This P41 Biotechnology Resource Grant application seeks renewed support for our successful efforts to develop and apply innovative neuroimaging technologies within the highly integrated multimodal framework of the Center for Functional Neuroimaging Technologies (CFNT). The overall goal of this established NIBIB Biomedical Technology Resource Center (BTRC) is to provide advanced technology resources to more closely examine, and thus better understand, the human brain in health and disease. To this end, we seek to develop new techniques and advance existing technologies to acquire and analyze functional images of the working brain, with unprecedented physiological precision and spatiotemporal resolution, and to deploy these innovative tools to promote investigation of complex neuroscientific questions. Through coordinated research and development, collaborative research, service use, training and dissemination activities, our BTRC has built a standard of excellence in developing, sharing, and supporting the use of multimodal imaging tools that have consistently advanced capabilities for research that spans many basic science and clinical domains. Central to this effort are our four Technology Research and Development (TRD) projects 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). Directly motivating the Aims of these TRD projects is a strong network of Collaborative Projects, which both challenge the TRDs to continue to innovate the next-generation neuroimaging tools, and reciprocally, employ the new tools we develop to drive their own research forward in new directions. Another essential element in this framework is the extensive application of our resources by a wide and diverse Service Users community. Finally, the TRDs, Collaborative and Service Projects contribute to the BTRC's Training and Dissemination mission, which additionally includes multiple dedicated Fellowships and Workshops, strong web presense, and important industrial partnerships, providing multiple channels to share the knowledge needed to apply the tools we develop with the scientific community locally, nationally, and internationally.

Public Health Relevance

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, this long-running BTRC is helping to 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 Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015896-20
Application #
9518908
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Liu, Guoying
Project Start
2000-09-01
Project End
2019-05-31
Budget Start
2018-06-01
Budget End
2019-05-31
Support Year
20
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
Stockmann, Jason P; Wald, Lawrence L (2018) In vivo B0 field shimming methods for MRI at 7T. Neuroimage 168:71-87
Nasr, Shahin; Tootell, Roger B H (2018) Visual field biases for near and far stimuli in disparity selective columns in human visual cortex. Neuroimage 168:358-365
Zhao, Bo; Setsompop, Kawin; Adalsteinsson, Elfar et al. (2018) Improved magnetic resonance fingerprinting reconstruction with low-rank and subspace modeling. Magn Reson Med 79:933-942
Cohen, Ouri; Ackerman, Jerome L (2018) Ex vivo mouse brain microscopy at 15T with loop-gap RF coil. Magn Reson Imaging 51:1-6
Li, Hua; Nikam, Rahul; Kandula, Vinay et al. (2018) Comparison of NODDI and spherical mean signal for measuring intra-neurite volume fraction. Magn Reson Imaging 57:151-155
Li, Hua; Chow, Ho Ming; Chugani, Diane C et al. (2018) Linking spherical mean diffusion weighted signal with intra-axonal volume fraction. Magn Reson Imaging 57:75-82
Properzi, Michael J; Buckley, Rachel F; Chhatwal, Jasmeer P et al. (2018) Nonlinear Distributional Mapping (NoDiM) for harmonization across amyloid-PET radiotracers. Neuroimage 186:446-454
Aganj, Iman; Harisinghani, Mukesh G; Weissleder, Ralph et al. (2018) Unsupervised Medical Image Segmentation Based on the Local Center of Mass. Sci Rep 8:13012
Amiez, CĂ©line; Wilson, Charles R E; Procyk, Emmanuel (2018) Variations of cingulate sulcal organization and link with cognitive performance. Sci Rep 8:13988
Li, Hua; Chow, Ho Ming; Chugani, Diane C et al. (2018) Minimal number of gradient directions for robust measurement of spherical mean diffusion weighted signal. Magn Reson Imaging 54:148-152

Showing the most recent 10 out of 300 publications