References
- Jernigan TL, Archibald SL, Fennema-Notestine C, Gamst AC, Stout JC, Bonner J, et al. Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiol Aging 2001; 22: 581-94. https://doi.org/10.1016/S0197-4580(01)00217-2
- Resnick SM, Pham DL, Kraut MA, Zonderman AB, Davatzikos C. Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain. J Neurosci 2003; 23: 3295-301.
- Michielse S, Coupland N, Camicioli R, Carter R, Seres P, Sabino J, et al. Selective effects of aging on brain white matter microstructure: a diffusion tensor imaging tractography study. Neuroimage 2010; 52: 1190-201. https://doi.org/10.1016/j.neuroimage.2010.05.019
- Taki Y, Goto R, Evans A, Zijdenbos A, Neelin P, Lerch J, et al. Voxel-based morphometry of human brain with age and cerebrovascular risk factors. Neurobiol Aging 2004; 25: 455-63. https://doi.org/10.1016/j.neurobiolaging.2003.09.002
- Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 2001; 14(1 Pt 1): 21-36. https://doi.org/10.1006/nimg.2001.0786
- Sato K, Taki Y, Fukuda H, Kawashima R. Neuroanatomical database of normal Japanese brains. Neural Netw 2003; 16: 1301-10. https://doi.org/10.1016/j.neunet.2003.06.004
- Lemaitre H, Crivello F, Grassiot B, Alperovitch A, Tzourio C, Mazoyer B. Age- and sex-related effects on the neuroanatomy of healthy elderly. Neuroimage 2005; 26: 900-11. https://doi.org/10.1016/j.neuroimage.2005.02.042
- Allen JS, Bruss J, Brown CK, Damasio H. Normal neuroanatomical variation due to age: the major lobes and a parcellation of the temporal region. Neurobiol Aging 2005; 26: 1245-60. https://doi.org/10.1016/j.neurobiolaging.2005.05.023
- Raz N, Lindenberger U, Rodrigue KM, Kennedy KM, Head D, Williamson A, et al. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb Cortex 2005; 15: 1676-89. https://doi.org/10.1093/cercor/bhi044
- Scahill RI, Frost C, Jenkins R, Whitwell JL, Rossor MN, Fox NC. A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. Arch Neurol 2003; 60: 989-94. https://doi.org/10.1001/archneur.60.7.989
- Abe O, Yamasue H, Aoki S, Suga M, Yamada H, Kasai K, et al. Aging in the CNS: comparison of gray/white matter volume and diffusion tensor data. Neurobiol Aging 2008; 29: 102-16. https://doi.org/10.1016/j.neurobiolaging.2006.09.003
- Kalpouzos G, Chetelat G, Baron JC, Landeau B, Mevel K, Godeau C, et al. Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging. Neurobiol Aging 2009; 30: 112-24. https://doi.org/10.1016/j.neurobiolaging.2007.05.019
- Sullivan EV, Marsh L, Pfefferbaum A. Preservation of hippocampal volume throughout adulthood in healthy men and women. Neurobiol Aging 2005; 26: 1093-8. https://doi.org/10.1016/j.neurobiolaging.2004.09.015
- DeCarli C, Massaro J, Harvey D, Hald J, Tullberg M, Au R, et al. Measures of brain morphology and infarction in the framingham heart study: establishing what is normal. Neurobiol Aging 2005; 26: 491-510. https://doi.org/10.1016/j.neurobiolaging.2004.05.004
- Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol 1987; 149: 351-6. https://doi.org/10.2214/ajr.149.2.351
- Scheltens P, Barkhof F, Leys D, Pruvo JP, Nauta JJ, Vermersch P, et al. A semiquantative rating scale for the assessment of signal hyperintensities on magnetic resonance imaging. J Neurol Sci 1993; 114: 7-12. https://doi.org/10.1016/0022-510X(93)90041-V
- Lancaster JL, Woldorff MG, Parsons LM, Liotti M, Freitas CS, Rainey L, et al. Automated Talairach atlas labels for functional brain mapping. Hum Brain Mapp 2000; 10: 120-31. https://doi.org/10.1002/1097-0193(200007)10:3<120::AID-HBM30>3.0.CO;2-8
- Smith CD, Chebrolu H, Wekstein DR, Schmitt FA, Markesbery WR. Age and gender effects on human brain anatomy: a voxel-based morphometric study in healthy elderly. Neurobiol Aging 2007; 28: 1075-87. https://doi.org/10.1016/j.neurobiolaging.2006.05.018
- Fotenos AF, Snyder AZ, Girton LE, Morris JC, Buckner RL. Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD. Neurology 2005; 64: 1032-9. https://doi.org/10.1212/01.WNL.0000154530.72969.11
- Tisserand DJ, Pruessner JC, Sanz Arigita EJ, van Boxtel MP, Evans AC, Jolles J, et al. Regional frontal cortical volumes decrease differentially in aging: an MRI study to compare volumetric approaches and voxel-based morphometry. Neuroimage 2002; 17: 657-69. https://doi.org/10.1006/nimg.2002.1173
- Pagani E, Agosta F, Rocca MA, Caputo D, Filippi M. Voxel-based analysis derived from fractional anisotropy images of white matter volume changes with aging. Neuroimage 2008; 41: 657-67. https://doi.org/10.1016/j.neuroimage.2008.03.021
- Coleman PD, Flood DG. Neuron numbers and dendritic extent in normal aging and Alzheimer's disease. Neurobiol Aging 1987; 8: 521-45. https://doi.org/10.1016/0197-4580(87)90127-8
- Tisserand DJ, van Boxtel MP, Pruessner JC, Hofman P, Evans AC, Jolles J. A voxel-based morphometric study to determine individual differences in gray matter density associated with age and cognitive change over time. Cereb Cortex 2004; 14: 966-73. https://doi.org/10.1093/cercor/bhh057
- Rodriguez-Aranda C, Sundet K. The frontal hypothesis of cognitive aging: factor structure and age effects on four frontal tests among healthy individuals. J Genet Psychol 2006; 167: 269-87. https://doi.org/10.3200/GNTP.167.3.269-287