Nov 3th, 2025:
Our first work on mesocale connectome mapping of marmoset brains was published on
Nature Methods, forcusing on white matter fiber pathways again.
(Click to access online PDF version of the paper)
Extending our previous work on mapping the white matter
(version-2;Liu et at, Nature Neuroscience, 2020), we introduces CABLE, a novel 3-D mesoscale imaging method that uses cytoarchitectonic organization to reconstruct whole-brain fiber tracts at cellular resolution, enabling the disentanglement of complex intersecting fibers and validated against brain-wide viral axon tracing in primates.
Congratulations to the hard works of our students,
Yue Zhang (SIAT) and
Tao Song (ION), and the great teamwork with the lab of Dr. Fang Xu (SIAT)!
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Sep 27th, 2024:
Congratulations to the great teamwork of two institutes (Institute of Neuroscience, Chinese academy of Science and BGI-Research). Our spatial transcriptome atlas of the cerebellar cortex was published on
Science, as the Part-2 of the Version 5.
The story about the cerebellum is to be continued!
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April 23th, 2024:
Congratulations to
Yao Fei and
Qihang Wu for our first work about single-neuron mesoscale connectome, published on
Nature Communcations . This study combined single-neuron projectome, computational modeling and wide-field calcium imaging of mice to reveal the anatomical and functional principle of interhemispheric connectivity. All data are public available (see paper for detail).
Mesoscale connectome mapping of marmoset brains is also on the way.
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May 10th, 2023:
The 5th version of Marmoset Brain Mapping is focusing on the cerebellum. The first part of the 5th version (
An anatomical and connectivity atlas of the marmoset cerebellum) is now released and published on
Cell Reports as the
Cover Paper. Congratulations to
Xiaojia Zhu!
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Dec 1st, 2022:
The 4th version of Marmoset Brain Mapping (
"An integrated resource for functional and structural connectivity of the marmoset brain") is officially released and published on
Nature Communications. The MBMv4 provided a large awake resting-state fMRI data, intergrated neuronal tracing data, functional brain networks, and connectivity-based cortical parcellations. Thanks to the great international collaboration and congratulations to Dr.
Xiaoguang Tian!