On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data

By Marijke Welvaert, Yves Rosseel. PLoS ONE, 2013

491 citations recorded by the source corpus.

Signal-to-noise ratio, the ratio between signal and noise, is a quantity that has been well established for MRI data but is still subject of ongoing debate and confusion when it comes to fMRI data. fMRI data are characterised by small activation fluctuations in a background of noise. Depending on how the signal of interest and the noise are identified, signal-to-noise ratio for fMRI data is reported by using many different definitions. Since each definition comes with a different scale, interpreting and comparing signal-to-noise ratio values for fMRI data can be a very challenging job. In this paper, we provide an overview of existing definitions. Further, the relationship with activation detection power is investigated. Reference tables and conversion formulae are provided to facilitate comparability between fMRI studies.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/4a0455aed6f938ea9f85ffa46015cc7fddce46cc

Citations in the corpus

• Precision functional mapping of individual human brains (2017, unknown): “Neuron 95, 791–807, August 16, 2017 ª 2017 Elsevier Inc. 791 Because the temporal signal-to-noise ratio of BOLD MRI data is relatively low (Welvaert and Rosseel, 2013), results obtained in individuals using small quantities of per-subject fMRI data (5–20min) cannot precisely characterize brain…”