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 #
1R01EB016089-01A1
Application #
8577507
Study Section
Special Emphasis Panel (NOIT)
Program Officer
Liu, Guoying
Project Start
2013-08-01
Project End
2017-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
1
Fiscal Year
2013
Total Cost
$380,354
Indirect Cost
$145,362
Name
Johns Hopkins University
Department
Neurology
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Rowland, Laura M; Summerfelt, Ann; Wijtenburg, S Andrea et al. (2016) Frontal Glutamate and γ-Aminobutyric Acid Levels and Their Associations With Mismatch Negativity and Digit Sequencing Task Performance in Schizophrenia. JAMA Psychiatry 73:166-74
Edden, Richard A E; Oeltzschner, Georg; Harris, Ashley D et al. (2016) Prospective frequency correction for macromolecule-suppressed GABA editing at 3T. J Magn Reson Imaging 44:1474-1482
van Bussel, Frank C G; Backes, Walter H; Hofman, Paul A M et al. (2016) Increased GABA concentrations in type 2 diabetes mellitus are related to lower cognitive functioning. Medicine (Baltimore) 95:e4803
Puts, Nicolaas A J; Wodka, Ericka L; Harris, Ashley D et al. (2016) Reduced GABA and altered somatosensory function in children with autism spectrum disorder. Autism Res :
Landim, Ricardo C G; Edden, Richard A E; Foerster, Bernd et al. (2016) Investigation of NAA and NAAG dynamics underlying visual stimulation using MEGA-PRESS in a functional MRS experiment. Magn Reson Imaging 34:239-45
Chan, Kimberly L; Puts, Nicolaas A J; Snoussi, Karim et al. (2016) Echo time optimization for J-difference editing of glutathione at 3T. Magn Reson Med :
Saleh, Muhammad G; Oeltzschner, Georg; Chan, Kimberly L et al. (2016) Simultaneous edited MRS of GABA and glutathione. Neuroimage 142:576-582
Heba, Stefanie; Puts, Nicolaas A J; Kalisch, Tobias et al. (2016) Local GABA Concentration Predicts Perceptual Improvements After Repetitive Sensory Stimulation in Humans. Cereb Cortex 26:1295-301
Rowland, L M; Krause, B W; Wijtenburg, S A et al. (2016) Medial frontal GABA is lower in older schizophrenia: a MEGA-PRESS with macromolecule suppression study. Mol Psychiatry 21:198-204
Oeltzschner, Georg; Puts, Nicolaas A J; Chan, Kimberly L et al. (2016) Dual-volume excitation and parallel reconstruction for J-difference-edited MR spectroscopy. Magn Reson Med :

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