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A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems

The functional organization of the hippocampus is distributed as a gradient along its longitudinal axis that explains its differential interaction with diverse brain systems. We show that the location of human tissue samples extracted along the longitudinal axis of the adult human hippocampus can be...

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Autores principales: Vogel, Jacob W., La Joie, Renaud, Grothe, Michel J., Diaz-Papkovich, Alexandr, Doyle, Andrew, Vachon-Presseau, Etienne, Lepage, Claude, Vos de Wael, Reinder, Thomas, Rhalena A., Iturria-Medina, Yasser, Bernhardt, Boris, Rabinovici, Gil D., Evans, Alan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031290/
https://www.ncbi.nlm.nih.gov/pubmed/32075960
http://dx.doi.org/10.1038/s41467-020-14518-3
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author Vogel, Jacob W.
La Joie, Renaud
Grothe, Michel J.
Diaz-Papkovich, Alexandr
Doyle, Andrew
Vachon-Presseau, Etienne
Lepage, Claude
Vos de Wael, Reinder
Thomas, Rhalena A.
Iturria-Medina, Yasser
Bernhardt, Boris
Rabinovici, Gil D.
Evans, Alan C.
author_facet Vogel, Jacob W.
La Joie, Renaud
Grothe, Michel J.
Diaz-Papkovich, Alexandr
Doyle, Andrew
Vachon-Presseau, Etienne
Lepage, Claude
Vos de Wael, Reinder
Thomas, Rhalena A.
Iturria-Medina, Yasser
Bernhardt, Boris
Rabinovici, Gil D.
Evans, Alan C.
author_sort Vogel, Jacob W.
collection PubMed
description The functional organization of the hippocampus is distributed as a gradient along its longitudinal axis that explains its differential interaction with diverse brain systems. We show that the location of human tissue samples extracted along the longitudinal axis of the adult human hippocampus can be predicted within 2mm using the expression pattern of less than 100 genes. Futhermore, this model generalizes to an external set of tissue samples from prenatal human hippocampi. We examine variation in this specific gene expression pattern across the whole brain, finding a distinct anterioventral-posteriodorsal gradient. We find frontal and anterior temporal regions involved in social and motivational behaviors, and more functionally connected to the anterior hippocampus, to be clearly differentiated from posterior parieto-occipital regions involved in visuospatial cognition and more functionally connected to the posterior hippocampus. These findings place the human hippocampus at the interface of two major brain systems defined by a single molecular gradient.
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spelling pubmed-70312902020-03-04 A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems Vogel, Jacob W. La Joie, Renaud Grothe, Michel J. Diaz-Papkovich, Alexandr Doyle, Andrew Vachon-Presseau, Etienne Lepage, Claude Vos de Wael, Reinder Thomas, Rhalena A. Iturria-Medina, Yasser Bernhardt, Boris Rabinovici, Gil D. Evans, Alan C. Nat Commun Article The functional organization of the hippocampus is distributed as a gradient along its longitudinal axis that explains its differential interaction with diverse brain systems. We show that the location of human tissue samples extracted along the longitudinal axis of the adult human hippocampus can be predicted within 2mm using the expression pattern of less than 100 genes. Futhermore, this model generalizes to an external set of tissue samples from prenatal human hippocampi. We examine variation in this specific gene expression pattern across the whole brain, finding a distinct anterioventral-posteriodorsal gradient. We find frontal and anterior temporal regions involved in social and motivational behaviors, and more functionally connected to the anterior hippocampus, to be clearly differentiated from posterior parieto-occipital regions involved in visuospatial cognition and more functionally connected to the posterior hippocampus. These findings place the human hippocampus at the interface of two major brain systems defined by a single molecular gradient. Nature Publishing Group UK 2020-02-19 /pmc/articles/PMC7031290/ /pubmed/32075960 http://dx.doi.org/10.1038/s41467-020-14518-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Vogel, Jacob W.
La Joie, Renaud
Grothe, Michel J.
Diaz-Papkovich, Alexandr
Doyle, Andrew
Vachon-Presseau, Etienne
Lepage, Claude
Vos de Wael, Reinder
Thomas, Rhalena A.
Iturria-Medina, Yasser
Bernhardt, Boris
Rabinovici, Gil D.
Evans, Alan C.
A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems
title A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems
title_full A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems
title_fullStr A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems
title_full_unstemmed A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems
title_short A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems
title_sort molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031290/
https://www.ncbi.nlm.nih.gov/pubmed/32075960
http://dx.doi.org/10.1038/s41467-020-14518-3
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