Menstrual cycle-driven hormone concentrations co-fluctuate with white and gray matter architecture changes across the whole brain

IF 3.5 2区 医学 Q1 NEUROIMAGING Human Brain Mapping Pub Date : 2024-07-19 DOI:10.1002/hbm.26785
Elizabeth J. Rizor, Viktoriya Babenko, Neil M. Dundon, Renee Beverly-Aylwin, Alexandra Stump, Margaret Hayes, Luna Herschenfeld-Catalan, Emily G. Jacobs, Scott T. Grafton
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Abstract

Cyclic fluctuations in hypothalamic–pituitary–gonadal axis (HPG-axis) hormones exert powerful behavioral, structural, and functional effects through actions on the mammalian central nervous system. Yet, very little is known about how these fluctuations alter the structural nodes and information highways of the human brain. In a study of 30 naturally cycling women, we employed multidimensional diffusion and T1-weighted imaging during three estimated menstrual cycle phases (menses, ovulation, and mid-luteal) to investigate whether HPG-axis hormone concentrations co-fluctuate with alterations in white matter (WM) microstructure, cortical thickness (CT), and brain volume. Across the whole brain, 17β-estradiol and luteinizing hormone (LH) concentrations were directly proportional to diffusion anisotropy (μFA; 17β-estradiol: β1 = 0.145, highest density interval (HDI) = [0.211, 0.4]; LH: β1 = 0.111, HDI = [0.157, 0.364]), while follicle-stimulating hormone (FSH) was directly proportional to CT (β1 = 0 .162, HDI = [0.115, 0.678]). Within several individual regions, FSH and progesterone demonstrated opposing relationships with mean diffusivity (Diso) and CT. These regions mainly reside within the temporal and occipital lobes, with functional implications for the limbic and visual systems. Finally, progesterone was associated with increased tissue (β1 = 0.66, HDI = [0.607, 15.845]) and decreased cerebrospinal fluid (CSF; β1 = −0.749, HDI = [−11.604, −0.903]) volumes, with total brain volume remaining unchanged. These results are the first to report simultaneous brain-wide changes in human WM microstructure and CT coinciding with menstrual cycle-driven hormone rhythms. Effects were observed in both classically known HPG-axis receptor-dense regions (medial temporal lobe, prefrontal cortex) and in other regions located across frontal, occipital, temporal, and parietal lobes. Our results suggest that HPG-axis hormone fluctuations may have significant structural impacts across the entire brain.

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月经周期驱动的激素浓度与整个大脑的白质和灰质结构变化共同波动
下丘脑-垂体-性腺轴(HPG-轴)激素的周期性波动通过对哺乳动物中枢神经系统的作用,产生了强大的行为、结构和功能影响。然而,人们对这些波动如何改变人脑的结构节点和信息高速公路却知之甚少。在一项针对 30 名自然周期女性的研究中,我们采用了多维扩散和 T1 加权成像技术,在估计的三个月经周期阶段(经期、排卵期和黄体中期)研究 HPG 轴激素浓度是否与白质(WM)微结构、皮质厚度(CT)和脑容量的改变共同波动。在整个大脑中,17β-雌二醇和促黄体生成素(LH)的浓度与扩散各向异性成正比(μFA;17β-雌二醇:β1 = 0.145,最高密度区间(HDI) = [0.211,0.4];LH:β1 = 0.111,HDI = [0.157,0.364]),而促卵泡激素(FSH)与 CT 成正比(β1 = 0 .162,HDI = [0.115,0.678])。在几个单独的区域内,促肾上腺皮质激素和孕酮与平均扩散率(Diso)和 CT 呈相反关系。这些区域主要位于颞叶和枕叶,对边缘系统和视觉系统具有功能性影响。最后,孕酮与组织体积增加(β1 = 0.66,HDI = [0.607,15.845])和脑脊液(CSF;β1 = -0.749,HDI = [-11.604,-0.903])减少有关,而脑总体积保持不变。这些结果首次报告了人类WM微观结构和CT与月经周期驱动的激素节律同时发生的全脑变化。在经典已知的 HPG 轴受体密集区(颞叶内侧、前额叶皮层)以及位于额叶、枕叶、颞叶和顶叶的其他区域都观察到了影响。我们的研究结果表明,HPG-轴激素波动可能对整个大脑的结构产生重大影响。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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