title: Quantitative diffusion tensor fiber tracking of age-related changes in the limbic system.
abstract: Cerebral white matter is known to undergo degradation with aging, and diffusion tensor imaging (DTI) is capable of revealing the white matter integrity. We assessed age-related changes of quantitative diffusivity parameters and fiber characteristics within the fornix and the cingulum. Thirty-eight healthy subjects aged 18-88 years were examined at 3 Tesla using a 1.9-mm isotropic DTI sequence. Quantitative fiber tracking was performed for 3D-segmentation of the fornix and the cingulum to determine fractional anisotropy (FA), mean diffusivity (MD), eigenvalues (lambda1, lambda2, and lambda3), number of fibers (NoF), and mean NoF/voxel (FpV). In the fornix, all diffusivity parameters (FA, MD, and eigenvalues) were moderately correlated with age. Strong and moderate negative correlations for NoF and FpV were found, respectively. In the cingulum, no correlation was observed between FA and age, and only weak correlations for the other quantitative parameters. Differences in correlations between the fornix and the cingulum were significant for all diffusivity parameters and for NoF, but not for FpV. The strongest relative changes per decade of age were found in the fornix: FA -2.1%, MD 4.2%, NoF -10.6%, and FpV -4.6%. Our quantitative 3D fiber tracking approach shows that the cingulum is resistant to aging while the fornix is not.
authors: Department of Radiology, Landesklinikum St. Poelten, Propst-Fuehrer Strasse 4, 3100 St. Poelten, Austria.
authors: Andreas
authors: A
authors: Stadlbauer
authors: Erich
authors: E
authors: Salomonowitz
authors: Guido
authors: G
authors: Strunk
authors: Thilo
authors: T
authors: Hammen
authors: Oliver
authors: O
authors: Ganslandt
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000473:pathology*; D016880:Anisotropy; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008032:Limbic System / Q000473:pathology*; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D009412:Nerve Fibers / Q000473:pathology*; D018709:Statistics, Nonparametric
references: Neuroimage. 2001 Sep;14(3):723-35
references: 11506544
references: Eur Radiol. 2006 Apr;16(4):898-904
references: 16331463
references: AJNR Am J Neuroradiol. 2005 Oct;26(9):2183-6
references: 16219820
references: NMR Biomed. 2002 Nov-Dec;15(7-8):553-60
references: 12489101
references: Neurobiol Aging. 2002 May-Jun;23(3):433-41
references: 11959406
references: Eur Radiol. 2006 Jan;16(1):187-92
references: 15997366
references: Radiology. 2003 Jun;227(3):617-22
references: 12773666
references: Neuroimage. 2004 Mar;21(3):1174-81
references: 15006684
references: Radiology. 2003 Dec;229(3):673-81
references: 14657305
references: Radiology. 2004 Jan;230(1):77-87
references: 14645885
references: Magn Reson Med. 2002 Jun;47(6):1202-10
references: 12111967
references: Neuroimage. 2000 Aug;12(2):184-95
references: 10913324
references: NMR Biomed. 2002 Nov-Dec;15(7-8):468-80
references: 12489096
references: NMR Biomed. 2003 Aug;16(5):257-60
references: 14648885
references: Cereb Cortex. 2006 Jul;16(7):1030-9
references: 16207932
references: J Magn Reson Imaging. 2004 Aug;20(2):216-27
references: 15269946
references: Neuroimage. 2002 Oct;17(2):657-69
references: 12377141
references: Neurobiol Aging. 2000 Jul-Aug;21(4):569-76
references: 10924774
references: Radiology. 2002 Jan;222(1):212-8
references: 11756728
references: AJR Am J Roentgenol. 2002 Dec;179(6):1515-22
references: 12438047
references: Ann Neurol. 2005 Feb;57(2):188-96
references: 15562425
references: Magn Reson Med. 1996 Dec;36(6):893-906
references: 8946355
references: Neuroimage. 2005 Jul 1;26(3):891-9
references: 15955499
references: Magn Reson Med. 2000 Oct;44(4):625-32
references: 11025519
references: J Magn Reson Imaging. 2001 Apr;13(4):534-46
references: 11276097
references: Psychiatr Q. 1995 Winter;66(4):343-55
references: 8584590
references: Neuroimage. 2005 Oct 1;27(4):862-71
references: 15978841
references: Cereb Cortex. 1997 Apr-May;7(3):268-82
references: 9143446
references: J Psychiatr Res. 1975 Nov;12(3):189-98
references: 1202204
references: Eur Radiol. 2006 Aug;16(8):1651-8
references: 16532356
references: AJNR Am J Neuroradiol. 2002 Oct;23(9):1445-56
references: 12372731
references: Prim Care Companion J Clin Psychiatry. 2005;7(2):62-69
references: 15841197
references: Neuroimage. 2006 May 1;30(4):1100-11
references: 16427322
references: Ann N Y Acad Sci. 2005 Dec;1064:37-49
references: 16394146
references: J Magn Reson B. 1994 Mar;103(3):247-54
references: 8019776
references: Neurology. 1992 Jan;42(1):183-8
references: 1734300
references: Ann Neurol. 1999 Feb;45(2):265-9
references: 9989633
references: Magn Reson Med. 2003 May;49(5):953-61
references: 12704779
references: AJNR Am J Neuroradiol. 1997 Jan;18(1):11-23
references: 9010515
references: AJNR Am J Neuroradiol. 2005 Oct;26(9):2267-74
references: 16219832
references: Magn Reson Med. 1999 Dec;42(6):1123-7
references: 10571934
references: Comput Methods Programs Biomed. 2006 Feb;81(2):106-16
references: 16413083
references: AJNR Am J Neuroradiol. 2001 Jan;22(1):136-42
references: 11158899
references: Ann N Y Acad Sci. 1992 Dec 26;673:260-9
references: 1485724
references: Acta Neurol Scand. 2000 Apr;101(4):273-8
references: 10770526
references: Biophys J. 1994 Jan;66(1):259-67
references: 8130344