{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T14:29:58Z","timestamp":1769005798653,"version":"3.49.0"},"reference-count":90,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2020,12,5]],"date-time":"2020-12-05T00:00:00Z","timestamp":1607126400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["2020M3E5D9080788"],"award-info":[{"award-number":["2020M3E5D9080788"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["NRF-2020-R1F1A1048529"],"award-info":[{"award-number":["NRF-2020-R1F1A1048529"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002380","name":"Hanyang University","doi-asserted-by":"publisher","award":["HY-2018"],"award-info":[{"award-number":["HY-2018"]}],"id":[{"id":"10.13039\/501100002380","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1016\/j.nicl.2020.102528","type":"journal-article","created":{"date-parts":[[2020,12,8]],"date-time":"2020-12-08T08:32:14Z","timestamp":1607416334000},"page":"102528","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":11,"special_numbering":"C","title":["The cingulum in very preterm infants relates to language and social-emotional impairment at 2\u00a0years of term-equivalent age"],"prefix":"10.1016","volume":"29","author":[{"given":"Hyun Ju","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyeokjin","family":"Kwon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johanna Inhyang","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joo Young","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji Young","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"SungKyu","family":"Bang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jong-Min","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.nicl.2020.102528_b0005","doi-asserted-by":"crossref","first-page":"3024","DOI":"10.1167\/iovs.18-25849","article-title":"Diffusion tensor imaging analysis of white matter microstructural integrity in infants with retinopathy of prematurity","volume":"60","author":"Ahn","year":"2019","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.nicl.2020.102528_b0010","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.neuroimage.2015.12.026","article-title":"Probabilistic maps of the white matter tracts with known associated functions on the neonatal brain atlas: application to evaluate longitudinal developmental trajectories in term-born and preterm-born infants","volume":"128","author":"Akazawa","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0015","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1089\/brain.2011.0071","article-title":"Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains","volume":"1","author":"Alexander","year":"2011","journal-title":"Brain Connect."},{"key":"10.1016\/j.nicl.2020.102528_b0020","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.compbiomed.2015.10.008","article-title":"Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification","volume":"67","author":"Algamal","year":"2015","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.nicl.2020.102528_b0025","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.media.2007.06.004","article-title":"Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain","volume":"12","author":"Avants","year":"2008","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.nicl.2020.102528_b0030","article-title":"Sex matters: A multivariate pattern analysis of sex-and gender-related neuroanatomical differences in cis-and transgender individuals using structural magnetic resonance imaging","author":"Baldinger-Melich","year":"2019","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2020.102528_b0035","doi-asserted-by":"crossref","first-page":"1016","DOI":"10.1093\/cercor\/bhr176","article-title":"The effect of preterm birth on thalamic and cortical development","volume":"22","author":"Ball","year":"2012","journal-title":"Cereb Cortex"},{"key":"10.1016\/j.nicl.2020.102528_b0040","unstructured":"Bayley, N. 2009. Bayley-III: Bayley Scales of infant and toddler development. Giunti OS."},{"key":"10.1016\/j.nicl.2020.102528_b0045","doi-asserted-by":"crossref","first-page":"305","DOI":"10.3389\/fnhum.2019.00305","article-title":"Prediction of gait impairment in toddlers born preterm from near-term brain microstructure assessed with DTI, using exhaustive feature selection and cross-validation","volume":"13","author":"Cahill-Rowley","year":"2019","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.nicl.2020.102528_b0050","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.neuroimage.2017.02.026","article-title":"White matter alterations to cingulum and fornix following very preterm birth and their relationship with cognitive functions","volume":"150","author":"Caldinelli","year":"2017","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0055","doi-asserted-by":"crossref","first-page":"22","DOI":"10.3389\/fninf.2011.00022","article-title":"High dimensional classification of structural MRI Alzheimer\u2019s disease data based on large scale regularization","volume":"5","author":"Casanova","year":"2011","journal-title":"Front. Neuroinf."