Neurological Sciences

, Volume 29, Supplement 3, pp 296–300 | Cite as

Aging

  • Samantha Galluzzi
  • Alberto Beltramello
  • Massimo Filippi
  • Giovanni B. Frisoni
Article

Abstract

The normal adult brain undergoes considerable morphological changes with aging. Studying these changes is paramount to differentiate normal age-related brain variations from the effects of neurodegenerative diseases affecting brain structure in the elderly. Considerable progress has been made in this research area during the past few decades, given the availability of noninvasive imaging tools such as magnetic resonance (MR). In recent years image acquisition devices, computer technology and software development have also advanced, allowing sophisticated methods for analyzing brain images, at both the macro-and microstructural level. In this article we will review studies assessing the effect of aging on global and regional gray and white matter volume using advanced MR techniques.

Keywords

Magnetic resonance Aging Gray matter White matter Advanced imaging 

References

  1. 1.
    Liu RS, Lemieux L, Bell GS et al (2003) A longitudinal study of brain morphometrics using quantitative magnetic resonance imaging and difference image analysis. Neuroimage 20:22–33PubMedCrossRefGoogle Scholar
  2. 2.
    Ge Y, Grossman RI, Babb JS et al (2002) Age-related total gray matter and white matter changes in normal adult brain. Part I: volumetric MR imaging analysis. AJNR Am J Neuroradiol 23:1327–1333PubMedGoogle Scholar
  3. 3.
    Fotenos AF, Snyder AZ, Girton LE et al (2005) Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD. Neurology 64:1032–1039PubMedGoogle Scholar
  4. 4.
    Jernigan TL, Archibald SL, Fennema-Notestine C et al (2001) Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiol Aging 22:581–594PubMedCrossRefGoogle Scholar
  5. 5.
    Scahill RI, Frost C, Jenkins R et al (2003) A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. Arch Neurol 60:989–994PubMedCrossRefGoogle Scholar
  6. 6.
    Riello R, Sabattoli F, Beltramello A et al (2005) Brain volumes in healthy adults aged 40 years and over: a voxel-based morphometry study. Aging Clin Exp Res 17:329–336PubMedGoogle Scholar
  7. 7.
    Good CD, Johnsrude IS, Ashburner J et al (2001) A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14:21–36PubMedCrossRefGoogle Scholar
  8. 8.
    Smith CD, Chebrolu H, Wekstein DR et al (2007) Age and gender effects on human brain anatomy: a voxel-based morphometric study in healthy elderly. Neurobiol Aging 28:1075–1087PubMedCrossRefGoogle Scholar
  9. 9.
    Sowell ER, Peterson BS, Thompson PM et al (2003) Mapping cortical change across the human life span. Nat Neurosci 6:309–315PubMedCrossRefGoogle Scholar
  10. 10.
    Wang L, Swank JS, Glick IE et al (2003) Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging. Neuroimage 20:667–682PubMedCrossRefGoogle Scholar
  11. 11.
    Ge Y, Grossman RI, Babb JS et al (2002) Age-related total gray matter and white matter changes in normal adult brain. Part II: quantitative magnetization transfer ratio histogram analysis. AJNR Am J Neuroradiol 23:1334–1341PubMedGoogle Scholar
  12. 12.
    Benedetti B, Charil A, Rovaris M et al (2006) Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI. Neurology 66:535–539PubMedCrossRefGoogle Scholar
  13. 13.
    Hofman PA, Kemerink GJ, Jolles J, Wilmink JT (1999) Quantitative analysis of magnetization transfer images of the brain: effect of closed head injury, age and sex on white matter. Magn Reson Med 42:803–806PubMedCrossRefGoogle Scholar
  14. 14.
    Abe O, Yamasue H, Aoki S et al (2008) Aging in the CNS: comparison of gray/white matter volume and diffusion tensor data. Neurobiol Aging 29:102–116PubMedCrossRefGoogle Scholar
  15. 15.
    Pagani E, Agosta F, Rocca MA et al (2008) Voxel-based analysis derived from fractional anisotropy images of white matter volume changes with aging. Neuroimage 41:657–667PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Italia 2008

Authors and Affiliations

  • Samantha Galluzzi
    • 1
  • Alberto Beltramello
    • 3
  • Massimo Filippi
    • 4
  • Giovanni B. Frisoni
    • 1
    • 2
  1. 1.LENITEM — Laboratory of Epidemiology, Neuroimaging and TelemedicineIRCCS Centro San Giovanni di Dio FatebenefratelliBresciaItaly
  2. 2.Psychogeriatric WardIRCCS Centro San Giovanni di Dio FatebenefratelliBresciaItaly
  3. 3.Neuroradiology ServiceOspedale MaggioreVeronaItaly
  4. 4.Neuroimaging Research Unit, Department of NeurologyScientific Institute and University, Ospedale San RaffaeleMilanItaly

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