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中国科学通报:英文版NeurosciencePeer-reviewed journal article

Macaque Brainnetome Atlas: A Multifaceted Brain Map with Parcellation, Connection, and Histology

Yuheng LuiD, Yue Julia CuiiD, Long CaoiD, Zhenwei DongiD, Luqi ChengiD, Wen WuiD, Changshuo WangiD, Xinyi LiuiD, Youtong Liu, Baogui ZhangiD, Deying LiiD, Bokai ZhaoiD, Haiyan Wang, Kaixin LiiD, Liang MaiD, Weiyang ShiiD, Wen LiiD, Yawei Ma, Zongchang DuiD, Jiaqi ZhangiD, Hui Fang XiongiD, Na LuoiD, Yanyan LiuiD, Xiaoxiao Hou, Jinglu HaniD, , Tianzi JiangiD

PDFDOIPreprint

Abstract

The rhesus macaque (Macaca mulatta) is a crucial experimental animal that shares many genetic, brain organizational, and behavioral characteristics with humans. A macaque brain atlas that identifies anatomically and functionally distinct regions is fundamental to biomedical and evolutionary research. However, even though connectivity information is vital for understanding brain functions, a connectivity-based whole-brain atlas of the macaque has not previously been made. In this study, we created a new whole-brain map, the Macaque Brainnetome Atlas (MacBNA), based on the anatomical connectivity profiles provided by high angular and spatial resolution ex vivo diffusion MRI data. The new atlas consists of 248 cortical and 56 subcortical regions as well as their structural and functional connections. The parcellation and the diffusion-based tractography were comprehensively evaluated with multi-contrast MRI, invasive neuronal-tracing, and Nissl-stained images collected from a single subject and with open-access datasets from other cohorts. As a demonstrative application, the structural connectivity divergence between macaque and human brains was mapped using the Brainnetome atlases of those two species to uncover the genetic underpinnings of the evolutionary changes in brain structure. The resulting resource includes (1) the thoroughly delineated Macaque Brainnetome Atlas (MacBNA), (2) regional connectivity profiles, (3) the postmortem high resolution macaque diffusion and T2-weighted MRI dataset (Brainnetome-8), and (4) multi-contrast MRI, block-face, and section images collected from a single macaque. MacBNA can serve as a common reference frame for mapping multifaceted features across modalities and spatial scales and for integrative investigation and characterization of brain organization and function. Therefore, it will enrich the collaborative resource platform for nonhuman primates and facilitate translational and comparative neuroscience research.

Citations
21
FWCI
5.33
Field percentile
top 3%

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