The predictive validity of neonatal MRI for neurodevelopmental outcome in very preterm children

Anderson, 2014, Neuropsychological outcomes of children born very preterm, Semin Fetal Neonatal Med, 19, 90, 10.1016/j.siny.2013.11.012 Hutchinson, 2013, School-age outcomes of extremely preterm or extremely low birth weight children, Pediatrics, 131, E1053, 10.1542/peds.2012-2311 Lundequist, 2013, Individual neuropsychological profiles at age 51/2 years in children born preterm in relation to medical risk factors, Child Neuropsychol, 19, 313, 10.1080/09297049.2011.653331 Spittle, 2012, Early developmental intervention programmes post-hospital discharge to prevent motor and cognitive impairments in preterm infants, Cochrane Database Syst Rev, 12, 103 Smyser, 2012, Magnetic resonance imaging of the brain at term equivalent age in extremely premature neonates: to scan or not to scan?, J Paediatr Child Health, 48, 794, 10.1111/j.1440-1754.2012.02535.x Inder, 2003, Defining the nature of the cerebral abnormalities in the premature infant: a qualitative magnetic resonance imaging study, J Pediatr, 143, 171, 10.1067/S0022-3476(03)00357-3 Dyet, 2006, Natural history of brain lesions in extremely preterm infants studied with serial magnetic resonance imaging from birth and neurodevelopmental assessment, Pediatrics, 118, 536, 10.1542/peds.2005-1866 Kidokoro, 2013, New MR imaging assessment tool to define brain abnormalities in very preterm infants at term, Am J Neuroradiol, 34, 2208, 10.3174/ajnr.A3521 Horsch, 2007, Brain abnormalities in extremely low gestational age infants: a Swedish population based Mill study, Acta Paediatr, 96, 979, 10.1111/j.1651-2227.2007.00294.x Miller, 2005, Early brain injury in premature newborns detected with magnetic resonance imaging is associated with adverse early neurodevelopmental outcome, J Pediatr, 147, 609, 10.1016/j.jpeds.2005.06.033 Woodward, 2006, Neonatal MRI to predict neurodevelopmental outcomes in preterm infants, N Engl J Med, 355, 685, 10.1056/NEJMoa053792 Skiold, 2012, Neonatal magnetic resonance imaging and outcome at age 30 months in extremely preterm infants, J Pediatr, 160, 559, 10.1016/j.jpeds.2011.09.053 Clark, 2010, Neonatal cerebral abnormalities and later verbal and visuospatial working memory abilities of children born very preterm, Dev Neuropsychol, 35, 622, 10.1080/87565641.2010.508669 Edgin, 2008, Executive functioning in preschool children born very preterm: relationship with early white matter pathology, J Int Neuropsychol Soc, 14, 90, 10.1017/S1355617708080053 Woodward, 2012, Neonatal white matter abnormalities an important predictor of neurocognitive outcome for very preterm children, PLoS One, 7, 9, 10.1371/journal.pone.0051879 Woodward, 2011, Neonatal white matter abnormalities predict global executive function impairment in children born very preterm, Dev Neuropsychol, 36, 22, 10.1080/87565641.2011.540530 Foster-Cohen, 2010, High prevalence/low severity language delay in preschool children born very preterm, J Dev Behav Pediatr, 31, 658, 10.1097/DBP.0b013e3181e5ab7e Howard, 2011, Biological and environmental factors as predictors of language skills in very preterm children at 5 years of age, J Dev Behav Pediatr, 32, 239, 10.1097/DBP.0b013e31820b7882 Spittle, 2011, Neonatal white matter abnormality predicts childhood motor impairment in very preterm children, Dev Med Child Neurol, 53, 1000, 10.1111/j.1469-8749.2011.04095.x Murray, 2014, Neonatal brain pathology predicts adverse attention and processing speed