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Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle

Longitudinal menstrual cycle studies allow to investigate the effects of ovarian hormones on brain organization. Here, we use spectral dynamic causal modelling (spDCM) in a triple network model to assess effective connectivity changes along the menstrual cycle within and between the default mode, sa...

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Autores principales: Hidalgo-Lopez, Esmeralda, Zeidman, Peter, Harris, TiAnni, Razi, Adeel, Pletzer, Belinda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355156/
https://www.ncbi.nlm.nih.gov/pubmed/34376799
http://dx.doi.org/10.1038/s42003-021-02447-w
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author Hidalgo-Lopez, Esmeralda
Zeidman, Peter
Harris, TiAnni
Razi, Adeel
Pletzer, Belinda
author_facet Hidalgo-Lopez, Esmeralda
Zeidman, Peter
Harris, TiAnni
Razi, Adeel
Pletzer, Belinda
author_sort Hidalgo-Lopez, Esmeralda
collection PubMed
description Longitudinal menstrual cycle studies allow to investigate the effects of ovarian hormones on brain organization. Here, we use spectral dynamic causal modelling (spDCM) in a triple network model to assess effective connectivity changes along the menstrual cycle within and between the default mode, salience and executive control networks (DMN, SN, and ECN). Sixty healthy young women were scanned three times along their menstrual cycle, during early follicular, pre-ovulatory and mid-luteal phase. Related to estradiol, right before ovulation the left insula recruits the ECN, while the right middle frontal gyrus decreases its connectivity to the precuneus and the DMN decouples into anterior/posterior parts. Related to progesterone during the mid-luteal phase, the insulae (SN) engage to each other, while decreasing their connectivity to parietal ECN, which in turn engages the posterior DMN. When including the most confident connections in a leave-one out cross-validation, we find an above-chance prediction of the left-out subjects’ cycle phase. These findings corroborate the plasticity of the female brain in response to acute hormone fluctuations and may help to further understand the neuroendocrine interactions underlying cognitive changes along the menstrual cycle.
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spelling pubmed-83551562021-08-30 Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle Hidalgo-Lopez, Esmeralda Zeidman, Peter Harris, TiAnni Razi, Adeel Pletzer, Belinda Commun Biol Article Longitudinal menstrual cycle studies allow to investigate the effects of ovarian hormones on brain organization. Here, we use spectral dynamic causal modelling (spDCM) in a triple network model to assess effective connectivity changes along the menstrual cycle within and between the default mode, salience and executive control networks (DMN, SN, and ECN). Sixty healthy young women were scanned three times along their menstrual cycle, during early follicular, pre-ovulatory and mid-luteal phase. Related to estradiol, right before ovulation the left insula recruits the ECN, while the right middle frontal gyrus decreases its connectivity to the precuneus and the DMN decouples into anterior/posterior parts. Related to progesterone during the mid-luteal phase, the insulae (SN) engage to each other, while decreasing their connectivity to parietal ECN, which in turn engages the posterior DMN. When including the most confident connections in a leave-one out cross-validation, we find an above-chance prediction of the left-out subjects’ cycle phase. These findings corroborate the plasticity of the female brain in response to acute hormone fluctuations and may help to further understand the neuroendocrine interactions underlying cognitive changes along the menstrual cycle. Nature Publishing Group UK 2021-08-10 /pmc/articles/PMC8355156/ /pubmed/34376799 http://dx.doi.org/10.1038/s42003-021-02447-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hidalgo-Lopez, Esmeralda
Zeidman, Peter
Harris, TiAnni
Razi, Adeel
Pletzer, Belinda
Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle
title Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle
title_full Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle
title_fullStr Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle
title_full_unstemmed Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle
title_short Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle
title_sort spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355156/
https://www.ncbi.nlm.nih.gov/pubmed/34376799
http://dx.doi.org/10.1038/s42003-021-02447-w
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