Sleep is a fundamental physiologic function that plays a ubiquitous role in health and illness. The Sleep Measurement Core will provide essential expertise, service and the tools required to undertake symptom science research that focuses upon sleep. Sleep measurement tools range from self report questionnaires to actigraphy to quantification of electroencephalographic (EEG) recordings of brain waveforms via polysomnography (PSG) from which to interpret sleep architecture. The Core specific aims are: (1) expand the number of research investigators involved in high quality, innovative interdisciplinary biobehavioral sleep research;(2) consult with and provide technical support to investigators desiring to integrate sleep measurement within their current program of research;and (3) develop and maintain a full array of sleep measurement tools and analysis resources in partnership with existing sleep measurement opportunities at Johns Hopkins University. This Core and Center seek to address the relationship between sleep disturbance and symptom severity, an important aspect of sleep-disease interactions that has been largely neglected. A particularly novel strength of the proposed Core is the integration of symptom modeling in the rat which permits rigorous exploration of underlying mechanisms and enhances the likelihood for translational discovery when combined with the Core's human sleep research capacity and expertise. The Core faculty are very broad in expertise, enhancing the potential for collaboration, an important factor in building a sustainable Center infrastructure.

Public Health Relevance

More than 25% of the adult population of the U.S. suffers from sleep disturbances now known to contribute to disability, disease and death. The Sleep Measurement Core will provide expertise, service, and the tools needed to develop skill in the conduct of sleep research. It is important to increase the number of sleep investigators to develop an understanding of the caused underlying the role of sleep in health and illness.

National Institute of Health (NIH)
National Institute of Nursing Research (NINR)
Center Core Grants (P30)
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Special Emphasis Panel (ZNR1)
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Johns Hopkins University
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Page, Gayle G; Corwin, Elizabeth J; Dorsey, Susan G et al. (2018) Biomarkers as Common Data Elements for Symptom and Self-Management Science. J Nurs Scholarsh 50:276-286
Finan, Patrick H; Quartana, Phillip J; Remeniuk, Bethany et al. (2017) Partial Sleep Deprivation Attenuates the Positive Affective System: Effects Across Multiple Measurement Modalities. Sleep 40:
Sturgeon, John A; Finan, Patrick H; Zautra, Alex J (2016) Affective disturbance in rheumatoid arthritis: psychological and disease-related pathways. Nat Rev Rheumatol 12:532-42
Finan, Patrick H; Richards, Jessica M; Gamaldo, Charlene E et al. (2016) Validation of a Wireless, Self-Application, Ambulatory Electroencephalographic Sleep Monitoring Device in Healthy Volunteers. J Clin Sleep Med 12:1443-1451
Finan, Patrick H; Remeniuk, Bethany (2016) Is the brain reward system a mechanism of the association of sleep and pain? Pain Manag 6:5-8
Finan, Patrick H; Garland, Eric L (2015) The role of positive affect in pain and its treatment. Clin J Pain 31:177-87
Finan, Patrick H; Quartana, Phillip J; Smith, Michael T (2015) The Effects of Sleep Continuity Disruption on Positive Mood and Sleep Architecture in Healthy Adults. Sleep 38:1735-42
Quartana, Phillip J; Finan, Patrick H; Page, Gayle G et al. (2015) Effects of insomnia disorder and knee osteoarthritis on resting and pain-evoked inflammatory markers. Brain Behav Immun 47:228-37
Smith, Michael T; Finan, Patrick H; Buenaver, Luis F et al. (2015) Cognitive-behavioral therapy for insomnia in knee osteoarthritis: a randomized, double-blind, active placebo-controlled clinical trial. Arthritis Rheumatol 67:1221-33
Finan, Patrick H; Buenaver, Luis F; Coryell, Virginia T et al. (2014) Cognitive-Behavioral Therapy for Comorbid Insomnia and Chronic Pain. Sleep Med Clin 9:261-274

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