Multispectral quantitative MR imaging of the human brain: Lifetime age-related effects

Radiographics

Volumn 33, Issue 5, 2013, Pages 1305-1319

  Watanabe, Memi ^a   Liao, Joseph H ^a   Jara, Hernán ^a   Sakai, Osamu ^a  

^a BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; AGING; ALGORITHM; ARTICLE; BRAIN; CHILD; COMPUTER ASSISTED DIAGNOSIS; FEMALE; GROWTH, DEVELOPMENT AND AGING; HUMAN; INFANT; MALE; METHODOLOGY; MIDDLE AGED; MULTIMODAL IMAGING; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY; PRESCHOOL CHILD; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VERY ELDERLY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; AGING; ALGORITHMS; BRAIN; CHILD; CHILD, PRESCHOOL; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT; INFANT, NEWBORN; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MULTIMODAL IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84884360264     PISSN: 02715333     EISSN: 15271323     Source Type: Journal    
DOI: 10.1148/rg.335125212     Document Type: Article

References (75)

1. Watanabe M, Sakai O, Ozonoff A, Kussman S, Jara H. Age-related apparent diffusion coeffcient changes in the normal brain. Radiology 2013;266 (2):575-582.
2. Mukherjee P, Miller JH, Shimony JS, et al. Normal brain maturation during childhood: developmental trends characterized with diffusion-tensor MR imaging. Radiology 2001;221(2):349-358.
3. Abe O, Yamasue H, Aoki S, et al. Aging in the CNS: comparison of gray/white matter volume and diffusion tensor data. Neurobiol Aging 2008;29(1): 102-116.
4. Snook L, Paulson LA, Roy D, Phillips L, Beaulieu C. Diffusion tensor imaging of neurodevelopment in children and young adults. Neuroimage 2005;26 (4):1164-1173.
5. Lebel C, Beaulieu C. Longitudinal development of human brain wiring continues from childhood into adulthood. J Neurosci 2011;31(30):10937-10947.
6. Sullivan EV, Pfefferbaum A. Diffusion tensor imaging and aging. Neurosci Biobehav Rev 2006;30 (6):749-761.
7. Sullivan EV, Rohlfng T, Pfefferbaum A. Quantitative fiber tracking of lateral and interhemispheric white matter systems in normal aging: relations to timed performance. Neurobiol Aging 2010;31 (3):464-481.
8. Song SK, Sun SW, Ramsbottom MJ, Chang C, Russell J, Cross AH. Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. Neuroimage 2002;17(3): 1429-1436.
9. Song SK, Sun SW, Ju WK, Lin SJ, Cross AH, Neufeld AH. Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. Neuroim-age 2003;20(3):1714-1722.
10. Lebel C, Walker L, Leemans A, Phillips L, Beaulieu C. Microstructural maturation of the human brain from childhood to adulthood. Neuroimage 2008; 40(3):1044-1055.
11. Forbes KP, Pipe JG, Bird CR. Changes in brain water diffusion during the 1st year of life. Radiology 2002;222(2):405-409.
12. Provenzale JM, Liang L, DeLong D, White LE. Diffusion tensor imaging assessment of brain white matter maturation during the first postnatal year. AJR Am J Roentgenol 2007;189(2):476-486.
13. Zhang L, Thomas KM, Davidson MC, Casey BJ, Heier LA, Uluǧ AM. MR quantitation of volume and diffusion changes in the developing brain. AJNR Am J Neuroradiol 2005;26(1):45-49.
14. Taki Y, Thyreau B, Hashizume H, et al. Linear and curvilinear correlations of brain white matter volume, fractional anisotropy, and mean diffusivity with age using voxel-based and region-of-interest analyses in 246 healthy children. Hum Brain Mapp 2012 Mar 22. [Epub ahead of print]
15. Muetzel RL, Collins PF, Mueller BA, Schissel AM, Lim KO, Luciana M. The development of corpus callosum microstructure and associations with bimanual task performance in healthy adolescents. Neuroimage 2008;39(4):1918-1925.
