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Dynamic off-resonance correction improves functional image analysis in fMRI of awake behaving non-human primates

View ORCID ProfileMo Shahdloo, View ORCID ProfileNima Khalighinejad, Luke Priestley, View ORCID ProfileMatthew Rushworth, View ORCID ProfileMark Chiew
doi: https://doi.org/10.1101/2023.10.18.562796
Mo Shahdloo
1Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
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Nima Khalighinejad
1Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
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Luke Priestley
1Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
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Matthew Rushworth
1Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
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Mark Chiew
2Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
3Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
4Medical Biophysics, University of Toronto, Toronto, Canada
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  • For correspondence: mark.chiew@utoronto.ca
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Abstract

Use of functional MRI in awake non-human primate (NHPs) has recently increased. Scanning animals while awake makes data collection possible in the absence of anaesthetic modulation and with an extended range of possible experimental designs. Robust awake NHP imaging however is challenging due to the strong artifacts caused by time-varying off-resonance changes introduced by the animal’s body motion. Recently, an image reconstruction technique has been proposed to estimate these off-resonance changes using the navigator data that is typically collected during fMRI scans to correct the data and compensate for the changes. In this study, we sought to thoroughly investigate the effect of this correction on the brain activation estimates using extended awake NHP data. Our results show significant improvements in image fidelity using our proposed correction strategy, as well as greatly enhanced and more reliable activation estimates in GLM analyses.

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-NC-ND 4.0 International license.
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Posted October 20, 2023.
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Dynamic off-resonance correction improves functional image analysis in fMRI of awake behaving non-human primates
Mo Shahdloo, Nima Khalighinejad, Luke Priestley, Matthew Rushworth, Mark Chiew
bioRxiv 2023.10.18.562796; doi: https://doi.org/10.1101/2023.10.18.562796
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Dynamic off-resonance correction improves functional image analysis in fMRI of awake behaving non-human primates
Mo Shahdloo, Nima Khalighinejad, Luke Priestley, Matthew Rushworth, Mark Chiew
bioRxiv 2023.10.18.562796; doi: https://doi.org/10.1101/2023.10.18.562796

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