Abstract
Region of interest based morphometric diffusion tensor imaging analysis, has been used extensively for the assessment of age-related changes in human brain, is limited to two dimensions and does not reflect the whole fiber bundle; however, diffusion tensor tractography (DTT) offers an overall view of individual fiber bundle in three-dimensional spaces. Quantitative DTT was performed on 51 healthy subjects of pediatric age range and young adults to compare age-related fractional anisotropy (FA) changes in corpus callosum, sensory and motor pathways, limbic tracts [cingulum (CNG) and fornix (Fx)], and superior and inferior longitudinal fascicules. In corpus callosum, inferior longitudinal fascicules, limbic tracts (CNG and Fx), sensory pathways, and motor pathways, an initial sharp increase in FA was observed up to the age of 2 y followed by a gradual increase up to 21 y. In superior longitudinal fascicules, sharp increase in FA was observed up to 3 y followed by a gradual increase. The FA value of the left CNG (p = 0.01, sign test) was observed to be significantly greater than that of the right CNG. We conclude that white matter fiber tracts mature with age and can be assessed by using DTT that may greatly improve our understanding of the human brain development.
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Abbreviations
- CC:
-
corpus callosum
- CNG:
-
cingulum
- DTI:
-
diffusion tensor imaging
- DTT:
-
diffusion tensor tractography
- D:
-
dimensions
- FA:
-
fractional anisotropy
- FD:
-
fiber density
- Fx:
-
fornix
- ILF:
-
inferior longitudinal fascicules
- MD:
-
mean diffusivity
- ROI:
-
region of interest
- SFM:
-
stable fiber mass
- SLF:
-
superior longitudinal fasciculus
- WM:
-
white matter
References
Yakovlev PI, Lecours AR 1967 The myelogenetic cycles of regional maturation of the brain. In: Minkowski A (ed) Regional Development of the Brain in Early Life. Blackwell Scientific, Oxford pp 3–70
Barkovich AJ 2000 Concepts of myelin and myelination in neuroradiology. Am J Neuroradiol 21: 1099–1109
Paus T, Collins DL, Evans AC, Leonard G, Pike B, Zijdenbos A 2001 Maturation of white matter in the human brain: a review of magnetic resonance studies. Brain Res Bull 54: 255–266
Benes FM 1989 Myelination of cortical-hippocampal relays during late adolescence. Schizophr Bull 15: 585–593
Morriss MC, Zimmerman RA, Bilaniuk LT, Hunter JV, Haselgrove JC 1999 Changes in brain water diffusion during childhood. Neuroradiology 41: 929–934
Engelbrecht V, Rassek M, Preiss S, Wald C, Mödder U 1998 Age-dependent changes in magnetization transfer contrast of white matter in the pediatric brain. Am J Neuroradiol 19: 1923–1929
Le Bihan D, Mangin JF, Poupon C, Clark CA, Pappata S, Molko N, Chabriat H 2001 Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 13: 534–546
Beaulieu C 2002 The basis of anisotropic water diffusion in the nervous system—a technical review. NMR Biomed 15: 435–455
Wieshmann UC, Clark CA, Symms MR, Franconi F, Barker GJ, Shorvon SD 1999 Reduced anisotropy of water diffusion in structural cerebral abnormalities demonstrated with diffusion tensor imaging. Magn Reson Imaging 17: 1269–1274
Moseley M 2002 Diffusion tensor imaging and aging—a review. NMR Biomed 15: 553–560
Mukherjee P, Chung SW, Berman JI, Hess CP, Henry RG 2008 Diffusion tensor MR imaging and fiber tractography: technical considerations. Am J Neuroradiol 29: 843–852
Partridge SC, Mukherjee P, Berman JI, Henry RG, Miller SP, Lu Y, Glenn OA, Ferriero DM, Barkovich AJ, Vigneron DB 2005 Tractography-based quantitation of diffusion tensor imaging parameters in white matter tracts of preterm newborns. J Magn Reson Imaging 22: 467–474
Lebel C, Walker L, Leemans A, Phillips L, Beaulieu C 2008 Microstructural maturation of the human brain from childhood to adulthood. Neuroimage 40: 1044–1055
Eluvathingal TJ, Hasan KM, Kramer L, Fletcher JM, Ewing-Cobbs L 2007 Quantitative diffusion tensor tractography of association and projection fibers in normally developing children and adolescents. Cereb Cortex 17: 2760–2768
Hasan KM, Iftikhar A, Kamali A, Kramer LA, Ashtari M, Cirino PT, Papanicolaou AC, Fletcher JM, Ewing-Cobbs L 2009 Development and aging of the healthy human brain uncinate fasciculus across the lifespan using diffusion tensor tractography. Brain Res 1276: 67–76
