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Abstract #2338

Can measures for evaluating gambling strategies inform decisions about fMRI pipelines?

David Paul McAllindon1, Steve Patterson1, Chris Van Bowen1, Christopher O'Grady1, Jeff Kowalski1, and Steven Beyea1

1Biomedical Translational Imaging Center, IWK Health Center, Halifax, NS, Canada

In single-subject fMRI such as is used in presurgical mapping, processing decisions and choice of threshold can greatly affect the activation maps. In order to provide support for making these decisions, we propose a self-similarity approach that uses comparisons across randomly-created split-halves of the data and evaluating the maps using measures that come from a gambling model - the Bookmaker Informedness, Markedness and Matthews Correlation Coefficient - using an fMRI simulation. Early results indicate that features of Informedness and Matthews Correlation Coefficient data may be useful for making pipeline and threshold decisions.

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