Designing GABA-edited magnetic resonance spectroscopy studies: Considerations of scan duration, signal-to-noise ratio and sample size

Journal of Neuroscience Methods
Mark MikkelsenAshley D Harris

Abstract

The relationships between scan duration, signal-to-noise ratio (SNR) and sample size must be considered and understood to design optimal GABA-edited magnetic resonance spectroscopy (MRS) studies. Simulations investigated the effects of signal averaging on SNR, measurement error and group-level variance against a known ground truth. Relative root mean square errors (measurement error) and coefficients of variation (group-level variance) were calculated. GABA-edited data from 18 participants acquired from five voxels were used to examine the relationships between scan duration, SNR and quantitative outcomes in vivo. These relationships were then used to determine the sample sizes required to observe different effect sizes. In both simulated and in vivo data, SNR increased with the square root of the number of averages. Both measurement error and group-level variance were shown to follow an inverse-square-root function, indicating no significant impact of cumulative artifacts. Comparisons between the first two-thirds of the data and the full dataset showed no statistical difference in group-level variance. There was, however, some variability across the five voxels depending on SNR, which impacted the sample sizes needed to detect...Continue Reading

Citations

Apr 17, 2020·Autism Research : Official Journal of the International Society for Autism Research·Tamar KolodnyScott O Murray
Jan 17, 2020·NMR in Biomedicine·Muhammad G SalehEric C Porges
Apr 27, 2021·Brain Structure & Function·I Betina Ip, Holly Bridge
Jun 29, 2021·The Journal of Pain : Official Journal of the American Pain Society·Aimie L PeekTrudy Rebbeck
Jul 24, 2021·Cerebral Cortex Communications·Geetanjali MurariLinda Mah
Sep 15, 2021·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Sofie TapperRichard A E Edden
Sep 4, 2021·Communications Biology·Nina DolfenBradley R King

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