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Brain Flexibility Increases During the Peri-ovulatory Phase As Compared to Early Follicular Phase of the Menstrual Cycle

Overview
Journal Sci Rep
Specialty Science
Date 2024 Jan 23
PMID 38263324
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Abstract

The brain operates in a flexible dynamic regime, generating complex patterns of activity (i.e. neuronal avalanches). This study aimed at describing how brain dynamics change according to menstrual cycle (MC) phases. Brain activation patterns were estimated from resting-state magnetoencephalography (MEG) scans, acquired from women at early follicular (T1), peri-ovulatory (T2) and mid-luteal (T3) phases of the MC. We investigated the functional repertoire (number of brain configurations based on fast high-amplitude bursts of the brain signals) and the region-specific influence on large-scale dynamics across the MC. Finally, we assessed the relationship between sex hormones and changes in brain dynamics. A significantly larger number of visited configurations in T2 as compared to T1 was specifically observed in the beta frequency band. No relationship between changes in brain dynamics and sex hormones was evident. Finally, we showed that the left posterior cingulate gyrus and the right insula were recruited more often in the functional repertoire during T2 as compared to T1, while the right pallidum was more often part of the functional repertoires during T1 as compared to T2. In summary, we showed hormone-independent increased flexibility of the brain dynamics during the ovulatory phase. Moreover, we demonstrated that several specific brain regions play a key role in determining this change.

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References
1.
Farage M, Neill S, MacLean A . Physiological changes associated with the menstrual cycle: a review. Obstet Gynecol Surv. 2008; 64(1):58-72. DOI: 10.1097/OGX.0b013e3181932a37. View

2.
Rombetto S, Granata C, Vettoliere A, Russo M . Multichannel system based on a high sensitivity superconductive sensor for magnetoencephalography. Sensors (Basel). 2014; 14(7):12114-26. PMC: 4168467. DOI: 10.3390/s140712114. View

3.
Van Veen B, van Drongelen W, Yuchtman M, Suzuki A . Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans Biomed Eng. 1997; 44(9):867-80. DOI: 10.1109/10.623056. View

4.
Roxo M, Franceschini P, Zubaran C, Kleber F, Sander J . The limbic system conception and its historical evolution. ScientificWorldJournal. 2011; 11:2428-41. PMC: 3236374. DOI: 10.1100/2011/157150. View

5.
Bullmore E, Sporns O . Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009; 10(3):186-98. DOI: 10.1038/nrn2575. View