outcomes in very preterm and/or very low birth weight children, Neuropsychology, 28, 552, 10.1037/neu0000071 Omizzolo, 2014, Neonatal brain abnormalities and memory and learning outcomes at 7 years in children born very preterm, Memory, 22, 605, 10.1080/09658211.2013.809765 Reidy, 2013, Impaired language abilities and white matter abnormalities in children born very preterm and/or very low birth weight, J Pediatr, 162, 719, 10.1016/j.jpeds.2012.10.017 Maalouf, 1999, Magnetic resonance imaging of the brain in a cohort of extremely preterm infants, J Pediatr, 135, 351, 10.1016/S0022-3476(99)70133-2 Kidokoro, 2011, High signal intensity on t2-weighted MR imaging at term-equivalent age in preterm infants does not predict 2-year neurodevelopmental outcomes, Am J Neuroradiol, 32, 2005, 10.3174/ajnr.A2703 de Bruine, 2011, Clinical implications of MR imaging findings in the white matter in very preterm infants: a 2-year follow-up study, Radiology, 261, 899, 10.1148/radiol.11110797 Counsell, 2003, Diffusion-weighted imaging of the brain in preterm infants with focal and diffuse white matter abnormality, Pediatrics, 112, 1, 10.1542/peds.112.1.1 Kwon, 2014, The role of neuroimaging in predicting neurodevelopmental outcomes of preterm neonates, Clin Perinatol, 41, 257, 10.1016/j.clp.2013.10.003 Hart, 2011, Neuro-developmental outcome at 18 months in premature infants with diffuse excessive high signal intensity on MR imaging of the brain, Pediatr Radiol, 41, 1284, 10.1007/s00247-011-2155-7 Jeon, 2012, Neurodevelopmental outcomes in preterm infants: comparison of infants with and without diffuse excessive high signal intensity on MR images at near-term-equivalent age, Radiology, 263, 518, 10.1148/radiol.12111615 Iwata, 2012, Qualitative brain MRI at term and cognitive outcomes at 9 years after very preterm birth, Pediatrics, 129, E1138, 10.1542/peds.2011-1735 Tich, 2009, A novel quantitative simple brain metric using mr imaging for preterm infants, Am J Neuroradiol, 30, 125, 10.3174/ajnr.A1309 Tich, 2011, Neurodevelopmental and perinatal correlates of simple brain metrics in very preterm infants, Arch Pediatr Adolesc Med, 165, 216, 10.1001/archpediatrics.2011.9 Kidokoro, 2014, Brain injury and altered brain growth in preterm infants: predictors and prognosis, Pediatrics, 134, E444, 10.1542/peds.2013-2336 Steggerda, 2009, Cerebellar injury in preterm infants: incidence and findings on US and MR images, Radiology, 252, 190, 10.1148/radiol.2521081525 Tam, 2011, Cerebellar hemorrhage on magnetic resonance imaging in preterm newborns associated with abnormal neurologic outcome, J Pediatr, 158, 245, 10.1016/j.jpeds.2010.07.049 Volpe, 2009, Cerebellum of the premature infant: rapidly developing, vulnerable, clinically important, J Child Neurol, 24, 1085, 10.1177/0883073809338067 Limperopoulos, 2007, Does cerebellar injury in premature infants contribute to the high prevalence of long-term cognitive, learning, and behavioral disability in survivors?, Pediatrics, 120, 584, 10.1542/peds.2007-1041 Huppi, 1998, Quantitative magnetic resonance imaging of brain development in premature and mature newborns, Ann Neurol, 43, 224, 10.1002/ana.410430213 Inder, 2005, Abnormal cerebral structure is present at term in premature infants, Pediatrics, 115, 286, 10.1542/peds.2004-0326 Peterson, 2003, Regional brain volumes and their later neurodevelopmental correlates in term and preterm infants, Pediatrics, 111, 939, 10.1542/peds.111.5.939 Thompson, 2007, Perinatal risk factors altering regional brain