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      Changes in electrophysiological static and dynamic human brain functional architecture from childhood to late adulthood

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          Abstract

          This magnetoencephalography study aimed at characterizing age-related changes in resting-state functional brain organization from mid-childhood to late adulthood. We investigated neuromagnetic brain activity at rest in 105 participants divided into three age groups: children (6–9 years), young adults (18–34 years) and healthy elders (53–78 years). The effects of age on static resting-state functional brain integration were assessed using band-limited power envelope correlation, whereas those on transient functional brain dynamics were disclosed using hidden Markov modeling of power envelope activity. Brain development from childhood to adulthood came with (1) a strengthening of functional integration within and between resting-state networks and (2) an increased temporal stability of transient (100–300 ms lifetime) and recurrent states of network activation or deactivation mainly encompassing lateral or medial associative neocortical areas. Healthy aging was characterized by decreased static resting-state functional integration and dynamic stability within the primary visual network. These results based on electrophysiological measurements free of neurovascular biases suggest that functional brain integration mainly evolves during brain development, with limited changes in healthy aging. These novel electrophysiological insights into human brain functional architecture across the lifespan pave the way for future clinical studies investigating how brain disorders affect brain development or healthy aging.

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              Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.

              The majority of functional neuroscience studies have focused on the brain's response to a task or stimulus. However, the brain is very active even in the absence of explicit input or output. In this Article we review recent studies examining spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal of functional magnetic resonance imaging as a potentially important and revealing manifestation of spontaneous neuronal activity. Although several challenges remain, these studies have provided insight into the intrinsic functional architecture of the brain, variability in behaviour and potential physiological correlates of neurological and psychiatric disease.
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                Author and article information

                Contributors
                ncoquele@ulb.ac.be
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                4 November 2020
                4 November 2020
                2020
                : 10
                : 18986
                Affiliations
                [1 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, Laboratoire de Cartographie Fonctionnelle du Cerveau (LCFC), UNI–ULB Neuroscience Institute, , Université Libre de Bruxelles (ULB), ; 1070 Brussels, Belgium
                [2 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, Department of Functional Neuroimaging, CUB Hôpital Erasme, , Université Libre de Bruxelles, ; Brussels, Belgium
                [3 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, Neuropsychology and Functional Neuroimaging Research (UR2NF), Centre for Research in Cognition and Neurosciences (CRCN), UNI–ULB Neuroscience Institute, , Université Libre de Bruxelles, ; Brussels, Belgium
                [4 ]GRID grid.5608.b, ISNI 0000 0004 1757 3470, Department of Neurosciences, , University of Padua, ; Padua, Italy
                [5 ]GRID grid.423986.2, ISNI 0000 0004 0536 1366, BCBL – Basque Center on Cognition, Brain and Language, ; 20009 San Sebastián, Spain
                [6 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Department of Psychiatry, Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, , University of Oxford, ; Oxford, UK
                Article
                75858
                10.1038/s41598-020-75858-0
                7642359
                33149179
                0a782717-d1ba-47f7-b9a2-75e1b744fe74
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 April 2020
                : 20 October 2020
                Funding
                Funded by: Fonds Erasme
                Funded by: Fonds De La Recherche Scientifique - FNRS
                Funded by: Action de Recherche Concertée Consolidation
                Funded by: FundRef http://dx.doi.org/10.13039/501100004744, Innoviris;
                Award ID: 2015-BB2B-10
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010665, H2020 Marie Skłodowska-Curie Actions;
                Award ID: 743562
                Award Recipient :
                Funded by: Spanish Ministery of Economy and Competitiveness
                Award ID: PSI2016-77175-P
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                cognitive ageing,development of the nervous system,neural ageing
                Uncategorized
                cognitive ageing, development of the nervous system, neural ageing

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