The Resource for Quantitative Functional Magnetic Resonance Imaging is an interdepartmental and interdisciplinary Resource combining facilities of the F.M. Kirby Research Center for Functional Brain Imaging at the Kennedy Krieger Institute (KKI), the Center for Imaging Science (CIS) in the School of Engineering at Johns Hopkins University (JHU), and the group for Imaging Biostatistics in the Bloomberg School of Public Health at 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 the changing brain throughout our life span, i.e. during neurodevelopment as well as during neurodegeneration. These NIH- funded collaborative projects have a continued need for the development of new quantitative technology to better achieve and further expand the aims in their grants, which focus on topics such as autism, impaired brain development, attention deficit hyperactivity disorder, Alzheimer's disease, multiple sclerosis, schizophrenia, primary progressive aphasia, Huntington's disease and cancer. The F.M. Kirby Center is a leading magnetic resonance technology development center that 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 with a compatible 32-channel coil. CIS is an interdisciplinary research center that brings together a diverse group of scientists whose work rests on theoretical advances in mathematics and statistics, traditional signal and systems processing, and information theory. This Center has an IBM supercomputer that is part of a national supercomputing infrastructure. The Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health has one of the largest groups of biostatisticians focusing on neuroimaging. This Department also boasts a world class computing environment with its high performance computing cluster. Our Resource combines a strong technical environment with unique expertise of the investigators and clinicians in our collaborative 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 four technical research and development (TR&D) projects. TR&D1 focuses on MR spectroscopy (MRS) assessment of tissue changes in metabolite levels; TR&D2 develops MRI methods for detection of glutamate, cerebral blood volume (CBV), flow (CBF), metabolic rate of oxygen (CMRO2), and tissue structure iron and myelin content as reflected in magnetic susceptibility parameters. In TR&D3, new statistical approaches are developed for studying functional connectivity. The methodologies of TR&Ds 1-3 are brought together in TR&D4, where multi-contrast brain atlases are being designed that can be used to study the measured parameters, while taking into account changes in the brain shape. Together with the collaborators we optimize the new approaches to turn them into practical products. 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 this Biomedical Technology Resource Center, now in its 15th year, is to develop technologies that allow quantitative measurement of MRI biomarkers for tracking changes in brain anatomy, function, metabolism and physiology and to provide reference brain atlases for such markers. These developments are pursued in close collaboration with a group of biomedical and clinical experts, who are studying impaired brain development, neurodegeneration, and disorders in which the shape of the brain has changed or is changing.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015909-20
Application #
9997686
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Liu, Guoying
Project Start
2000-07-01
Project End
2021-06-30
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
20
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Hugo W. Moser Research Institute Kennedy Krieger
Department
Type
DUNS #
155342439
City
Baltimore
State
MD
Country
United States
Zip Code
21205
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
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

Showing the most recent 10 out of 450 publications