16. Hermoye L, Saint-Martin C, Cosnard G, et al. Pe-diatric diffusion tensor imaging: normal database and observation of the white matter maturation in early childhood. Neuroimage 2006;29(2):493-504.
17. Barnea-Goraly N, Menon V, Eckert M, et al. White matter development during childhood and adolescence: a cross-sectional diffusion tensor imaging study. Cereb Cortex 2005;15(12):1848-1854.
18. Schmithorst VJ, Wilke M, Dardzinski BJ, Holland SK. Correlation of white matter diffusivity and anisotropy with age during childhood and adolescence: a cross-sectional diffusion-tensor MR imaging study. Radiology 2002;222(1):212-218.
19. Qiu D, Tan LH, Zhou K, Khong PL. Diffusion tensor imaging of normal white matter maturation from late childhood to young adulthood: voxel-wise evaluation of mean diffusivity, fractional anisotropy, radial and axial diffusivities, and correlation with reading development. Neuroimage 2008;41(2):223-232.
20. Miller JH, McKinstry RC, Philip JV, Mukherjee P, Neil JJ. Diffusion-tensor MR imaging of normal brain maturation: a guide to structural development and myelination. AJR Am J Roentgenol 2003; 180(3):851-859.
21. Brody BA, Kinney HC, Kloman AS, Gilles FH. Sequence of central nervous system myelination in human infancy. I. An autopsy study of myelination. J Neuropathol Exp Neurol 1987;46(3):283-301.
22. Rademacher J, Engelbrecht V, Bürgel U, Freund H, Zilles K. Measuring in vivo myelination of human white matter fiber tracts with magnetization transfer MR. Neuroimage 1999;9(4):393-406.
23. Thompson PM, Giedd JN, Woods RP, MacDonald D, Evans AC, Toga AW. Growth patterns in the developing brain detected by using continuum mechanical tensor maps. Nature 2000;404(6774): 190-193.
24. Ding XQ, Sun Y, Braass H, et al. Evidence of rapid ongoing brain development beyond 2 years of age detected by fiber tracking. AJNR Am J Neuroradiol 2008;29(7):1261-1265.
25. Càmara E, Bodammer N, Rodríguez-Fornells A, Tempelmann C. Age-related water diffusion changes in human brain: a voxel-based approach. Neuroimage 2007;34(4):1588-1599.
26. Abe O, Aoki S, Hayashi N, et al. Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis. Neurobiol Aging 2002;23 (3):433-441.
27. Sullivan EV, Adalsteinsson E, Hedehus M, et al. Equivalent disruption of regional white matter microstructure in ageing healthy men and women. Neuroreport 2001;12(1):99-104.
28. Ota M, Obata T, Akine Y, et al. Age-related degeneration of corpus callosum measured with diffusion tensor imaging. Neuroimage 2006;31(4):1445-1452.
29. Pfefferbaum A, Adalsteinsson E, Sullivan EV. Frontal circuitry degradation marks healthy adult aging: evidence from diffusion tensor imaging. Neuroim-age 2005;26(3):891-899.
30. Meier-Ruge W, Ulrich J, Brühlmann M, Meier E. Age-related white matter atrophy in the human brain. Ann N Y Acad Sci 1992;673:260-269.
31. Marner L, Nyengaard JR, Tang Y, Pakkenberg B. Marked loss of myelinated nerve fibers in the human brain with age. J Comp Neurol 2003;462(2): 144-152.
32. Bartzokis G. Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer's disease. Neurobiol Aging 2004;25(1):5-18; author reply 49-62.
33. Sullivan EV, Adalsteinsson E, Pfefferbaum A. Selective age-related degradation of anterior callosal fiber bundles quantifed in vivo with fiber tracking. Cereb Cortex 2006;16(7):1030-1039.
34. Wang Q, Xu X, Zhang M. Normal aging in the basal ganglia evaluated by eigenvalues of diffusion tensor imaging. AJNR Am J Neuroradiol 2010;31 (3):516-520.
35. Pfefferbaum A, Adalsteinsson E, Rohlfng T, Sullivan EV. Diffusion tensor imaging of deep gray matter brain structures: effects of age and iron concentration. Neurobiol Aging 2010;31(3):482-493.
