White matter changes with normal aging

Neurology

Volumn 50, Issue 4, 1998, Pages 972-978

  Guttmann, C R G ^a   Jolesz, F A ^a   Kikinis, R ^a   Killiany, R J ^c   Moss, M B ^c   Sandor, T ^a   Albert, M S ^b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AGING; ARTICLE; BRAIN TISSUE; CEREBROSPINAL FLUID; CONTROLLED STUDY; FEMALE; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; WHITE MATTER;

EID: 0031948556     PISSN: 00283878     EISSN: None     Source Type: Journal    
DOI: 10.1212/WNL.50.4.972     Document Type: Article

References (44)

1. Jernigan TL, Press GA, Hesselink JR. Methods for measuring brain morphologic features on magnetic resonance images. Arch Neurol 1990;47:27-32.
2. Jernigan T, Archibald S, Berhow M, Sowell E, Foster D, Hesselink J. Cerebral structure on MRI. I. Localization of age-related changes. Biol Psychiatr 1991;29:55-67.
3. Pfefferbaum A, Mathalon DH, Sullivan EV, Rawles JM, Zipursky RB, Lim KO. A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch Neurol 1994;51:874-887.
4. Lim KO, Zipursky RB, Watts MC, Pfefferbaum A. Decreased gray matter in normal aging: an in vivo magnetic resonance study. J Gerontol 1992;47:B26-30.
5. Murphy DG, DeCarli C, Schapiro MB, Rapoport SI, Horwitz B. Age-related differences in volume of subcortical nuclei, brain matter, and cerebrospinal fluid in healthy men as measured with magnetic resonance imaging. Arch Neurol 1992;49: 839-845.
6. Coffey CE, Wilkinson WE, Parashos IA, et al. Quantitative cerebral anatomy of the aging human brain: a cross-sectional study using magnetic resonance imaging. Neurology 1992;42: 527-536.
7. Christiansen P, Larsson HB, Thomsen C, Wieslander SB, Henriksen O. Age dependent white matter lesions and brain volume changes in healthy volunteers. Acta Radiol 1994;35: 117-122.
8. Harris GJ, Schlaepfer TE, Peng LW, Lee S, Federman EB, Pearlson GD. Magnetic resonance imaging evaluation of the effects of ageing on grey-white ratio in the human brain. Neuropath Appl Neurobiol 1994;20:290-293.
9. Matsumae M, Kikinis R, Morocz LA, et al. Age-related changes in intracranial compartment volumes in normal adults assessed by magnetic resonance imaging. J Neurosurg 1996;84: 982-991.
10. Tanna NK, Kohn MI, Horwich DN, et al. Analysis of brain and cerebrospinal fluid volumes with MR imaging: impact on PET data correction for Atrophy. Part II. Aging and Alzheimer dementia. Radiology 1991;178:123-130.
11. Wickelgren I. For the cortex, neuron loss may be less than thought. Science 1996;273:48-50. News.
12. Kikinis R, Shenton M, Gerig G, et al. Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging. J Magn Reson Imag 1992;2:619-629.
13. Cline H, Lorensen W, Kikinis R, Jolesz F. Three-dimensional segmentation of MR images of the head using probability and connectivity. J Comp Assist Tomogr 1990;14:1037-1045.
14. Wells WM III, Grimson WEL, Kikinis R, Jolesz FA. Adaptive segmentation of MRI data. IEEE Trans Med Imag 1996;15: 429-442.
15. Guttmann CRG, Weiner HL, Kikinis R, et al. A prospective study of multiple sclerosis: correlation between MRI, clinical and immunological findings. Proc Soc Magn Res 1995;2:1292.
16. Guttmann CRG, Kikinis R, Anderson MC, et al. Quantitative follow-up of patients with multiple sclerosis using MRI: reproducibility. JMRI 1998 (in press).
17. Kikinis R, Guttmann CRG, Metcalf D, et al. Quantitative follow-up of patients with multiple sclerosis using MRI: technical aspects. JMRI 1998 (in press).
18. Haug H. Macroscopic and microscopic morphometry of the human brain and cortex. A survey in the light of new results. Brain Pathol 1984;1:123-149.
19. Leuba G, Garey L. Comparison of neuronal and glial numerical density in primary and secondary visual cortex. Exp Brain Res 1989;77:31-38.
20. Pakkenberg B, Gundersen H. Neocortical neuron number in humans: effect of sex and age. J Comp Neurol 1997;384:312-320.
