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Abstract #5241

The consequences of statistical tests on proxy variables, an application to short-TE as an estimation for MEGA-edited GABA

Karl Landheer1, Michael Treacy2, and Christoph Juchem3
1Regeneron Genetics Center, Tarrytown, NY, United States, 2Massachusetts General Hospital, Boston, MA, United States, 3Medical University of Vienna, Vienna, Austria

Synopsis

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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Keywords