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Model-free analysis in the spectral domain of postmortem mouse brain EPSI reveals inconsistencies with model-based analyses of the free induction decay

View ORCID ProfileScott Trinkle, Gregg Wildenberg, Narayanan Kasthuri, Patrick La Rivière, View ORCID ProfileSean Foxley
doi: https://doi.org/10.1101/2022.02.24.481824
Scott Trinkle
1Department of Radiology, University of Chicago, Chicago, IL, USA
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Gregg Wildenberg
2Department of Neurobiology, University of Chicago, Chicago, IL, USA
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Narayanan Kasthuri
2Department of Neurobiology, University of Chicago, Chicago, IL, USA
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Patrick La Rivière
1Department of Radiology, University of Chicago, Chicago, IL, USA
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Sean Foxley
1Department of Radiology, University of Chicago, Chicago, IL, USA
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  • For correspondence: foxley@uchicago.edu
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Abstract

Purpose Dysmyelinating disorders lead to abnormalities in myelin structure that produce detectable effects in an echo-planar spectroscopic imaging (EPSI) signal. To estimate the voxel-wise proportion of myelin, data are typically fit to compartmental models in the time domain. This work characterizes limitations in these models by comparing high-resolution water spectra measured in postmortem fixed mouse brains to spectra predicted from time-domain models fit to the same data, specifically by comparing spectra from control and shiverer mice, a model for dysmyelination.

Methods Perfusion-fixed, resected control (n = 5) and shiverer (n = 4) mouse brains were imaged using 3D EPSI with 100 µm isotropic resolution. The free induction decay (FID) was sampled every 2.74 ms over 192 echoes and Fourier transformed to produce water spectra with 1.9 Hz resolution. FIDs were also fit to two biophysical models and the resulting fits were converted to spectra with a Fourier transform. Spectral asymmetry was computed and compared before and after fitting the data to models.

Results Spectra derived from both models did not show the magnitude of asymmetric broadening observed in the raw data. Correlations between data- and model-derived asymmetries and estimated frequency shifts are weak, leading to a reduction in spectral sensitivity to changes in white-matter structure after fitting the data to models.

Conclusion The results demonstrate spectral inconsistencies between biophysical model predictions and measured data, promoting the further incorporation of spectral analysis methods to develop and benchmark new model-based approaches.

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 February 25, 2022.
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Model-free analysis in the spectral domain of postmortem mouse brain EPSI reveals inconsistencies with model-based analyses of the free induction decay
Scott Trinkle, Gregg Wildenberg, Narayanan Kasthuri, Patrick La Rivière, Sean Foxley
bioRxiv 2022.02.24.481824; doi: https://doi.org/10.1101/2022.02.24.481824
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Model-free analysis in the spectral domain of postmortem mouse brain EPSI reveals inconsistencies with model-based analyses of the free induction decay
Scott Trinkle, Gregg Wildenberg, Narayanan Kasthuri, Patrick La Rivière, Sean Foxley
bioRxiv 2022.02.24.481824; doi: https://doi.org/10.1101/2022.02.24.481824

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