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Mapping cortical change across the human life span

Abstract

We used magnetic resonance imaging and cortical matching algorithms to map gray matter density (GMD) in 176 normal individuals ranging in age from 7 to 87 years. We found a significant, nonlinear decline in GMD with age, which was most rapid between 7 and about 60 years, over dorsal frontal and parietal association cortices on both the lateral and interhemispheric surfaces. Age effects were inverted in the left posterior temporal region, where GMD gain continued up to age 30 and then rapidly declined. The trajectory of maturational and aging effects varied considerably over the cortex. Visual, auditory and limbic cortices, which are known to myelinate early, showed a more linear pattern of aging than the frontal and parietal neocortices, which continue myelination into adulthood. Our findings also indicate that the posterior temporal cortices, primarily in the left hemisphere, which typically support language functions, have a more protracted course of maturation than any other cortical region.

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Figure 1: Statistical brain map for nonlinear age effects on GMD on the lateral brain surface.
Figure 2: Scatterplot map of the lateral brain surface.
Figure 3: Statistical brain map for nonlinear age effects on GMD on the interhemispheric brain surface.
Figure 4: Scatterplot map of the interhemispheric brain surface.
Figure 5: Peak-age maps.
Figure 6: Volume graphs.

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References

  1. Giedd, J.N. et al. Brain development during childhood and adolescence: a longitudinal MRI study. Nat. Neurosci. 2, 861–863 (1999).

    Article  CAS  Google Scholar 

  2. Paus, T. et al. Structural maturation of neural pathways in children and adolescents: an in vivo study. Science 283, 1908–1911 (1999).

    Article  CAS  Google Scholar 

  3. Sowell, E.R., Thompson, P.M., Holmes, C.J., Jernigan, T.L. & Toga, A.W. In vivo evidence for post-adolescent brain maturation in frontal and striatal regions. Nat. Neurosci. 2, 859–861 (1999).

    Article  CAS  Google Scholar 

  4. Sowell, E.R., Thompson, P.M., Tessner, K.D. & Toga, A.W. Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: inverse relationships during postadolescent brain maturation. J. Neurosci. 21, 8819–8829 (2001).

    Article  CAS  Google Scholar 

  5. Thompson, P.M. et al. Growth patterns in the developing brain detected by using continuum mechanical tensor maps. Nature 404, 190–193 (2000).

    Article  CAS  Google Scholar 

  6. Courchesne, E. et al. Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology 216, 672–682 (2000).

    Article  CAS  Google Scholar 

  7. Sowell, E.R. et al. Localizing age-related changes in brain structure between childhood and adolescence using statistical parametric mapping. Neuroimage 9, 587–597 (1999).

    Article  CAS  Google Scholar 

  8. Sowell, E.R., Trauner, D.A., Gamst, A. & Jernigan, T.L. Development of cortical and subcortical brain structures in childhood and adolescence: a structural MRI study. Dev. Med. Child Neurol. 44, 4–16 (2002).

    Article  Google Scholar 

  9. Bartzokis, G. et al. Age-related changes in frontal and temporal lobe volumes in men: a magnetic resonance imaging study. Arch. Gen. Psychiatry. 58, 461–465 (2001).

    Article  CAS  Google Scholar 

  10. Good, C.D. et al. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14, 21–36 (2001).

    Article  CAS  Google Scholar 

  11. Jernigan, T.L. et al. Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiol. Aging 22, 581–594 (2001).

    Article  CAS  Google Scholar 

  12. Yakovlev, P.I. & Lecours, A.R. The myelogenetic cycles of regional maturation of the brain. in Regional Development of the Brain in Early Life (ed. Minkowski, A.) 3–70 (Blackwell Scientific, Oxford, 1967).

    Google Scholar 

  13. Benes, F.M. Myelination of cortical-hippocampal relays during late adolescence. Schizophr. Bull. 15, 585–593 (1989).

    Article  CAS  Google Scholar 

  14. Benes, F.M., Turtle, M., Khan, Y. & Farol, P. Myelination of a key relay zone in the hippocampal formation occurs in the human brain during childhood, adolescence and adulthood. Arch. Gen. Psychiatry 51, 477–484 (1994).

    Article  CAS  Google Scholar 

  15. Huttenlocher, P.R. & Dabholkar, A.S. Regional differences in synaptogenesis in human cerebral cortex. J. Comp. Neurol. 387, 167–178 (1997).

    Article  CAS  Google Scholar 

  16. Morrison, J.H. & Hof, P.R. Life and death of neurons in the aging brain. Science 278, 412–419 (1997).

    Article  CAS  Google Scholar 

  17. Terry, R.D., DeTeresa, R. & Hansen, L.A. Neocortical cell counts in normal human adult aging. Ann. Neurol. 21, 530–539 (1987).

