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Neuroradiology

Erschienen in:

01.09.2013 | Invited Review

Quantitative MRI for studying neonatal brain development

verfasst von: John G. Sled, Revital Nossin-Manor

Erschienen in: Neuroradiology | Sonderheft 2/2013

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Abstract

Quantitative MRI techniques based on morphology and tissue microstructure dependent contrast provide a unique window on brain development in the neonatal period. The dramatic changes in morphology and MRI contrast that occur during this period have the potential to be used to identify normal and abnormal developmental trajectories that predict neurodevelopmental outcome in at risk populations. Here, we review these technologies focussing on two broad categories: gross morphological analysis and tissue microstructure assessment. With respect to morphology, we examine the role of image registration and atlas-based techniques, highlighting the challenges posed by the scale of the anatomical changes and the high incidence of radiologically abnormal scans in the premature infant population. With respect to microstructure, we examine the potential and remaining challenges for using quantitative MRI to dissociate processes of cell proliferation, neuronal maturation, and myelination by combining different signal contrasts. Recent progress from our group in this area is highlighted.

Counsell SJ, Maalouf EF, Fletcher AM, Duggan P, Battin M, Lewis HJ, Herlihy AH, Edwards AD, Bydder GM, Rutherford MA (2002) MR imaging assessment of myelination in the very preterm brain. Am J Neuroradiol 23:872–881PubMed

Girard N, Raybaud C, du Lac P (1991) MRI study of brain myelination. J Neuroradiol 18:291–307PubMed

Huppi PS, Maier SE, Peled S, Zientara GP, Barnes PD, Jolesz FA, Volpe JJ (1998) Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging. Pediatr Res 44:584–590CrossRefPubMed

Hille ET, Weisglas-Kuperus N, van Goudoever JB, Jacobusse GW, Ens-Dokkum MH, de Groot L, Wit JM, Geven WB, Kok JH, de Kleine MJ, Kollee LA, Mulder AL, van Straaten HL, de Vries LS, van Weissenbruch MM, Verloove-Vanhorick SP (2007) Functional outcomes and participation in young adulthood for very preterm and very low birth weight infants: the Dutch project on preterm and small for gestational age infants at 19 years of age. Pediatrics 120:e587–95. doi:10.1542/peds.2006-2407 CrossRefPubMed

Johnson S, Hollis C, Kochhar P, Hennessy E, Wolke D, Marlow N (2010) Psychiatric disorders in extremely preterm children: longitudinal finding at age 11 years in the EPICure study. J of the Am Acad of Child Adolesc Psychiatry 49:453–463.e1. doi:10.1016/j.jaac.2010.02.002

Wood NS, Marlow N, Costeloe K, Gibson AT, Wilkinson AR (2000) Neurologic and developmental disability after extremely preterm birth. N Engl J Med 343:378–384. doi:10.1056/NEJM200008103430601 CrossRefPubMed

Card D, Nossin-Manor R, Moore AM, Raybaud C, Sled JG, Taylor MJ (2013) Brain metabolite concentrations are associated with illness severity scores and white matter abnormalities in very preterm infants. Pediatr Res. doi:10.1038/pr.2013.62 PubMed

Battin MR, Maalouf EF, Counsell SJ, Herlihy AH, Rutherford MA, Azzopardi D, Edwards AD (1998) Magnetic resonance imaging of the brain in very preterm infants: visualization of the germinal matrix, early myelination, and cortical folding. Pediatrics 101:957–962. doi:10.1542/peds.101.6.957 CrossRefPubMed

Rodriguez-Carranza CE, Mukherjee P, Vigneron D, Barkovich J, Studholme C (2008) A framework for in vivo quantification of regional brain folding in premature neonates. NeuroImage 41:462–478. doi:10.1016/j.neuroimage.2008.01.008 CrossRefPubMed

10.

Volpe JJ (2008) Neurology of the newborn. Saunders, Philadelphia

11.

