The Resource for Quantitative Functional Magnetic Resonance Imaging is an interdepartmental and interdisciplinary laboratory combining facilities of the F.M. Kirby Research Center for Functional Brain Imaging at the Hugo Moser Research Institute at Kennedy Krieger (KKI) and the Center for Imaging Science (CIS) at Johns Hopkins University (JHU). This Resource Center is dedicated to using its unique expertise to design novel MRI and MRS data acquisition and processing technology in order to facilitate the biomedical research of a large community of clinicians and neuroscientists in Maryland and throughout the USA, with a special focus on brain development, i.e. the changing brain throughout our life span. These NIH-funded driving biomedical projects have a continued need for the development of new quantitative technology to better achieve the aims in their grants, which focus on topics such as learning disabilities, impaired brain development, inherited metabolic disorders, attention deficit, neurodegeneration, multiple sclerosis, schizophrenia, and cancer. The Kirby Center has 3T and 7T state of the art scanners equipped with parallel imaging capabilities (8, 16, and 32-channel receive coils), and a dual transmit body coil at 3T. The 7T is to be extended with a 8-channel multi-transmit system. CIS has an IBM supercomputer that is part of a national supercomputing infrastructure. Our Resource combines a strong technical environment with unique expertise of the collaborators in our driving biomedical projects, who are continuously asking questions to improve technology for their studies in children, the elderly, and subjects with neurological and psychiatric disorders. These needs are reflected in the proposed developments in our technical research and development (TR&D) projects that focus on MRI and MR spectroscopy (MRS) assessment of tissue changes in metabolite levels, structure, physiology, and brain functioning when the brain is changing size during development. The resource provides training in these new acquisition and processing technologies and has a longstanding history of disseminating them to other research centers and hospitals.
The goal of the resource, now in its 10th year, is to develop technologies that allow quantitative measurement of MRI biomarkers for tracking changes in brain anatomy, function, metabolism and physiology. These developments are driven by the needs of our associated biomedical projects, who are studying impaired brain development, neurodegeneration.
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|Snoussi, Karim; Gillen, Joseph S; Horska, Alena et al. (2015) Comparison of brain gray and white matter macromolecule resonances at 3 and 7 Tesla. Magn Reson Med 74:607-13|
|Gao, Fei; Wang, Guangbin; Ma, Wen et al. (2015) Decreased auditory GABA+ concentrations in presbycusis demonstrated by edited magnetic resonance spectroscopy. Neuroimage 106:311-6|
|Bonekamp, David; Barker, Peter B; Leigh, Richard et al. (2015) Susceptibility-based analysis of dynamic gadolinium bolus perfusion MRI. Magn Reson Med 73:544-54|
|Younes, Laurent; Albert, Marilyn; Miller, Michael I et al. (2014) Inferring changepoint times of medial temporal lobe morphometric change in preclinical Alzheimer's disease. Neuroimage Clin 5:178-87|
|Shou, Haochang; Eloyan, Ani; Nebel, Mary Beth et al. (2014) Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. Neuroimage 102 Pt 2:938-44|
|Cheng, Ying; van Zijl, Peter C M; Pekar, James J et al. (2014) Three-dimensional acquisition of cerebral blood volume and flow responses during functional stimulation in a single scan. Neuroimage 103:533-41|
|Fan, Qiuyun; Anderson, Adam W; Davis, Nicole et al. (2014) Structural connectivity patterns associated with the putative visual word form area and children's reading ability. Brain Res 1586:118-29|
|Sakamoto, Ryo; Mori, Susumu; Miller, Michael I et al. (2014) Detection of time-varying structures by large deformation diffeomorphic metric mapping to aid reading of high-resolution CT images of the lung. PLoS One 9:e85580|
|Wu, Dan; Reisinger, Dominik; Xu, Jiadi et al. (2014) Localized diffusion magnetic resonance micro-imaging of the live mouse brain. Neuroimage 91:12-20|
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