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Linewidth-related bias in modelled concentration estimates from GABA-edited 1 H-MRS.

Alexander R CravenTiffany K BellLars ErslandAshley D HarrisKenneth HugdahlGeorg Oeltzschner
Published in: bioRxiv : the preprint server for biology (2024)
To assess the degree to which aspects of linewidth, lineshape and SNR may confound GABA+ estimates, a collection of in-vivo datasets were quantified with six modelling algorithms, with linebroadening and SNR varied experimentally. Most algorithms showed a strong association between GABA+ estimate and Lorentzian linebroadening (2-5% decrease per Hz), with weaker effects for Gaussian broadening. This indicates a potentially significant confound in cases of differing relaxation parameters between groups or experimental conditions.
Keyphrases
  • machine learning
  • deep learning
  • crispr cas
  • single molecule
  • single cell