Neuronal diversity and stereotypy at multiple scales through whole brain morphometry

Yufeng Liu, Shengdian Jiang, Yingxin Li, Sujun Zhao, Zhixi Yun, Zuo-Han Zhao, Lingli Zhang, Gaoyu Wang, Xin Chen, Linus Manubens-Gil, Yuning Hang, Qiaobo Gong, Yuanyuan Li, Penghao Qian, Lei Qu, Marta Garcia-Forn, Wei Wang, Silvia Rubeis, Zhuhao Wu, Pavel Osten, Hui Gong, Michael Hawrylycz, Partha Mitra, Hongwei Dong, Qingming Luo, Giorgio A. Ascoli, Hongkui Zeng, Lijuan Liu () and Hanchuan Peng ()
Additional contact information
Yufeng Liu: Southeast University
Shengdian Jiang: Southeast University
Yingxin Li: Southeast University
Sujun Zhao: Southeast University
Zhixi Yun: Southeast University
Zuo-Han Zhao: Southeast University
Lingli Zhang: Southeast University
Gaoyu Wang: Southeast University
Xin Chen: Southeast University
Linus Manubens-Gil: Southeast University
Yuning Hang: Southeast University
Qiaobo Gong: Southeast University
Yuanyuan Li: Anhui University
Penghao Qian: Southeast University
Lei Qu: Southeast University
Marta Garcia-Forn: Icahn School of Medicine at Mount Sinai
Wei Wang: Icahn School of Medicine at Mount Sinai
Silvia Rubeis: Icahn School of Medicine at Mount Sinai
Zhuhao Wu: Weill Cornell Medicine
Pavel Osten: Cold Spring Harbor Laboratory
Hui Gong: JITRI
Michael Hawrylycz: Allen Institute for Brain Science
Partha Mitra: Cold Spring Harbor Laboratory
Hongwei Dong: David Geffen School of Medicine at UCLA
Qingming Luo: Hainan University
Giorgio A. Ascoli: George Mason University
Hongkui Zeng: Allen Institute for Brain Science
Lijuan Liu: Southeast University
Hanchuan Peng: Southeast University

Nature Communications, 2024, vol. 15, issue 1, 1-23

Abstract: Abstract We conducted a large-scale whole-brain morphometry study by analyzing 3.7 peta-voxels of mouse brain images at the single-cell resolution, producing one of the largest multi-morphometry databases of mammalian brains to date. We registered 204 mouse brains of three major imaging modalities to the Allen Common Coordinate Framework (CCF) atlas, annotated 182,497 neuronal cell bodies, modeled 15,441 dendritic microenvironments, characterized the full morphology of 1876 neurons along with their axonal motifs, and detected 2.63 million axonal varicosities that indicate potential synaptic sites. Our analyzed six levels of information related to neuronal populations, dendritic microenvironments, single-cell full morphology, dendritic and axonal arborization, axonal varicosities, and sub-neuronal structural motifs, along with a quantification of the diversity and stereotypy of patterns at each level. This integrative study provides key anatomical descriptions of neurons and their types across a multiple scales and features, contributing a substantial resource for understanding neuronal diversity in mammalian brains.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-54745-6 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54745-6

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-54745-6

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().