This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.The overall goal of this project is to bring the instrumental resolution of MR to the level where we can explore the biological spatial limits of functional activation; specifically to achieve array coil, acceleration and sequence innovations to achieve 7 Tesla, 1mm isotropic whole head volumnar EPI in 8 shots.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR014075-10
Application #
7723785
Study Section
Special Emphasis Panel (ZRG1-SSS-X (40))
Project Start
2008-09-01
Project End
2009-08-31
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
10
Fiscal Year
2008
Total Cost
$247,887
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 :
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