{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T00:17:54Z","timestamp":1771546674764,"version":"3.50.1"},"reference-count":84,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T00:00:00Z","timestamp":1667174400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["R01-NS094200"],"award-info":[{"award-number":["R01-NS094200"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["R01-NS096037"],"award-info":[{"award-number":["R01-NS096037"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["R01-EB029944"],"award-info":[{"award-number":["R01-EB029944"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009633","name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["R21-HD094085"],"award-info":[{"award-number":["R21-HD094085"]}],"id":[{"id":"10.13039\/100009633","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1016\/j.neuroimage.2022.119727","type":"journal-article","created":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T03:09:57Z","timestamp":1667272197000},"page":"119727","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":13,"special_numbering":"C","title":["Diffuse excessive high signal intensity in the preterm brain on advanced MRI represents widespread neuropathology"],"prefix":"10.1016","volume":"264","author":[{"given":"Julia E.","family":"Kline","sequence":"first","affiliation":[]},{"given":"Jon","family":"Dudley","sequence":"additional","affiliation":[]},{"given":"Venkata Sita Priyanka","family":"Illapani","sequence":"additional","affiliation":[]},{"given":"Hailong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Beth","family":"Kline-Fath","sequence":"additional","affiliation":[]},{"given":"Jean","family":"Tkach","sequence":"additional","affiliation":[]},{"given":"Lili","family":"He","sequence":"additional","affiliation":[]},{"given":"Weihong","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Nehal A.","family":"Parikh","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neuroimage.2022.119727_bib0001","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1016\/S1053-8119(03)00336-7","article-title":"How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging","volume":"20","author":"Andersson","year":"2003","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0002","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1016\/j.neuroimage.2017.02.085","article-title":"Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement","volume":"152","author":"Andersson","year":"2017","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0003","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1016\/j.neuroimage.2016.06.058","article-title":"Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images","volume":"141","author":"Andersson","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0004","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s00401-017-1718-6","article-title":"White matter injury in the preterm infant: pathology and mechanisms","volume":"134","author":"Back","year":"2017","journal-title":"Acta Neuropathol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0005","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1002\/ana.24995","article-title":"Multimodal image analysis of clinical influences on preterm brain development","volume":"82","author":"Ball","year":"2017","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0006","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1016\/j.nicl.2017.11.017","article-title":"Exploring the multiple-hit hypothesis of preterm white matter damage using diffusion MRI","volume":"17","author":"Barnett","year":"2018","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0007","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/j.neuroimage.2017.01.065","article-title":"Early development of structural networks and the impact of prematurity on brain connectivity","volume":"149","author":"Batalle","year":"2017","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0008","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/j.neuroimage.2018.09.045","article-title":"Early breast milk exposure modifies brain connectivity in preterm infants","volume":"184","author":"Blesa","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0009","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.neuroimage.2006.03.029","article-title":"Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry","volume":"32","author":"Boardman","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0010","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0149578","article-title":"Clinical implications of diffuse excessive high signal intensity (DEHSI) on neonatal MRI in school age children born extremely preterm","volume":"11","author":"Brostrom","year":"2016","journal-title":"PLoS One"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0011","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1002\/ana.22627","article-title":"Arrested preoligodendrocyte maturation contributes to myelination failure in premature infants","volume":"71","author":"Buser","year":"2012","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0012","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1007\/s11547-015-0540-2","article-title":"Neurodevelopmental outcome at 36 months in very low birth weight premature infants with MR diffuse excessive high signal intensity (DEHSI) of cerebral white matter","volume":"120","author":"Calloni","year":"2015","journal-title":"Radiol. Med."