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Neural Plasticity
Volume 2017, Article ID 6303512, 7 pages
https://doi.org/10.1155/2017/6303512
Research Article

Localizing Age-Related Changes in Brain Structure Using Voxel-Based Morphometry

1College of Psychology and Sociology, Shenzhen University, Shenzhen 518060, China
2Neuroimaging Laboratory, School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen 518060, China
3Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen 518057, China
4Shenzhen University Health Science Center, Shenzhen, China

Correspondence should be addressed to Jian Zhang; moc.361@yppahgnahzj and Li Hai Tan; moc.liamg@natiahil

Received 4 March 2016; Revised 12 August 2016; Accepted 15 September 2016; Published 17 January 2017

Academic Editor: Stuart C. Mangel

Copyright © 2017 Shu Hua Mu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. N. Giedd, J. Blumenthal, N. O. Jeffries et al., “Brain development during childhood and adolescence: A Longitudinal MRI Study,” Nature Neuroscience, vol. 2, no. 10, pp. 861–863, 1999. View at Publisher · View at Google Scholar · View at Scopus
  2. E. R. Sowell, P. M. Thompson, K. D. Tessner, and A. W. Toga, “Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: inverse relationships during postadolescent brain maturation,” Journal of Neuroscience, vol. 21, no. 22, pp. 8819–8829, 2001. View at Google Scholar · View at Scopus
  3. N. Gogtay, J. N. Giedd, L. Lusk et al., “Dynamic mapping of human cortical development during childhood through early adulthood,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 21, pp. 8174–8179, 2004. View at Publisher · View at Google Scholar · View at Scopus
  4. A. W. Toga, P. M. Thompson, and E. R. Sowell, “Mapping brain maturation,” Trends in Neurosciences, vol. 29, no. 3, pp. 148–159, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. E. R. Sowell, B. S. Peterson, P. M. Thompson, S. E. Welcome, A. L. Henkenius, and A. W. Toga, “Mapping cortical change across the human life span,” Nature Neuroscience, vol. 6, no. 3, pp. 309–315, 2003. View at Publisher · View at Google Scholar · View at Scopus
  6. T. Paus, A. Zijdenbos, K. Worsley et al., “Structural maturation of neural pathways in children and adolescents: In Vivo Study,” Science, vol. 283, no. 5409, pp. 1908–1911, 1999. View at Publisher · View at Google Scholar · View at Scopus
  7. J. Ashburner and K. J. Friston, “Voxel-based morphometry—the methods,” NeuroImage, vol. 11, no. 6, pp. 805–821, 2000. View at Publisher · View at Google Scholar · View at Scopus
  8. C. D. Good, I. S. Johnsrude, J. Ashburner, R. N. A. Henson, K. J. Friston, and R. S. J. Frackowiak, “A voxel-based morphometric study of ageing in 465 normal adult human brains,” NeuroImage, vol. 14, no. 1, pp. 21–36, 2001. View at Publisher · View at Google Scholar · View at Scopus
  9. D. J. Tisserand, J. C. Pruessner, E. J. Sanz Arigita et al., “Regional frontal cortical volumes decrease differentially in aging: an MRI study to compare volumetric approaches and voxel-based morphometry,” NeuroImage, vol. 17, no. 2, pp. 657–669, 2002. View at Publisher · View at Google Scholar · View at Scopus
  10. A. May, J. Ashburner, C. Büchel et al., “Correlation between structural and functional changes in brain in an idiopathic headache syndrome,” Nature Medicine, vol. 5, no. 7, pp. 836–838, 1999. View at Publisher · View at Google Scholar · View at Scopus
  11. C. Testa, A. Caroli, V. Roberto, and G. B. Frisoni, “Structural brain imaging in patients with cognitive impairment in the year 2015,” Future Neurology, vol. 1, no. 1, pp. 77–86, 2006. View at Publisher · View at Google Scholar
  12. N. S. White, M. T. Alkire, and R. J. Haier, “A voxel-based morphometric study of nondemented adults with Down Syndrome,” NeuroImage, vol. 20, no. 1, pp. 393–403, 2003. View at Publisher · View at Google Scholar · View at Scopus
