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Longitudinal data are crucial for identifying superagers
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Medical and Translational Biology. Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI). Center for LifespanChanges in Brain and Cognition, University of Oslo, Oslo, Norway; Department of Health, Education and Technology, Luleå Universityof Technology, Luleå, Sweden.ORCID iD: 0000-0002-3367-1746
2024 (English)In: Aging Brain, E-ISSN 2589-9589, Vol. 5, article id 100118Article in journal, Letter (Other academic) Published
Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 5, article id 100118
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Neurosciences Gerontology, specialising in Medical and Health Sciences
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URN: urn:nbn:se:umu:diva-231149DOI: 10.1016/j.nbas.2024.100118ISI: 001337498100001PubMedID: 38948445Scopus ID: 2-s2.0-85206595454OAI: oai:DiVA.org:umu-231149DiVA, id: diva2:1909633
Available from: 2024-10-31 Created: 2024-10-31 Last updated: 2024-10-31Bibliographically approved

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Nyberg, Lars

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Department of Diagnostics and InterventionDepartment of Medical and Translational BiologyUmeå Centre for Functional Brain Imaging (UFBI)
NeurosciencesGerontology, specialising in Medical and Health Sciences

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