Title Assistant Professor of Psychology in the Department of Psychiatry Institution Massachusetts General Hospital Address Massachusetts General Hospital
Recovery Research Institute
151 Merrimac St. 6th Floor
Boston MA 02114
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Biography
| Columbia University, New York, NY | B.A. | 05/2010 | Psychology / Neuroscience |
| Rutgers University, New Brunswick, NJ | M.S. | 10/2013 | Clinical Psychology |
| Rutgers University, New Brunswick, NJ | Ph.D. | 10/2016 | Clinical Psychology |
| Massachusetts General Hospital, Harvard Medical School, Boston, MA | Residency | 06/2016 | Clinical Psychology |
| Massachusetts General Hospital, Harvard Medical School, Boston, MA | Post-doctoral fellowship | 11/2018 | Clinical Psychology / Addiction Medicine |
Overview
Dr. David Eddie is a research scientist at Massachusetts General Hospital’s Recovery Research Institute, Center for Addiction Medicine, and Center for Digital Mental Health, as well as a clinical psychologist in Massachusetts General Hospital’s Department of Psychiatry, and an assistant professor at Harvard Medical School.
His current NIAAA and NIDA funded research projects include: 1) A study seeking to better understand affective and psychophysiological factors that heighten addiction relapse risk with the aim of developing cutting-edge, mobile health interventions driven by wearable biosensors. 2) A randomized controlled trial of Heart Rate Variability Biofeedback for substance use disorder utilizing wearable biosensors. 3) A project assessing the efficacy of a novel mutual-help addiction recovery program based on physical activity known as The Phoenix.
Research
The research activities and funding listed below are automatically derived from
NIH ExPORTER and other sources, which might result in incorrect or missing items.
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R21DA056468-01
(EDDIE, DAVID)
Aug 1, 2022 - Jul 31, 2024
A pilot study of ambulatory heart rate variability biofeedback for substance use disorder
Role Description: Heart rate variability biofeedback (HRV BFB) is an exciting biobehavioral intervention involving rhythmic breathing at resonance frequency that stimulates cardiovascular regulatory systems to help individuals better regulate affect and bolster cognitive control. This intervention has already shown its potential as a substance use disorder (SUD) treatment tool, but practical limitations of its accessibility, labor intensiveness, and cost have previously prevented this intervention from going to scale. Second-generation, ambulatory HRV BFB technology, however, has overcome these limitations and now allows patients to practice HRV BFB in-the-moment when its needed most – we aim to pilot test this technology for the first time with individuals with SUD.
Role: Principal Investigator
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L30AA026135-03
(EDDIE, DAVID)
Jul 1, 2022 - Jun 30, 2024
Bringing real-time stress detection to scale: Development of a biosensor driven, stress detection classifier for smartwatches
Role Description: Alcohol use disorder carries tremendous personal and societal costs, and in spite of best clinical efforts, this disorder is characterized by very high relapse rates following treatment. There is a pressing need for novel interventions that prevent alcohol use relapse, and help individuals achieve sustained remission. This study will develop the algorithms that will enable the biosensors embedded in commercially available smartwatches to detect stress in real time using physiological measures of autonomic arousal, which will ultimately be used to trigger smartphone relapse prevention apps to prompt patients with real-time coaching to mitigate alcohol use relapse risk.
Role: Principal Investigator
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R24DA051988-02S1
(KELLY, JOHN)
Aug 15, 2021 - Aug 14, 2023
Investigating the clinical and public health utility of a novel physical activity-oriented addiction recovery support service
Role Description: Opioid use disorder (OUD) is a highly treatable condition, especially with medications, yet most individuals typically need additional community support during and following treatment to enhance the chances of stable remission. The Phoenix is a novel addiction recovery community center (RCC) with a fast-growing membership of ~40,000 expanding rapidly across the United States providing free, peer-led physical activity classes to those in, or starting, recovery, through a national network of gyms, but despite its rapid growth, no systemic research has estimated The Phoenix’s clinical and public health potential as a bonafide recovery support service. This supplement fits within the scope of the recently funded NIDA R24 grant studying RCCs (R24 DA05198801) and will expand its impact by examining Phoenix’s real-world benefit, and determine who benefits and how.
