Open this publication in new window or tab >>Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.
Robert J. & Nancy D. Carney Institute for Brain Science, Brown University, RI, Providence, United States; Department of Neuroscience, Brown University, 185 Meeting Street, RI, Providence, United States.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin, Germany.
Rotman Research Institute at Baycrest, ON, Toronto, Canada.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Lentzeallee 94, 14195 Berlin, Germany and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, 10-12 Russell Square, London, United Kingdom.
Department of Psychology, University of Oregon, OR, Eugene, United States.
Department of Psychiatry, McGill University Montreal, QC, Montreal, Canada; Department of Psychology, Toronto Metropolitan University, ON, Toronto, Canada.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin, Germany; Department of Psychology, Stony Brook University, NY, Stony Brook, United States.
Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI). Umeå University, Faculty of Medicine, Department of Medical and Translational Biology. Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Lentzeallee 94, 14195 Berlin, Germany and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, 10-12 Russell Square, London, United Kingdom.
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2025 (English)In: Neuron, ISSN 0896-6273, E-ISSN 1097-4199, Vol. 113, no 1, p. 154-183Article, review/survey (Refereed) Published
Abstract [en]
The cognitive neuroscience of human aging seeks to identify neural mechanisms behind the commonalities and individual differences in age-related behavioral changes. This goal has been pursued predominantly through structural or “task-free” resting-state functional neuroimaging. The former has elucidated the material foundations of behavioral decline, and the latter has provided key insight into how functional brain networks change with age. Crucially, however, neither is able to capture brain activity representing specific cognitive processes as they occur. In contrast, task-based functional imaging allows a direct probe into how aging affects real-time brain-behavior associations in any cognitive domain, from perception to higher-order cognition. Here, we outline why task-based functional neuroimaging must move center stage to better understand the neural bases of cognitive aging. In turn, we sketch a multi-modal, behavior-first research framework that is built upon cognitive experimentation and emphasizes the importance of theory and longitudinal design.
Place, publisher, year, edition, pages
Elsevier, 2025
Keywords
aging, behavior, brain, cognition, EEG, fMRI, multimodal, neurochemistry, neuroimaging, PET
National Category
Neurosciences
Identifiers
urn:nbn:se:umu:diva-233856 (URN)10.1016/j.neuron.2024.12.008 (DOI)001415682500001 ()2-s2.0-85213895004 (Scopus ID)
Funder
Knut and Alice Wallenberg FoundationGerman Research Foundation (DFG)
2025-01-092025-01-092025-04-24Bibliographically approved