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In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle

Sex hormones fluctuate during the menstrual cycle. Evidence from animal studies suggests similar subtle fluctuations in hippocampal structure, predominantly linked to estrogen. Hippocampal abnormalities have been observed in several neuropsychiatric pathologies with prominent sexual dimorphism. Yet,...

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Autores principales: Barth, Claudia, Steele, Christopher J, Mueller, Karsten, Rekkas, Vivien P., Arélin, Katrin, Pampel, Andre, Burmann, Inga, Kratzsch, Jürgen, Villringer, Arno, Sacher, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054394/
https://www.ncbi.nlm.nih.gov/pubmed/27713470
http://dx.doi.org/10.1038/srep32833
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author Barth, Claudia
Steele, Christopher J
Mueller, Karsten
Rekkas, Vivien P.
Arélin, Katrin
Pampel, Andre
Burmann, Inga
Kratzsch, Jürgen
Villringer, Arno
Sacher, Julia
author_facet Barth, Claudia
Steele, Christopher J
Mueller, Karsten
Rekkas, Vivien P.
Arélin, Katrin
Pampel, Andre
Burmann, Inga
Kratzsch, Jürgen
Villringer, Arno
Sacher, Julia
author_sort Barth, Claudia
collection PubMed
description Sex hormones fluctuate during the menstrual cycle. Evidence from animal studies suggests similar subtle fluctuations in hippocampal structure, predominantly linked to estrogen. Hippocampal abnormalities have been observed in several neuropsychiatric pathologies with prominent sexual dimorphism. Yet, the potential impact of subtle sex-hormonal fluctuations on human hippocampal structure in health is unclear. We tested the feasibility of longitudinal neuroimaging in conjunction with rigorous menstrual cycle monitoring to evaluate potential changes in hippocampal microstructure associated with physiological sex-hormonal changes. Thirty longitudinal diffusion weighted imaging scans of a single healthy female subject were acquired across two full menstrual cycles. We calculated hippocampal fractional anisotropy (FA), a measure sensitive to changes in microstructural integrity, and investigated potential correlations with estrogen. We observed a significant positive correlation between FA values and estrogen in the hippocampus bilaterally, revealing a peak in FA closely paralleling ovulation. This exploratory, single-subject study demonstrates the feasibility of a longitudinal DWI scanning protocol across the menstrual cycle and is the first to link subtle endogenous hormonal fluctuations to changes in FA in vivo. In light of recent attempts to neurally phenotype single humans, our findings highlight menstrual cycle monitoring in parallel with highly sampled individual neuroimaging data to address fundamental questions about the dynamics of plasticity in the adult brain.
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spelling pubmed-50543942016-10-19 In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle Barth, Claudia Steele, Christopher J Mueller, Karsten Rekkas, Vivien P. Arélin, Katrin Pampel, Andre Burmann, Inga Kratzsch, Jürgen Villringer, Arno Sacher, Julia Sci Rep Article Sex hormones fluctuate during the menstrual cycle. Evidence from animal studies suggests similar subtle fluctuations in hippocampal structure, predominantly linked to estrogen. Hippocampal abnormalities have been observed in several neuropsychiatric pathologies with prominent sexual dimorphism. Yet, the potential impact of subtle sex-hormonal fluctuations on human hippocampal structure in health is unclear. We tested the feasibility of longitudinal neuroimaging in conjunction with rigorous menstrual cycle monitoring to evaluate potential changes in hippocampal microstructure associated with physiological sex-hormonal changes. Thirty longitudinal diffusion weighted imaging scans of a single healthy female subject were acquired across two full menstrual cycles. We calculated hippocampal fractional anisotropy (FA), a measure sensitive to changes in microstructural integrity, and investigated potential correlations with estrogen. We observed a significant positive correlation between FA values and estrogen in the hippocampus bilaterally, revealing a peak in FA closely paralleling ovulation. This exploratory, single-subject study demonstrates the feasibility of a longitudinal DWI scanning protocol across the menstrual cycle and is the first to link subtle endogenous hormonal fluctuations to changes in FA in vivo. In light of recent attempts to neurally phenotype single humans, our findings highlight menstrual cycle monitoring in parallel with highly sampled individual neuroimaging data to address fundamental questions about the dynamics of plasticity in the adult brain. Nature Publishing Group 2016-10-07 /pmc/articles/PMC5054394/ /pubmed/27713470 http://dx.doi.org/10.1038/srep32833 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Barth, Claudia
Steele, Christopher J
Mueller, Karsten
Rekkas, Vivien P.
Arélin, Katrin
Pampel, Andre
Burmann, Inga
Kratzsch, Jürgen
Villringer, Arno
Sacher, Julia
In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle
title In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle
title_full In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle
title_fullStr In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle
title_full_unstemmed In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle
title_short In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle
title_sort in-vivo dynamics of the human hippocampus across the menstrual cycle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054394/
https://www.ncbi.nlm.nih.gov/pubmed/27713470
http://dx.doi.org/10.1038/srep32833
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