Abstract
Objectives
To quantify the brain maturation process during childhood using combined amide proton transfer (APT) and conventional magnetization transfer (MT) imaging at 3 Tesla.
Methods
Eighty-two neurodevelopmentally normal children (44 males and 38 females; age range, 2−190 months) were imaged using an APT/MT imaging protocol with multiple saturation frequency offsets. The APT-weighted (APTW) and MT ratio (MTR) signals were quantitatively analyzed in multiple brain areas. Age-related changes in MTR and APTW were evaluated with a non-linear regression analysis.
Results
The APTW signals followed a decreasing exponential curve with age in all brain regions measured (R2 = 0.7−0.8 for the corpus callosum, frontal and occipital white matter, and centrum semiovale). The most significant changes appeared within the first year. At maturation, larger decreases in APTW and lower APTW values were found in the white matter. On the contrary, the MTR signals followed an increasing exponential curve with age in the same brain regions measured, with the most significant changes appearing within the initial 2 years. There was an inverse correlation between the MTR and APTW signal intensities during brain maturation.
Conclusions
Together with MT imaging, protein-based APT imaging can provide additional information in assessing brain myelination in the paediatric population.
Key Points
• APTW signals followed a decreasing exponential curve with age.
• The most significant APTW changes appeared within the first year
• At maturation, larger APTW decreases and lower APTW appeared in white matter
• MTR signals followed an increasing exponential curve with age
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Abbreviations
- APT:
-
Amide proton transfer
- APTW:
-
APT-weighted
- FLAIR:
-
Fluid-attenuated inversion recovery
- MT:
-
Magnetization transfer
- MTR:
-
Magnetization transfer ratio
- WM:
-
White matter
References
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
Knickmeyer RC, Gouttard S, Kang C et al (2008) A structural MRI study of human brain development from birth to 2 years. J Neurosci 28:12176–12182
Geng X, Gouttard S, Sharma A et al (2012) Quantitative tract-based white matter development from birth to age 2 years. Neuroimage 61:542–557
Dietrich RB, Bradley WG, Zaragoza EJ et al (1988) MR evaluation of early myelination patterns in normal and developmentally delayed infants. AJR Am J Roentgenol 150:889–896
Bird CR, Hedberg M, Drayer BP, Keller PJ, Flom RA, Hodak JA (1989) MR assessment of myelination in infants and children: usefulness of marker sites. AJNR Am J Neuroradiol 10:731–740
Barkovich AJ, Kjos BO, Jackson DE Jr, Norman D (1988) Normal maturation of the neonatal and infant brain: MR imaging at 1.5 T. Radiology 166:173–180
Ballesteros MC, Hansen PE, Soila K (1993) MR imaging of the developing human brain. Part 2. Postnatal development. Radiographics 13:611–622
Ding XQ, Kucinski T, Wittkugel O et al (2004) Normal brain maturation characterized with age-related T2 relaxation times: an attempt to develop a quantitative imaging measure for clinical use. Investig Radiol 39:740–746
Forbes KP, Pipe JG, Bird CR (2002) Changes in brain water diffusion during the 1st year of life. Radiology 222:405–409
Laule C, Vavasour IM, Kolind SH et al (2007) Magnetic resonance imaging of myelin. Neurotherapeutics 4:460–484
Welker KM, Patton A (2012) Assessment of normal myelination with magnetic resonance imaging. Semin Neurol 32:15–28
Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW (2003) Mapping cortical change across the human life span. Nat Neurosci 6:309–315
Deoni SC, Mercure E, Blasi A et al (2011) Mapping infant brain myelination with magnetic resonance imaging. J Neurosci 31:784–791
Huang H, Shu N, Mishra V et al (2013) Development of human brain structural networks through infancy and childhood. Cereb Cortex. doi:10.1093/cercor/bht1335
Henkelman RM, Stanisz GJ, Graham SJ (2001) Magnetization transfer in MRI: a review. NMR Biomed 14:57–64
Kucharczyk W, Macdonald PM, Stanisz GJ, Henkelman RM (1994) Relaxation and magnetization transfer of white matter lipids at MR imaging: importance of cerebtosides and pH. Radiology 192:521–529
Engelbrecht V, Rassek M, Preiss S, Wald C, Modder U (1998) Age-dependent changes in magnetization transfer contrast of white matter in the pediatric brain. AJNR Am J Neuroradiol 19:1923–1929
van Buchem MA, Steens SC, Vrooman HA et al (2001) Global estimation of myelination in the developing brain on the basis of magnetization transfer imaging: a preliminary study. AJNR Am J Neuroradiol 22:762–766