structure in the preterm infant, Brain, 130, 667, 10.1093/brain/awl277 Thompson, 2011, Characterization of the corpus callosum in very preterm and full-term infants utilizing MRI, Neuroimage, 55, 479, 10.1016/j.neuroimage.2010.12.025 Shah, 2006, Reduction in cerebeller volumes in preterm infants: Relationships to white matter injury and neurodevelopment at two years of age, Pediatr Res, 60, 97, 10.1203/01.pdr.0000220324.27597.f0 Thompson, 2008, Neonate hippocampal volumes: prematurity, perinatal predictors, and 2-year outcome, Ann Neurol, 63, 642, 10.1002/ana.21367 Woodward, 2005, Object working memory deficits predicted by early brain injury and development in the preterm infant, Brain, 128, 2578, 10.1093/brain/awh618 Van Kooij, 2012, Cerebellar volume and proton magnetic resonance spectroscopy at term, and neurodevelopment at 2 years of age in preterm infants, Dev Med Child Neurol, 54, 260, 10.1111/j.1469-8749.2011.04168.x Beauchamp, 2008, Preterm infant hippocampal volumes correlate with later working memory deficits, Brain, 131, 2986, 10.1093/brain/awn227 Thompson, 2012, Corpus callosum alterations in very preterm infants: perinatal correlates and 2 year neurodevelopmental outcomes, Neuroimage, 59, 3571, 10.1016/j.neuroimage.2011.11.057 Lind, 2010, Relations between brain volumes, neuropsychological assessment and parental questionnaire in prematurely born children, Eur Child Adolesc Psychiatry, 19, 407, 10.1007/s00787-009-0070-3 Thompson, 2013, Hippocampal shape variations at term equivalent age in very preterm infants compared with term controls: perinatal predictors and functional significance at age 7, Neuroimage, 70, 278, 10.1016/j.neuroimage.2012.12.053 Thompson, 2014, Longitudinal growth and morphology of the hippocampus through childhood: impact of prematurity and implications for memory and learning, Hum Brain Mapp, 35, 4129, 10.1002/hbm.22464 Ortinau, 2015, The neuroanatomy of prematurity: normal brain development and the impact of preterm birth, Clin Anat, 28, 168, 10.1002/ca.22430 Ajayi-Obe, 2000, Reduced development of cerebral cortex in extremely preterm infants, Lancet, 356, 1162, 10.1016/S0140-6736(00)02761-6 Battin, 1998, Magnetic resonance imaging of the brain in very preterm infants: visualization of the germinal matrix, early myelination, and cortical folding, Pediatrics, 101, 957, 10.1542/peds.101.6.957 Dubois, 2008, Primary cortical folding in the human newborn: an early marker of later functional development, Brain, 131, 2028, 10.1093/brain/awn137 Dubois, 2008, Mapping the early cortical folding process in the preterm newborn brain, Cereb Cortex, 18, 1444, 10.1093/cercor/bhm180 Smith, 2006, Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data, Neuroimage, 31, 1487, 10.1016/j.neuroimage.2006.02.024 Bullmore, 2009, Complex brain networks: graph theoretical analysis of structural and functional systems, Nat Rev Neurosci, 10, 186, 10.1038/nrn2575 Zalesky, 2010, Network-based statistic: identifying differences in brain networks, Neuroimage, 53, 1197, 10.1016/j.neuroimage.2010.06.041 Huppi, 1998, Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging, Pediatr Res, 44, 584, 10.1203/00006450-199810000-00019 Ling, 2013, Assessment of brain maturation in the preterm infants using diffusion tensor imaging (DTI) and enhanced T2 star weighted angiography (ESWAN), Eur J Radiol, 82, e476, 10.1016/j.ejrad.2013.04.003 Pogribna, 2013, Perinatal clinical antecedents of white matter microstructural abnormalities on diffusion tensor imaging in extremely