The inhibitory neurotransmitter GABA has a central role in control and tuning of excitatory neuronal activity. GABA can be detected non-invasively using edited 1H magnetic resonance spectroscopy (MRS). Until now, this methodology has largely been confined to those sites that have local MRS expertise, and different implementations make comparison of results between site difficult. The overall goal of this grant is the development of a universal acquisition and processing pipeline for measuring GABA concentration in the human brain. We will develop a single sequence, implemented on all three major vendor platforms, for the macromolecule-suppressed GABA-edited MRS at 3T, the GABA Analysis Toolkit (Gannet) for quantitative data analysis, and demonstrate the cross-platform equivalence of the new measurement. The resulting data acquisition and analysis tools will be made available for dissemination to the clinical neuroscience and neuroimaging communities.

Public Health Relevance

GABA is a neurotransmitter, a chemical that is used for signaling in the brain that can be measured using MRI scanners, a technology that is of wide interest to researchers studying both healthy brain function and diseases of the brain. This project will develop new experimental and data processing tools for measuring GABA, reconcile the GABA values measured by existing techniques, and make this technology available to a large number of research sites worldwide.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB016089-02
Application #
8708074
Study Section
(NOIT)
Program Officer
Liu, Guoying
Project Start
2013-08-01
Project End
2017-07-31
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Neurology
Type
Schools of Medicine
DUNS #
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Harris, Ashley D; Saleh, Muhammad G; Edden, Richard A E (2017) Edited 1 H magnetic resonance spectroscopy in vivo: Methods and metabolites. Magn Reson Med 77:1377-1389
Sanaei Nezhad, Faezeh; Anton, Adriana; Parkes, Laura M et al. (2017) Quantification of glutathione in the human brain by MR spectroscopy at 3 Tesla: Comparison of PRESS and MEGA-PRESS. Magn Reson Med 78:1257-1266
Chan, Kimberly L; Saleh, Muhammad G; Oeltzschner, Georg et al. (2017) Simultaneous measurement of Aspartate, NAA, and NAAG using HERMES spectral editing at 3 Tesla. Neuroimage 155:587-593
Delli Pizzi, Stefano; Chiacchiaretta, Piero; Mantini, Dante et al. (2017) GABA content within medial prefrontal cortex predicts the variability of fronto-limbic effective connectivity. Brain Struct Funct 222:3217-3229
Saleh, Muhammad G; Mikkelsen, Mark; Oeltzschner, Georg et al. (2017) Simultaneous editing of GABA and glutathione at 7T using semi-LASER localization. Magn Reson Med :
Chan, Kimberly L; Snoussi, Karim; Edden, Richard A E et al. (2017) Simultaneous detection of glutathione and lactate using spectral editing at 3 T. NMR Biomed 30:
Solleveld, Michelle M; Schrantee, Anouk; Puts, Nicolaas A J et al. (2017) Age-dependent, lasting effects of methylphenidate on the GABAergic system of ADHD patients. Neuroimage Clin 15:812-818
Delli Pizzi, Stefano; Chiacchiaretta, Piero; Mantini, Dante et al. (2017) Functional and neurochemical interactions within the amygdala-medial prefrontal cortex circuit and their relevance to emotional processing. Brain Struct Funct 222:1267-1279
Mikkelsen, Mark; Barker, Peter B; Bhattacharyya, Pallab K et al. (2017) Big GABA: Edited MR spectroscopy at 24 research sites. Neuroimage 159:32-45
Chan, Kimberly L; Oeltzschner, Georg; Schär, Michael et al. (2017) Spatial Hadamard encoding of J-edited spectroscopy using slice-selective editing pulses. NMR Biomed 30:

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