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Consistent neuroanatomical age-related volume differences across multiple samples

Institution:
Center for the Study of Human Cognition, Department of Psychology, University of Oslo, Norway; Department of Neuropsychology, Ullevaal University Hospital, Norway.
Publisher:
Neurobiol Aging
Publication Date:
Jun-2009
Citation:
Neurobiol Aging. 2009 Jun 29.
PubMed ID:
19570593
Keywords:
MRI morphometry , Age, Cortex, White matter, Cerebellum, Ventricles, Hippocampus, Amygdala, Thalamus, Basal ganglia
Appears in Collections:
SLICER
Sponsors:
The Norwegian Research Council
NIH R01 NS39581, R01 RR16594, P41 RR14075, R01 AG11230, R01 RR13609)
The Mental Illness and Neuroscience Discovery (MIND) Institute
The Biomedical Informatics Research Network Project (BIRN, http://www.nbirn.net, funded by the National Center for Research Resources at the National Institutes of Health (NCRR BIRN Morphometric Project BIRN002))
The Wallenberg Foundation and the Swedish Medical Research Council (K2004-21X-15078-01A 45, K2007-62X-15077-04-1, and K2007-62X-15078-04-3)
Eastern Norway Health Authority (A135).
Generated Citation:
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. Consistent neuroanatomical age-related volume differences across multiple samples. Neurobiol Aging. 2009 Jun 29. PMID: 19570593.
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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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