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Abstract #4827

Stability of single-subject estimation of glutamate and GABA dynamics in concurrent fMRI-fMRS at 7 T

Shahrokh Abbasi-Rad1,2, Robert Frost1,2, Jean Augustinack1,2, Zoe Kourtzi3, Uzay Emir4, and André van der Kouwe1,2
1Department of Radiology, Harvard Medical School, Boston, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Psychology, University of Cambridge, Cambridge, United Kingdom, 4Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Synopsis

Keywords: Data Processing, Spectroscopy

Motivation: Measuring neurochemical dynamics, particularly the concentrations of GABA and glutamate, at the single-subject level remains challenging due to the low SNR when a small number of transients are used in the averaging window.

Goal(s): To assess the impact of different averaging window sizes on the stability of GABA and glutamate concentration estimates during the time-course of a visual stimulation experiment.

Approach: We analyzed the data using various averaging window sizes to evaluate their effect on concentration stability.

Results: Detecting single-subject changes in Glutamate and GABA remains challenging, even with a window size of 16 representing the largest practical window size in our experiments.

Impact: In single-subject fMRS, choosing averaging window sizes with sufficient SNR is important for reliable measurements of glutamate and GABA dynamics. Further technical development both on the analysis side (temporal fitting) and acquisition side (real-time frequency drift correction) should be explored.

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Keywords