Leiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2301 RA Leiden, The Netherlands.
Institute of Biology, Leiden University, Einsteinweg 55, 2301 RA Leiden, The Netherlands.
Molecules. 2024 Sep 29;29(19):4637. doi: 10.3390/molecules29194637.
Zebrafish () 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 and 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. Visualisation 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 in 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 organisation 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.
斑马鱼()是研究多种神经退行性疾病的重要动物模型。然而,获得研究斑马鱼大脑所必需的细胞分辨率仍然具有挑战性,因为这需要高空间分辨率和信噪比(SNR)。在本研究中,我们首次在 28.2T 的最新磁场强度下展示了斑马鱼大脑的 MRI 结果。比较了 28.2T 和 17.6T 的 MRI 性能。与 17.6T 相比,在 28.2T 下观察到 SNR 提高了 20%。出色的对比度、分辨率和 SNR 允许识别出几个大脑结构。在 28.2T 下,针对不同的斑马鱼大脑结构建立了规范和弛豫值。为了放大白质结构,我们应用了扩散张量成像(DTI),并在非常高的空间分辨率下获得了轴向、径向和平均扩散系数以及各向异性分数。通过应用约束球反卷积方法(stTDI CSD)进行短轨迹轨迹密度成像,实现了对白质结构的可视化。首次在斑马鱼脑数据上测试了具有多壳多组织(msmt)CSD 的 stTDI 算法。与单壳单组织(ssst)CSD 的 stTDI 相比,观察到来自灰质信号的假阳性轨迹显著减少。这允许以高分辨率和对比度非侵入性地识别白质结构。我们的结果表明,超高场 DTI 和束追踪提供了从小斑马鱼大脑中可重复且定量的纤维组织图谱,这可用于未来对各种脑疾病斑马鱼模型中与疾病相关的微观结构变化的机制理解。