Literature DB >> 31782845

Influence of fitting approaches in LCModel on MRS quantification focusing on age-specific macromolecules and the spline baseline.

Małgorzata Marjańska1, Melissa Terpstra1.   

Abstract

Quantification of neurochemical concentrations from 1 H MR spectra is challenged by incomplete knowledge of contributing signals. Some experimental conditions hinder the acquisition of artifact-free spectra and impede the acquisition of condition-specific macromolecule (MM) spectra. This work studies differences caused by fitting solutions routinely employed to manage resonances from MM and lipids. High quality spectra (free of residual water and lipid artifacts and for which condition-specific MM spectra are available) are used to understand the influences of spline baseline flexibility and noncondition-specific MM on neurochemical quantification. Fitting with moderate spline flexibility or using noncondition-specific MM led to quantification that differed from when an appropriate, fully specified model was used. This occurred for all neurochemicals to an extent that varied in magnitude among and within approaches. The spline baseline was more tortuous when less constrained and when used in combination with noncondition-specific MM. Increasing baseline flexibility did not reproduce concentrations quantified under appropriate conditions when spectra were fitted using a MM spectrum measured from a mismatched cohort. Using the noncondition-specific MM spectrum led to quantification differences that were comparable in size with using a fitting model that had moderate freedom, and these influences were additive. Although goodness of fit was better with greater fitting flexibility, quantification differed from when fitting with a fully specified model that is appropriate for low noise data. Notable GABA and PE concentration differences occurred with lower estimates of measurement error when fitting with greater spline flexibility or noncondition-specific MM. These data support the need for improved metrics of goodness of fit. Attempting to correct for artifacts or absence of a condition-specific MM spectrum via increased spline flexibility and usage of noncondition-specific MM spectra cannot replace artifact-free data quantified with a condition-specific MM spectrum.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  7 T; LCModel; macromolecules; magnetic resonance spectroscopy; ultrahigh field

Mesh:

Substances:

Year:  2019        PMID: 31782845      PMCID: PMC7255930          DOI: 10.1002/nbm.4197

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


  40 in total

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Authors:  S W Provencher
Journal:  NMR Biomed       Date:  2001-06       Impact factor: 4.044

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Journal:  NMR Biomed       Date:  2008-06       Impact factor: 4.044

5.  Region-specific aging of the human brain as evidenced by neurochemical profiles measured noninvasively in the posterior cingulate cortex and the occipital lobe using 1H magnetic resonance spectroscopy at 7 T.

Authors:  Małgorzata Marjańska; J Riley McCarten; James Hodges; Laura S Hemmy; Andrea Grant; Dinesh K Deelchand; Melissa Terpstra
Journal:  Neuroscience       Date:  2017-05-03       Impact factor: 3.590

6.  Absolute quantitation of brain metabolites with respect to heterogeneous tissue compositions in (1)H-MR spectroscopic volumes.

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7.  Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo.

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8.  Quantification of vitamin C in the rat brain in vivo using short echo-time 1H MRS.

Authors:  Melissa Terpstra; Ivan Tkác; Raghavendra Rao; Rolf Gruetter
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9.  Localized 1H NMR measurements of gamma-aminobutyric acid in human brain in vivo.

Authors:  D L Rothman; O A Petroff; K L Behar; R H Mattson
Journal:  Proc Natl Acad Sci U S A       Date:  1993-06-15       Impact factor: 11.205

Review 10.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

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  6 in total

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Authors:  Georg Oeltzschner; Helge J Zöllner; Steve C N Hui; Mark Mikkelsen; Muhammad G Saleh; Sofie Tapper; Richard A E Edden
Journal:  J Neurosci Methods       Date:  2020-06-27       Impact factor: 2.390

2.  Comparison of linear combination modeling strategies for edited magnetic resonance spectroscopy at 3 T.

Authors:  Helge J Zöllner; Sofie Tapper; Steve C N Hui; Peter B Barker; Richard A E Edden; Georg Oeltzschner
Journal:  NMR Biomed       Date:  2021-09-23       Impact factor: 4.044

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Authors:  Helge J Zöllner; Michal Považan; Steve C N Hui; Sofie Tapper; Richard A E Edden; Georg Oeltzschner
Journal:  NMR Biomed       Date:  2021-02-02       Impact factor: 4.044

4.  Measurement of glucose metabolism in the occipital lobe and frontal cortex after oral administration of [1-13C]glucose at 9.4 T.

Authors:  Theresia Ziegs; Johanna Dorst; Loreen Ruhm; Nikolai Avdievitch; Anke Henning
Journal:  J Cereb Blood Flow Metab       Date:  2022-05-27       Impact factor: 6.960

5.  FSL-MRS: An end-to-end spectroscopy analysis package.

Authors:  William T Clarke; Charlotte J Stagg; Saad Jbabdi
Journal:  Magn Reson Med       Date:  2020-12-06       Impact factor: 3.737

6.  In vivo macromolecule signals in rat brain 1 H-MR spectra at 9.4T: Parametrization, spline baseline estimation, and T2 relaxation times.

Authors:  Dunja Simicic; Veronika Rackayova; Lijing Xin; Ivan Tkáč; Tamas Borbath; Zenon Starcuk; Jana Starcukova; Bernard Lanz; Cristina Cudalbu
Journal:  Magn Reson Med       Date:  2021-07-15       Impact factor: 4.668

  6 in total

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