Zhanbo Zhang, Tianhao Zhou, Yong Yang, Chenfei Cao, Yu Zhang, Quetao Yu, Jixiang Zeng, Xuan Zhou, Xiaoming Wang, Ruiqi Tian, Xiaodong Zhang, Yao He, Feng Yue, Pengcheng Li, Junjie Zhuo. 2026. RBT 1.0: A 3D Multimodal MRI Stereotaxic Atlas of the Rabbit Brain. Zoological Research. DOI: 10.24272/j.issn.2095-8137.2026.045
Citation: Zhanbo Zhang, Tianhao Zhou, Yong Yang, Chenfei Cao, Yu Zhang, Quetao Yu, Jixiang Zeng, Xuan Zhou, Xiaoming Wang, Ruiqi Tian, Xiaodong Zhang, Yao He, Feng Yue, Pengcheng Li, Junjie Zhuo. 2026. RBT 1.0: A 3D Multimodal MRI Stereotaxic Atlas of the Rabbit Brain. Zoological Research. DOI: 10.24272/j.issn.2095-8137.2026.045

RBT 1.0: A 3D Multimodal MRI Stereotaxic Atlas of the Rabbit Brain

  • The rabbit serves as a critical bridge species in translational neuroscience due to its human-like neurodevelopmental trajectories, white matter architecture, and biophysical neuronal properties. However, the lack of a standardized, high-resolution in vivo brain atlas has significantly impeded its broader adoption in systems neuroscience and disease modeling. In this study, we established a multimodal, population-averaged in vivo template and stereotaxic framework for the adult New Zealand White rabbit by integrating 5.0 T in vivo MRI, 9.4 T ex vivo MRI, and micro-CT imaging. Using multi-contrast priors, we systematically identified 107 fine-grained regions across the cortex, white matter, and subcortical structures. To facilitate broad accessibility, we developed a deep learning-based pipeline that enables fully automated whole-brain segmentation, eliminating the need for manual preprocessing. Our results demonstrate that this atlas effectively captures native anatomical states, overcoming the tissue deformation inherent in legacy ex vivo templates. With a fully differentiated striatum and a brain volume sixfold larger than that of rodents, this framework provides a superior platform for translational brain disease research and longitudinal functional imaging. By providing a publicly available, anatomically accurate reference, this work establishes a standardized foundation for neuroscientific research across the evolutionary continuum.
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