Image processing: Global and regional changes with age

Topics in Magnetic Resonance Imaging

Volumn 15, Issue 6, 2004, Pages 349-353

  Killiany, Ronald J ^a,b   Meier, Dominick S ^b   Guttmann, Charles R G ^b  

^a BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Aging; Cognition; Magnetic resonance imaging; Post processing

Indexed keywords

AGING; COGNITION; DEMENTIA; HUMAN; IMAGE PROCESSING; LONGITUDINAL STUDY; NEUROANATOMY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; REVIEW; TECHNIQUE; TISSUE; TISSUE VOLUME; VOLUMETRY;

AGING; BRAIN; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING;

EID: 23244448583     PISSN: 08993459     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.rmr.0000175131.63152.53     Document Type: Review

References (85)

1. Warfield S, Dengler J, Zaers J, et al. Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions. J Image Guid Surg. 1995;1:326-338.
2. Warfield SK, Kaus M, Jolesz FA, et al. Adaptive, template moderated, spatially varying statistical classification. Med Image Anal. 2000;4:43-55.
3. Wei X, Warfield SK, Zou KH, et al. Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy. J Magn Reson Imaging. 2002;15:203-209.
4. Fischl B, Salat DH, Busa E, et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002;33:341-355.
5. Fischl B, van der Kouwe A, Destrieux C, et al. Automatically parcellating the human cerebral cortex. Cereb Cortex. 2004;14:11-22.
6. Ashburner J, Friston KJ. Voxel-based morphometry - the methods. Neuroimage. 2000;11:805-821.
7. Ashburner J, Friston KJ. Why voxel-based morphometry should be used. Neuroimage. 2001;14:1238-1243.
8. Christiansen P, Larsson HB, Thomsen C, et al. Age dependent white matter lesions and brain volume changes in healthy volunteers. Acta Radial. 1994;35:117-122.
9. 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.
10. Harris GJ, Schlaepfer TE, Peng LW, et al. Magnetic resonance imaging evaluation of the effects of ageing on grey-white ratio in the human brain. Neuropathol Appl Neurobiol 1994;20:290-293.
11. Jernigan TL, Press GA, Hesselink JR. Methods for measuring brain morphologic features on magnetic resonance images. Arch Neurol. 1990;47:27-32.
12. Jernigan TL, Archibald S, Berhow M, et al. Cerebral structure on MRI. I. Localization of age-related changes. Biol Psychiatry. 1991;29:55-67.
13. Lim KO, Zipursky RB, Watts MC, et al. Decreased gray matter in normal aging: an in vivo magnetic resonance study. J Gerontol. 1992;47:B26-B30.
14. Murphy D, DeCarli C, Daly E, et al. Volumetric magnetic resonance imaging in men with dementia of the Alzheimer type: correlations with disease severity. Biol Psychiatry. 1993;34:612-621.
15. Matsumae M, Kikinis R, Morocz JA, et al. Age-related changes in intracranial compartment volumes in normal adults assessed by magnetic resonance imaging. J Neurosurg. 1996;84:982-991.
16. Pfefferbaum A, Mathalon DH, Sullivan EV, et al. A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch Neurol. 1994;51:874-887.
17. 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 Alzheimerís dementia. Radiology. 1991;178:123-130.
18. Sullivan EV, Marsh L, Mathalon DH, et al. Age-related decline in MRI volumes of temporal lobe gray matter but not hippocampus. Neurobiol Aging. 1995;16:591-606.
19. Double K. Halliday G, Kril J, et al. Topography of brain atrophy during normal aging and Alzheimer's disease. Neurobiol Aging. 1996;17:513-521.
20. Yue N, Arnold A, Longstreth W, et al. Sulcal, ventricular, and white matter changes at MR imaging in the aging brain: data from the Cardiovascular Health Study. Radiology. 1997;202:33-39.
21. Guttmann CRG, Jolesz FA, Kikinis R, et al. White matter changes with normal aging. Neurology. 1998;50:972-978.
22. Resnick SM, Goldszal AF, Davatzikos C, et al. One-year age changes in MRJ brain volumes in older adults. Cereb Cortex. 2000;10:464-472.
23. Resnick SM, Pham DL, Kraut MA, et al. Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain. J Neurosci. 2003;23:3295-3301.
24. Tang Y, Whitman GT, Lopez I, et al. Brain volume changes on longitudinal magnetic resonance imaging in normal older people. J Neuroimaging. 2001;11:393-400.
