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Consistent neuroanatomical age-related volume differences across multiple samples
Open accessAbstract
Magnetic resonance imaging (MRI) is the principal method for studying structural age-related brain changes in vivo. However, previous research has yielded inconsistent results, precluding understanding of structural changes of the aging brain. This inconsistency is due to methodological differences and/or different aging patterns across samples. To overcome these problems, we tested age effects on 17 different neuroanatomical structures and total brain volume across five samples, of which one was split to further investigate consistency (883 participants). Widespread age-related volume differences were seen consistently across samples. In four of the five samples, all structures, except the brainstem, showed age-related volume differences. The strongest and most consistent effects were found for cerebral cortex, pallidum, putamen and accumbens volume. Total brain volume, cerebral white matter, caudate, hippocampus and the ventricles consistently showed non-linear age functions. Healthy aging appears associated with more widespread and consistent age-related neuroanatomical volume differences than previously believed.
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“Several studies36,38–41 have found that, consistent with reduced neural resources, older adults show a greater increase in activity, a lower asymptote, and an earlier decline than younger adults”
From Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing (2018) · cites this paper as [39]
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Metadata
- Authors
- Walhovd, K. B., Westlye, L. T., Amlien, I., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B., Dale, A. M., & Fjell, A. M.
- Affiliations
- University of Oslo (NO)
- Wayne State University (US)
- Massachusetts General Hospital (US)
- University of California San Diego (US)
- Corresponding author
- Walhovd, Kristine B.
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2011-05
- Volume
- 32
- Issue
- 5
- Pages
- 916-932
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC4040218
- OpenAlex
- W2120973488
- Cited by
- 506
- References
- 97
- Citations by year
- 2026: 22 · 2025: 13 · 2024: 22 · 2023: 23 · 2022: 31 · 2021: 43 · 2020: 39 · 2019: 44 · 2018: 31 · 2017: 25 · 2016: 28 · 2015: 28 · 2014: 37 · 2013: 32 · 2012: 42
- FWCI
- 18.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R37AG011230, R01-AG11230, R01AG011230)
- National Institute of Neurological Disorders and Stroke (R01NS039581, R01-NS39581)
- National Center for Research Resources (P41-RR-14075, R01RR013609, R01-RR13609, R01-RR16594, P41RR014075, R01RR016594)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain aging, total brain volume, cerebral cortex, globus pallidus, putamen, accumbens, hippocampus, caudate nucleus, ventricles, white matter, healthy aging
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Aging, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Organ Size, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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