preterm infants, PLoS One, 8, e72974, 10.1371/journal.pone.0072974 Alexandrou, 2010, Early hyperglycemia is a risk factor for death and white matter reduction in preterm infants, Pediatrics, 125, e584, 10.1542/peds.2009-0449 Anjari, 2007, Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants, Neuroimage, 35, 1021, 10.1016/j.neuroimage.2007.01.035 Kaur, 2014, Reliability and repeatability of quantitative tractography methods for mapping structural white matter connectivity in preterm and term infants at term-equivalent age, PLoS One, 9, e85807, 10.1371/journal.pone.0085807 Ball, 2013, The influence of preterm birth on the developing thalamocortical connectome, Cortex, 49, 1711, 10.1016/j.cortex.2012.07.006 Pannek, 2013, Assessment of structural connectivity in the preterm brain at term equivalent age using diffusion MRI and T2 relaxometry: a network-based analysis, PLoS One, 8, e68593, 10.1371/journal.pone.0068593 Rose, 2009, Neonatal brain structure on MRI and diffusion tensor imaging, sex, and neurodevelopment in very-low-birthweight preterm children, Dev Med Child Neurol, 51, 526, 10.1111/j.1469-8749.2008.03231.x Arzoumanian, 2003, Diffusion tensor brain imaging findings at term-equivalent age may predict neurologic abnormalities in low birth weight preterm infants, Am J Neuroradiol, 24, 1646 Kaukola, 2010, Apparent diffusion coefficient on magnetic resonance imaging in pons and in corona radiata and relation with the neurophysiologic measurement and the outcome in very preterm infants, Neonatology, 97, 15, 10.1159/000226603 van Kooij, 2012, Neonatal tract-based spatial statistics findings and outcome in preterm infants, Am J Neuroradiol, 33, 188, 10.3174/ajnr.A2723 De Bruine, 2013, Tractography of white-matter tracts in very preterm infants: a 2-year follow-up study, Dev Med Child Neurol, 55, 427, 10.1111/dmcn.12099 Brouwer, 2014, Sequential cranial ultrasound and cerebellar diffusion weighted imaging contribute to the early prognosis of neurodevelopmental outcome in preterm infants, PLoS One, 9, e109556, 10.1371/journal.pone.0109556 Drobyshevsky, 2007, Serial diffusion tensor imaging detects white matter changes that correlate with motor outcome in premature infants, Dev Neurosci, 29, 289, 10.1159/000105470 Chau, 2013, Abnormal brain maturation in preterm neonates associated with adverse developmental outcomes, Neurology, 81, 2082, 10.1212/01.wnl.0000437298.43688.b9 Rose, 2007, Neonatal microstructural development of the internal capsule on diffusion tensor imaging correlates with severity of gait and motor deficits, Dev Med Child Neurol, 49, 745, 10.1111/j.1469-8749.2007.00745.x Rogers, 2012, Regional cerebral development at term relates to school-age social–emotional development in very preterm children, J Am Acad Child Adolesc Psychiatry, 51, 181, 10.1016/j.jaac.2011.11.009 Thompson, 2014, Regional white matter microstructure in very preterm infants: predictors and 7 year outcomes, Cortex, 52, 60, 10.1016/j.cortex.2013.11.010 Ogawa, 1993, Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model, Biophys J, 64, 803, 10.1016/S0006-3495(93)81441-3 Fransson, 2007, Resting-state networks in the infant brain, Proc Natl Acad Sci U S A, 104, 15531, 10.1073/pnas.0704380104 Friston, 1993, Functional connectivity: the principal-component analysis of large (PET) data sets, J Cereb Blood Flow Metab: Off J Int Soc Cereb Blood Flow Metab, 13, 5, 10.1038/jcbfm.1993.4 van den Heuvel, 2010, Exploring the brain network: a review on resting-state fMRI functional connectivity, Eur