Project: EVO (or ?EVO?) is a mobile 3D video game that has been shown to reduce older adults' susceptibility to interference by augmenting sustained attention and working memory abilities (e.g. cognitive control) through targeted adaptive algorithms. The combination of peer-reviewed validity, adaptivity, and fun video game mechanics elevates the EVO platform beyond other at-home training tools while reducing burden associated with tedious task replication. We propose to study EVO as a potential intervention for the treatment of depression, a disorder that worsens medical outcomes, promotes disability, increases expense, and complicates medical care by clouding the clinical picture and undermining treatment adherence. R61 Phase: We will first conduct a 2-year proof of concept study to determine if EVO can engage the cognitive control network (CCN) in 30 middle-aged and older adults with major depression. Primary aims for this phase of the proposed project are to determine if EVO will result in greater CCN engagement using three levels of analysis (circuitry, performance, self-report). At the circuitry level, we will measure CCN engagement by probing the system using task-based fMRI. We hypothesize that activation and functional connectivity (FC) of anterior aspects of the CCN will increase from baseline to 4-weeks after treatment initiation. Our decision to move to the next phase of the planned study is that 66% of our sample will show significant increases in CCN functions at the circuitry level of analysis (CCN activation and FC) and at either the performance level or self- report level of analysis. R33 Phase: Should our proof of concept phase pass the Go/No-go rule, we will then conduct a 3-year pilot study to compare EVO to an expectancy-matched control game in terms of CCN target engagement at the circuitry (task-based fMRI) and behavioral levels (task performance, self-report) in 60 middle-aged and older adults with major depression. In addition, we well determine if changes in target engagement are associated with changes in mood and mood-induced disability. The decision to move onto development of a proposal to study the clinical efficacy of EVO in a larger randomized clinical trial will be based on whether we find (1) that EVO out-performs our control condition in terms of the engagement of CCN at the circuitry and behavioral levels (2) significant associations between changes in engagement of the CCN and changes in mood and (3) that the study methods are feasible to complete (sampling rate, retention, intervention adherence, intervention acceptability and expectancy-match for our control condition).

Public Health Relevance

This proposal seeks to determine if a mobile, cognitive training intervention designed to improve cognitive- control abilities in healthy adults can improve these functions in adults with depression, and further seeks to determine if changes in cognitive control functions is associated with improvement in depression symptoms. In the first two years of this study, participants with major depression will receive 4 weeks of cognitive training, and if 2/3 of the participants show improvement functional activation and connectivity in the cognitive control network and show improvement in either behavioral or self report measures of cognitive control, the final three years of the project will to test whether changes in cognitive control are specific to the intervention of interest (compared to an intervention that does not engage cognitive control networks) and if these changes in cognitive control are associated with changes in depressed mood and disability. If we find that the intervention to target cognitive control functions and improve mood, we will then apply for another 5 years of funding to test the intervention's efficacy in a larger sample of adults with depression.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Exploratory/Developmental Grants Phase II (R33)
Project #
4R33MH110509-03
Application #
9570110
Study Section
Special Emphasis Panel (ZMH1)
Program Officer
Niederehe, George T
Project Start
2016-09-19
Project End
2021-08-31
Budget Start
2018-09-01
Budget End
2019-08-31
Support Year
3
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Washington
Department
Psychiatry
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195