Keywords: Spectroscopy, Analysis/Processing, Spectroscopy, GABA
Motivation: Certain studies use short-TE MRS to estimate metabolites such as gamma-aminobutyric acid. The findings of such studies hinge on the correlation of this technique to the gold-standard edited MRS technique.
Goal(s): We investigate how the false negative rate and false positive rate of studies vary as a function of correlation between short-TE and MEGA-edited metabolite estimates.
Approach: Simulated data was used to numerically estimate the false positive and false negative rates, using parameters obtained from the literature.
Results: We show that these studies can have largely inflated false positive and false negative rates as compared to their nominally designed values.
Impact: The false negative and false positive rate can be markedly inflated when using short-TE MRS to estimate metabolites such as gamma-aminobutyric acid. This calls for increased caution in interpreting results, and the accommodation of these effects when designing statistical analyses.
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