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Neuromorphological Atlas of Human Prenatal Brain Development: White Paper
Recent morphological data on human brain development are quite fragmentary. However, they are highly requested for a number of medical practices, educational programs, and fundamental research in the fields of embryology, cytology and histology, neurology, physiology, path anatomy, neonatology, and...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221423/ https://www.ncbi.nlm.nih.gov/pubmed/37240827 http://dx.doi.org/10.3390/life13051182 |
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author | Proshchina, Alexandra Kharlamova, Anastasia Krivova, Yuliya Godovalova, Olga Otlyga, Dmitriy Gulimova, Victoria Otlyga, Ekaterina Junemann, Olga Sonin, Gleb Saveliev, Sergey |
author_facet | Proshchina, Alexandra Kharlamova, Anastasia Krivova, Yuliya Godovalova, Olga Otlyga, Dmitriy Gulimova, Victoria Otlyga, Ekaterina Junemann, Olga Sonin, Gleb Saveliev, Sergey |
author_sort | Proshchina, Alexandra |
collection | PubMed |
description | Recent morphological data on human brain development are quite fragmentary. However, they are highly requested for a number of medical practices, educational programs, and fundamental research in the fields of embryology, cytology and histology, neurology, physiology, path anatomy, neonatology, and others. This paper provides the initial information on the new online Human Prenatal Brain Development Atlas (HBDA). The Atlas will start with forebrain annotated hemisphere maps, based on human fetal brain serial sections at the different stages of prenatal ontogenesis. Spatiotemporal changes in the regional-specific immunophenotype profiles will also be demonstrated on virtual serial sections. The HBDA can serve as a reference database for the neurological research, which provides opportunity to compare the data obtained by noninvasive techniques, such as neurosonography, X-ray computed tomography and magnetic resonance imaging, functional magnetic resonance imaging, 3D high-resolution phase-contrast computed tomography visualization techniques, as well as spatial transcriptomics data. It could also become a database for the qualitative and quantitative analysis of individual variability in the human brain. Systemized data on the mechanisms and pathways of prenatal human glio- and neurogenesis could also contribute to the search for new therapy methods for a large spectrum of neurological pathologies, including neurodegenerative and cancer diseases. The preliminary data are now accessible on the special HBDA website. |
format | Online Article Text |
id | pubmed-10221423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102214232023-05-28 Neuromorphological Atlas of Human Prenatal Brain Development: White Paper Proshchina, Alexandra Kharlamova, Anastasia Krivova, Yuliya Godovalova, Olga Otlyga, Dmitriy Gulimova, Victoria Otlyga, Ekaterina Junemann, Olga Sonin, Gleb Saveliev, Sergey Life (Basel) Project Report Recent morphological data on human brain development are quite fragmentary. However, they are highly requested for a number of medical practices, educational programs, and fundamental research in the fields of embryology, cytology and histology, neurology, physiology, path anatomy, neonatology, and others. This paper provides the initial information on the new online Human Prenatal Brain Development Atlas (HBDA). The Atlas will start with forebrain annotated hemisphere maps, based on human fetal brain serial sections at the different stages of prenatal ontogenesis. Spatiotemporal changes in the regional-specific immunophenotype profiles will also be demonstrated on virtual serial sections. The HBDA can serve as a reference database for the neurological research, which provides opportunity to compare the data obtained by noninvasive techniques, such as neurosonography, X-ray computed tomography and magnetic resonance imaging, functional magnetic resonance imaging, 3D high-resolution phase-contrast computed tomography visualization techniques, as well as spatial transcriptomics data. It could also become a database for the qualitative and quantitative analysis of individual variability in the human brain. Systemized data on the mechanisms and pathways of prenatal human glio- and neurogenesis could also contribute to the search for new therapy methods for a large spectrum of neurological pathologies, including neurodegenerative and cancer diseases. The preliminary data are now accessible on the special HBDA website. MDPI 2023-05-13 /pmc/articles/PMC10221423/ /pubmed/37240827 http://dx.doi.org/10.3390/life13051182 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Project Report Proshchina, Alexandra Kharlamova, Anastasia Krivova, Yuliya Godovalova, Olga Otlyga, Dmitriy Gulimova, Victoria Otlyga, Ekaterina Junemann, Olga Sonin, Gleb Saveliev, Sergey Neuromorphological Atlas of Human Prenatal Brain Development: White Paper |
title | Neuromorphological Atlas of Human Prenatal Brain Development: White Paper |
title_full | Neuromorphological Atlas of Human Prenatal Brain Development: White Paper |
title_fullStr | Neuromorphological Atlas of Human Prenatal Brain Development: White Paper |
title_full_unstemmed | Neuromorphological Atlas of Human Prenatal Brain Development: White Paper |
title_short | Neuromorphological Atlas of Human Prenatal Brain Development: White Paper |
title_sort | neuromorphological atlas of human prenatal brain development: white paper |
topic | Project Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221423/ https://www.ncbi.nlm.nih.gov/pubmed/37240827 http://dx.doi.org/10.3390/life13051182 |
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