Evidence map›Paper›PMID 37546984›Full record

ArticleResearch square2023

Full-Spectrum Neuronal Diversity and Stereotypy 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 and 15 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 10 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 9 institutions in 3 countries.

Yufeng LiuSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.ORCID 0000-0003-0848-5113
Shengdian JiangSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.ORCID 0000-0002-2277-263X
Yingxin LiSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Sujun ZhaoSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Zhixi YunSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.ORCID 0000-0002-8226-7408
Zuo-Han ZhaoSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Lingli ZhangSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Gaoyu WangSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Xin ChenSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Linus Manubens-GilSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.ORCID 0000-0003-2036-2204
Yuning HangSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Marta Garcia-FornSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Wei WangAppel Alzheimer's Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA.
Silvia De RubeisSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-9383-6883
Zhuhao WuAppel Alzheimer's Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0002-2471-0555
Pavel OstenCold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Hui GongHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.
Michael HawrylyczAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-5741-8024
Partha MitraCold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.ORCID 0000-0001-8818-6804
Hongwei DongCenter for Integrative Connectomics, Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.ORCID 0000-0001-9972-3177
Qingming LuoState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, China.ORCID 0000-0002-6725-9311
Giorgio A AscoliVolgenau School of Engineering, George Mason University, Fairfax, VA, USA.ORCID 0000-0002-0964-676X
Hongkui ZengAllen Institute for Brain Science, Seattle, WA, USA.ORCID 0000-0002-0326-5878
Lijuan LiuSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Hanchuan PengSEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.ORCID 0000-0002-3478-3942
Southeast University · BDAllen Institute for Brain Science · USCold Spring Harbor Laboratory · USCornell University · USIcahn School of Medicine at Mount Sinai · USGeorge Mason University · USHainan University · CNSuzhou Research Institute · CNUniversity of California, Los Angeles · US

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI ANDERSON, DAVID J, PACHTER, LIOR S · 2017 to 2021
$64.7M
Tool and Technology Development CoreU19MH114821 · NIMH · COLD SPRING HARBOR LABORATORY · PI ZADOR, ANTHONY M · 2017 to 2021
$64.5M
Anatomical characterization of neuronal cell types of the mouse brainU01MH114829 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASCOLI, GIORGIO A, DONG, HONG-WEI · 2017 to 2021
$13.9M
Collaboratory for atlasing cell type anatomy in the female and male mouse brainU01MH114824 · NIMH · COLD SPRING HARBOR LABORATORY · PI MITRA, PARTHA PRATIM · 2017 to 2021
$11.7M
Generation and Description of Neuronal Morphology and ConnectivityR01NS039600 · NINDS · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 1999 to 2024
$6.9M
Global mapping of altered neural circuits in a mouse model of DDX3X mutationsR01MH131537 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DE RUBEIS, SILVIA, WU, ZHUHAO · 2023 to 2025
$2.5M
Long-range neuronal projections: circuit blueprint or stochastic targeting? Rigorous classification of brain-wide axonal reconstructionsRF1MH128693 · NIMH · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 2021 to 2021
$1.3M
NIMH NIH HHS R01 MH131537NIMH NIH HHS RF1 MH128693NIMH NIH HHS U01 MH114824NIMH NIH HHS U01 MH114829NIMH NIH HHS U19 MH114821NIMH NIH HHS U19 MH114830NINDS NIH HHS R01 NS039600
6 · The paper itself

Abstract

We conducted a large-scale study of whole-brain morphometry, 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 spatially registered 205 mouse brains and associated data from six Brain Initiative Cell Census Network (BICCN) data sources covering three major imaging modalities from five collaborative projects to the Allen Common Coordinate Framework (CCF) atlas, annotated 3D locations of cell bodies of 227,581 neurons, modeled 15,441 dendritic microenvironments, characterized the full morphology of 1,891 neurons along with their axonal motifs, and detected 2.58 million putative synaptic boutons. Our analysis covers six levels of information related to neuronal populations, dendritic microenvironments, single-cell full morphology, sub-neuronal dendritic and axonal arborization, axonal boutons, and structural motifs, along with a quantitative characterization of the diversity and stereotypy of patterns at each level. We identified 16 modules consisting of highly intercorrelated brain regions in 13 functional brain areas corresponding to 314 anatomical regions in CCF. Our analysis revealed the dendritic microenvironment as a powerful method for delineating brain regions of cell types and potential subtypes. We also found that full neuronal morphologies can be categorized into four distinct classes based on spatially tuned morphological features, with substantial cross-areal diversity in apical dendrites, basal dendrites, and axonal arbors, along with quantified stereotypy within cortical, thalamic and striatal regions. The lamination of somas was found to be more effective in differentiating neuron arbors within the cortex. Further analysis of diverging and converging projections of individual neurons in 25 regions throughout the brain reveals branching preferences in the brain-wide and local distributions of axonal boutons. Overall, our study provides a comprehensive description of key anatomical structures of neurons and their types, covering a wide range of scales and features, and contributes to our understanding of neuronal diversity and its function in the mammalian brain.

Identifiers

PMID37546984
PMCPMC10402258
OpenAlexW4385242313

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.