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 #
5P41EB015896-18
Application #
9099838
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Liu, Guoying
Project Start
2000-09-01
Project End
2019-05-31
Budget Start
2016-06-01
Budget End
2017-05-31
Support Year
18
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
Polimeni, Jonathan R; Wald, Lawrence L (2018) Magnetic Resonance Imaging technology-bridging the gap between noninvasive human imaging and optical microscopy. Curr Opin Neurobiol 50:250-260
Esch, Lorenz; Sun, Limin; Klüber, Viktor et al. (2018) MNE Scan: Software for real-time processing of electrophysiological data. J Neurosci Methods 303:55-67
Hari, Riitta; Baillet, Sylvain; Barnes, Gareth et al. (2018) IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG). Clin Neurophysiol 129:1720-1747
Siless, Viviana; Chang, Ken; Fischl, Bruce et al. (2018) AnatomiCuts: Hierarchical clustering of tractography streamlines based on anatomical similarity. Neuroimage 166:32-45
Khan, Sheraz; Hashmi, Javeria A; Mamashli, Fahimeh et al. (2018) Maturation trajectories of cortical resting-state networks depend on the mediating frequency band. Neuroimage 174:57-68
Fan, Qiuyun; Nummenmaa, Aapo; Wichtmann, Barbara et al. (2018) Validation of diffusion MRI estimates of compartment size and volume fraction in a biomimetic brain phantom using a human MRI scanner with 300?mT/m maximum gradient strength. Neuroimage 182:469-478
Safadi, Ziad; Grisot, Giorgia; Jbabdi, Saad et al. (2018) Functional Segmentation of the Anterior Limb of the Internal Capsule: Linking White Matter Abnormalities to Specific Connections. J Neurosci 38:2106-2117
Bilgic, Berkin; Kim, Tae Hyung; Liao, Congyu et al. (2018) Improving parallel imaging by jointly reconstructing multi-contrast data. Magn Reson Med 80:619-632
Jahani, Sahar; Setarehdan, Seyed K; Boas, David A et al. (2018) Motion artifact detection and correction in functional near-infrared spectroscopy: a new hybrid method based on spline interpolation method and Savitzky-Golay filtering. Neurophotonics 5:015003
Chang, Ken; Bai, Harrison X; Zhou, Hao et al. (2018) Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging. Clin Cancer Res 24:1073-1081

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