Literature DB >> 33913194

Quantification of magnetic resonance spectroscopy data using a combined reference: Application in typically developing infants.

Ryan J Larsen1, Borjan Gagoski2,3,4, Sarah U Morton4,5, Yangming Ou2,3,4, Rutvi Vyas2, Jonathan Litt4,5,6, P Ellen Grant2,3,4,5, Bradley P Sutton1,7.   

Abstract

Quantification of proton magnetic resonance spectroscopy (1 H-MRS) data is commonly performed by referencing the ratio of the signal from one metabolite, or metabolite group, to that of another, or to the water signal. Both approaches have drawbacks: ratios of two metabolites can be difficult to interpret because study effects may be driven by either metabolite, and water-referenced data must be corrected for partial volume and relaxation effects in the water signal. Here, we introduce combined reference (CRef) analysis, which compensates for both limitations. In this approach, metabolites are referenced to the combined signal of several reference metabolites or metabolite groups. The approach does not require the corrections necessary for water scaling and produces results that are less sensitive to the variation of any single reference signal, thereby aiding the interpretation of results. We demonstrate CRef analysis using 202 1 H-MRS acquisitions from the brains of 140 infants, scanned at approximately 1 and 3 months of age. We show that the combined signal of seven reference metabolites or metabolite groups is highly correlated with the water signal, corrected for partial volume and relaxation effects associated with cerebral spinal fluid. We also show that the combined reference signal is equally or more uniform across subjects than the reference signals from single metabolites or metabolite groups. We use CRef analysis to quantify metabolite concentration changes during the first several months of life in typically developing infants.
© 2021 John Wiley & Sons, Ltd.

Entities:  

Keywords:  combined reference, GABA, infant development, magnetic resonance spectroscopy, quantification, water scaling

Mesh:

Substances:

Year:  2021        PMID: 33913194     DOI: 10.1002/nbm.4520

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  2 in total

Review 1.  A Role for Data Science in Precision Nutrition and Early Brain Development.

Authors:  Sarah U Morton; Brian J Leyshon; Eleonora Tamilia; Rutvi Vyas; Michaela Sisitsky; Imran Ladha; John B Lasekan; Matthew J Kuchan; P Ellen Grant; Yangming Ou
Journal:  Front Psychiatry       Date:  2022-06-23       Impact factor: 5.435

Review 2.  Edited magnetic resonance spectroscopy in the neonatal brain.

Authors:  Yulu Song; Peter J Lally; Maria Yanez Lopez; Georg Oeltzschner; Mary Beth Nebel; Borjan Gagoski; Steven Kecskemeti; Steve C N Hui; Helge J Zöllner; Deepika Shukla; Tomoki Arichi; Enrico De Vita; Vivek Yedavalli; Sudhin Thayyil; Daniele Fallin; Douglas C Dean; P Ellen Grant; Jessica L Wisnowski; Richard A E Edden
Journal:  Neuroradiology       Date:  2021-10-15       Impact factor: 2.995

  2 in total

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