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dc.contributor.authorNechyporenko, K
dc.contributor.authorVoliotis, M
dc.contributor.authorLi, XF
dc.contributor.authorHollings, O
dc.contributor.authorIvanova, D
dc.contributor.authorWalker, JJ
dc.contributor.authorO'Byrne, KT
dc.contributor.authorTsaneva-Atanasova, K
dc.date.accessioned2024-09-16T10:55:18Z
dc.date.issued2024-08-28
dc.date.updated2024-09-14T12:03:15Z
dc.description.abstractNormal reproductive function and fertility rely on the rhythmic secretion of gonadotropin-releasing hormone (GnRH), which is driven by the hypothalamic GnRH pulse generator. A key regulator of the GnRH pulse generator is the posterodorsal subnucleus of the medial amygdala (MePD), a brain region that is involved in processing external environmental cues, including the effect of stress. However, the neuronal pathways enabling the dynamic, stress-triggered modulation of GnRH secretion remain largely unknown. Here, we employ in silico modelling in order to explore the impact of dynamic inputs on GnRH pulse generator activity. We introduce and analyse a mathematical model representing MePD neuronal circuits composed of GABAergic and glutamatergic neuronal populations, integrating it with our GnRH pulse generator model. Our analysis dissects the influence of excitatory and inhibitory MePD projections' outputs on the GnRH pulse generator's activity and reveals a functionally relevant MePD glutamatergic projection to the GnRH pulse generator, which we probe with in vivo optogenetics. Our study sheds light on how MePD neuronal dynamics affect the GnRH pulse generator activity and offers insights into stress-related dysregulation.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipBiotechnology and Biological Sciences Research Council (BBSRC)en_GB
dc.description.sponsorshipMedical Research Council (MRC)en_GB
dc.identifier.citationVol. 21(217), article 20240143en_GB
dc.identifier.doihttps://doi.org/10.1098/rsif.2024.0143
dc.identifier.grantnumberEP/T017856/1en_GB
dc.identifier.grantnumberBB/W005883/1en_GB
dc.identifier.grantnumberBB/W005913/1en_GB
dc.identifier.grantnumberMR/N008936/1en_GB
dc.identifier.grantnumberMR/T032480/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/137458
dc.language.isoenen_GB
dc.publisherThe Royal Societyen_GB
dc.relation.urlhttps://doi.org/10.6084/m9.figshare.c.7402649en_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/39193642en_GB
dc.rights© 2024 The Author(s). Open access. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.en_GB
dc.subjectbifurcation analysisen_GB
dc.subjectcomputational health modellingen_GB
dc.subjectreproductive health and functionen_GB
dc.subjectstress-mediated neuromodulationsen_GB
dc.subjectsystem dynamics in health innovationsen_GB
dc.titleNeuronal network dynamics in the posterodorsal amygdala: shaping reproductive hormone pulsatilityen_GB
dc.typeArticleen_GB
dc.date.available2024-09-16T10:55:18Z
dc.identifier.issn1742-5689
exeter.article-number20240143
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available on open access from the Royal Society via the DOI in this recorden_GB
dc.descriptionData accessibility: The code to reproduce the analysis and data can be found on Zenodo [48]. Supplementary material is available online: https://doi.org/10.6084/m9.figshare.c.7402649en_GB
dc.identifier.eissn1742-5662
dc.identifier.journalJournal of the Royal Society Interfaceen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2024-07-09
dcterms.dateSubmitted2024-03-03
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-08-28
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-09-16T10:52:13Z
refterms.versionFCDVoR
refterms.dateFOA2024-09-16T10:55:40Z
refterms.panelBen_GB
refterms.dateFirstOnline2024-08-28
exeter.rights-retention-statementNo


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© 2024 The Author(s). Open access. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Except where otherwise noted, this item's licence is described as © 2024 The Author(s). Open access. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.