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Neuronal diversity and stereotypy at multiple scales through whole brain morphometry

Author

Listed:
  • Yufeng Liu

    (Southeast University)

  • Shengdian Jiang

    (Southeast University
    Southeast University)

  • Yingxin Li

    (Southeast University
    Southeast University)

  • Sujun Zhao

    (Southeast University
    Southeast University)

  • Zhixi Yun

    (Southeast University
    Southeast University)

  • Zuo-Han Zhao

    (Southeast University)

  • Lingli Zhang

    (Southeast University
    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
    Anhui University)

  • Marta Garcia-Forn

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Wei Wang

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Silvia Rubeis

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Zhuhao Wu

    (Weill Cornell Medicine
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • 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
    Hainan University)

  • Giorgio A. Ascoli

    (George Mason University)

  • Hongkui Zeng

    (Allen Institute for Brain Science)

  • Lijuan Liu

    (Southeast University
    Southeast University)

  • Hanchuan Peng

    (Southeast University)

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.

Suggested Citation

  • 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 &, 2024. "Neuronal diversity and stereotypy at multiple scales through whole brain morphometry," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54745-6
    DOI: 10.1038/s41467-024-54745-6
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