},{"key":"10.1016\/j.nicl.2020.102528_b0060","doi-asserted-by":"crossref","unstructured":"Cheong, J.L.Y., Anderson, P.J., Burnett, A.C., Roberts, G., Davis, N., Hickey, L., Carse, E., Doyle, L.W., Victorian Infant Collaborative Study, G. 2017. Changing Neurodevelopment at 8 years in children born extremely preterm since the 1990s. Pediatrics 139.","DOI":"10.1542\/peds.2016-4086"},{"key":"10.1016\/j.nicl.2020.102528_b0065","first-page":"185","article-title":"Correlating early motor skills to white matter abnormalities in preterm infants using diffusion tensor imaging","volume":"9","author":"Coker-Bolt","year":"2016","journal-title":"J. Pediatr. Rehabil. Med."},{"key":"10.1016\/j.nicl.2020.102528_b0070","article-title":"White matter microstructure correlates with mathematics but not word reading performance in 13-year-old children born very preterm and full-term","volume":"24","author":"Collins","year":"2019","journal-title":"NeuroImage: Clinical"},{"key":"10.1016\/j.nicl.2020.102528_b0075","doi-asserted-by":"crossref","first-page":"343","DOI":"10.3174\/ajnr.A4997","article-title":"Microstructure of the default mode network in preterm infants","volume":"38","author":"Cui","year":"2017","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.nicl.2020.102528_b0080","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.nicl.2017.08.005","article-title":"White matter microstructure of 6-year old children born preterm and full term","volume":"16","author":"Dodson","year":"2017","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.nicl.2020.102528_b0085","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1002\/hbm.20363","article-title":"Asynchrony of the early maturation of white matter bundles in healthy infants: quantitative landmarks revealed noninvasively by diffusion tensor imaging","volume":"29","author":"Dubois","year":"2008","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2020.102528_b0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2018.11.006","article-title":"White matter injury predicts disrupted functional connectivity and microstructure in very preterm born neonates","volume":"21","author":"Duerden","year":"2019","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.nicl.2020.102528_b0095","doi-asserted-by":"crossref","first-page":"10612","DOI":"10.1523\/JNEUROSCI.5413-09.2010","article-title":"Describing the brain in autism in five dimensions\u2014magnetic resonance imaging-assisted diagnosis of autism spectrum disorder using a multiparameter classification approach","volume":"30","author":"Ecker","year":"2010","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2020.102528_b0100","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.neuroimage.2009.08.024","article-title":"Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach","volume":"49","author":"Ecker","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0105","doi-asserted-by":"crossref","DOI":"10.1542\/peds.2019-1982","article-title":"Predicting school-aged cognitive impairment in children born very preterm","volume":"145","author":"Erdei","year":"2020","journal-title":"Pediatrics"},{"key":"10.1016\/j.nicl.2020.102528_b0110","doi-asserted-by":"crossref","first-page":"290","DOI":"10.3174\/ajnr.A1363","article-title":"Temporal and spatial development of axonal maturation and myelination of white matter in the developing brain","volume":"30","author":"Gao","year":"2009","journal-title":"Am. J. Neuroradiol."},{"key":"10.1016\/j.nicl.2020.102528_b0115","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.neuroimage.2012.03.057","article-title":"Quantitative tract-based white matter development from birth to age 2years","volume":"61","author":"Geng","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0120","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.neuroimage.2019.02.060","article-title":"White matter connectomes at birth accurately predict cognitive abilities at age 2","volume":"192","author":"Girault","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0125","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.nicl.2018.01.032","article-title":"Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework","volume":"18","author":"He","year":"2018","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.nicl.2020.102528_b0130","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1080\/00401706.1970.10488634","article-title":"Ridge regression: Biased estimation for nonorthogonal problems","volume":"12","author":"Hoerl","year":"1970","journal-title":"Technometrics"},{"key":"10.1016\/j.nicl.2020.102528_b0135","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.nicl.2017.10.006","article-title":"White matter alterations and their associations with motor function in young adults born