25. Scahill RI, Frost C, Jenkins R, et al. A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. Arch Neurol. 2003;60:989-994.
26. 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.
27. Leuba B, Garey L. Comparison of neuronal and glial numerical density in primary and secondary visual cortex. Exp Brain Res. 1989;77:31-38.
28. Terry RD, DeTeresa R, Hansen LA. Neocortical cell counts in normal human adult aging. Ann Neurol. 1987;21:530-539.
29. Brody H. Organization of cerebral cortex. III. A study of aging in the human cerebral cortex. J Comp Neurol. 1955;102:511-556.
30. Brody H. Structural changes in the aging nervous system. Interdiscipl Top Gerontol. 1970;7:9-21.
31. Colon EJ. The elderly brain. A quantitative analysis of the cerebral cortex in two cases. Psych Neurol Neurochir. 1972;75:261-270.
32. Shefer V Absolute number of neurons and thickness of cerebral cortex during aging, senile and vascular dementia and Pick's and Alzheimer's disease. Neurosci Behav Physiol. 1973;6:319-324.
33. Henderson G, Tomlinson B, Gibson P. Cell counts in human cerebral cortex in normal adults throughout life, using an image analysing computer. J Neurol Sci. 1980;46:113-136.
34. Anderson JM, Hubbard BM, Coghill GR, et al. 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.
35. DeCarli C, Murphy DGM, Trahn M, et al. The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults. Neurology. 1995;45:2077-2084.
36. Atwood LD, Wolf PA, Heard-Costa NL, et al. Genetic variation in white matter hyperintensity volume in the Framingham Study. Stroke. 2004;35:1609-1613.
37. Carmelli D, DeCarli C, Swan GE, et al. Evidence for genetic variance in white matter hyperintensity volume in normal elderly male twins. Stroke. 1998;29:1177-1181.
38. DeCarli C, Massaro J, Harvey D, et al. Measures of brain morphology and infarction in the Framingham heart study: establishing what is normal. Neurobiol Aging. 2005;26:491-510.
39. Meier DS, Fisher E. Atlas-based anatomical labeling in neurodegenerative disease via structure-driven atlas warping. J Neuroimaging. 2005;15:16-26.
40. Squire L, Zola-Morgan S, Chen K. Human amnesia and animal models of amnesia: performance of amnesic patients on tests designed for the monkey. Behav Neurosci. 1988;11:210-221.
41. Poon LW. Differences in human memory with aging. In: Dirren JE and Schaie KW, eds. Handbook of the Psychology of Aging. New York: Van Nostrand Reinhold; 1985:427-462.
42. Light L. Memory and aging: four hypotheses in search of data. Annu Rev Psychol. 1991;42:333-376.
43. Powell DH. Profiles in Cognitive Aging. Massachusetts:Harvard University Press; 1994.
44. Albert MS. Neuropsychological and neurophysiological changes in healthy adult humans across the age range. Neurobiol Aging. 1993;14:623-625.
45. Davis HP, Berntein PA. Age-related in explicit and implicit memory. In: Squire L and Butters N, eds. Neuropsychology of Memory. New York: Guilford Press; 1992.
46. Schonfield D, Robertson BA. Memory storage and aging. Can J Psych. 1966;20:228-236.
47. Harwood E, Naylor GFK. Recall and recognition in elderly and young subjects. Austr J Psych. 1969;21:251-257.
48. Howell SC. Familiarity and complexity in perceptual recognition. J Gerontol. 1972;27:364-371.
49. Erber JT. Age differences in recognition memory. J Gerontol. 1974;29:177-181.
50. Rabinowitz J. Priming in episodic memory. J Gerontol. 1986;41:204-213.
51. Talland GA. Age and the immediate memory span. Gerontologist. 1967;7:4-9.
52. Schonfield D. Age and Remembering. Proc Sem Durham, NC: Duke University Council on Aging and Human Development; 1969.
53. Park D, Royal D, Dudley W, et al. Forgetting of pictures over a long retention interval in old and young adults. Psychol Aging. 1988;3:94-95.
54. Stuss DT. Interference effects on memory function in posteukotomy patients: An attentional perspective. In: Levin HS, Eisenberg HM, Benton AL, eds. Frontal Lobe Function and Dysfunction. Oxford: Oxford University Press; 1991:157-172.
55. Shimamura AP, Janowsky JS, Squire LR. What is the role of frontal lobe damage in memory disorders? In: Levin HS, Eisenberg HM, Benton AL, eds. Frontal Lobe Function and Dysfunction. Oxford: Oxford University Press; 1991:173-198.