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2022.102987","article-title":"Brain microstructural antecedents of visual difficulties in infants born very preterm","volume":"34","author":"Chandwani","year":"2022","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0014","doi-asserted-by":"crossref","first-page":"623","DOI":"10.3174\/ajnr.A1399","article-title":"Abnormal white matter signal on MR imaging is related to abnormal tissue microstructure","volume":"30","author":"Cheong","year":"2009","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0015","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1542\/peds.2005-0820","article-title":"Axial and radial diffusivity in preterm infants who have diffuse white matter changes on magnetic resonance imaging at term-equivalent age","volume":"117","author":"Counsell","year":"2006","journal-title":"Pediatrics"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0016","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1148\/radiol.11110797","article-title":"Clinical implications of MR imaging findings in the white matter in very preterm infants: a 2-year follow-up study","volume":"261","author":"de Bruine","year":"2011","journal-title":"Radiology"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118417","article-title":"Fixel-based analysis of diffusion MRI: methods, applications, challenges and opportunities","volume":"241","author":"Dhollander","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0018","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1542\/peds.2005-1866","article-title":"Natural history of brain lesions in extremely preterm infants studied with serial magnetic resonance imaging from birth and neurodevelopmental assessment","volume":"118","author":"Dyet","year":"2006","journal-title":"Pediatrics"},{"issue":"23","key":"10.1016\/j.neuroimage.2022.119727_bib0019","doi-asserted-by":"crossref","first-page":"8891","DOI":"10.3390\/ijms21238891","article-title":"Magnetic resonance imaging correlates of white matter gliosis and injury in preterm fetal sheep exposed to progressive systemic inflammation","volume":"21","author":"Galinsky","year":"2020","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0020","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1038\/pr.2011.33","article-title":"MR imaging correlates of white-matter pathology in a preterm baboon model","volume":"71","author":"Griffith","year":"2012","journal-title":"Pediatr. Res."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0021","doi-asserted-by":"crossref","first-page":"1284","DOI":"10.1007\/s00247-011-2155-7","article-title":"Neuro-developmental outcome at 18 months in premature infants with diffuse excessive high signal intensity on MR imaging of the brain","volume":"41","author":"Hart","year":"2011","journal-title":"Pediatr. Radiol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0022","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2021.753033","article-title":"Deep multimodal learning from MRI and clinical data for early prediction of neurodevelopmental deficits in very preterm infants","volume":"15","author":"He","year":"2021","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0023","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.pediatrneurol.2015.05.001","article-title":"Aberrant executive and frontoparietal functional connectivity in very preterm infants with diffuse white matter abnormalities","volume":"53","author":"He","year":"2015","journal-title":"Pediatr. Neurol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118112","article-title":"White matter analysis of the extremely preterm born adult brain","volume":"237","author":"Irzan","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0025","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1016\/j.ijdevneu.2007.09.009","article-title":"Abnormal white matter appearance on term FLAIR predicts neuro-developmental outcome at 6 years old following preterm birth","volume":"25","author":"Iwata","year":"2007","journal-title":"Int. J. Dev. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0026","doi-asserted-by":"crossref","first-page":"e1138","DOI":"10.1542\/peds.2011-1735","article-title":"Qualitative brain MRI at term and cognitive outcomes at 9 years after very preterm birth","volume":"129","author":"Iwata","year":"2012","journal-title":"Pediatrics"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0027","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.neuroimage.2014.12.009","article-title":"One diffusion acquisition and different white matter models: how does microstructure change in human early development based on WMTI and NODDI?","volume":"107","author":"Jelescu","year":"2015","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0028","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1164\/rccm.201812-2348OC","article-title":"The diagnosis of bronchopulmonary dysplasia in very preterm infants. An evidence-based approach","volume":"200","author":"Jensen","year":"2019","journal-title":"Am. J. Respir. Crit. Care Med."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0029","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1148\/radiol.12111615","article-title":"Neurodevelopmental outcomes in preterm infants: comparison of infants with and without diffuse excessive high signal intensity on MR images at near-term-equivalent age","volume":"263","author":"Jeon","year":"2012","journal-title":"Radiology"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0030","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1109\/TMI.2011.2162099","article-title":"Determination of axonal and dendritic orientation distributions within the developing cerebral cortex by diffusion tensor imaging","volume":"31","author":"Jespersen","year":"2012","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0031","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.neuroimage.2014.07.061","article-title":"Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data","volume":"103","author":"Jeurissen","year":"2014","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0032","first-page":"2671","article-title":"Structural, immunocytochemical, and mr imaging properties of periventricular crossroads of growing cortical pathways in