preterm with very low birth weight","volume":"17","author":"Hollund","year":"2018","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.nicl.2020.102528_b0140","doi-asserted-by":"crossref","first-page":"2366","DOI":"10.1016\/j.neuroimage.2009.10.022","article-title":"B-value dependence of DTI quantitation and sensitivity in detecting neural tissue changes","volume":"49","author":"Hui","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0145","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1002\/hbm.23031","article-title":"White matter alterations of the corticospinal tract in adults born very preterm and\/or with very low birth weight","volume":"37","author":"Jurcoane","year":"2016","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2020.102528_b0150","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1081\/SAC-120017499","article-title":"Performance of some new ridge regression estimators","volume":"32","author":"Kibria","year":"2003","journal-title":"Commun. Statistics Simul. Comput."},{"key":"10.1016\/j.nicl.2020.102528_b0155","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1097\/WNR.0b013e328325a8f9","article-title":"Diffusion tensor MRI of the corpus callosum and cognitive function in adults born preterm","volume":"20","author":"Kontis","year":"2009","journal-title":"NeuroReport"},{"key":"10.1016\/j.nicl.2020.102528_b0160","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.neuroimage.2014.12.032","article-title":"Adaptive mechanisms of developing brain: cerebral lateralization in the prematurely-born","volume":"108","author":"Kwon","year":"2015","journal-title":"Neuroimage"},{"issue":"Suppl. 4","key":"10.1016\/j.nicl.2020.102528_b0165","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1111\/dmcn.13043","article-title":"Functional magnetic resonance connectivity studies in infants born preterm: suggestions of proximate and long-lasting changes in language organization","volume":"58","author":"Kwon","year":"2016","journal-title":"Dev. Med. Child. Neurol."},{"key":"10.1016\/j.nicl.2020.102528_b0170","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.neuroimage.2003.09.027","article-title":"Morphological classification of brains via high-dimensional shape transformations and machine learning methods","volume":"21","author":"Lao","year":"2004","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0175","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1038\/s41390-019-0461-1","article-title":"Altered neonatal white and gray matter microstructure is associated with neurodevelopmental impairments in very preterm infants with high-grade brain injury","volume":"86","author":"Lean","year":"2019","journal-title":"Pediatr. Res."},{"key":"10.1016\/j.nicl.2020.102528_b0180","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1159\/000499487","article-title":"bronchopulmonary dysplasia is associated with altered brain volumes and white matter microstructure in preterm infants","volume":"116","author":"Lee","year":"2019","journal-title":"Neonatology"},{"key":"10.1016\/j.nicl.2020.102528_b0185","doi-asserted-by":"crossref","first-page":"2643","DOI":"10.1002\/hbm.22357","article-title":"Multivariate pattern analysis of DTI reveals differential white matter in individuals with obsessive-compulsive disorder","volume":"35","author":"Li","year":"2014","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2020.102528_b0190","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1111\/dmcn.12618","article-title":"Fractional anisotropy alterations in individuals born preterm: a diffusion tensor imaging meta-analysis","volume":"57","author":"Li","year":"2015","journal-title":"Dev. Med. Child. Neurol."},{"key":"10.1016\/j.nicl.2020.102528_b0195","doi-asserted-by":"crossref","first-page":"3801","DOI":"10.1109\/TIP.2016.2577382","article-title":"Correlated logistic model with elastic net regularization for multilabel image classification","volume":"25","author":"Li","year":"2016","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.nicl.2020.102528_b0200","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1136\/archdischild-2017-313414","article-title":"Cognitive trajectories from infancy to early adulthood following birth before 26 weeks of gestation: A prospective, population-based cohort study","volume":"103","author":"Linsell","year":"2018","journal-title":"Arch. Dis. Child"},{"key":"10.1016\/j.nicl.2020.102528_b0205","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1001\/jamapediatrics.2015.2175","article-title":"Prognostic factors for poor cognitive development in children born very preterm or with very low birth weight: A systematic review","volume":"169","author":"Linsell","year":"2015","journal-title":"JAMA Pediatr."