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The role of auxiliary parameters in evaluating voxel-wise encoding models for 3T and 7T BOLD fMRI data

Moritz Boos, J. Swaroop Guntupalli, Jochem W. Rieger, Michael Hanke
doi: https://doi.org/10.1101/2020.04.07.029397
Moritz Boos
1Applied Neurocognitive Psychology Lab and Cluster of Excellence “Hearing4all”, University of Oldenburg, Oldenburg, Germany
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  • For correspondence: moritz.boos@gmail.com
J. Swaroop Guntupalli
2Vicarious AI, Union City CA, USA
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Jochem W. Rieger
1Applied Neurocognitive Psychology Lab and Cluster of Excellence “Hearing4all”, University of Oldenburg, Oldenburg, Germany
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Michael Hanke
3Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
4Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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Abstract

In neuroimaging, voxel-wise encoding models are a popular tool to predict brain activity elicited by a stimulus. To evaluate the accuracy of these predictions across multiple voxels, one can choose between multiple quality metrics. However, each quality metric requires specifying auxiliary parameters such as the number and selection criteria of voxels, whose influence on model validation is unknown. In this study, we systematically vary these parameters and observe their effects on three common quality metrics of voxel-wise encoding models in two open datasets of 3- and 7-Tesla BOLD fMRI activity elicited by musical stimuli. We show that such auxiliary parameters not only exert substantial influence on model validation, but also differ in how they affect each quality metric. Finally, we give several recommendations for validating voxel-wise encoding models that may limit variability due to different numbers of voxels, voxel selection criteria, and magnetic field strengths.

Footnotes

  • Fixed typos

  • https://github.com/psychoinformatics-de/studyforrest-paper-pandoraencoding

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted April 09, 2020.
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The role of auxiliary parameters in evaluating voxel-wise encoding models for 3T and 7T BOLD fMRI data
Moritz Boos, J. Swaroop Guntupalli, Jochem W. Rieger, Michael Hanke
bioRxiv 2020.04.07.029397; doi: https://doi.org/10.1101/2020.04.07.029397
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The role of auxiliary parameters in evaluating voxel-wise encoding models for 3T and 7T BOLD fMRI data
Moritz Boos, J. Swaroop Guntupalli, Jochem W. Rieger, Michael Hanke
bioRxiv 2020.04.07.029397; doi: https://doi.org/10.1101/2020.04.07.029397

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