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Interpreting Null Models of Resting-State Functional MRI

View ORCID ProfileRaphaël Liégeois, View ORCID ProfileB. T. Thomas Yeo, View ORCID ProfileDimitri Van De Ville
doi: https://doi.org/10.1101/2021.03.30.437514
Raphaël Liégeois
aInstitute of Bioengineering, Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Switzerland
bDepartment of Radiology and Medical Informatics, University of Geneva, Switzerland
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  • For correspondence: Raphael.Liegeois@epfl.ch
B. T. Thomas Yeo
cDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore
dN.1 Institute for Health & Institute for Digital Medicine (WisDM), National University of Singapore, Singapore
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Dimitri Van De Ville
aInstitute of Bioengineering, Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Switzerland
bDepartment of Radiology and Medical Informatics, University of Geneva, Switzerland
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Abstract

Null models are necessary for assessing whether a dataset exhibits non-trivial statistical properties. These models have recently gained interest in the neuroimaging community as means to explore dynamic properties of functional Magnetic Resonance Imaging (fMRI) time series. Interpretation of null-model testing in this context may not be straightforward because (i) null hypotheses associated to different null models are sometimes unclear and (ii) fMRI metrics might be ‘trivial’, i.e. preserved under the null hypothesis, and still be useful in neuroimaging applications. In this commentary, we review several commonly used null models of fMRI time series and discuss the interpretation of the corresponding tests. We argue that, while null-model testing allows for a better characterization of the statistical properties of fMRI time series and associated metrics, it should not be considered as a mandatory validation step to assess their relevance in neuroimaging applications.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
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 4.0 International license.
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Posted March 31, 2021.
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Interpreting Null Models of Resting-State Functional MRI
Raphaël Liégeois, B. T. Thomas Yeo, Dimitri Van De Ville
bioRxiv 2021.03.30.437514; doi: https://doi.org/10.1101/2021.03.30.437514
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Interpreting Null Models of Resting-State Functional MRI
Raphaël Liégeois, B. T. Thomas Yeo, Dimitri Van De Ville
bioRxiv 2021.03.30.437514; doi: https://doi.org/10.1101/2021.03.30.437514

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