and effectiveness of a self-directed mindfulness intervention as an adjunctive treatment for improving mood, anxiety, and perceived stress in medically hospitalized patients. Participants, consisting of patients evaluated by the consultation-liaison psychiatry service, will be randomized to an adjunctive mindfulness intervention group or a treatment-as-usual control group. Feasibility and acceptability of implementing a mindfulness intervention will be assessed. Group differences in the changes in symptom severity and psychotropic medication administration will be investigated.
School-Based Paraeducator Education for Engagement at Recess (SPEER)
The purpose of this study is to compare two implementation strategies for a social engagement intervention that supports autistic children and their non-autistic peers during recess. Remaking Recess has been shown to improve peer engagement for autistic students when implemented by paraeducators during recess. However, without supports, paraeducators face barriers to implementing the intervention well. This study compares paraeducators’ use of Remaking Recess when they receive coaching alone and when they receive coaching along with consultation from school-based teams.
