Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle
| Autor: | Tyler Santander, Jean M. Carlson, Laura Pritschet, Joshua M. Mueller, Scott T. Grafton, Emily G. Jacobs, Caitlin M. Taylor |
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| Rok vydání: | 2020 |
| Předmět: |
Dynamic community detection
Brain activity and meditation media_common.quotation_subject Neurosciences. Biological psychiatry. Neuropsychiatry Biology 03 medical and health sciences Follicle-stimulating hormone 0302 clinical medicine Neuroimaging Artificial Intelligence Network flexibility Sex hormones Prefrontal cortex Ovulation Menstrual cycle Default mode network 030304 developmental biology media_common 0303 health sciences Applied Mathematics General Neuroscience Computer Science Applications Dense sampling Luteinizing hormone Neuroscience 030217 neurology & neurosurgery RC321-571 Hormone Research Article |
| Zdroj: | Network Neuroscience Network Neuroscience, Vol 5, Iss 1, Pp 125-144 (2021) |
| ISSN: | 2472-1751 |
| Popis: | Sex steroid hormones have been shown to alter regional brain activity, but the extent to which they modulate connectivity within and between large-scale functional brain networks over time has yet to be characterized. Here, we applied dynamic community detection techniques to data from a highly sampled female with 30 consecutive days of brain imaging and venipuncture measurements to characterize changes in resting-state community structure across the menstrual cycle. Four stable functional communities were identified, consisting of nodes from visual, default mode, frontal control, and somatomotor networks. Limbic, subcortical, and attention networks exhibited higher than expected levels of nodal flexibility, a hallmark of between-network integration and transient functional reorganization. The most striking reorganization occurred in a default mode subnetwork localized to regions of the prefrontal cortex, coincident with peaks in serum levels of estradiol, luteinizing hormone, and follicle stimulating hormone. Nodes from these regions exhibited strong intranetwork increases in functional connectivity, leading to a split in the stable default mode core community and the transient formation of a new functional community. Probing the spatiotemporal basis of human brain–hormone interactions with dynamic community detection suggests that hormonal changes during the menstrual cycle result in temporary, localized patterns of brain network reorganization. Author Summary Sex steroid hormones influence the central nervous system across multiple spatiotemporal scales. Estrogen and progesterone concentrations rise and fall throughout the menstrual cycle, but it remains poorly understood whether day-to-day fluctuations in hormones shape human brain dynamics. Here, we assessed the structure and stability of resting-state brain network connectivity in concordance with serum hormone levels from a female who underwent fMRI and venipuncture for 30 consecutive days. Our results reveal that while network structure is largely stable over the course of a menstrual cycle, temporary reorganization of several large-scale functional brain networks occurs during the ovulatory window. In particular, a default mode subnetwork exhibits increased connectivity with itself and with nodes belonging to the temporoparietal and limbic networks, providing novel perspective into brain-hormone interactions. |
| Databáze: | OpenAIRE |
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