Zhu Silei, Huszar Istvan N, Cottaar Michiel, Daubney Greg, Eichert Nicole, Hanayik Taylor, Khrapitchev Alexandre A, Mars Rogier B, Mollink Jeroen, Sallet Jerome, Scott Connor, Smart Adele, Jbabdi Saad, Miller Karla L, Howard Amy F D
Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Med Image Anal. 2025 May;102:103498. doi: 10.1016/j.media.2025.103498. Epub 2025 Feb 6.
Mapping how neurons are structurally wired into whole-brain networks can be challenging, particularly in larger brains where 3D microscopy is not available. Multi-modal datasets combining MRI and microscopy provide a solution, where high resolution but 2D microscopy can be complemented by whole-brain but lowresolution MRI. However, there lacks unified approaches to integrate and jointly analyse these multi-modal data in an insightful way. To address this gap, we introduce a data-fusion method for hybrid MRI-microscopy fibre orientation and connectome reconstruction. Specifically, we complement precise "in-plane" orientations from microscopy with "through-plane" information from MRI to construct 3D hybrid fibre orientations at resolutions far exceeding that of MRI whilst preserving microscopy's myelin specificity, resulting in superior fibre tracking. Our method is openly available, can be deployed on standard 2D microscopy, including different microscopy contrasts, and is species agnostic, facilitating neuroanatomical investigation in both animal models and human brains.
绘制神经元如何在结构上连接成全脑网络可能具有挑战性，特别是在无法进行三维显微镜检查的较大大脑中。结合磁共振成像（MRI）和显微镜检查的多模态数据集提供了一种解决方案，其中高分辨率但二维的显微镜检查可以通过全脑但低分辨率的MRI进行补充。然而，缺乏以有洞察力的方式整合和联合分析这些多模态数据的统一方法。为了填补这一空白，我们引入了一种用于混合MRI-显微镜纤维取向和连接组重建的数据融合方法。具体而言，我们用MRI的“平面内”信息补充显微镜检查精确的“平面内”取向，以构建分辨率远超MRI的三维混合纤维取向，同时保留显微镜检查的髓磷脂特异性，从而实现卓越的纤维追踪。我们的方法是公开可用的，可以部署在标准二维显微镜检查上，包括不同的显微镜对比度，并且不依赖物种，便于在动物模型和人类大脑中进行神经解剖学研究。