Rados M, Judas M, Kostovic I (2006) In vitro MRI of brain development. Eur J Radiol 57:187–198. doi:10.1016/j.ejrad.2005.11.019 CrossRefPubMed

12.

Deipolyi AR, Mukherjee P, Gill K, Henry RG, Partridge SC, Veeraraghavan S, Jin H, Lu Y, Miller SP, Ferriero DM, Vigneron DB, Barkovich AJ (2005) Comparing microstructural and macrostructural development of the cerebral cortex in premature newborns: diffusion tensor imaging versus cortical gyration. NeuroImage 27:579–586. doi:10.1016/j.neuroimage.2005.04.027 CrossRefPubMed

13.

McKinstry RC, Mathur A, Miller JH, Ozcan A, Snyder AZ, Schefft GL, Almli CR, Shiran SI, Conturo TE, Neil JJ (2002) Radial organization of developing preterm human cerebral cortex revealed by non-invasive water diffusion anisotropy MRI. Cereb Cortex 12:1237–1243CrossRefPubMed

14.

Zatorre RJ, Fields RD, Johansen-Berg H (2012) Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nat Neurosci 15:528–536. doi:10.1038/nn.3045 CrossRefPubMed

15.

Lerch JP, Yiu AP, Martinez-Canabal A, Pekar T, Bohbot VD, Frankland PW, Henkelman RM, Josselyn SA, Sled JG (2011) Maze training in mice induces MRI-detectable brain shape changes specific to the type of learning. NeuroImage 54:2086–2095. doi:10.1016/j.neuroimage.2010.09.086 CrossRefPubMed

16.

Staudt M, Schropp C, Staudt F, Obletter N, Bise K, Breit A (1993) Myelination of the brain in MRI: a staging system. Pediatr Radiol 23:169–176. doi:10.1007/BF02013824 CrossRefPubMed

17.

Barkovich AJ, Raybaud C (2012) Pediatric neuroimaging. Lippincott Williams & Wilkins, Philadelphia

18.

Nossin-Manor R, Chung AD, Whyte HEA, Shroff MM, Taylor MJ, Sled JG (2012) Deep gray matter maturation in very preterm neonates: regional variations and pathology-related age-dependent changes in magnetization transfer ratio. Radiology 263:510–517. doi:10.1148/radiol.12110367 CrossRefPubMed

19.

Dubois J, Benders M, Cachia A, Lazeyras F, Ha-Vinh Leuchter R, Sizonenko SV, Borradori-Tolsa C, Mangin JF, Huppi PS (2008) Mapping the early cortical folding process in the preterm newborn brain. Cereb Cortex 18:1444–1454. doi:10.1093/cercor/bhm180 CrossRefPubMed

20.

Kuklisova-Murgasova M, Aljabar P, Srinivasan L, Counsell SJ, Doria V, Serag A, Gousias IS, Boardman JP, Rutherford MA, Edwards AD, Hajnal JV, Rueckert D (2011) A dynamic 4D probabilistic atlas of the developing brain. NeuroImage 54:2750–2763. doi:10.1016/j.neuroimage.2010.10.019 CrossRefPubMed

21.

Serag A, Aljabar P, Ball G, Counsell SJ, Boardman JP, Rutherford MA, Edwards AD, Hajnal JV, Rueckert D (2012) Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression. NeuroImage 59:2255–2265CrossRefPubMed

22.

Miller MI, Christensen GE, Amit Y, Grenander U (1993) Mathematical textbook of deformable neuroanatomies. Proc Natl Acad Sci U S A 90:11944–11948CrossRefPubMed

23.

Geng X, Prom-Wormley EC, Perez J, Kubarych T, Styner M, Lin W, Neale MC, Gilmore JH (2012) White matter heritability using diffusion tensor imaging in neonatal brains. Twin Res Hum Genet 15:336–350. doi:10.1017/thg.2012.14 CrossRefPubMed

24.

Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC (2011) A reproducible evaluation of ANTs similarity metric performance in brain image registration. NeuroImage 54:2033–2044. doi:10.1016/j.neuroimage.2010.09.025 CrossRefPubMed

25.

Collins DL, Holmes CJ, Peters TM, Evans AC (1995) Automatic 3-D model- based neuroanatomical segmentation. Human Brain Mapping 3:190–208CrossRef

26.

Kovacevic N, Chen J, Sled JG, Henderson J, and Henkelman M (2004) Deformation based representation of groupwise average and variability. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004, Springer, Berlin, pp 615–622

27.

Marsland S, Twining CJ, and Taylor CJ (2003) Groupwise nonrigid registration using polyharmonic clamped-plate splines. In: Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003, Springer, Berlin, pp 771–779

28.

Nossin-Manor R, Card D, Morris D, Noormohamed S, Shroff MM, Whyte HE, Taylor MJ, Sled JG (2013) Quantitative MRI in the very preterm brain: assessing tissue organization and myelination using magnetization transfer, diffusion tensor and T-1 imaging. NeuroImage 64:505–516. doi:10.1016/j.neuroimage.2012.08.086 CrossRefPubMed

29.

Oishi K, Mori S, Donohue PK, Ernst T, Anderson L, Buchthal S, Faria A, Jiang H, Li X, Miller MI, van Zijl PC, Chang L (2011) Multi-contrast human neonatal brain atlas: application to normal neonate development analysis. NeuroImage 56:8–20. doi:10.1016/j.neuroimage.2011.01.051 CrossRefPubMed

30.

Thompson PM, Giedd JN, Woods RP, MacDonald D, Evans AC, Toga AW (2000) Growth patterns in the developing brain detected by using continuum mechanical tensor maps. Nature 404:190–193. doi:10.1038/35004593 CrossRefPubMed

31.

Ball G, Boardman JP, Rueckert D, Aljabar P, Arichi T, Merchant N, Gousias IS, Edwards AD, Counsell SJ (2012) The effect of preterm birth on thalamic and cortical development. Cereb Cortex 22:1016–1024. doi:10.1093/cercor/bhr176 CrossRefPubMed

32.

Ashburner J, Friston KJ (1999) Nonlinear spatial normalization using basis functions. Hum Brain Mapp 7:254–266CrossRefPubMed

33.

Sdika M, Pelletier D (2009) Nonrigid registration of multiple sclerosis brain images using lesion inpainting for morphometry or lesion mapping. Hum Brain Mapp 30:1060–1067. doi:10.1002/hbm.20566 CrossRefPubMed

34.

Shen D, Davatzikos C (2002) HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE Trans Med Imaging 21:1421–1439. doi:10.1109/TMI.2002.803111 CrossRefPubMed

35.

Friston KJ, Ashburner JT, Kiebel SJ, Nichols TE, and Penny WD (2011) Statistical parametric mapping: the analysis of functional brain images. Academic Press

36.

Maas LC, Mukherjee P, Carballido-Gamio J, Veeraraghavan S, Miller SP, Partridge SC, Henry RG, Barkovich AJ, Vigneron DB (2004) Early laminar organization of the human cerebrum demonstrated with diffusion tensor imaging in extremely premature infants. NeuroImage 22:1134–1140. doi:10.1016/j.neuroimage.2004.02.035 CrossRefPubMed

37.

Xue H, Srinivasan L, Jiang S, Rutherford M, Edwards AD, Rueckert D, Hajnal JV (2007) Automatic segmentation and reconstruction of the cortex from neonatal MRI. NeuroImage 38:461–477. doi:10.1016/j.neuroimage.2007.07.030 CrossRefPubMed

38.

Wang L, Shi F, Lin W, Gilmore JH, Shen D (2011) Automatic segmentation of neonatal images using convex optimization and coupled level sets. NeuroImage 58:805–817. doi:10.1016/j.neuroimage.2011.06.064 CrossRefPubMed

39.

