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Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network

The Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network is an ongoing multi-center collaborative research group established to conduct integrated studies in participants with urologic chronic pelvic pain syndrome (UCPPS). The goal of these investigations is to prov...

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Autores principales: Alger, Jeffry R., Ellingson, Benjamin M., Ashe-McNalley, Cody, Woodworth, Davis C., Labus, Jennifer S., Farmer, Melissa, Huang, Lejian, Apkarian, A. Vania, Johnson, Kevin A., Mackey, Sean C., Ness, Timothy J., Deutsch, Georg, Harris, Richard E., Clauw, Daniel J., Glover, Gary H., Parrish, Todd B., Hollander, Jan den, Kusek, John W., Mullins, Chris, Mayer, Emeran A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925887/
https://www.ncbi.nlm.nih.gov/pubmed/27408791
http://dx.doi.org/10.1016/j.nicl.2015.12.009
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author Alger, Jeffry R.
Ellingson, Benjamin M.
Ashe-McNalley, Cody
Woodworth, Davis C.
Labus, Jennifer S.
Farmer, Melissa
Huang, Lejian
Apkarian, A. Vania
Johnson, Kevin A.
Mackey, Sean C.
Ness, Timothy J.
Deutsch, Georg
Harris, Richard E.
Clauw, Daniel J.
Glover, Gary H.
Parrish, Todd B.
Hollander, Jan den
Kusek, John W.
Mullins, Chris
Mayer, Emeran A.
author_facet Alger, Jeffry R.
Ellingson, Benjamin M.
Ashe-McNalley, Cody
Woodworth, Davis C.
Labus, Jennifer S.
Farmer, Melissa
Huang, Lejian
Apkarian, A. Vania
Johnson, Kevin A.
Mackey, Sean C.
Ness, Timothy J.
Deutsch, Georg
Harris, Richard E.
Clauw, Daniel J.
Glover, Gary H.
Parrish, Todd B.
Hollander, Jan den
Kusek, John W.
Mullins, Chris
Mayer, Emeran A.
author_sort Alger, Jeffry R.
collection PubMed
description The Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network is an ongoing multi-center collaborative research group established to conduct integrated studies in participants with urologic chronic pelvic pain syndrome (UCPPS). The goal of these investigations is to provide new insights into the etiology, natural history, clinical, demographic and behavioral characteristics, search for new and evaluate candidate biomarkers, systematically test for contributions of infectious agents to symptoms, and conduct animal studies to understand underlying mechanisms for UCPPS. Study participants were enrolled in a one-year observational study and evaluated through a multisite, collaborative neuroimaging study to evaluate the association between UCPPS and brain structure and function. 3D T1-weighted structural images, resting-state fMRI, and high angular resolution diffusion MRI were acquired in five participating MAPP Network sites using 8 separate MRI hardware and software configurations. We describe the neuroimaging methods and procedures used to scan participants, the challenges encountered in obtaining data from multiple sites with different equipment/software, and our efforts to minimize site-to-site variation.
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spelling pubmed-49258872016-07-12 Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network Alger, Jeffry R. Ellingson, Benjamin M. Ashe-McNalley, Cody Woodworth, Davis C. Labus, Jennifer S. Farmer, Melissa Huang, Lejian Apkarian, A. Vania Johnson, Kevin A. Mackey, Sean C. Ness, Timothy J. Deutsch, Georg Harris, Richard E. Clauw, Daniel J. Glover, Gary H. Parrish, Todd B. Hollander, Jan den Kusek, John W. Mullins, Chris Mayer, Emeran A. Neuroimage Clin Regular Article The Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network is an ongoing multi-center collaborative research group established to conduct integrated studies in participants with urologic chronic pelvic pain syndrome (UCPPS). The goal of these investigations is to provide new insights into the etiology, natural history, clinical, demographic and behavioral characteristics, search for new and evaluate candidate biomarkers, systematically test for contributions of infectious agents to symptoms, and conduct animal studies to understand underlying mechanisms for UCPPS. Study participants were enrolled in a one-year observational study and evaluated through a multisite, collaborative neuroimaging study to evaluate the association between UCPPS and brain structure and function. 3D T1-weighted structural images, resting-state fMRI, and high angular resolution diffusion MRI were acquired in five participating MAPP Network sites using 8 separate MRI hardware and software configurations. We describe the neuroimaging methods and procedures used to scan participants, the challenges encountered in obtaining data from multiple sites with different equipment/software, and our efforts to minimize site-to-site variation. Elsevier 2016-01-06 /pmc/articles/PMC4925887/ /pubmed/27408791 http://dx.doi.org/10.1016/j.nicl.2015.12.009 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Alger, Jeffry R.
Ellingson, Benjamin M.
Ashe-McNalley, Cody
Woodworth, Davis C.
Labus, Jennifer S.
Farmer, Melissa
Huang, Lejian
Apkarian, A. Vania
Johnson, Kevin A.
Mackey, Sean C.
Ness, Timothy J.
Deutsch, Georg
Harris, Richard E.
Clauw, Daniel J.
Glover, Gary H.
Parrish, Todd B.
Hollander, Jan den
Kusek, John W.
Mullins, Chris
Mayer, Emeran A.
Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network
title Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network
title_full Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network
title_fullStr Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network
title_full_unstemmed Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network
title_short Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network
title_sort multisite, multimodal neuroimaging of chronic urological pelvic pain: methodology of the mapp research network
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925887/
https://www.ncbi.nlm.nih.gov/pubmed/27408791
http://dx.doi.org/10.1016/j.nicl.2015.12.009
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