preterm infants","volume":"26","author":"Judas","year":"2005","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0033","doi-asserted-by":"crossref","first-page":"3080","DOI":"10.1002\/hbm.23227","article-title":"Axon density and axon orientation dispersion in children born preterm","volume":"37","author":"Kelly","year":"2016","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117068","article-title":"Long-term development of white matter fibre density and morphology up to 13 years after preterm birth: a fixel-based analysis","volume":"220","author":"Kelly","year":"2020","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0035","doi-asserted-by":"crossref","first-page":"2005","DOI":"10.3174\/ajnr.A2703","article-title":"High signal intensity on T2-weighted MR imaging at term-equivalent age in preterm infants does not predict 2-year neurodevelopmental outcomes","volume":"32","author":"Kidokoro","year":"2011","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0036","doi-asserted-by":"crossref","first-page":"2208","DOI":"10.3174\/ajnr.A3521","article-title":"New MR imaging assessment tool to define brain abnormalities in very preterm infants at term","volume":"34","author":"Kidokoro","year":"2013","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0037","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1136\/archdischild-2019-317466","article-title":"Early cortical maturation predicts neurodevelopment in very preterm infants","volume":"105","author":"Kline","year":"2020","journal-title":"Arch. Dis. Child. Fetal Neonatal. Ed."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0038","doi-asserted-by":"crossref","first-page":"19679","DOI":"10.1038\/s41598-019-56298-x","article-title":"Retinopathy of prematurity and bronchopulmonary dysplasia are independent antecedents of cortical maturational abnormalities in very preterm infants","volume":"9","author":"Kline","year":"2019","journal-title":"Sci. Rep."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2021.102739","article-title":"Diffuse white matter abnormality in very preterm infants at term reflects reduced brain network efficiency","volume":"31","author":"Kline","year":"2021","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2020.102475","article-title":"Automated brain morphometric biomarkers from MRI at term predict motor development in very preterm infants","volume":"28","author":"Kline","year":"2020","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0041","doi-asserted-by":"crossref","first-page":"e604","DOI":"10.1542\/peds.2006-3054","article-title":"Relationship between white matter apparent diffusion coefficients in preterm infants at term-equivalent age and developmental outcome at 2 years","volume":"120","author":"Krishnan","year":"2007","journal-title":"Pediatrics"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0042","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1038\/s41467-017-00422-w","article-title":"Integrative genomics of microglia implicates DLG4 (PSD95) in the white matter development of preterm infants","volume":"8","author":"Krishnan","year":"2017","journal-title":"Nat. Commun."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0043","doi-asserted-by":"crossref","first-page":"13744","DOI":"10.1073\/pnas.1704907114","article-title":"Machine learning shows association between genetic variability in PPARG and cerebral connectivity in preterm infants","volume":"114","author":"Krishnan","year":"2017","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0044","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.neuroimage.2014.03.057","article-title":"Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models","volume":"96","author":"Kunz","year":"2014","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0045","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1007\/s00234-014-1373-8","article-title":"Diffuse excessive high signal intensity in low-risk preterm infants at term-equivalent age does not predict outcome at 1 year: a prospective study","volume":"56","author":"Leitner","year":"2014","journal-title":"Neuroradiology"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0046","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.2021200166","article-title":"Automatic segmentation of diffuse white matter abnormality on T2-weighted brain MR images using deep learning in very preterm infants","volume":"3","author":"Li","year":"2021","journal-title":"Radiol. Artif. Intell."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0047","doi-asserted-by":"crossref","first-page":"610","DOI":"10.3389\/fnins.2019.00610","article-title":"Objective and automated detection of diffuse white matter abnormality in preterm infants using deep convolutional neural networks","volume":"13","author":"Li","year":"2019","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0048","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/S0022-3476(99)70133-2","article-title":"Magnetic resonance imaging of the brain in a cohort of extremely preterm infants","volume":"135","author":"Maalouf","year":"1999","journal-title":"J Pediatr"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0049","doi-asserted-by":"crossref","first-page":"1818","DOI":"10.1109\/TMI.2014.2322280","article-title":"Automatic whole brain MRI segmentation of the developing neonatal brain","volume":"33","author":"Makropoulos","year":"2014","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0050","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.neuroimage.2018.01.054","article-title":"The developing human connectome project: a minimal processing pipeline for neonatal cortical surface reconstruction","volume":"173","author":"Makropoulos","year":"2018","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0051","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.diii.2020.10.009","article-title":"Automated