Zhou J, Payen J, Wilson DA, Traystman RJ, van Zijl PCM (2003) Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI. Nat Med 9:1085–1090
Zhou J, van Zijl PC (2006) Chemical exchange saturation transfer imaging and spectroscopy. Prog NMR Spectrosc 48:109–136
Sherry AD, Woods M (2008) Chemical exchange saturation transfer contrast agents for magnetic resonance imaging. Annu Rev Biomed Eng 10:391–411
Yan K, Fu Z, Yang C et al (2015) Assessing amide proton transfer (APT) MRI contrast origins in 9L gliosarcoma in the rat brain using proteomic analysis. Mol Imaging Biol. doi:10.1007/s11307-11015-10828-11306
Zhou J, Zhu H, Lim M et al (2013) Three-dimensional amide proton transfer MR imaging of gliomas: initial experience and comparison with gadolinium enhancement. J Magn Reson Imaging 38:1119–1128
Jiang S, Yu H, Wang X et al (2015) Molecular MRI differentiation between primary central nervous system lymphomas and high-grade gliomas using endogenous protein-based amide proton transfer MR imaging at 3 Tesla. Eur Radiol. doi:10.1007/s00330-00015-03805-00331
Harston GW, Tee YK, Blockley N et al (2015) Identifying the ischaemic penumbra using pH-weighted magnetic resonance imaging. Brain 138:36–42
Zhang Y, Heo HY, Lee DH et al (2015) Selecting the reference image for registration of CEST series. J Magn Reson Imaging. doi:10.1002/jmri.25027
Cox RW (1996) AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 29:162–173
Wen Z, Hu S, Huang F et al (2010) MR imaging of high-grade brain tumors using endogenous protein and peptide-based contrast. Neuroimage 51:616–622
Barkovich AJ (2000) Concepts of myelin and myelination in neuroradiology. AJNR Am J Neuroradiol 21:1099–1109
Rispoli P, Carzino R, Svaldo-Lanero T et al (2007) A thermodynamic and structural study of myelin basic protein in lipid membrane models. Biophys J 93:1999–2010
Sternberger NH, Itoyama Y, Kies MW, Webster HD (1978) Immunocytochemical method to identify basic protein in myelin-forming oligodendrocytes of newborn rat C.N.S. J Neurocytol 7:251–263
Hartman BK, Agrawal HC, Kalmbach S, Shearer WT (1979) A comparative study of the immunohistochemical localization of basic protein to myelin and oligodendrocytes in rat and chicken brain. J Comp Neurol 188:273–290
Keupp J, Baltes C, Harvey PR, van den Brink J (2011) Parallel RF transmission based MRI technique for highly sensitive detection of amide proton transfer in the human brainProc 19th Annual Meeting ISMRM, Montreal, Quebec, pp 710
Zu Z, Janve VA, Xu J, Does MD, Gore JC, Gochberg DF (2013) A new method for detecting exchanging amide protons using chemical exchange rotation transfer. Magn Reson Med 69:637–647
Lee JS, Xia D, Ge Y, Jerschow A, Regatte RR (2014) Concurrent saturation transfer contrast in in vivo brain by a uniform magnetization transfer MRI. Neuroimage 95:22–28
Desmond KL, Moosvi F, Stanisz GJ (2014) Mapping of amide, amine, and aliphatic peaks in the CEST spectra of murine xenografts at 7 T. Magn Reson Med 71:1841–1853
Cai K, Singh A, Poptani H et al (2015) CEST signal at 2 ppm (CEST@2ppm) from Z-spectral fitting correlates with creatine distribution in brain tumor. NMR Biomed 28:1–8
Heo H-Y, Zhang Y, Jiang S, Lee D-H, Zhou J (2015) Quantitative assessment of amide proton transfer (APT) and nuclear Overhauser enhancement (NOE) imaging with extrapolated semi-solid magnetization transfer reference (EMR) signals: II. Comparison of three EMR models and application to human brain glioma at 3 T. Magn Reson Med. doi:10.1002/mrm.25795
Acknowledgments
The authors thank Ms. Mary McAllister for editorial assistance. The scientific guarantor of this publication is Yun Peng, M.D., Ph.D. Dr. Jinyuan Zhou is a co-inventor on a patent at the USA Patent and Trademark Office for the APT-MRI technology that is licensed to Philips Healthcare. This patent is owned and managed by Johns Hopkins University. The other authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. This study has received funding from the National Natural Science Foundation of China (31271161) and from the National Institutes of Health (R01NS083425, R01EB009731, and R01CA166171). No complex statistical methods were necessary for this paper. Institutional review board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. Methodology: prospective, diagnostic or prognostic study, performed at one institution.
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Zhang, H., Kang, H., Zhao, X. et al. Amide Proton Transfer (APT) MR imaging and Magnetization Transfer (MT) MR imaging of pediatric brain development. Eur Radiol 26, 3368–3376 (2016). https://doi.org/10.1007/s00330-015-4188-z
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DOI: https://doi.org/10.1007/s00330-015-4188-z