fMRS stimulation paradigms and analysis strategies are highly heterogeneous, partially due to lack of knowledge of the underlying metabolic response function. To better understand the potential consequences of analysis methods, this simulation study evaluates the effect of different glutamate response functions (GRFs) and binning strategies. As the GRF becomes more delayed, analyzing bins from spectra directly after ‘task’ onset results in underestimation of the true change. In moving average analyses, the fitted time-courses co-varied significantly with the input glutamate time-course. Future simulation studies will expand on other variable sources, such as habituation and hemodynamic effects, and macromolecule fitting procedures.
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