brain MRI metrics in the EPIRMEX cohort of preterm newborns: Correlation with the neurodevelopmental outcome at 2 years","volume":"102","author":"Morel","year":"2021","journal-title":"Diagn. Interv. Imaging"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0052","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1148\/radiol.2212001702","article-title":"Normal brain maturation during childhood: developmental trends characterized with diffusion-tensor MR imaging","volume":"221","author":"Mukherjee","year":"2001","journal-title":"Radiology"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117163","article-title":"Brain microstructure and morphology of very preterm-born infants at term equivalent age: Associations with motor and cognitive outcomes at 1 and 2 years","volume":"221","author":"Pannek","year":"2020","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0054","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1053\/j.semperi.2016.09.005","article-title":"Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants","volume":"40","author":"Parikh","year":"2016","journal-title":"Semin. Perinatol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0055","doi-asserted-by":"crossref","first-page":"15920","DOI":"10.1038\/s41598-020-72632-0","article-title":"Novel diffuse white matter abnormality biomarker at term-equivalent age enhances prediction of long-term motor development in very preterm children","volume":"10","author":"Parikh","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0056","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.pediatrneurol.2013.08.026","article-title":"Automatically quantified diffuse excessive high signal intensity on MRI predicts cognitive development in preterm infants","volume":"49","author":"Parikh","year":"2013","journal-title":"Pediatr. Neurol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0057","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.pediatrneurol.2020.01.011","article-title":"Antecedents of objectively diagnosed diffuse white matter abnormality in very preterm infants","volume":"106","author":"Parikh","year":"2020","journal-title":"Pediatr. Neurol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0058","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.jpeds.2020.01.034","article-title":"Objectively diagnosed diffuse white matter abnormality at term is an independent predictor of cognitive and language outcomes in infants born very preterm","volume":"220","author":"Parikh","year":"2020","journal-title":"J. Pediatr."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0059","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.pediatrneurol.2016.07.006","article-title":"Neuropathology associated with diffuse excessive high signal intensity abnormalities on magnetic resonance imaging in very preterm infants","volume":"65","author":"Parikh","year":"2016","journal-title":"Pediatr. Neurol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0060","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.jpeds.2020.11.058","article-title":"Perinatal risk and protective factors in the development of diffuse white matter abnormality on term-equivalent age magnetic resonance imaging in infants born very preterm","volume":"233","author":"Parikh","year":"2021","journal-title":"J. Pediatr."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0061","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1007\/s00401-007-0295-5","article-title":"Gray matter injury associated with periventricular leukomalacia in the premature infant","volume":"114","author":"Pierson","year":"2007","journal-title":"Acta Neuropathol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0062","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.neuroimage.2015.05.039","article-title":"Connectivity-based fixel enhancement: whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres","volume":"117","author":"Raffelt","year":"2015","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0063","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1136\/archdischild-2019-318207","article-title":"Diffuse excessive high signal intensity on term equivalent MRI does not predict disability: a systematic review and meta-analysis","volume":"106","author":"Rath","year":"2021","journal-title":"Arch. Dis. Child. Fetal Neonatal Ed."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0064","doi-asserted-by":"crossref","first-page":"e44074","DOI":"10.1371\/journal.pone.0044074","article-title":"Improved sensitivity to cerebral white matter abnormalities in Alzheimer's disease with spherical deconvolution based tractography","volume":"7","author":"Reijmer","year":"2012","journal-title":"PLoS One"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0065","doi-asserted-by":"crossref","first-page":"780","DOI":"10.1016\/j.neuroimage.2015.11.001","article-title":"Comparison of cortical folding measures for evaluation of developing human brain","volume":"125","author":"Shimony","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0066","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1111\/j.1651-2227.2009.01634.x","article-title":"White matter changes in extremely preterm infants, a population-based diffusion tensor imaging study","volume":"99","author":"Skiold","year":"2010","journal-title":"Acta Paediatr."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0067","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1016\/j.jpeds.2011.09.053","article-title":"Neonatal magnetic resonance imaging and outcome at age 30 months in extremely preterm infants","volume":"160","author":"Skiold","year":"2012","journal-title":"J. Pediatr."