  13. V. Rajagopalan, G. H. Yue, and E. P. Pioro, “Do preprocessing algorithms and statistical models influence voxel-based morphometry (VBM) results in amyotrophic lateral sclerosis patients? A systematic comparison of popular VBM analytical methods,” Journal of Magnetic Resonance Imaging, vol. 40, no. 3, pp. 662–667, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. M. F. Callaghan, P. Freund, B. Draganski et al., “Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging,” Neurobiology of Aging, vol. 35, no. 8, pp. 1862–1872, 2014. View at Publisher · View at Google Scholar · View at Scopus
  15. T. L. Kemper, “Neuroanatomical and neuropathological changes during aging and dementia,” Clinical Neurology of Aging, pp. 3–67, 1994. View at Google Scholar
  16. G. Bartzokis, M. Beckson, P. H. Lu, K. H. Nuechterlein, N. Edwards, and J. Mintz, “Age-related changes in frontal and temporal lobe volumes in men: a magnetic resonance imaging study,” Archives of General Psychiatry, vol. 58, no. 5, pp. 461–465, 2001. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Gregory and S. Hayflick, Neurodegeneration with Brain Iron Accumulation Disorders Overview, 2013.
  18. E. R. Sowell, P. M. Thompson, C. J. Holmes, T. L. Jernigan, and A. W. Toga, “In vivo evidence for post-adolescent brain maturation in frontal and striatal regions,” Nature Neuroscience, vol. 2, no. 10, pp. 859–861, 1999. View at Publisher · View at Google Scholar · View at Scopus
  19. A. J. Barkovich, B. O. Kjos, D. E. Jackson Jr., and D. Norman, “Normal maturation of the neonatal and infant brain: MR imaging at 1.5 T,” Radiology, vol. 166, no. 1, pp. 173–180, 1988. View at Publisher · View at Google Scholar · View at Scopus
  20. D. Wang, Y.-Y. Li, J.-H. Luo, and Y.-H. Li, “Age-related iron deposition in the basal ganglia of controls and Alzheimer disease patients quantified using susceptibility weighted imaging,” Archives of Gerontology and Geriatrics, vol. 59, no. 2, pp. 439–449, 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. C. M. Morris, J. M. Candy, A. E. Oakley, C. A. Bloxham, and J. A. Edwardson, “Histochemical distribution of non-haem iron in the human brain,” Acta Anatomica, vol. 144, no. 3, pp. 235–257, 1992. View at Publisher · View at Google Scholar · View at Scopus
  22. S.-J. Blakemore, “Imaging brain development: the adolescent brain,” NeuroImage, vol. 61, no. 2, pp. 397–406, 2012. View at Publisher · View at Google Scholar · View at Scopus
  23. P. Shaw, N. J. Kabani, J. P. Lerch et al., “Neurodevelopmental trajectories of the human cerebral cortex,” Journal of Neuroscience, vol. 28, no. 14, pp. 3586–3594, 2008. View at Publisher · View at Google Scholar · View at Scopus
  24. J. N. Giedd and J. L. Rapoport, “Structural MRI of pediatric brain development: what have we learned and where are we going?” Neuron, vol. 67, no. 5, pp. 728–734, 2010. View at Publisher · View at Google Scholar · View at Scopus
  25. G. L. Wallace, J. Eric Schmitt, R. Lenroot et al., “A pediatric twin study of brain morphometry,” Journal of Child Psychology and Psychiatry, vol. 47, no. 10, pp. 987–993, 2006. View at Publisher · View at Google Scholar · View at Scopus
  26. J. E. Schmitt, G. L. Wallace, M. A. Rosenthal et al., “A multivariate analysis of neuroanatomic relationships in a genetically informative pediatric sample,” NeuroImage, vol. 35, no. 1, pp. 70–82, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. W. Xie, J. E. Richards, D. Lei, K. Lee, and Q. Gong, “Comparison of the brain development trajectory between Chinese and U.S. children and adolescents,” Frontiers in Systems Neuroscience, vol. 8, article 249, 2015. View at Publisher · View at Google Scholar · View at Scopus