MRI-based spatio-temporal atlas of ganglionic eminence.
Overview
- NeuroImaging Lab, Scientific Institute IRCCS Eugenio Medea,Bosisio Parini, Italy
- Department of Information Engineering, University of Padua,Padua, Italy
- Department of Radiology and Neuroradiology, Children’s Hospital V. Buzzi,Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan,Milan, Italy
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico,Milan, Italy
- Department of Woman, Child and Newborn, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico,Milan, Italy
- Department of Clinical and Community Sciences, University of Milan,Milan, Italy
- Neuroscience Center, University of Padua,Padua, Italy
- Department of Services and Preventive Medicine, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico,Milan, Italy
Abstract
Objective: Fetal brain magnetic resonance imaging (MRI) provides insights into the architecture of the human brain. Recently, an increasing interest has been posed on transient brain structures, such as the ganglionic eminence (GE), to better understand potential derailments or anomalies in neurodevelopment. In this work, we define a spatio-temporal atlas of the GE from 19 to 36 gestational weeks (GW) in a 0.5-mm isotropic resolution.
Materials and methods: We extended the T2-weighted developing Human Connectome Project atlas with 19 and 20 GW and generated GE label maps spanning 19–36 GW. The GE label maps were generated via an averaging ensemble strategy of the segmentations performed by three expert neuroradiologists.
Results: The segmentations conducted by the experts achieved 0.91 ± 0.06 Dice similarity coefficient throughout the whole range of GW, indicating a strong agreement in this task. The GE reached its maximum volume expansion at around 21 GW, followed by a pronounced reduction throughout pregnancy (R2 = 0.98, ranged 40‒500 mm3), highlighting an inverse relationship to the whole brain volume and cortical gray matter. This is accompanied by an increased number of small and fragmented components, correlating with known dynamics of GE migration toward target structures.
Conclusion: The proposed spatio-temporal GE MRI atlas supports the monitoring during pregnancy of this fascinating brain structure. It may aid in better understanding prodromic signs of potential future clinical conditions attributable to GE alterations. Moreover, it could be used as a repository of knowledge to develop innovative atlas-based deep learning models for biometric, volumetric, and shape analysis.
Relevance statement: The spatio-temporal fetal MRI atlas of the GE allows researchers to study its evolution and potential future clinical conditions attributable to GE alterations in pregnancy. The GE reached its maximum volume expansion around 21 GW, followed by a pronounced reduction throughout the pregnancy.
Key Points: The development of GE is a resource for monitoring pregnancy. We propose a spatio-temporal GE MRI atlas from 19 to 36 weeks of gestation. The GE reached its maximum expansion at around 21 weeks of gestation, followed by a progressive decline throughout pregnancy.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
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Data
Datasets cited
- github.com/
tommaso-ciceri/ , at github.com; found in the text, “Background”mri-based-spatio-tempora l-atlas-of-ganglionic-em inence
Data availability
The spatio-temporal GE MRI atlas is provided via GitHub (https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 29 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 18 authors, 5 keywords, 7 MeSH terms, 3 funders, 36 references.
Cite
This paper
Ciceri, T., Righini, A., Squarcina, L., Ferro, A., Pini, C., Marano, A., Tombola, V., Scacchetti, C., Persico, N., Boito, S., Cetin, I., Arrigoni, F., Parazzini, C., Bertoldo, A., Conte, G., Triulzi, F. M., Brambilla, P., & Peruzzo, D. (2026). MRI-based spatio-temporal atlas of ganglionic eminence. European radiology experimental, 10(1), 47. https://
BibTeX
@article{ciceri2026mri,
author = {Ciceri, Tommaso and Righini, Andrea and Squarcina, Letizia and Ferro, Adele and Pini, Cecilia and Marano, Alessandra and Tombola, Valentina and Scacchetti, Chiara and Persico, Nicola and Boito, Simona and Cetin, Irene and Arrigoni, Filippo and Parazzini, Cecilia and Bertoldo, Alessandra and Conte, Giorgio and Triulzi, Fabio Maria and Brambilla, Paolo and Peruzzo, Denis},
title = {{MRI-based spatio-temporal atlas of ganglionic eminence}},
journal = {European radiology experimental},
year = {2026},
month = apr,
volume = {10},
number = {1},
pages = {47},
publisher = {Springer},
issn = {2509-9280},
doi = {10.1186/
url = {https://
pmid = {41979773},
pmcid = {PMC13079254}
}
RIS
TY - JOUR
AU - Ciceri, Tommaso
AU - Righini, Andrea
AU - Squarcina, Letizia
AU - Ferro, Adele
AU - Pini, Cecilia
AU - Marano, Alessandra
AU - Tombola, Valentina
AU - Scacchetti, Chiara
AU - Persico, Nicola
AU - Boito, Simona
AU - Cetin, Irene
AU - Arrigoni, Filippo
AU - Parazzini, Cecilia
AU - Bertoldo, Alessandra
AU - Conte, Giorgio
AU - Triulzi, Fabio Maria
AU - Brambilla, Paolo
AU - Peruzzo, Denis
TI - MRI-based spatio-temporal atlas of ganglionic eminence
T2 - European radiology experimental
J2 - Eur Radiol Exp
PY - 2026
DA - 2026/
VL - 10
IS - 1
SP - 47
SN - 2509-9280
PB - Springer
DO - 10.1186/
UR - https://
LA - en
ER -
CSL-JSON
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