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.
|Kurcyus, Katarzyna; Annac, Efsun; Hanning, Nina M et al. (2018) Opposite Dynamics of GABA and Glutamate Levels in the Occipital Cortex during Visual Processing. J Neurosci 38:9967-9976|
|Wei, Zhiliang; Chen, Lin; Lin, Zixuan et al. (2018) Optimization of phase-contrast MRI for the estimation of global cerebral blood flow of mice at 11.7T. Magn Reson Med :|
|Langkammer, Christian; Schweser, Ferdinand; Shmueli, Karin et al. (2018) Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge. Magn Reson Med 79:1661-1673|
|Deligiannidis, Kristina M; Fales, Christina L; Kroll-Desrosiers, Aimee R et al. (2018) Resting-state functional connectivity, cortical GABA, and neuroactive steroids in peripartum and peripartum depressed women: a functional magnetic imaging and resonance study. Neuropsychopharmacology :|
|Miller, Michael I; Arguillère, Sylvain; Tward, Daniel J et al. (2018) Computational anatomy and diffeomorphometry: A dynamical systems model of neuroanatomy in the soft condensed matter continuum. Wiley Interdiscip Rev Syst Biol Med 10:e1425|
|Chan, Kimberly L; Ouwerkerk, Ronald; Barker, Peter B (2018) Water suppression in the human brain with hypergeometric RF pulses for single-voxel and multi-voxel MR spectroscopy. Magn Reson Med 80:1298-1306|
|Barber, Anita D; Lindquist, Martin A; DeRosse, Pamela et al. (2018) Dynamic Functional Connectivity States Reflecting Psychotic-like Experiences. Biol Psychiatry Cogn Neurosci Neuroimaging 3:443-453|
|Oeltzschner, Georg; Snoussi, Karim; Puts, Nicolaas A et al. (2018) Effects of eddy currents on selective spectral editing experiments at 3T. J Magn Reson Imaging 47:673-681|
|Peng, Shin-Lei; Chen, Xi; Li, Yang et al. (2018) Age-related changes in cerebrovascular reactivity and their relationship to cognition: A four-year longitudinal study. Neuroimage 174:257-262|
|Cao, Guanmei; Edden, Richard A E; Gao, Fei et al. (2018) Reduced GABA levels correlate with cognitive impairment in patients with relapsing-remitting multiple sclerosis. Eur Radiol 28:1140-1148|
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