36. Charlton RA, Barrick TR, Lawes IN, Markus HS, Morris RG. White matter pathways associated with working memory in normal aging. Cortex 2010;46 (4):474-489.
37. Ding XQ, Kucinski T, Wittkugel O, et al. Normal brain maturation characterized with age-related T2 relaxation times: an attempt to develop a quantitative imaging measure for clinical use. Invest Radiol 2004;39(12):740-746.
38. Rovaris M, Iannucci G, Cercignani M, et al. Age-related changes in conventional, magnetization transfer, and diffusion-tensor MR imaging fndings: study with whole-brain tissue histogram analysis. Radiology 2003;227(3):731-738.
39. Engelbrecht V, Rassek M, Preiss S, Wald C, Mödder U. Age-dependent changes in magnetization transfer contrast of white matter in the pediatric brain. AJNR Am J Neuroradiol 1998;19(10):1923-1929.
40. Saito N, Sakai O, Ozonoff A, Jara H. Relaxo-volumetric multispectral quantitative magnetic resonance imaging of the brain over the human lifespan: global and regional aging patterns. Magn Reson Imaging 2009;27(7):895-906.
41. Cho S, Jones D, Reddick WE, Ogg RJ, Steen RG. Establishing norms for age-related changes in proton T1 of human brain tissue in vivo. Magn Reson Imaging 1997;15(10):1133-1143.
42. Agartz I, Sääf J, Wahlund LO, Wetterberg L. T1 and T2 relaxation time estimates in the normal human brain. Radiology 1991;181(2):537-543.
43. Steen RG, Schroeder J. Age-related changes in the pediatric brain: proton T1 in healthy children and in children with sickle cell disease. Magn Reson Imaging 2003;21(1):9-15.
44. Breger RK, Yetkin FZ, Fischer ME, Papke RA, Haughton VM, Rimm AA. T1 and T2 in the cerebrum: correlation with age, gender, and demographic factors. Radiology 1991;181(2):545-547.
45. Ge Y, Grossman RI, Babb JS, Rabin ML, Mannon LJ, Kolson DL. Age-related total gray matter and white matter changes in normal adult brain. II. Quantitative magnetization transfer ratio histogram analysis. AJNR Am J Neuroradiol 2002;23(8):1334-1341.
46. Benedetti B, Charil A, Rovaris M, et al. Infuence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI. Neurology 2006;66(4):535-539.
47. Silver NC, Barker GJ, MacManus DG, Tofts PS, Miller DH. Magnetisation transfer ratio of normal brain white matter: a normative database spanning four decades of life. J Neurol Neurosurg Psychiatry 1997;62(3):223-228.
48. Mehta RC, Pike GB, Enzmann DR. Magnetization transfer MR of the normal adult brain. AJNR Am J Neuroradiol 1995;16(10):2085-2091.
49. Armstrong CL, Traipe E, Hunter JV, et al. Age-related, regional, hemispheric, and medial-lateral differences in myelin integrity in vivo in the normal adult brain. AJNR Am J Neuroradiol 2004;25(6):977-984.
50. Biagi L, Abbruzzese A, Bianchi MC, Alsop DC, Del Guerra A, Tosetti M. Age dependence of cerebral perfusion assessed by magnetic resonance continuous arterial spin labeling. J Magn Reson Imaging 2007;25(4):696-702.
51. Wang J, Licht DJ, Jahng GH, et al. Pediatric perfu-sion imaging using pulsed arterial spin labeling. J Magn Reson Imaging 2003;18(4):404-413.
52. Taki Y, Hashizume H, Sassa Y, et al. Correlation between gray matter density-adjusted brain perfusion and age using brain MR images of 202 healthy children. Hum Brain Mapp 2011;32(11):1973-1985.
53. Parkes LM, Rashid W, Chard DT, Tofts PS. Normal cerebral perfusion measurements using arterial spin labeling: reproducibility, stability, and age and gender effects. Magn Reson Med 2004;51(4):736-743.
54. Jansen JF, Backes WH, Nicolay K, Kooi ME. 1H MR spectroscopy of the brain: absolute quantifcation of metabolites. Radiology 2006;240(2):318-332.
