Evidence map›Paper›PMID 39592611›Full record

ArticleNature communications2024

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 and 19 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors.

Yufeng LiuNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.ORCID 0000-0003-0848-5113
Shengdian Jiang *New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.ORCID 0000-0002-2277-263X
Yingxin Li *New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.ORCID 0009-0004-9399-0708
Sujun ZhaoNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.
Zhixi YunNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.ORCID 0000-0002-8226-7408
Zuo-Han ZhaoNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.ORCID 0000-0003-1812-6237
Lingli ZhangNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.
Gaoyu WangNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.
Xin ChenNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.
Linus Manubens-GilNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.ORCID 0000-0003-2036-2204
Yuning HangNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.
Qiaobo GongNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.
Yuanyuan LiMinistry of Education Key Laboratory of Intelligent Computation and Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, Anhui, China.
Penghao QianNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.
Lei QuNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China.ORCID 0000-0002-2129-5253
Marta Garcia-FornSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Wei WangDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 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, 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.ORCID 0000-0001-5519-6248
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 LiuNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China. lijuan-liu@seu.edu.cn.ORCID 0000-0002-9548-6183
Hanchuan PengNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China. h@braintell.org.ORCID 0000-0002-3478-3942

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
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
Establishing a Comprehensive and Standardized Cell Type Characterization PlatformU01MH105982 · NIMH · ALLEN INSTITUTE · PI ANDERSON, DAVID J, ZENG, HONGKUI · 2014 to 2016
$5.1M
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 MH105982NIMH NIH HHS U01 MH114824NIMH NIH HHS U19 MH114821NIMH NIH HHS U19 MH114830NINDS NIH HHS R01 NS039600
6 · The paper itself

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.

Indexed as

BrainNeuronsAnimalsAxonsDendritesMaleMiceMice, Inbred C57BLSingle-Cell Analysis

Identifiers

PMID39592611
PMCPMC11599929

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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.