Neuropsychopharmacol, 20, 519, 10.1016/j.euroneuro.2010.03.008 Damoiseaux, 2006, Consistent resting-state networks across healthy subjects, Proc Natl Acad Sci U S A, 103, 13848, 10.1073/pnas.0601417103 van den Heuvel, 2008, Normalized cut group clustering of resting-state FMRI data, PLoS One, 3, e2001, 10.1371/journal.pone.0002001 Doria, 2010, Emergence of resting state networks in the preterm human brain, Proc Natl Acad Sci U S A, 107, 20015, 10.1073/pnas.1007921107 Smyser, 2010, Longitudinal analysis of neural network development in preterm infants, Cereb Cortex, 20, 2852, 10.1093/cercor/bhq035 Smyser, 2013, Effects of white matter injury on resting state fMRI measures in prematurely born infants, PLoS One, 8, e68098, 10.1371/journal.pone.0068098 Smyser, 2014, Resting-state network complexity and magnitude are reduced in prematurely born infants, Cereb Cortex, 10.1093/cercor/bhu251 Birken, 1989, N-acetyl-l-aspartic acid—a literature-review of a compound prominent in h-1-nmr spectroscopic studies of brain, Neurosci Biobehav Rev, 13, 23, 10.1016/S0149-7634(89)80048-X Robertson, 2001, Magnetic resonance spectroscopy of the neonatal brain Cheong, 2006, Proton MR spectroscopy in neonates with perinatal cerebral hypoxic-ischemic injury: metabolite peak-area ratios, relaxation times, and absolute concentrations, Am J Neuroradiol, 27, 1546 Provencher, 2001, Automatic quantitation of localized in vivo H-1 spectra with LC Model, NMR Biomed, 14, 260, 10.1002/nbm.698 Kreis, 2002, Brain metabolite composition during early human brain development as measured by quantitative in vivo H-1 magnetic resonance spectroscopy, Magn Reson Med, 48, 949, 10.1002/mrm.10304 Xu, 2011, MR spectroscopy of normative premature newborns, J Magn Reson Imaging, 33, 306, 10.1002/jmri.22460 Gadin, 2012, Volumetric MRI and MRS and early motor development of infants born preterm, Pediatr Phys Ther, 24, 38, 10.1097/PEP.0b013e31823e069d Vigneron, 2001, Three-dimensional proton MR spectroscopic imaging of premature and term neonates, Am J Neuroradiol, 22, 1424 Robertson, 2000, Characterization of cerebral white matter damage in preterm infants using H-1 and P-31 magnetic resonance spectroscopy, J Cereb Blood Flow Metab, 20, 1446, 10.1097/00004647-200010000-00006 Card, 2013, Brain metabolite concentrations are associated with illness severity scores and white matter abnormalities in very preterm infants, Pediatr Res, 74, 75, 10.1038/pr.2013.62 Wisnowski, 2014, Magnetic resonance spectroscopy markers of axons and astrogliosis in relation to specific features of white matter injury in preterm infants, Neuroradiology, 56, 771, 10.1007/s00234-014-1380-9 Wisnowski, 2013, Altered glutamatergic metabolism associated with punctate white matter lesions in preterm infants, PLoS One, 8, 8, 10.1371/journal.pone.0056880 Bapat, 2014, Magnetic resonance spectroscopy at term-equivalent age in extremely preterm infants: association with cognitive and language development, Pediatr Neurol, 51, 53, 10.1016/j.pediatrneurol.2014.03.011 Hart, 2014, Diffusion-weighted imaging and magnetic resonance proton spectroscopy following preterm birth, Clin Radiol, 69, 870, 10.1016/j.crad.2014.04.001 Kendall, 2014, White matter NAA/Cho and Cho/Cr Ratios at MR spectroscopy are predictive of motor outcome in preterm infants, Radiology, 271, 230, 10.1148/radiol.13122679 Augustine, 2008, Can magnetic resonance spectroscopy predict neurodevelopmental outcome in very low birth weight preterm infants?, J Perinatol, 28, 611, 10.1038/jp.2008.66