Evidence map›Paper›PMID 37745386›Full record

ArticlebioRxiv : the preprint server for biology2023

Developmental Mouse Brain Common Coordinate Framework.

Fae A Kronman, Josephine K Liwang, Rebecca Betty, Daniel J Vanselow, Yuan-Ting Wu, Nicholas J Tustison, Ashwin Bhandiwad, Steffy B Manjila, Jennifer A Minteer, Donghui Shin and 8 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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, 16 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 2 countries.

Fae A KronmanDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Josephine K LiwangDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Rebecca BettyDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Daniel J VanselowDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Yuan-Ting WuDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Nicholas J TustisonDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA.
Ashwin BhandiwadAllen Institute for Brain Science, Seattle, WA, USA.
Steffy B ManjilaDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Jennifer A MinteerDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Donghui ShinDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Choong Heon LeeBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, NY, USA.
Rohan PatilDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Jeffrey T DudaDepartment of Radiology, Penn Image Computing and Science Lab, University of Pennsylvania, Philadelphia, Pennsylvania.
Luis PuellesDepartment of Human Anatomy and Psychobiology, Faculty of Medicine, Universidad de Murcia, and Murcia Arrixaca Institute for Biomedical Research (IMIB) Murcia, Spain.
James C GeeDepartment of Radiology, Penn Image Computing and Science Lab, University of Pennsylvania, Philadelphia, Pennsylvania.
Jiangyang ZhangBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, NY, USA.
Lydia NgAllen Institute for Brain Science, Seattle, WA, USA.
Yongsoo KimDepartment of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA.
Pennsylvania State University · USAllen Institute for Brain Science · USNew York University · USUniversity of Pennsylvania · USUniversidad de Murcia · ESUniversity of Virginia · US

Funding

Understanding cellular architecture of the neurovascular unit and its function in the whole mouse brainR01NS108407 · NINDS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KIM, YONGSOO · 2018 to 2022
$3.1M
Advanced Normalization ToolsR01EB031722 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI GEE, JAMES C · 2022 to 2025
$2.7M
Brain-wide input and output wiring diagram of oxytocin neurons and its function in claustrum-endopiriform complexR01MH116176 · NIMH · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KIM, YONGSOO · 2018 to 2022
$2.4M
NIBIB NIH HHS R01 EB031722NIMH NIH HHS R01 MH116176NINDS NIH HHS R01 NS108407
6 · The paper itself

Abstract

3D standard reference brains serve as key resources to understand the spatial organization of the brain and promote interoperability across different studies. However, unlike the adult mouse brain, the lack of standard 3D reference atlases for developing mouse brains has hindered advancement of our understanding of brain development. Here, we present a multimodal 3D developmental common coordinate framework (DevCCF) spanning mouse embryonic day (E) 11.5, E13.5, E15.5, E18.5, and postnatal day (P) 4, P14, and P56 with anatomical segmentations defined by a developmental ontology. At each age, the DevCCF features undistorted morphologically averaged atlas templates created from Magnetic Resonance Imaging and co-registered high-resolution templates from light sheet fluorescence microscopy. Expert-curated 3D anatomical segmentations at each age adhere to an updated prosomeric model and can be explored via an interactive 3D web-visualizer. As a use case, we employed the DevCCF to unveil the emergence of GABAergic neurons in embryonic brains. Moreover, we integrated the Allen CCFv3 into the P56 template with stereotaxic coordinates and mapped spatial transcriptome cell-type data with the developmental ontology. In summary, the DevCCF is an openly accessible resource that can be used for large-scale data integration to gain a comprehensive understanding of brain development.

Indexed as

anatomical segmentationbrain developmentcommon coordinate framework (CCF)GABA neuronsmultimodal registrationreference atlas

Identifiers

PMID37745386
PMCPMC10515964
OpenAlexW4386760258

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.