Published March 8, 2017
| Version v1
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Figure 3 from: Leonard J, Flournoy J, Lewis-de los Angeles CP, Whitaker K (2017) How much motion is too much motion? Determining motion thresholds by sample size for reproducibility in developmental resting-state MRI. Research Ideas and Outcomes 3: e12569. https://doi.org/10.3897/rio.3.e12569
- 1. Massachusetts Institute of Technology, Cambridge, United States of America
- 2. University of Oregon, Eugene, United States of America
- 3. Northwestern, Evanston, United States of America
- 4. The Alan Turing Institute, London, United Kingdom
Description
Figure 3 -
Out of sample prediction accuracy of autism diagnosis using resting state data as a function of sample size and motion-based exclusion criteria (percentage of fMRI, whole-brain volumes exceeding threshold). Red line is a naive classifier that assumes that all participants share the modal diagnosis (in this case, non-ASD). The black line spans the 5th to 95th percentile accuracy across iterations using a linear SVM, with the black points at the median value. Code and output can be found on GitHub (Flournoy and Leonard 2017).
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- 10.3897/rio.3.e12569 (DOI)