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K12DA043490-03
(EDDIE, DAVID)
Jul 1, 2020 - Jun 30, 2022
Investigating the clinical and public health utility of a novel physical activity-oriented addiction recovery support service
Role Description: The program of research is to use mixed methods to assess the acceptability and utility of a best-in-class substance use disorder recovery support app in primary care medical clinics. A secondary goal of this research is to leverage data collected to build a relapse risk classifier algorithm that can portend substance use lapses in real-time. This algorithm, which will ultimately be integrated into mHealth relapse prevention apps, will significantly benefit the field, as currently no such algorithm is publicly available. This research will form the basis for future randomized controlled trials and implementation studies.
Role: Principal Investigator
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L30AA026135-02
(EDDIE, DAVID)
Jul 1, 2020 - Jun 30, 2022
Bringing real-time stress detection to scale: Development of a biosensor driven, stress detection classifier for smartwatches
Role Description: Alcohol use disorder carries tremendous personal and societal costs, and in spite of best clinical efforts, this disorder is characterized by very high relapse rates following treatment. There is a pressing need for novel interventions that prevent alcohol use relapse, and help individuals achieve sustained remission. This study will develop the algorithms that will enable the biosensors embedded in commercially available smartwatches to detect stress in real time using physiological measures of autonomic arousal, which will ultimately be used to trigger smartphone relapse prevention apps to prompt patients with real-time coaching to mitigate alcohol use relapse risk.
Role: Principal Investigator
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K23AA027577-01A1
(EDDIE, DAVID)
Jun 5, 2020 - May 31, 2025
Bringing real-time stress detection to scale: Development of a biosensor driven, stress detection classifier for smartwatches
Role Description: Alcohol use disorder carries tremendous personal and societal costs, and in spite of best clinical efforts, this disorder is characterized by very high relapse rates following treatment. There is a pressing need for novel interventions that prevent alcohol use relapse, and help individuals achieve sustained remission. This study will develop the algorithms that will enable the biosensors embedded in commercially available smartwatches to detect stress in real time using physiological measures of autonomic arousal, which will ultimately be used to trigger smartphone relapse prevention apps to prompt patients with real-time coaching to mitigate alcohol use relapse risk.
Role: Principal Investigator
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L30AA026135-01
(EDDIE, DAVID)
Nov 1, 2017 - Oct 31, 2019
Elucidating the role of cognitive and physiological aspects of affect in alcohol use relapse
Role Description: Alcohol use disorder carries tremendous personal and societal costs, is intractable to treat, and is characterized by precipitously high relapse rates following treatment. As such, there is a pressing need to better understand specific factors that lead to alcohol use disorder relapse in order to improve extant treatments and develop new interventions for this disorder. Therefore, this study will simultaneously assess cognitive factors associated with relapse (e.g., negative mood, craving) along with attendant autonomic nervous system processes as they occur in the environment, to identify psychological and biological vulnerabilities that may heighten relapse risk, ultimately informing the development of integrated biobehavioral treatments for alcohol and other substance use disorders.
Role: Principal Investigator
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Livingston Fellowship
(EDDIE, DAVID)
Jul 1, 2017 - Jun 30, 2018
Elucidating the role of cognitive and physiological aspects of affect in alcohol use relapse
Role Description: The Livingston Fellowship is intended to support outstanding post-doctoral research fellows at Harvard Medical School by underwriting research expenses associated with their work.
Role: Principal Investigator
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Harvard Foundations of Human Behavior Initiative
(EDDIE, DAVID)
Feb 1, 2017 - Jan 31, 2019
The Pershing Square Venture Fund for Research on the Foundations of Human Behavior
Elucidating the role of cognitive and physiological aspects of affect in alcohol use relapse
Role Description: This goal of this competitive award is to support awardees with operating funds to support their research.
Role: Principal Investigator
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F32AA025251
(EDDIE, DAVID)
Sep 23, 2016 - Sep 22, 2018
Elucidating the role of cognitive and physiological aspects of affect in alcohol use relapse
Role Description: Alcohol use disorder carries tremendous personal and societal costs, is intractable to treat, and is characterized by high relapse rates following treatment. As such, there is a pressing need to better understand specific factors that influence alcohol use disorder treatment outcomes in order to improve existing treatments and develop new interventions for this disorder. This study will simultaneously assess cognitive factors associated with relapse (e.g., stress, craving) along with attendant autonomic nervous system processes, as they occur in the environment, to identify psychological and biological vulnerabilities that may heighten relapse risk, ultimately informing the development of integrated biobehavioral treatments for alcohol and other substance use disorders.
Role: Principal Investigator
The clinical trials listed below are automatically derived from
ClinicalTrials.gov and other sources, which might result in incorrect or missing items.
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to make corrections and additions.
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Bibliographic
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