@article{89d360aae5e74921ae122ef7abfb8ff8,
title = "The ENGAGE study: Integrating neuroimaging, virtual reality and smartphone sensing to understand self-regulation for managing depression and obesity in a precision medicine model",
abstract = "Precision medicine models for personalizing achieving sustained behavior change are largely outside of current clinical practice. Yet, changing self-regulatory behaviors is fundamental to the self-management of complex lifestyle-related chronic conditions such as depression and obesity - two top contributors to the global burden of disease and disability. To optimize treatments and address these burdens, behavior change and self-regulation must be better understood in relation to their neurobiological underpinnings. Here, we present the conceptual framework and protocol for a novel study, “Engaging self-regulation targets to understand the mechanisms of behavior change and improve mood and weight outcomes (ENGAGE)”. The ENGAGE study integrates neuroscience with behavioral science to better understand the self-regulation related mechanisms of behavior change for improving mood and weight outcomes among adults with comorbid depression and obesity. We collect assays of three self-regulation targets (emotion, cognition, and self-reflection) in multiple settings: neuroimaging and behavioral lab-based measures, virtual reality, and passive smartphone sampling. By connecting human neuroscience and behavioral science in this manner within the ENGAGE study, we develop a prototype for elucidating the underlying self-regulation mechanisms of behavior change outcomes and their application in optimizing intervention strategies for multiple chronic diseases.",
author = "Williams, {Leanne M.} and Adam Pines and Goldstein-Piekarski, {Andrea N.} and Rosas, {Lisa G.} and Monica Kullar and Sacchet, {Matthew D.} and Olivier Gevaert and Jeremy Bailenson and Lavori, {Philip W.} and Paul Dagum and Brian Wandell and Carlos Correa and Walter Greenleaf and Trisha Suppes and Perry, {L. Michael} and Smyth, {Joshua M.} and Lewis, {Megan A.} and Venditti, {Elizabeth M.} and Mark Snowden and Simmons, {Janine M.} and Jun Ma",
note = "Funding Information: This work was supported by the National Institutes of Health [grant number UH2HL132368 ]; Science of Behavior Change (SOBC) project: “Engaging self-regulation targets to understand the mechanisms of behavior change and improve mood and weight outcomes”. Funding Information: LMW: Received direct (non-salary) research funding from Brain Resource Pty Ltd. as cross-site Academic Principal Investigator lead for the ISPOT-D study (2008–2013). Funding Information: This work is supported by the National Institutes of Health (NIH) Science of Behavior Change Common Fund Program through an award administered by the National Heart, Lung, and Blood Institute grant number UH2HL132368 . The views presented here are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. Funding Information: The RAINBOW-ENGAGE study is supported by NIH Grant 1UH2AG052163-01 . We thank our consultants and scientific collaborators for their expert input on self-regulation task development (James Gross, Ph.D.) and on VR environment development (Benjy Li, Ph.D.). Publisher Copyright: {\textcopyright} 2017",
year = "2018",
month = feb,
doi = "10.1016/j.brat.2017.09.012",
language = "English (US)",
volume = "101",
pages = "58--70",
journal = "Behaviour Research and Therapy",
issn = "0005-7967",
publisher = "Elsevier Limited",
}
