The Resource for Quantitative Functional Magnetic Resonance Imaging is an interdepartmental and interdisciplinary laboratory combining facilities of the P.M. Kirby Research Center for Functional Brain Imaging at the Kennedy Krieger Institute (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 at several institutions in Maryland and throughout the USA, with a special focus on pediatric and neurodevelopmental applications. These NIH-funded researchers 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 mental retardation, trauma, impaired brain development, attention, working memory, psychosis, cancer, stroke, and the understanding of brain function. The Kirby Center has 1.5T and 3T state of the art scanners equipped with parallel imaging capabilities and high-end (4.5 and 8 G/cm whole body) gradients, and will be extended with a wide-bore 7T scanner, where important benefits such as higher signal to noise and better signal dispersion for MR spectroscopy are expected. 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 especially valuable for studies in children, the elderly, and subjects with neurological and psychiatric disorders. This is reflected in the technical research and development (TRD) projects that focus on reducing the need for compliance in difficult populations (the very young, the elderly, and the mentally impaired) and on multi-modality assessment of tissue changes, arid apparent alterations in brain activation and/or pathology, when the brain ? ?

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR015241-08
Application #
7499117
Study Section
Special Emphasis Panel (ZRG1-SBIB-K (40))
Program Officer
Levy, Abraham
Project Start
2000-07-01
Project End
2011-08-31
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
8
Fiscal Year
2008
Total Cost
$1,013,798
Indirect Cost
Name
Hugo W. Moser Research Institute Kennedy Krieger
Department
Type
DUNS #
155342439
City
Baltimore
State
MD
Country
United States
Zip Code
21205
Aboud, Katherine S; Barquero, Laura A; Cutting, Laurie E (2018) Prefrontal mediation of the reading network predicts intervention response in dyslexia. Cortex 101:96-106
Albert, Marilyn; Zhu, Yuxin; Moghekar, Abhay et al. (2018) Predicting progression from normal cognition to mild cognitive impairment for individuals at 5 years. Brain :
Calabresi, Peter A; van Zijl, Peter Cm (2017) Ultra-high-field (7.0 Tesla and above) MRI is now necessary to make the next step forward in understanding MS pathophysiology - Commentary. Mult Scler 23:376-377
Gross, Alden L; Mungas, Dan M; Leoutsakos, Jeannie-Marie S et al. (2016) Alzheimer's disease severity, objectively determined and measured. Alzheimers Dement (Amst) 4:159-168
Harrison, D M; Li, X; Liu, H et al. (2016) Lesion Heterogeneity on High-Field Susceptibility MRI Is Associated with Multiple Sclerosis Severity. AJNR Am J Neuroradiol 37:1447-53
Bailey, Stephen; Hoeft, Fumiko; Aboud, Katherine et al. (2016) Anomalous gray matter patterns in specific reading comprehension deficit are independent of dyslexia. Ann Dyslexia 66:256-274
Tang, Xiaoying; Holland, Dominic; Dale, Anders M et al. (2015) APOE Affects the Volume and Shape of the Amygdala and the Hippocampus in Mild Cognitive Impairment and Alzheimer's Disease: Age Matters. J Alzheimers Dis 47:645-60
Harrison, Daniel M; Oh, Jiwon; Roy, Snehashis et al. (2015) Thalamic lesions in multiple sclerosis by 7T MRI: Clinical implications and relationship to cortical pathology. Mult Scler 21:1139-50
Matsui, Joy T; Vaidya, Jatin G; Wassermann, Demian et al. (2015) Prefrontal cortex white matter tracts in prodromal Huntington disease. Hum Brain Mapp 36:3717-32
Tang, Xiaoying; Holland, Dominic; Dale, Anders M et al. (2015) Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer's disease. J Alzheimers Dis 44:599-611

Showing the most recent 10 out of 371 publications