On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data
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DOI: 10.1371/journal.pone.0077089
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Cited by:
- Sam Efromovich & Jiayi Wu, 2018. "Wavelet Analysis of Big Data Contaminated by Large Noise in an fMRI Study of Neuroplasticity," Methodology and Computing in Applied Probability, Springer, vol. 20(4), pages 1381-1402, December.
- Hoang-Dung Nguyen & Keum-Shik Hong & Yong-Il Shin, 2016. "Bundled-Optode Method in Functional Near-Infrared Spectroscopy," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-23, October.
- Robert C Wilson & Yael Niv, 2015. "Is Model Fitting Necessary for Model-Based fMRI?," PLOS Computational Biology, Public Library of Science, vol. 11(6), pages 1-21, June.
- Etay Hay & Petra Ritter & Nancy J Lobaugh & Anthony R McIntosh, 2017. "Multiregional integration in the brain during resting-state fMRI activity," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-20, March.
- Daniel Spencer & Rajarshi Guhaniyogi & Raquel Prado, 2020. "Joint Bayesian Estimation of Voxel Activation and Inter-regional Connectivity in fMRI Experiments," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 845-869, December.
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