56. Lees AJ, Smith E. Cognitive deficits in the early stages of Parkinson's disease. Brain. 1983;106:257-270.
57. Cools AR, Van Den Bercken JHL, Horstink MWI, et al. Cognitive and motor shifting aptitude disorder in Parkinson's disease. J Neurol Neurosurg Psychiatry. 1984;4:443-453.
58. Baddeley A. Working Memory. Oxford: Oxford University Press; 1986.
59. Albert MS, Duffy FH, Naeser M. Non-linear changes in cognition with age and their neurophysiological correlated. Can J Psych. 1987;41:141-157.
60. Lezak M. Neuropsychological Assessment. 2nd ed. New York: Oxford University Press; 1983.
61. Albert MS, Wolfe J, Lafleche G. Differences in abstraction ability with age. Psychol Aging. 1990;5:94-100.
62. Broadbent DE, Gregory M. Some confirmatory results on age differences in memory for simultaneous stimulation. Br J Psychol. 1965;56:77-80.
63. Brinley J, Fichter J. Performance deficits in the elderly in relation to memory load and set. Gerontology. 1970;25:30-35.
64. Craik FIM. Age differences in recognition memory. Q J Exp Psychol. 1971;23:316-323.
65. Craik FIM, Simon E. Age differences in memory: the role of attention and depth of processing. In: Poon LW, Fozard JL, Cermak LS, Thompson LW, eds. New Directions in Memory and Aging. New Jersey:Erlbaum; 1980.
66. Bromley D. Effects of age on intellectual output. J Gerontol. 1957;12:318-323.
67. Mack JL, Carlson NJ. Conceptual deficits and aging: the category test. Percept Mot Skills. 1978;46:123-128.
68. Hess TM, Slaughter SL. Aging effects on prototype abstraction and concept identification. J Gerontol. 1986;41:214-221.
69. Raz N. Aging of the brain and its impact on cognitive performance: integration of structural and functional findings. In: Craik FIM and Salthouse TA, eds. Handbook of Aging and Cognition. Mahwah, NJ: Erlbaum; 2000.
70. Jack CR, Twomey CK, March WR, et al. Anterior temporal lobes and hippocampal formations: Normative volumetric measurements from MR images in young adults. Radiology. 1989;172:549-554.
71. Zipursky RB, Marsh L, Lim KE, et al. Volumetric MRI assessment of temporal lobe structures in schizophrenia. Biol Psychiatry. 1994;35:501-516.
72. Amaral D. Morphological analyses of the brains of behaviorally characterized aged nonhuman primates. Neurobiol Aging. 1993;14:671-672.
73. Rosene D. Comparing age-related changes in the basal forebrain and hippocampus of the rhesus monkey. Neurobiol Aging. 1993;14:669-670.
74. West M, Coleman P, Flood D, et al. Differences in the pattern of hippocampal neuronal loss in normal aging and Alzheimer's disease. Lancet. 1994;344:769-772.
75. Gomez-Isla T, Price JL, McKeel DW Jr, et al. Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer's disease. J Neurosci. 1996;16:4491-4500.
76. Rapp PR, Gallagher M. Preserved neuron number in the hippocampus of aged rats with spatial learning deficits. Proc Natl Acad Sci USA. 1996;93:9926-9930.
77. Morrison JH, Hof RP. Life and death of neurons in the aging brain. Science. 1997;278:412-419.
78. Cowell PE, Turetsky BI, Gur RC, et al. Sex differences in aging of the human frontal and temporal lobes. J Neurosci. 1994;14:4748-4755.
79. Raz N, Gunning FM, Head D, et al. Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter. Cereb Cortex. 1997;7:268-282.
80. Peters A, Leahu D, Moss MB. et al. The effects of aging on area 46 of the frontal cortex of the aging monkey. Cereb Cortex. 1994;6:621-635.
81. Peters A. Age-related changes in oligodendrocytes in monkey cerebral cortex. J Comp Neurol. 1996;371:153-163.
82. Liu X, Erikson C, Bran A. Cortical synaptic changes and gliosis in normal aging, Alzheimer's disease and frontal lobe degeneration. Dementia. 1996;3:128-134.
83. Peters A, Nigro NJ, McNally KJ. A further evaluation of the effect of age on striate cortex of the rhesus monkey. Neurobiol Aging. 1997;18:29-36.
84. Brabec J, Kraseny J, Petrovicky P Volumetry of striatum and pallidum in man-anatomy, cytoarchitecture, connections, MRI and aging. Sb Lek. 2003;104:13-65.
85. Sullivan RV, Rosenbloom M, Serventi KL, et al. Effects of age and sex on volumes of the thalamus, pons, and cortex. Neurobiol Aging. 2004;25:185-192.