Version 1
: Received: 27 August 2024 / Approved: 27 August 2024 / Online: 28 August 2024 (02:56:38 CEST)
How to cite:
Singer, R.; Oganezova, I.; Hu, W.; Ding, Y.; Papaioannou, A.; de Groot, H. J.; Spaink, H. P.; Alia, A. Unveiling the Exquisite Microstructural Details in Zebrafish Brain Non-invasively using Magnetic Resonance Imaging at 28.2 T. Preprints2024, 2024081971. https://doi.org/10.20944/preprints202408.1971.v1
Singer, R.; Oganezova, I.; Hu, W.; Ding, Y.; Papaioannou, A.; de Groot, H. J.; Spaink, H. P.; Alia, A. Unveiling the Exquisite Microstructural Details in Zebrafish Brain Non-invasively using Magnetic Resonance Imaging at 28.2 T. Preprints 2024, 2024081971. https://doi.org/10.20944/preprints202408.1971.v1
Singer, R.; Oganezova, I.; Hu, W.; Ding, Y.; Papaioannou, A.; de Groot, H. J.; Spaink, H. P.; Alia, A. Unveiling the Exquisite Microstructural Details in Zebrafish Brain Non-invasively using Magnetic Resonance Imaging at 28.2 T. Preprints2024, 2024081971. https://doi.org/10.20944/preprints202408.1971.v1
APA Style
Singer, R., Oganezova, I., Hu, W., Ding, Y., Papaioannou, A., de Groot, H. J., Spaink, H. P., & Alia, A. (2024). Unveiling the Exquisite Microstructural Details in Zebrafish Brain Non-invasively using Magnetic Resonance Imaging at 28.2 T. Preprints. https://doi.org/10.20944/preprints202408.1971.v1
Chicago/Turabian Style
Singer, R., Herman P. Spaink and A Alia. 2024 "Unveiling the Exquisite Microstructural Details in Zebrafish Brain Non-invasively using Magnetic Resonance Imaging at 28.2 T" Preprints. https://doi.org/10.20944/preprints202408.1971.v1
Abstract
Zebrafish (Danio rerio) is an important animal model for a wide range of neurodegenerative diseases. However, obtaining the cellular resolution that is essential for studying the zebrafish brain remains challenging as it requires high-spatial resolution and signal-to-noise ratios (SNR). In the current study, we present the first MRI results of the zebrafish brain at the state-of-the-art magnetic field strength of 28.2 T. The performance of MRI at 28.2 T was compared to 17.6 T. A 20% improvement in SNR was observed at 28.2 T as compared to 17.6 T. Excellent contrast, resolution, and SNR allowed the identification of several brain structures. The normative T1 and T2 relaxation values were established over different zebrafish brain structures at 28.2 T. To zoom into the white matter structures, we applied diffusion tensor imaging (DTI) and obtained axial, radial, and mean diffusivity, as well as fractional anisotropy at a very high spatial resolution. Visualization of white matter structures was achieved by short-track track-density imaging by applying the constrained spherical deconvolution method (stTDI CSD). For the first time, an algorithm for stTDI with multi-shell multi-tissue (msmt) CSD was tested on zebrafish brain data. A significant reduction of false-positive tracks from grey matter signals was observed compared to stTDI with single-shell single-tissue (ssst) CSD. This allowed the non-invasive identification of white matter structures at high resolution and contrast. Our results show that ultra-high field DTI and tractography provide reproducible and quantitative maps of fibre organization from tiny zebrafish brains, which can be implemented in the future for a mechanistic understanding of disease-related microstructural changes in zebrafish models of various brain diseases.
Keywords
Magnetic resonance imaging; diffusion MRI; White matter tractography; Zebrafish
Subject
Biology and Life Sciences, Neuroscience and Neurology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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