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  Human menstrual cycle variation in subcortical functional brain connectivity: A multimodal analysis approach

Hidalgo-Lopez, E., Mueller, K., Harris, T., Aichhorn, M., Sacher, J., & Pletzer, B. (2020). Human menstrual cycle variation in subcortical functional brain connectivity: A multimodal analysis approach. Brain Structure & Function, 225, 591-605. doi:10.1007/s00429-019-02019-z.

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 Urheber:
Hidalgo-Lopez, Esmeralda1, Autor
Mueller, Karsten2, 3, Autor           
Harris, TiAnni1, Autor
Aichhorn, Markus1, Autor
Sacher, Julia4, 5, Autor           
Pletzer, Belinda1, Autor
Affiliations:
1Centre for Cognitive Neuroscience (CCNS), University of Salzburg, Austria, ou_persistent22              
2Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              
3Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_3282987              
4Minerva Research Group EGG (Emotion & neuroimaGinG) Lab, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3230775              
5Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              

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Schlagwörter: Amplitude of low-frequency fluctuations (ALFF); Eigenvector centrality mapping (ECM); Intrinsic connectivity networks (ICN); Menstrual cycle; Resting state; Seed-based connectivity
 Zusammenfassung: Increasing evidence suggests that endogenous sex steroid changes affect human brain functional connectivity, which could be obtained by resting-state fMRI (RS-fMRI). Nevertheless, RS studies on the menstrual cycle (MC) are underrepresented and yield inconsistent results. We attribute these inconsistencies to the use of various methods in exploratory approaches and small sample sizes. Hormonal fluctuations along the MC likely elicit subtle changes that, however, may still have profound impact on network dynamics when affecting key brain nodes. To address these issues, we propose a ROI-based multimodal analysis approach focusing on areas of high functional relevance to adequately capture these changes. To that end, sixty naturally cycling women underwent RS-fMRI in three different cycle phases and we performed the following analyses: (1) group-independent component analyses to identify intrinsic connectivity networks, (2) eigenvector centrality (EC) as a measure of centrality in the global connectivity hierarchy, (3) amplitude of low-frequency fluctuations (ALFF) as a measure of oscillatory activity and (4) seed-based analyses to investigate functional connectivity from the ROIs. For (2)–(4), we applied a hypothesis-driven ROI approach in the hippocampus, caudate and putamen. In the luteal phase, we found (1) decreased intrinsic connectivity of the right angular gyrus with the default mode network, (2) heightened EC for the hippocampus, and (3) increased ALFF for the caudate. Furthermore, we observed (4) stronger putamen–thalamic connectivity during the luteal phase and stronger fronto-striatal connectivity during the pre-ovulatory phase. This hormonal modulation of connectivity dynamics may underlie behavioural, emotional and sensorimotor changes along the MC.

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Sprache(n): eng - English
 Datum: 2019-05-182019-12-182020-01-012020-03
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1007/s00429-019-02019-z
Anderer: Epub 2020
PMID: 31894405
 Art des Abschluß: -

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Projektname : -
Grant ID : W 1233-G17; P28261
Förderprogramm : -
Förderorganisation : Austrian Science Fund (FWF)
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Förderprogramm : Branco Weiss Fellowship
Förderorganisation : Society in Science

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Titel: Brain Structure & Function
  Kurztitel : Brain Struct Funct
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Berlin : Springer
Seiten: - Band / Heft: 225 Artikelnummer: - Start- / Endseite: 591 - 605 Identifikator: ISSN: 1863-2653
CoNE: https://pure.mpg.de/cone/journals/resource/1863-2653