In this application we seek renewed support for our continued efforts to develop innovative neuroimaging technologies within the highly integrated multimodal framework of our P41 Regional Resource, the Center for Functional Neuroimaging Technologies (CFNT). The overarching goal of the CFNT is to provide technology Resources to more closely examine and better understand the human brain in both health and disease. To this end, we seek to develop new techniques and advance existing technologies for acquisition and analysis of functionally specific images of the working brain, with unprecedented physiological precision and spatiotemporal resolution. To accomplish this goal, we propose to continue our core and collaborative research, service, training and dissemination activities. Central to this effort are our four core technology research and development projects, designed to improve and extend techniques for non-invasive magnetic resonance image analysis (Project 1) and acquisition (Project 2), electromagnetic source imaging (Project 3), and optical neuroimaging (Project 4). New for this cycle, an exciting new technology, integrated PET/MRI will be explored within several of these projects. The Resource provides an essential interactive environment, within which an interdisciplinary team of highly skilled scientists, engineers, and clinicians with diverse expertise in multiple modalities and disciplines collaborate closely with our Center to advance the technical capabilities of the Center, while reciprocally enhancing their own research by applying the tools we co-develop. Finally, the Resource will continue to support service use of the Center's facilities by neuroscientists throughout the country, provide extensive training opportunities for students, fellows, and staff scientists, and seek to advance the field of brain mapping through active dissemination of new knowledge and technology.

Public Health Relevance

The P41 Resource, by actively developing cutting-edge neuroimaging technologies, conducting collaborative research involving applications of these technologies, and extending them for service use to the broader neuroscientific research community, has extensive potential to help shape the basic neuroscience and translational research landscape. Ultimately, this work may thus facilitate the development of new therapeutic advances for an astounding array of neurological and psychiatric diseases.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR014075-13
Application #
8098820
Study Section
Special Emphasis Panel (ZRG1-SBIB-L (40))
Program Officer
Levy, Abraham
Project Start
2000-09-01
Project End
2014-05-31
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
13
Fiscal Year
2011
Total Cost
$1,198,240
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Lee, Jeungchan; Mawla, Ishtiaq; Kim, Jieun et al. (2018) Machine learning-based prediction of clinical pain using multimodal neuroimaging and autonomic metrics. Pain :
Ina Ly, K; Vakulenko-Lagun, Bella; Emblem, Kyrre E et al. (2018) Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI. Sci Rep 8:17062
Ellingsen, Dan-Mikael; Napadow, Vitaly; Protsenko, Ekaterina et al. (2018) Brain Mechanisms of Anticipated Painful Movements and Their Modulation by Manual Therapy in Chronic Low Back Pain. J Pain 19:1352-1365
Sawyer, Kayle S; Maleki, Nasim; Papadimitriou, George et al. (2018) Cerebral white matter sex dimorphism in alcoholism: a diffusion tensor imaging study. Neuropsychopharmacology 43:1876-1883
Lee, Jeungchan; Protsenko, Ekaterina; Lazaridou, Asimina et al. (2018) Encoding of Self-Referential Pain Catastrophizing in the Posterior Cingulate Cortex in Fibromyalgia. Arthritis Rheumatol 70:1308-1318
Cushing, Cody A; Im, Hee Yeon; Adams Jr., Reginald B et al. (2018) Neurodynamics and connectivity during facial fear perception: The role of threat exposure and signal congruity. Sci Rep 8:2776
Izen, Sarah C; Chrastil, Elizabeth R; Stern, Chantal E (2018) Resting State Connectivity Between Medial Temporal Lobe Regions and Intrinsic Cortical Networks Predicts Performance in a Path Integration Task. Front Hum Neurosci 12:415
Kang, Dong-Wha; Kim, Dongho; Chang, Li-Hung et al. (2018) Structural and Functional Connectivity Changes Beyond Visual Cortex in a Later Phase of Visual Perceptual Learning. Sci Rep 8:5186
Farrar, Christian T; Gale, Eric M; Kennan, Richard et al. (2018) CM-101: Type I Collagen-targeted MR Imaging Probe for Detection of Liver Fibrosis. Radiology 287:581-589
Gale, Eric M; Wey, Hsiao-Ying; Ramsay, Ian et al. (2018) A Manganese-based Alternative to Gadolinium: Contrast-enhanced MR Angiography, Excretion, Pharmacokinetics, and Metabolism. Radiology 286:865-872

Showing the most recent 10 out of 1099 publications