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A Whole-Brain Model of the Aging Brain During Slow Wave Sleep

E. Lupi, G. Di Antonio, M. Angiolelli, M. Sacha, MA. Kayabas, N. Alboré, R. Leone, K. El Kanbi, A. Destexhe, J. Fousek

. 2024 ; 11 (11) : . [pub] 20241106

Language English Country United States

Document type Journal Article

Persistent link   https://www.medvik.cz/link/bmc25003510

Age-related brain changes affect sleep and are reflected in properties of sleep slow-waves, however, the precise mechanisms behind these changes are still not completely understood. Here, we adapt a previously established whole-brain model relating structural connectivity changes to resting state dynamics, and extend it to a slow-wave sleep brain state. In particular, starting from a representative connectome at the beginning of the aging trajectory, we have gradually reduced the inter-hemispheric connections, and simulated sleep-like slow-wave activity. We show that the main empirically observed trends, namely a decrease in duration and increase in variability of the slow waves are captured by the model. Furthermore, comparing the simulated EEG activity to the source signals, we suggest that the empirically observed decrease in amplitude of the slow waves is caused by the decrease in synchrony between brain regions.

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$a Age-related brain changes affect sleep and are reflected in properties of sleep slow-waves, however, the precise mechanisms behind these changes are still not completely understood. Here, we adapt a previously established whole-brain model relating structural connectivity changes to resting state dynamics, and extend it to a slow-wave sleep brain state. In particular, starting from a representative connectome at the beginning of the aging trajectory, we have gradually reduced the inter-hemispheric connections, and simulated sleep-like slow-wave activity. We show that the main empirically observed trends, namely a decrease in duration and increase in variability of the slow waves are captured by the model. Furthermore, comparing the simulated EEG activity to the source signals, we suggest that the empirically observed decrease in amplitude of the slow waves is caused by the decrease in synchrony between brain regions.
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$a Di Antonio, Gabriele $u Research Center "Enrico Fermi", Rome 00184, Italy $u "Roma Tre" University of Rome, Rome 00146, Italy $u Natl. Center for Radiation Protection and Computational Physics, Istituto Superiore di Sanità, Rome 00161, Italy $1 https://orcid.org/0009000875724157
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$a Angiolelli, Marianna $u Department of Engineering, Università Campus Bio-Medico di Roma, Rome 00128, Italy $1 https://orcid.org/0000000197170572
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$a Sacha, Maria $u Institute of Neuroscience (NeuroPSI), Paris-Saclay University, Centre National de la Recherche Scientifique (CNRS), Saclay 91400, France
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$a Kayabas, Mehmet Alihan $u Univ Rennes, INSERM, Rennes 35043, France
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$a Alboré, Nicola $u Research Center "Enrico Fermi", Rome 00184, Italy $u Natl. Center for Radiation Protection and Computational Physics, Istituto Superiore di Sanità, Rome 00161, Italy $u "Tor Vergata" University of Rome, Rome 00133, Italy
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$a Leone, Riccardo $u Faculty of Medicine, University of Bonn, Bonn 53115, Germany $u Computational Neurology Group, Ruhr University Bochum, Bochum 44801, Germany $u Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn 53127, Germany
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$a El Kanbi, Karim $u DREEM, Paris 75003, France
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