    Article  CAS  Google Scholar 

  18. Dekaban, A.S. Changes in brain weights during the span of human life: relation of brain weights to body heights and body weights. Ann. Neurol. 4, 345–356 (1978).

    Article  CAS  Google Scholar 

  19. Sowell, E.R. et al. Mapping sulcal pattern asymmetry and local cortical surface gray matter distribution in vivo: maturation in perisylvian cortices. Cereb. Cortex 12, 17–26 (2002).

    Article  Google Scholar 

  20. Cabeza, R. & Nyberg, L. Imaging cognition II: an empirical review of 275 PET and fMRI studies. J. Cogn. Neurosci. 12, 1–47 (2000).

    Article  CAS  Google Scholar 

  21. Ravid, D. & Tolchinsky, L. Developing linguistic literacy: a comprehensive model. J. Child Lang. 29, 417–447; discussion 453–417, 466–474 (2002).

    PubMed  Google Scholar 

  22. Burke, D.M. & Mackay, D.G. Memory, language and aging. Philos. Trans. R. Soc. Lond. B Biol. Sci. 352, 1845–1856 (1997).

    Article  CAS  Google Scholar 

  23. Peterson, B.S. et al. Preliminary findings of antistreptococcal antibody titers and basal ganglia volumes in tic, obsessive-compulsive and attention deficit/hyperactivity disorders. Arch. Gen. Psychiatry 57, 364–372 (2000).

    Article  CAS  Google Scholar 

  24. Peterson, B.S. et al. Regional brain and ventricular volumes in Tourette syndrome. Arch. Gen. Psychiatry 58, 427–440 (2001).

    Article  CAS  Google Scholar 

  25. Mazziotta, J. et al. A probabilistic atlas and reference system for the human bra+in: International Consortium for Brain Mapping (ICBM). Philos. Trans. R. Soc. Lond. B Biol. Sci. 356, 1293–1322 (2001).

    Article  CAS  Google Scholar 

  26. Woods, R.P., Mazziotta, J.C. & Cherry, S.R. MRI–PET registration with automated algorithm. J. Comput. Assist. Tomogr. 17, 536–546 (1993).

    Article  CAS  Google Scholar 

  27. MacDonald, D., Avis, D. & Evans, A. Multiple surface identification and matching in magnetic resonance images. Proc. Visualiz. Biomed. Comput. 2359, 160–169 (1994).

    Google Scholar 

  28. Sowell, E.R. et al. Regional brain shape abnormalities persist into adolescence after heavy prenatal alcohol exposure. Cereb. Cortex 12, 856–865 (2002).

    Article  Google Scholar 

  29. Duvernoy, H.M., Cabanis, E.A. & Vannson, J.L. The Human Brain: Surface, Three-dimensional Sectional Anatomy and MRI (Springer-Verlag, Wien; New York, 1991).

    Google Scholar 

  30. Ono, M., Kubik, S. & Abernathey, C.D. Atlas of the Cerebral Sulci (G. Thieme Verlag; Thieme Medical Publishers, Stuttgart; New York, 1990).

    Google Scholar 

  31. Thompson, P.M. et al. Dynamics of gray matter loss in Alzheimer's disease. J. Neurosci. (in press).

  32. Thompson, P.M. & Toga, A.W. A framework for computational anatomy. Computing and Visualization in Science 5, 1–12 (2002).

    Google Scholar 

  33. Thompson, P.M., Woods, R.P., Mega, M.S. & Toga, A.W. Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain. Hum. Brain Mapp. 9, 81–92 (2000).

    Article  CAS  Google Scholar 

  34. Thompson, P.M. et al. Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas. Cereb. Cortex 11, 1–16 (2001).

    Article  CAS  Google Scholar 

  35. Salmond, C. et al. Distributional assumptions in voxel-based morphometry. Neuroimage 17, 1027–1030 (2002).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This study was supported by the National Institute of Mental Health (MH01733 to E.R.S., MH01232 and MH59139 to B.S.P., 5T32 MH16381 to A.W.T.), the Suzanne Crosby Murphy Endowment at Columbia University (to B.S.P.), the National Science Foundation (DBI 9601356 to A.W.T.), the National Center for Research Resources (P41 RR13642 to A.W.T.) and the pediatric supplement of the Human Brain Project, funded jointly by the National Institute of Mental Health and the National Institute of Drug Abuse (P20 MH/DA52176 to A.W.T.).

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Correspondence to Elizabeth R. Sowell.

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Sowell, E., Peterson, B., Thompson, P. et al. Mapping cortical change across the human life span. Nat Neurosci 6, 309–315 (2003). https://doi.org/10.1038/nn1008

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