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Longitudinal monitoring of the mouse brain reveals heterogenous network trajectories during aging
Umeå University, Faculty of Medicine, Department of Medical and Translational Biology.
Umeå University, Faculty of Medicine, Department of Medical and Translational Biology.ORCID iD: 0000-0002-5589-9864
Umeå University, Faculty of Medicine, Department of Medical Biosciences. University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, Hanzeplein 1, Groningen, Netherlands.ORCID iD: 0000-0002-2507-7675
Umeå University, Faculty of Medicine, Department of Medical and Translational Biology.
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2024 (English)In: Communications Biology, E-ISSN 2399-3642, Vol. 7, no 1, article id 210Article in journal (Refereed) Published
Abstract [en]

The human aging brain is characterized by changes in network efficiency that are currently best captured through longitudinal resting-state functional MRI (rs-fMRI). These studies however are challenging due to the long human lifespan. Here we show that the mouse animal model with a much shorter lifespan allows us to follow the functional network organization over most of the animal’s adult lifetime. We used a longitudinal study of the functional connectivity of different brain regions with rs-fMRI under anesthesia. Our analysis uncovers network modules similar to those reported in younger mice and in humans (i.e., prefrontal/default mode network (DMN), somatomotor and somatosensory networks). Statistical analysis reveals different patterns of network reorganization during aging. Female mice showed a pattern akin to human aging, with de-differentiation of the connectome, mainly due to increases in connectivity of the prefrontal/DMN cortical networks to other modules. Our male cohorts revealed heterogenous aging patterns with only one group confirming the de- differentiation, while the majority showed an increase in connectivity of the somatomotor cortex to the Nucleus accumbens. In summary, in line with human work, our analysis in mice supports the concept of de-differentiation in the aging mammalian brain and reveals additional trajectories in aging mice networks.

Place, publisher, year, edition, pages
Springer Nature, 2024. Vol. 7, no 1, article id 210
National Category
Neurosciences Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-221665DOI: 10.1038/s42003-024-05873-8PubMedID: 38378942Scopus ID: 2-s2.0-85185453116OAI: oai:DiVA.org:umu-221665DiVA, id: diva2:1842002
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The Kempe Foundations, JCK-1922.2Available from: 2024-03-01 Created: 2024-03-01 Last updated: 2024-03-01Bibliographically approved

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Özalay, ÖzgunMediavilla, TomásGiacobbo, Bruno LimaPedersen, RobinMarcellino, DanielOrädd, GregerRieckmann, AnnaSultan, Fahad

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Özalay, ÖzgunMediavilla, TomásGiacobbo, Bruno LimaPedersen, RobinMarcellino, DanielOrädd, GregerRieckmann, AnnaSultan, Fahad
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Department of Medical and Translational BiologyDepartment of Medical BiosciencesDepartment of Diagnostics and InterventionRadiation Physics
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Communications Biology
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