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Evidence for Bias of Genetic Ancestry in Resting State Functional MRI

View ORCID ProfileAndre Altmann, View ORCID ProfileJanaina Mourao-Miranda
doi: https://doi.org/10.1101/440776
Andre Altmann
*Centre for Medical Image Computing, University College London, UK
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Janaina Mourao-Miranda
*Centre for Medical Image Computing, University College London, UK
†Max Planck University College London Centre for Computational Psychiatry and Ageing Research University College London, UK
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ABSTRACT

Resting state functional magnetic resonance imaging (rs-fMRI) is a popular imaging modality for mapping the functional connectivity of the brain. Rs-fMRI is, just like other neuroimaging modalities, subject to a series of technical and subject level biases that change the inferred connectivity pattern. In this work we predicted genetic ancestry from rs-fMRI connectivity data at very high performance (area under the ROC curve of 0.93). Thereby, we demonstrated that genetic ancestry is encoded in the functional connectivity pattern of the brain at rest. Consequently, genetic ancestry constitutes a bias that should be accounted for in the analysis of rs-fMRI data.

Footnotes

  • A.A. holds an Medical Research Council eMedLab Medical Bioinformatics Career Development Fellowship. This work was supported by the Medical Research Council [grant number MR/L016311/1]. JMM holds a Wellcome Trust Senior Research Fellowship in Basic Biomedical Science [grant number WT102845/Z/13/Z].

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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-NC-ND 4.0 International license.
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Posted October 11, 2018.
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Evidence for Bias of Genetic Ancestry in Resting State Functional MRI
Andre Altmann, Janaina Mourao-Miranda
bioRxiv 440776; doi: https://doi.org/10.1101/440776
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Evidence for Bias of Genetic Ancestry in Resting State Functional MRI
Andre Altmann, Janaina Mourao-Miranda
bioRxiv 440776; doi: https://doi.org/10.1101/440776

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