The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A Longitudinal Study of Brain Volume Changes in Normal Aging Using Serial Registered Magnetic Resonance Imaging
Abstract
OBJECTIVE: To investigate the effect of age on global and regional brain volumes and rates of atrophy, and to compare directly results based on cross-sectional and longitudinal data. METHODS: Thirty-nine healthy control subjects (age range, 31-84 years) underwent serial magnetic resonance imaging assessments. Measurements included the whole-brain, temporal lobe, hippocampal, and ventricular volumes at baseline and for repeat scans. RESULTS: We found significant decreases in cross-sectional whole-brain (P<.001), temporal lobe (P<.001), and hippocampal (P =.003) volumes and a significant increase in ventricular volume (P<.001) with increasing age. Cross-sectional and longitudinal estimates of atrophy rates were similar. We also found directional evidence of acceleration in atrophy rates with increasing age in all analyses, with the most marked changes occurring after 70 years of age. This increase in rates after 70 years of age was particularly marked in the ventricles (P<.001) and the hippocampi (P =.01). CONCLUSIONS: We found a significant age-associated decrease in global and regional brain volumes. Some evidence indicates that this decline in brain volumes may be due to a nonlinear acceleration in rates of atrophy with increasing age. A better understanding of this process may help to discriminate normal age-related changes from neurodegenerative diseases.
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Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y. C., Waring, S. C., O'Brien, P. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., & Kokmen, E. (1997) · Neurology · doi:10.1212/wnl.49.3.786 · Cited by 1,128
Patterns of temporal lobe atrophy in semantic dementia and Alzheimer's disease
Chan, D., Fox, N. C., Scahill, R. I., Crum, W. R., Whitwell, J. L., Leschziner, G., Rossor, A. M., Stevens, J. M., Cipolotti, L., & Rossor, M. N. (2001) · Annals of Neurology · doi:10.1002/ana.92 · Cited by 749
Self-citationRate of medial temporal lobe atrophy in typical aging and Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y., O'Brien, P. C., Smith, G. E., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1998) · Neurology · doi:10.1212/wnl.51.4.993 · Cited by 666
Jack, C. R., Twomey, C. K., Zinsmeister, A. R., Sharbrough, F. W., Petersen, R. C., & Cascino, G. D. (1989) · Radiology · doi:10.1148/radiology.172.2.2748838 · Cited by 592
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Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers
Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi044 · Cited by 2,875
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Metadata
- Authors
- Scahill, R. I., Frost, C., Jenkins, R., Whitwell, J. L., Rossor, M. N., & Fox, N. C.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2003-07-01
- Volume
- 60
- Issue
- 7
- Pages
- 989
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2045892248
- Cited by
- 924
- References
- 7
- FWCI
- 11.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Scahill, R. I., Frost, C., Jenkins, R., Whitwell, J. L., Rossor, M. N., & Fox, N. C. (2003). A Longitudinal Study of Brain Volume Changes in Normal Aging Using Serial Registered Magnetic Resonance Imaging. Archives of Neurology. https://doi.org/10.1001/archneur.60.7.989
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