Browsing by Author "Gray, Kevin M."

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    Cannabis Use and the Developing Brain: Highs and Lows
    (Frontiers Media, 2023) Hurd, Yasmin L.; Ferland, Jacqueline-Marie N.; Nomura, Yoko; Hulvershorn, Leslie A.; Gray, Kevin M.; Thurstone, Christian; Psychiatry, School of Medicine
    Although cannabis is a naturally occurring plant with a long history of use by humans, the chemicals it contains, called cannabinoids, can act on the human body in many ways. Use of cannabis during important periods of development, such as during pregnancy and adolescence, can have a long-lasting impact on the way the brain forms and develops its systems to control emotions and other functions. This article gives an overview of some of the effects of cannabinoids on the developing brain, before birth and as teenagers, and provides information about how young people can prevent or minimize the negative effects of cannabis on their brains.
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    Mobile devices for the remote acquisition of physiological and behavioral biomarkers in psychiatric clinical research
    (Elsevier, 2017-02) Adams, Zachary; McClure, Erin A.; Gray, Kevin M.; Danielson, Carla Kmett; Treiber, Frank A.; Ruggiero, Kenneth J.; Psychiatry, School of Medicine
    Psychiatric disorders are linked to a variety of biological, psychological, and contextual causes and consequences. Laboratory studies have elucidated the importance of several key physiological and behavioral biomarkers in the study of psychiatric disorders, but much less is known about the role of these biomarkers in naturalistic settings. These gaps are largely driven by methodological barriers to assessing biomarker data rapidly, reliably, and frequently outside the clinic or laboratory. Mobile health (mHealth) tools offer new opportunities to study relevant biomarkers in concert with other types of data (e.g., self-reports, global positioning system data). This review provides an overview on the state of this emerging field and describes examples from the literature where mHealth tools have been used to measure a wide array of biomarkers in the context of psychiatric functioning (e.g., psychological stress, anxiety, autism, substance use). We also outline advantages and special considerations for incorporating mHealth tools for remote biomarker measurement into studies of psychiatric illness and treatment and identify several specific opportunities for expanding this promising methodology. Integrating mHealth tools into this area may dramatically improve psychiatric science and facilitate highly personalized clinical care of psychiatric disorders.
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    Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design
    (Public Library of Science, 2023-06-23) Gross, Rachel; Thaweethai, Tanayott; Rosenzweig, Erika B.; Chan, James; Chibnik, Lori B.; Cicek, Mine S.; Elliott, Amy J.; Flaherman, Valerie J.; Foulkes, Andrea S.; Witvliet, Margot Gage; Gallagher, Richard; Gennaro, Maria Laura; Jernigan, Terry L.; Karlson, Elizabeth W.; Katz, Stuart D.; Kinser, Patricia A.; Kleinman, Lawrence C.; Lamendola-Essel, Michelle F.; Milner, Joshua D.; Mohandas, Sindhu; Mudumbi, Praveen C.; Newburger, Jane W.; Rhee, Kyung E.; Salisbury, Amy L.; Snowden, Jessica N.; Stein, Cheryl R.; Stockwell, Melissa S.; Tantisira, Kelan G.; Thomason, Moriah E.; Truong, Dongngan T.; Warburton, David; Wood, John C.; Ahmed, Shifa; Akerlundh, Almary; Alshawabkeh, Akram N.; Anderson, Brett R.; Aschner, Judy L.; Atz, Andrew M.; Aupperle, Robin L.; Baker, Fiona C.; Balaraman, Venkataraman; Banerjee, Dithi; Barch, Deanna M.; Baskin-Sommers, Arielle; Bhuiyan, Sultana; Bind, Marie-Abele C.; Bogie, Amanda L.; Buchbinder, Natalie C.; Bueler, Elliott; Bükülmez, Hülya; Casey, B. J.; Chang, Linda; Clark, Duncan B.; Clifton, Rebecca G.; Clouser, Katharine N.; Cottrell, Lesley; Cowan, Kelly; D'Sa, Viren; Dapretto, Mirella; Dasgupta, Soham; Dehority, Walter; Dummer, Kirsten B.; Elias, Matthew D.; Esquenazi-Karonika, Shari; Evans, Danielle N.; Faustino, E. Vincent S.; Fiks, Alexander G.; Forsha, Daniel; Foxe, John J.; Friedman, Naomi P.; Fry, Greta; Gaur, Sunanda; Gee, Dylan G.; Gray, Kevin M.; Harahsheh, Ashraf S.; Heath, Andrew C.; Heitzeg, Mary M.; Hester, Christina M.; Hill, Sophia; Hobart-Porter, Laura; Hong, Travis K. F.; Horowitz, Carol R.; Hsia, Daniel S.; Huentelman, Matthew; Hummel, Kathy D.; Iacono, William G.; Irby, Katherine; Jacobus, Joanna; Jacoby, Vanessa L.; Jone, Pei-Ni; Kaelber, David C.; Kasmarcak, Tyler J.; Kluko, Matthew J.; Kosut, Jessica S.; Laird, Angela R.; Landeo-Gutierrez, Jeremy; Lang, Sean M.; Larson, Christine L.; Lim, Peter Paul C.; Lisdahl, Krista M.; McCrindle, Brian W.; McCulloh, Russell J.; Mendelsohn, Alan L.; Metz, Torri D.; Morgan, Lerraughn M.; Müller-Oehring, Eva M.; Nahin, Erica R.; Neale, Michael C.; Ness-Cochinwala, Manette; Nolan, Sheila M.; Oliveira, Carlos R.; Oster, Matthew E.; Payne, R. Mark; Raissy, Hengameh; Randall, Isabelle G.; Rao, Suchitra; Reeder, Harrison T.; Rosas, Johana M.; Russell, Mark W.; Sabati, Arash A.; Sanil, Yamuna; Sato, Alice I.; Schechter, Michael S.; Selvarangan, Rangaraj; Shakti, Divya; Sharma, Kavita; Squeglia, Lindsay M.; Stevenson, Michelle D.; Szmuszkovicz, Jacqueline; Talavera-Barber, Maria M.; Teufel, Ronald J., II; Thacker, Deepika; Udosen, Mmekom M.; Warner, Megan R.; Watson, Sara E.; Werzberger, Alan; Weyer, Jordan C.; Wood, Marion J.; Yin, H. Shonna; Zempsky, William T.; Zimmerman, Emily; Dreyer, Benard P.; Pediatrics, School of Medicine
    Importance: SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis. Methods: RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged ≥18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility- and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross-validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms. Discussion: RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options.