# Resource for Quantitative Functional FMRI

> **NIH NIH P41** · HUGO W. MOSER RES INST KENNEDY KRIEGER · 2020 · $1,379,441

## Abstract

OVERALL RESOURCE: Summary
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 ...

## Key facts

- **NIH application ID:** 9997686
- **Project number:** 5P41EB015909-20
- **Recipient organization:** HUGO W. MOSER RES INST KENNEDY KRIEGER
- **Principal Investigator:** Peter CM Van Zijl
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,379,441
- **Award type:** 5
- **Project period:** 2000-07-01 → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9997686

## Citation

> US National Institutes of Health, RePORTER application 9997686, Resource for Quantitative Functional FMRI (5P41EB015909-20). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9997686. Licensed CC0.

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