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Related Experiment Video

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GABA quantification in human anterior cingulate cortex.

Jan Weis1, Jonas Persson2, Andreas Frick3

  • 1Department of Medical Physics, Uppsala University Hospital, Uppsala, Sweden.

Plos One
|January 15, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for quantifying brain gamma-aminobutyric acid (GABA) using PRESS and MEGA-PRESS MRI. The findings suggest this approach enhances GABA estimation reliability with metabolite references.

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Area of Science:

  • Neuroscience
  • Magnetic Resonance Imaging
  • Biochemistry

Background:

  • Gamma-aminobutyric acid (GABA) is a key inhibitory neurotransmitter in the human brain.
  • Altered GABA levels are implicated in various neurological and psychiatric disorders, necessitating accurate quantification methods.

Purpose of the Study:

  • To propose and validate a combined PRESS and MEGA-PRESS magnetic resonance imaging (MRI) acquisition strategy for absolute GABA quantification.
  • To compare GABA concentration estimates derived from metabolite references (tCho, tCr, tNAA) against water-referenced quantification.
  • To demonstrate the efficacy of the QuasarX algorithm with a specific in vitro basis set for fitting MEGA-PRESS spectra.

Main Methods:

  • Utilized a 3T MRI scanner with MEGA-PRESS sequences for GABA quantification in 13 volunteers.
  • Employed interleaved water referencing for real-time B0 drift correction and pulse frequency adjustments.
  • Acquired reference metabolite concentrations using PRESS sequences and corrected absolute concentrations for tissue water fractions and relaxation effects.

Main Results:

  • Water-referenced GABA estimations were significantly higher than those obtained using metabolite references (tCho, tCr, tNAA).
  • The QuasarX algorithm, combined with an in vitro basis set, improved the reliability of GABA+ spectral fitting.
  • The proposed method allows for the use of tCho, tCr, and tNAA as internal concentration references for GABA quantification.

Conclusions:

  • The developed GABA quantification method using PRESS and MEGA-PRESS acquisitions reliably utilizes metabolite references.
  • This approach holds significant potential for improving the accuracy and reliability of GABA estimation in clinical and research settings.
  • The QuasarX algorithm enhances spectral fitting, contributing to more dependable GABA quantification.