Giorgio A, Watkins KE, Douaud G, James AC, James S, De Stefano N, Matthews PM, Smith SM, Johansen-Berg H 2008 Changes in white matter microstructure during adolescence. Neuroimage 39: 52–61
Basser PJ, Pajevic S, Pierpaoli C, Duda J, Aldroubi A 2000 In vivo fiber tractography using DT-MRI data. Magn Reson Med 44: 625–632
Johansen-Berg H, Behrens TE 2006 Just pretty pictures? What diffusion tractography can add in clinical neuroscience. Curr Opin Neurol 19: 379–385
Catani M 2006 Diffusion tensor magnetic resonance imaging tractography in cognitive disorders. Curr Opin Neurol 19: 599–606
Oldfield RC 1971 The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9: 97–113
Tan U, Tan M 1999 Incidences of asymmetries for the palmar grasp reflex in neonates and hand preference in adults. Neuroreport 10: 3253–3256
Hasan KM, Parker DL, Alexander AL 2001 Comparison of gradient encoding schemes for diffusion-tensor MRI. J Magn Reson Imaging 13: 769–780
Mori S, Crain BJ, Chacko VP, van Zijl PC 1999 Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol 45: 265–269
McGraw P, Liang L, Provenzale JM 2002 Evaluation of normal age-related changes in anisotropy during infancy and childhood as shown by diffusion tensor imaging. Am J Roentgenol 179: 1515–1522
Schneider JF, Il'yasov KA, Hennig J, Martin E 2004 Fast quantitative diffusion-tensor imaging of cerebral white matter from the neonatal period to adolescence. Neuroradiology 46: 258–266
Jones DK, Symms MR, Cercignani M, Howard RJ 2005 The effect of filter size on VBM analyses of DT-MRI data. Neuroimage 26: 546–554
Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O, Cader MZ, Matthews PM, Behrens TE 2006 Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31: 1487–1505
Wakana S, Caprihan A, Panzenboeck MM, Fallon JH, Perry M, Gollub RL, Hua K, Zhang J, Jiang H, Dubey P, Blitz A, van Zijl P, Mori S 2007 Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 36: 630–644
Saksena S, Husain N, Malik GK, Trivedi R, Sarma M, Rathore RS, Pandey CM, Gupta RK 2008 Comparative Evaluation of the cerebral and cerebellar white matter development in pediatric age group using quantitative diffusion tensor imaging. Cerebellum 7: 392–400
Catani M, Jones DK, Donato R, Ffytche DH 2003 Occipito-temporal connections in the human brain. Brain 126: 2093–2107
Pajevic S, Pierpaoli C 1999 Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: application to white matter fiber tract mapping in the human brain. Magn Reson Med 42: 526–540
Brody BA, Kinney HC, Kloman AS, Gilles FH 1987 Sequence of central nervous system myelination in human infancy: I. An autopsy study of myelination. J Neuropathol Exp Neurol 46: 283–301
Paus T, Zijdenbos A, Worsley K, Collins DL, Blumenthal J, Giedd JN, Rapoport JL, Evans AC 1999 Structural maturation of neural pathways in children and adolescents: in vivo study. Science 283: 1908–1911
van Veen V, Cohen JD, Botvinick MM, Stenger VA, Carter CS 2001 Anterior cingulate cortex, conflict monitoring, and levels of processing. Neuroimage 14: 1302–1308
Benes FM 2000 Emerging principles of altered neural circuitry in schizophrenia. Brain Res Brain Res Rev 31: 251–269
Gong G, Jiang T, Zhu C, Zang Y, Wang F, Xie S, Xiao J, Guo X 2005 Asymmetry analysis of cingulum based on scale-invariant parameterization by diffusion tensor imaging. Hum Brain Mapp 24: 92–98
Acknowledgements
Sona Saksena acknowledges the financial assistance from the Indian Council of Medical Research, New Delhi, India.
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Supported by grant no. BT/PR5009/MED/14/581/2004 from the Department of Biotechnology, New Delhi, India.
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Trivedi, R., Agarwal, S., Rathore, R. et al. Understanding Development and Lateralization of Major Cerebral Fiber Bundles in Pediatric Population Through Quantitative Diffusion Tensor Tractography. Pediatr Res 66, 636–641 (2009). https://doi.org/10.1203/PDR.0b013e3181bbc6b5
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DOI: https://doi.org/10.1203/PDR.0b013e3181bbc6b5
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