21. Miller A, Alston R, Corsellis J. Variations in age in the volumes of grey and white matter in the cerebral hemisphere of man: measurements with an image analyzer. Neuropath Appl Neurobiol 1980;6:119-132.
22. Brody, H. Organization of cerebral cortex. III. A study of aging in the human cerebral cortex. J Comp Neurol 1955;102:511-556.
23. Brody, H. Structural changes in the aging nervous system. Interdiscipl Top Gerontol 1970;7:9-21.
24. Colon EJ. The elderly brain. A quantitative analysis of the cerebral cortex in two cases. Psych Neurol Neurochir 1972;75: 261-270.
25. Shefer V, Absolute number of neurons and thickness of the cerebral cortex during aging, senile and vascular dementia, and Pick's and Alzheimer's diseases. Neurosci Behav Physiol 1973;6:319-324.
26. Henderson G, Tomlinson B, Gibson P. Cell counts in human cerebral cortex in normal aduls throughout life, using an image analysing computer. J Neurol Sci 1980;46:113-136.
27. Anderson JM, Hubbard BM, Coghill GR, Slidders W. The effect of advanced old age on the neurone content of the cerebral cortex. Observations with an automatic image analyser point counting method. J Neurol Sci 1983;58:233-244.
28. Vincent S, Peters A, Tigges J. Effects of aging on neurons within area 17 of rhesus monkey cerebral cortex. Anat Rec 1989;223:329-341.
29. Tigges J, Herndon J, Peters A. Neuronal population of area 4 during life span of rhesus monkeys. Neurobiol Aging 1992;11: 201-208.
30. Amaral D. Morphological analyses of the brains of behaviorally characterized aged nonhuman primates. Neurobiol Aging 1993;14:671-672.
31. Peters A, Leahu D, Moss M, McNally K. The effects of aging on area 46 of the frontal cortex of the rhesus monkey. Cerebr Cortex 1994;6:621-635.
32. Rosene D. Comparing age-related changes in the basal forebrain and hippocampus of the rhesus monkey. Neurobiol Aging 1993;14:669-670.
33. West M, Coleman P, Flood D, Troncoso J. Differences in the pattern of hippocampal neuronal loss in normal aging and Alzheimer's disease. Lancet 1994;344:769-772.
34. Rosene D, Lai Z, Killiany R, et al. Age-related loss of white matter with preservation of gray matter in the forebrain of the rhesus monkey: an MRI study. Neurobiol Aging 1988 (in press).
35. Kemper T. The relationship of cerebral cortical changes to nuclei in the brainstem. Neurobiol Aging 1993;14:659-660.
36. Kemper T, Moss M, Rosene D, Killiany R. Age-related neuronal loss in the nucleus centralis superior of the rhesus monkey. Acta Neuropathol 1988 (in press).
37. McGeer P, McGeer E, Suzuki J. Aging and extrapyramidal function. Arch Neurol 1977;34:33-35.
38. Severson J, Marcusson J, Winblad B, Finch C. Age-correlated loss of dopaminergic binding sites in human basal ganglia. J Neurochem 1982;39:1623-1631.
39. Peters A, Rosene D, Moss M, et al. Neurobiological bases of age-related cognitive decline in the rhesus monkey. J Neuropath Exp Neurol 1996;8:861-874.
40. Kemper T. Neuroanatomical changes associated with aging in the central nervous system. In: Albert ML, Knoefel J, eds. Clinical neurology of aging. New York: Oxford University Press, 1994:3-67.
41. Barnes C, Suster M, Shen J, McNaughton B. Multistability of cognitive maps in the hippocampus of old rats. Nature 1997; 388:272-275.
42. Stafford J, Albert M, Naeser M, Sandor T, Garvey A. Age related differences in CT scan measurements. Arch Neurol 1988;45:409-419.
43. Warfield S, Dengler J, Zaers J, et al. Automatic identification of grey matter structures from MRI to improve the segmentation of white matter lesions. J Image Guided Surg 1996;1: 326-338.
44. Zijdenbos A, Evans A, Riahi F, Sled J, Chui H-C, Kollokian V. Automatic quantification of multiple sclerosis lesion volume using stereotactic space. Presented at the Proceedings of the Fourth International Conference on Visualization in Biomedical Computing (VBC), Hamburg, Germany, 1996.