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

Jacob W. Vogel (), Renaud La Joie, Michel J. Grothe, Alexandr Diaz-Papkovich, Andrew Doyle, Etienne Vachon-Presseau, Claude Lepage, Reinder Vos de Wael, Rhalena A. Thomas, Yasser Iturria-Medina, Boris Bernhardt, Gil D. Rabinovici and Alan C. Evans ()
Additional contact information
Jacob W. Vogel: McGill University
Renaud La Joie: University of California
Michel J. Grothe: German Center for Neurodegenerative Diseases (DZNE)
Alexandr Diaz-Papkovich: McGill University and Genome Quebec Innovation Centre
Andrew Doyle: McGill University
Etienne Vachon-Presseau: McGill University
Claude Lepage: McGill University
Reinder Vos de Wael: McGill University
Rhalena A. Thomas: McGill University
Yasser Iturria-Medina: McGill University
Boris Bernhardt: McGill University
Gil D. Rabinovici: University of California
Alan C. Evans: McGill University

Nature Communications, 2020, vol. 11, issue 1, 1-17

Abstract: Abstract 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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14518-3

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DOI: 10.1038/s41467-020-14518-3

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