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| Verfasst von: | Varga, Levente [VerfasserIn]  |
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| | Moca, Vasile V. [VerfasserIn] |
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| | Molnár, Botond [VerfasserIn] |
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| | Perez-Cervera, Laura [VerfasserIn] |
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| | Selim, Mohamed Kotb [VerfasserIn] |
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| | Díaz-Parra, Antonio [VerfasserIn] |
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| | Moratal, David [VerfasserIn] |
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| | Péntek, Balázs [VerfasserIn] |
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| | Sommer, Wolfgang H. [VerfasserIn] |
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| | Mureșan, Raul C. [VerfasserIn] |
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| | Canals, Santiago [VerfasserIn] |
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| | Ercsey-Ravasz, Maria [VerfasserIn] |
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| Titel: | Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture |
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| Verf.angabe: | Levente Varga, Vasile V. Moca, Botond Molnár, Laura Perez-Cervera, Mohamed Kotb Selim, Antonio Díaz-Parra, David Moratal, Balázs Péntek, Wolfgang H. Sommer, Raul C. Mureșan, Santiago Canals, and Maria Ercsey-Ravasz |
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| E-Jahr: | 2024 |
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| Jahr: | 21 August 2024 |
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| Umfang: | 23 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Online verfügbar: 13. August 2024, Artikelversion: 21. August 2024 ; Gesehen am 15.10.2024 |
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| Titel Quelle: | Enthalten in: Cell systems |
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| Ort Quelle: | Maryland Heights, MO : Elsevier, 2015 |
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| Jahr Quelle: | 2024 |
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| Band/Heft Quelle: | 15(2024), 8 vom: Aug., Seite 770-786.e5 |
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| ISSN Quelle: | 2405-4720 |
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| Abstract: | Functional magnetic resonance imaging (fMRI) provides insights into cognitive processes with significant clinical potential. However, delays in brain region communication and dynamic variations are often overlooked in functional network studies. We demonstrate that networks extracted from fMRI cross-correlation matrices, considering time lags between signals, show remarkable reliability when focusing on statistical distributions of network properties. This reveals a robust brain functional connectivity pattern, featuring a sparse backbone of strong 0-lag correlations and weaker links capturing coordination at various time delays. This dynamic yet stable network architecture is consistent across rats, marmosets, and humans, as well as in electroencephalogram (EEG) data, indicating potential universality in brain dynamics. Second-order properties of the dynamic functional network reveal a remarkably stable hierarchy of functional correlations in both group-level comparisons and test-retest analyses. Validation using alcohol use disorder fMRI data uncovers broader shifts in network properties than previously reported, demonstrating the potential of this method for identifying disease biomarkers. |
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| DOI: | doi:10.1016/j.cels.2024.07.003 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1016/j.cels.2024.07.003 |
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| | kostenfrei: Volltext: https://www.sciencedirect.com/science/article/pii/S2405471224002023 |
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| | DOI: https://doi.org/10.1016/j.cels.2024.07.003 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | alcohol use disorder |
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| | brain dynamics |
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| | EEG |
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| | functional brain networks |
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| | functional MRI |
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| | network analysis |
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| | network backbone |
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| | neuroimaging |
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| | systems biology |
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| K10plus-PPN: | 1905714033 |
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| Verknüpfungen: | → Zeitschrift |
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Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture / Varga, Levente [VerfasserIn]; 21 August 2024 (Online-Ressource)