55. Pfefferbaum A, Adalsteinsson E, Spielman D, Sullivan EV, Lim KO. In vivo spectroscopic quantif-cation of the N-acetyl moiety, creatine, and choline from large volumes of brain gray and white matter: effects of normal aging. Magn Reson Med 1999;41 (2):276-284.
56. Kadota T, Horinouchi T, Kuroda C. Development and aging of the cerebrum: assessment with proton MR spectroscopy. AJNR Am J Neuroradiol 2001; 22(1):128-135.
57. Horská A, Kaufmann WE, Brant LJ, Naidu S, Harris JC, Barker PB. In vivo quantitative proton MRSI study of brain development from childhood to adolescence. J Magn Reson Imaging 2002;15(2): 137-143.
58. Bozgeyik Z, Burakgazi G, Sen Y, Oǧur E. Age-related metabolic changes in the corpus callosum: assessment with MR spectroscopy. Diagn Interv Radiol 2008;14(4):173-176.
59. Pouwels PJ, Brockmann K, Kruse B, et al. Regional age dependence of human brain metabolites from infancy to adulthood as detected by quantitative localized proton MRS. Pediatr Res 1999;46(4): 474-485.
60. Kreis R, Hofmann L, Kuhlmann B, Boesch C, Bossi E, Hüppi PS. Brain metabolite composition during early human brain development as measured by quantitative in vivo 1H magnetic resonance spectroscopy. Magn Reson Med 2002;48(6): 949-958.
61. Angelie E, Bonmartin A, Boudraa A, Gonnaud PM, Mallet JJ, Sappey-Marinier D. Regional differences and metabolic changes in normal aging of the human brain: proton MR spectroscopic imaging study. AJNR Am J Neuroradiol 2001;22(1):119-127.
62. Takahashi R, Ishii K, Kakigi T, Yokoyama K. Gender and age differences in normal adult human brain: voxel-based morphometric study. Hum Brain Mapp 2011;32(7):1050-1058.
63. Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 2001;14(1 pt 1):21-36.
64. Brain Development Cooperative Group. Total and regional brain volumes in a population-based normative sample from 4 to 18 years: the NIH MRI Study of Normal Brain Development. Cereb Cortex 2012;22(1):1-12.
65. Courchesne E, Chisum HJ, Townsend J, et al. Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology 2000;216(3):672-682.
66. Kruggel F. MRI-based volumetry of head compartments: normative values of healthy adults. Neuro-image 2006;30(1):1-11.
67. Taki Y, Thyreau B, Kinomura S, et al. Correlations among brain gray matter volumes, age, gender, and hemisphere in healthy individuals. PLoS ONE 2011;6(7):e22734.
68. Blatter DD, Bigler ED, Gale SD, et al. Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life. AJNR Am J Neuroradiol 1995;16(2):241-251.
69. Sigurdsson S, Aspelund T, Forsberg L, et al. Brain tissue volumes in the general population of the elderly: the AGES-Reykjavik study. Neuroimage 2012;59(4):3862-3870.
70. Abe O, Yamasue H, Yamada H, et al. Sex dimorphism in gray/white matter volume and diffusion tensor during normal aging. NMR Biomed 2010; 23(5):446-458.
71. Faria AV, Zhang J, Oishi K, et al. Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection. Neuroimage 2010;52(2):415-428.
72. Lenroot RK, Gogtay N, Greenstein DK, et al. Sexual dimorphism of brain developmental trajectories during childhood and adolescence. Neuroimage 2007;36(4):1065-1073.
73. Giedd JN, Rapoport JL. Structural MRI of pediat-ric brain development: what have we learned and where are we going? Neuron 2010;67(5):728-734.
74. Sasaki M, Yamada K, Watanabe Y, et al. Variability in absolute apparent diffusion coeffcient values across different platforms may be substantial: a multivendor, multi-institutional comparison study. Radiology 2008;249(2):624-630.
75. Peelle JE, Cusack R, Henson RN. Adjusting for global effects in voxel-based morphometry: gray matter decline in normal aging. Neuroimage 2012; 60(2):1503-1516.