Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle
AbstractSex 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 hig...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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The MIT Press
2021-02-01
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| Series: | Network Neuroscience |
| Online Access: | https://direct.mit.edu/netn/article/5/1/125/97524/Dynamic-community-detection-reveals-transient |
| _version_ | 1818945570936455168 |
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| author | Joshua M. Mueller Laura Pritschet Tyler Santander Caitlin M. Taylor Scott T. Grafton Emily Goard Jacobs Jean M. Carlson |
| author_facet | Joshua M. Mueller Laura Pritschet Tyler Santander Caitlin M. Taylor Scott T. Grafton Emily Goard Jacobs Jean M. Carlson |
| author_sort | Joshua M. Mueller |
| collection | DOAJ |
| description | AbstractSex 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. |
| first_indexed | 2024-12-20T08:01:13Z |
| format | Article |
| id | doaj.art-679569938d0d4f0882fcfd629f8fca12 |
| institution | Directory Open Access Journal |
| issn | 2472-1751 |
| language | English |
| last_indexed | 2024-12-20T08:01:13Z |
| publishDate | 2021-02-01 |
| publisher | The MIT Press |
| record_format | Article |
| series | Network Neuroscience |
| spelling | doaj.art-679569938d0d4f0882fcfd629f8fca122022-12-21T19:47:31ZengThe MIT PressNetwork Neuroscience2472-17512021-02-015112514410.1162/netn_a_00169Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycleJoshua M. Mueller0http://orcid.org/0000-0002-7916-4846Laura Pritschet1Tyler Santander2Caitlin M. Taylor3Scott T. Grafton4Emily Goard Jacobs5Jean M. Carlson6Interdepartmental Graduate Program in Dynamical Neuroscience, University of California, Santa Barbara, Santa Barbara, CA, USADepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, USADepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, USADepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, USAInterdepartmental Graduate Program in Dynamical Neuroscience, University of California, Santa Barbara, Santa Barbara, CA, USAInterdepartmental Graduate Program in Dynamical Neuroscience, University of California, Santa Barbara, Santa Barbara, CA, USAInterdepartmental Graduate Program in Dynamical Neuroscience, University of California, Santa Barbara, Santa Barbara, CA, USAAbstractSex 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.https://direct.mit.edu/netn/article/5/1/125/97524/Dynamic-community-detection-reveals-transient |
| spellingShingle | Joshua M. Mueller Laura Pritschet Tyler Santander Caitlin M. Taylor Scott T. Grafton Emily Goard Jacobs Jean M. Carlson Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle Network Neuroscience |
| title | Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle |
| title_full | Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle |
| title_fullStr | Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle |
| title_full_unstemmed | Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle |
| title_short | Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle |
| title_sort | dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle |
| url | https://direct.mit.edu/netn/article/5/1/125/97524/Dynamic-community-detection-reveals-transient |
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