Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture.

Autor:	Varga L; Faculty of Mathematics and Computer Science, Babeș-Bolyai University, Cluj-Napoca, Romania; Faculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania; Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania., Moca VV; Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania., Molnár B; Faculty of Mathematics and Computer Science, Babeș-Bolyai University, Cluj-Napoca, Romania; Faculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania; Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania., Perez-Cervera L; Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, San Juan de Alicante, Spain., Selim MK; Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, San Juan de Alicante, Spain., Díaz-Parra A; Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain., Moratal D; Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain., Péntek B; Faculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania., Sommer WH; Institute of Psychopharmacology and Clinic for Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany., Mureșan RC; Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania; STAR-UBB Institute, Babeș-Bolyai University, Cluj-Napoca, Romania. Electronic address: muresan@tins.ro., Canals S; Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, San Juan de Alicante, Spain. Electronic address: scanals@umh.es., Ercsey-Ravasz M; Faculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania; Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania. Electronic address: maria.ercsey@ubbcluj.ro.
Jazyk:	angličtina
Zdroj:	Cell systems [Cell Syst] 2024 Aug 21; Vol. 15 (8), pp. 770-786.e5. Date of Electronic Publication: 2024 Aug 13.
DOI:	10.1016/j.cels.2024.07.003
Abstrakt:	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. Competing Interests: Declaration of interests The authors declare no competing interests. (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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