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0068","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1016\/j.neuroimage.2006.02.024","article-title":"Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data","volume":"31","author":"Smith","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0069","doi-asserted-by":"crossref","first-page":"31","DOI":"10.3389\/fnins.2013.00031","article-title":"A hitchhiker's guide to diffusion tensor imaging","volume":"7","author":"Soares","year":"2013","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0070","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1542\/peds.2006-2508","article-title":"Quantification of deep gray matter in preterm infants at term-equivalent age using manual volumetry of 3-tesla magnetic resonance images","volume":"119","author":"Srinivasan","year":"2007","journal-title":"Pediatrics"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0071","doi-asserted-by":"crossref","first-page":"e60729","DOI":"10.7554\/eLife.60729","article-title":"Maternal cortisol is associated with neonatal amygdala microstructure and connectivity in a sexually dimorphic manner","volume":"9","author":"Stoye","year":"2020","journal-title":"Elife"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0072","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1016\/j.neuroimage.2007.02.016","article-title":"Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution","volume":"35","author":"Tournier","year":"2007","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0073","doi-asserted-by":"crossref","first-page":"1176","DOI":"10.1016\/j.neuroimage.2004.07.037","article-title":"Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution","volume":"23","author":"Tournier","year":"2004","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0074","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2019.116137","article-title":"MRtrix3: a fast, flexible and open software framework for medical image processing and visualisation","volume":"202","author":"Tournier","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0075","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1016\/j.neuroimage.2008.05.002","article-title":"Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data","volume":"42","author":"Tournier","year":"2008","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0076","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1038\/s41390-021-01779-x","article-title":"Language function following preterm birth: prediction using machine learning","volume":"92","author":"Valavani","year":"2021","journal-title":"Pediatr. Res."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0077","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1038\/385313a0","article-title":"A tension-based theory of morphogenesis and compact wiring in the central nervous system","volume":"385","author":"Van Essen","year":"1997","journal-title":"Nature"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0078","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.pediatrneurol.2020.02.007","article-title":"Neonatal brain microstructure and machine-learning-based prediction of early language development in children born very preterm","volume":"108","author":"Vassar","year":"2020","journal-title":"Pediatr. Neurol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0079","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/S1474-4422(08)70294-1","article-title":"Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances","volume":"8","author":"Volpe","year":"2009","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0080","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.pediatrneurol.2017.05.013","article-title":"Confusions in nomenclature: \"periventricular leukomalacia\" and \"white matter injury\"-identical, distinct, or overlapping?","volume":"73","author":"Volpe","year":"2017","journal-title":"Pediatr. Neurol."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0081","doi-asserted-by":"crossref","first-page":"3590","DOI":"10.1093\/brain\/awr307","article-title":"Quantification of increased cellularity during inflammatory demyelination","volume":"134","author":"Wang","year":"2011","journal-title":"Brain"},{"key":"10.1016\/j.neuroimage.2022.119727_bib0082","doi-asserted-by":"crossref","first-page":"fcac056","DOI":"10.1093\/braincomms\/fcac056","article-title":"DNA methylation in relation to gestational age and brain dysmaturation in preterm infants","volume":"4","author":"Wheater","year":"2022","journal-title":"Brain Commun."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0083","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2019.101855","article-title":"White matter microstructural differences identified using multi-shell diffusion imaging in six-year-old children born very preterm","volume":"23","author":"Young","year":"2019","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.neuroimage.2022.119727_bib0084","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1016\/j.neuroimage.2012.03.072","article-title":"NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain","volume":"61","author":"Zhang","year":"2012","journal-title":"Neuroimage"}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811922008485?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811922008485?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T16:06:46Z","timestamp":1762358806000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811922008485"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":84,"alternative-id":["S1053811922008485"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2022.119727","relation":{},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Diffuse excessive high signal intensity in the preterm brain on advanced MRI represents widespread neuropathology","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2022.119727","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Author(s). Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"119727"}}