Summary: Scientists have produced a high-resolution, three-dimensional atlas of the developing mouse brain that captures anatomical changes from embryonic stages through early postnatal life. This interactive resource maps cellular and structural development across multiple timepoints, enabling researchers to track the emergence and distribution of important cell types—such as GABAergic neurons implicated in autism, schizophrenia and other neurodevelopmental disorders.
Combining magnetic resonance imaging (MRI) with whole-brain light sheet fluorescence microscopy, the atlas creates a multimodal reference framework researchers can use to compare and integrate diverse datasets. Hosted online and freely accessible, this tool aims to accelerate studies of brain development and disease.
Key Facts:
- A multimodal 3D atlas describes brain development across seven developmental stages in the mouse.
- The atlas tracks GABAergic neurons, a cell type linked to disorders such as autism and schizophrenia.
- A free, interactive web viewer makes the atlas accessible to researchers worldwide for exploration and data integration.
Source: Penn State
Researchers at Penn State College of Medicine and collaborators from five institutions have built a detailed 3D developmental atlas of the mouse brain using advanced imaging and microscopy methods.
This resource gives scientists a comprehensive, 360-degree view of the mammalian brain during key embryonic and early postnatal periods. By offering a consistent anatomical framework, the atlas helps researchers compare experiments, align diverse datasets, and study how normal brain architecture forms and how it changes in neurodevelopmental disorders.
The team published their findings in Nature Communications on Oct. 21.
“High-quality maps are essential infrastructure for building scientific knowledge, but until now we lacked a high-resolution 3D atlas for the developing brain,” said Yongsoo Kim, associate professor of neural and behavioral sciences at Penn State College of Medicine and the study’s senior author. “These maps let us study normal brain growth and identify when and where developmental disorders begin.”
Just as geographical atlases provide standardized maps to locate countries, terrain, and infrastructure, brain atlases provide a spatial reference for neuroanatomy. They show how regions relate to one another and enable integration of different experimental results into a common coordinate system. Historically, most developmental studies relied on two-dimensional histology slices, which makes it difficult to visualize three-dimensional anatomy and interpret spatial relationships accurately.
Recent advances in whole-brain imaging produce large, high-resolution 3D datasets, and adult mouse brain atlases have emerged to support those efforts. However, a comparable 3D reference for the developing mouse brain was missing—despite rapid and dramatic changes in shape and volume during embryonic and early postnatal stages. Without such a map, it’s challenging to integrate new 3D data or perform consistent cross-study comparisons.
To fill that gap, the researchers built a multimodal 3D common coordinate framework (DevCCF) spanning seven timepoints: embryonic days E11.5, E13.5, E15.5, E18.5 and postnatal days P4, P14, and P56. They used MRI to capture the brain’s overall morphology and light sheet fluorescence microscopy to produce cellular-resolution images of whole brains. High-resolution microscopy templates were co-registered to the MRI-derived shapes to create morphologically averaged, undistorted atlas templates. Samples included both male and female mice.
To demonstrate the atlas’s utility, the team examined GABAergic neurons, an inhibitory neuronal class essential for circuit function and implicated in multiple neuropsychiatric conditions. While prior research has focused on cortical GABAergic populations, their whole-brain mapping reveals how these neurons emerge and distribute across regions during development. Establishing normative spatiotemporal patterns of these cell clusters is an important step toward identifying developmental abnormalities.
The DevCCF is available through an interactive web visualizer and can be downloaded for offline analysis. By lowering technical barriers to access, the team hopes to foster global collaboration and make it straightforward for researchers to align their genomic, imaging, and microscopy datasets to a shared spatial framework.
“This atlas creates a roadmap for integrating many kinds of data—genomic, neuroimaging, microscopy—into the same infrastructure,” Kim said. “It will enable the next wave of brain research powered by machine learning and artificial intelligence.”
Penn State co-authors include Fae Kronman (MD/PhD student), Josephine Liwang (doctoral student), Rebecca Betty (research technologist), Daniel Vanselow (project manager), Steffy Manjila (postdoctoral scholar), Jennifer Minteer (research technologist), Donghui Shin (research technologist), Rohan Patil (student), and Keith Cheng (distinguished professor, pathology).
Additional collaborators were Nicholas Tustison (University of Virginia), Ashwin Bhandiwad and Lydia Ng (Allen Institute for Brain Science), Choong Heon Lee and Jiangyang Zhang (NYU Grossman School of Medicine), Jeffrey Duda and James Gee (University of Pennsylvania), Jian Xue and Yingxi Lin (UT Southwestern Medical Center), Luis Puelles (Universidad de Murcia), and Yuan-Ting Wu (formerly at Penn State, currently Cedars-Sinai Medical Center).
Funding: This work was supported by grants from the National Institutes of Health, including RF1MH124605 (BRAIN Initiative), R01NS108407, R01MH116176, and R01EB031722.
About this brain development research news
Author: Christine Yu
Source: Penn State
Contact: Christine Yu – Penn State
Image: Image credit: Neuroscience News
Original Research: Open access.
“Developmental mouse brain common coordinate framework” by Yongsoo Kim et al., Nature Communications.
Abstract
Developmental mouse brain common coordinate framework
Three-dimensional brain atlases are essential for understanding spatial organization and for enabling data interoperability across studies. Unlike the adult mouse brain, the absence of standardized 3D reference atlases for the developing brain has limited progress in mapping developmental anatomy.
Here, we describe a developmental common coordinate framework (DevCCF) that spans embryonic days E11.5, E13.5, E15.5, E18.5 and postnatal days P4, P14, and P56. The DevCCF includes morphologically averaged, undistorted templates derived from MRI and co-registered high-resolution light sheet fluorescence microscopy. The framework provides 3D anatomical segmentations and an interactive web visualizer, and it is available for download.
As an example application, we used the DevCCF to trace the emergence of GABAergic neurons in embryonic brains and to map the Allen CCFv3 and spatial transcriptomic cell-type data onto the stereotaxic P56 atlas. The DevCCF is an openly accessible resource designed to support multi-study data integration and to advance understanding of brain development.