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.

Public Health Relevance

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.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015909-14
Application #
8729877
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Liu, Guoying
Project Start
2000-07-01
Project End
2016-08-31
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
14
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Hugo W. Moser Research Institute Kennedy Krieger
Department
Type
DUNS #
City
Baltimore
State
MD
Country
United States
Zip Code
21205
Chen, Lin; Wei, Zhiliang; Chan, Kannie W Y et al. (2018) Protein aggregation linked to Alzheimer's disease revealed by saturation transfer MRI. Neuroimage 188:380-390
Hua, Jun; Blair, Nicholas I S; Paez, Adrian et al. (2018) Altered functional connectivity between sub-regions in the thalamus and cortex in schizophrenia patients measured by resting state BOLD fMRI at 7T. Schizophr Res :
Knutsson, Linda; Xu, Jiadi; Ahlgren, André et al. (2018) CEST, ASL, and magnetization transfer contrast: How similar pulse sequences detect different phenomena. Magn Reson Med 80:1320-1340
Hermans, Lize; Leunissen, Inge; Pauwels, Lisa et al. (2018) Brain GABA Levels Are Associated with Inhibitory Control Deficits in Older Adults. J Neurosci 38:7844-7851
Kamil, Rebecca J; Jacob, Athira; Ratnanather, John Tilak et al. (2018) Vestibular Function and Hippocampal Volume in the Baltimore Longitudinal Study of Aging (BLSA). Otol Neurotol 39:765-771
Liu, Peiying; De Vis, Jill B; Lu, Hanzhang (2018) Cerebrovascular reactivity (CVR) MRI with CO2 challenge: A technical review. Neuroimage :
Hua, Jun; Liu, Peiying; Kim, Tae et al. (2018) MRI techniques to measure arterial and venous cerebral blood volume. Neuroimage :
Li, Yang; Mao, Deng; Li, Zhiqiang et al. (2018) Cardiac-triggered pseudo-continuous arterial-spin-labeling: A cost-effective scheme to further enhance the reliability of arterial-spin-labeling MRI. Magn Reson Med 80:969-975
Wei, Zhiliang; Xu, Jiadi; Liu, Peiying et al. (2018) Quantitative assessment of cerebral venous blood T2 in mouse at 11.7T: Implementation, optimization, and age effect. Magn Reson Med 80:521-528
Li, Wenbo; Xu, Feng; Schär, Michael et al. (2018) Whole-brain arteriography and venography: Using improved velocity-selective saturation pulse trains. Magn Reson Med 79:2014-2023

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