Card D, Nossin-Manor R, and Sled JG (2011) Automated Partial Volume Tissue Classifcation in Preterm Neonates. International Society of Magnetic Resonance in Medicine 19th Scientific Meeting p. 4321

40.

Dubois J, Dehaene-Lambertz G, Perrin M, Mangin JF, Cointepas Y, Duchesnay E, Le Bihan D, Hertz-Pannier L (2008) Asynchrony of the early maturation of white matter bundles in healthy infants: quantitative landmarks revealed noninvasively by diffusion tensor imaging. Hum Brain Mapp 29:14–27. doi:10.1002/hbm.20363 CrossRefPubMed

41.

Tofts P (2003) Quantitative MRI of the brain: measuring changes caused by disease. Wiley, ChichesterCrossRef

42.

Dubois J, Hertz-Pannier L, Dehaene-Lambertz G, Cointepas Y, Le Bihan D (2006) Assessment of the early organization and maturation of infants’ cerebral white matter fiber bundles: a feasibility study using quantitative diffusion tensor imaging and tractography. NeuroImage 30:1121–1132. doi:10.1016/j.neuroimage.2005.11.022 CrossRefPubMed

43.

Williams LA, Gelman N, Picot PA, Lee DS, Ewing JR, Han VK, Thompson RT (2005) Neonatal brain: regional variability of in vivo MR imaging relaxation rates at 3.0 T–initial experience. Radiology 235:595–603. doi:10.1148/radiol.2352031769 CrossRefPubMed

44.

Henkelman RM, Stanisz GJ, Graham SJ (2001) Magnetization transfer in MRI: a review. NMR Biomed 14:57–64. doi:10.1002/nbm.683 CrossRefPubMed

45.

Kinney HC, Brody BA, Kloman AS, Gilles FH (1988) Sequence of Central Nervous System Myelination in Human Infancy. II. Patterns of Myelination in Autopsied Infants. J Neuropathol Exp Neurol 47:217–234. doi:10.1097/00005072-198805000-00003 CrossRefPubMed

46.

Huang H, Yamamoto A, Hossain MA, Younes L, Mori S (2008) Quantitative cortical mapping of fractional anisotropy in developing rat brains. J Neurosci 28:1427–1433. doi:10.1523/JNEUROSCI.3194-07.2008 CrossRefPubMed

47.

Griffith JL, Shimony JS, Cousins SA, Rees SE, McCurnin DC, Inder TE, Neil JJ (2012) MR imaging correlates of white matter pathology in a preterm baboon model. Pediatr Res 71:185–191. doi:10.1038/pr.2011.33 CrossRefPubMed

48.

Huang H, Zhang JY, Wakana S, Zhang WH, Ren TB, Richards LJ, Yarowsky P, Donohue P, Graham E, van Zijl PCM, Mori S (2006) White and gray matter development in human fetal, newborn and pediatric brains. NeuroImage 33:27–38. doi:10.1016/j.neuroimage.2006.06.009 CrossRefPubMed

49.

Huang H, Xue R, Zhang J, Ren T, Richards LJ, Yarowsky P, Miller MI, Mori S (2009) Anatomical characterization of human fetal brain development with diffusion tensor magnetic resonance imaging. J Neurosci 29:4263–4273. doi:10.1523/JNEUROSCI.2769-08.2009 CrossRefPubMed

Titel: Quantitative MRI for studying neonatal brain development
verfasst von: John G. Sled
Revital Nossin-Manor
Publikationsdatum: 01.09.2013
Verlag: Springer Berlin Heidelberg
Erschienen in: Neuroradiology / Ausgabe Sonderheft 2/2013
Print ISSN: 0028-3940
Elektronische ISSN: 1432-1920
DOI: https://doi.org/10.1007/s00234-013-1235-9

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