},{"key":"10.1016\/j.nicl.2020.102528_b0210","article-title":"Multivariate models of brain volume for identification of children and adolescents with fetal alcohol spectrum disorder","author":"Little","year":"2019","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2020.102528_b0215","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1016\/j.neuroimage.2012.01.055","article-title":"Ensemble sparse classification of Alzheimer's disease","volume":"60","author":"Liu","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0220","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1016\/j.neuroimage.2005.06.070","article-title":"Classifying brain states and determining the discriminating activation patterns: support vector machine on functional MRI data","volume":"28","author":"Mourao-Miranda","year":"2005","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0225","doi-asserted-by":"crossref","first-page":"808","DOI":"10.1016\/j.nicl.2018.09.020","article-title":"White matter microstructure is associated with language in children born very preterm","volume":"20","author":"Murner-Lavanchy","year":"2018","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.nicl.2020.102528_b0230","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.neuroimage.2015.08.044","article-title":"White matter abnormalities and impaired attention abilities in children born very preterm","volume":"124","author":"Murray","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0235","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.1016\/j.neuroimage.2010.03.049","article-title":"Functional connectivity to a right hemisphere language center in prematurely born adolescents","volume":"51","author":"Myers","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0240","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/hbm.1058","article-title":"Nonparametric permutation tests for functional neuroimaging: A primer with examples","volume":"15","author":"Nichols","year":"2002","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2020.102528_b0245","doi-asserted-by":"crossref","first-page":"3781","DOI":"10.1093\/brain\/aws276","article-title":"Interhemispheric temporal lobe connectivity predicts language impairment in adolescents born preterm","volume":"135","author":"Northam","year":"2012","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2020.102528_b0250","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.neuroimage.2011.01.051","article-title":"Multi-contrast human neonatal brain atlas: application to normal neonate development analysis","volume":"56","author":"Oishi","year":"2011","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0255","first-page":"1833","article-title":"Permutation tests for studying classifier performance","volume":"11","author":"Ojala","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.nicl.2020.102528_b0260","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.nicl.2018.01.003","article-title":"Fixel-based analysis reveals alterations is brain microstructure and macrostructure of preterm-born infants at term equivalent age","volume":"18","author":"Pannek","year":"2018","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.nicl.2020.102528_b0265","doi-asserted-by":"crossref","first-page":"1344","DOI":"10.1093\/brain\/awn062","article-title":"Cerebellar growth and behavioural & neuropsychological outcome in preterm adolescents","volume":"131","author":"Parker","year":"2008","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2020.102528_b0270","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.1016\/j.neuroimage.2004.02.038","article-title":"Diffusion tensor imaging: serial quantitation of white matter tract maturity in premature newborns","volume":"22","author":"Partridge","year":"2004","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0275","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.mri.2018.03.004","article-title":"Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for neurite orientation dispersion and density imaging using AMICO","volume":"50","author":"Parvathaneni","year":"2018","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.nicl.2020.102528_b0280","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1016\/j.neuroimage.2017.04.057","article-title":"A tract-specific approach to assessing white matter in preterm infants","volume":"157","author":"Pecheva","year":"2017","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0285","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.nicl.2020.102528_b0290","doi-asserted-by":"crossref","first-page":"S199","DOI":"10.1016\/j.neuroimage.2008.11.007","article-title":"Machine learning classifiers and fMRI: A tutorial overview","volume":"45","author":"Pereira","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0295","doi-asserted-by":"crossref","first-page":"841","DOI":"10.3174\/ajnr.A3513","article-title":"Optimal timing of cerebral MRI in preterm infants to predict long-term neurodevelopmental outcome: A systematic review","volume":"35","author":"Plaisier","year":"2014","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.nicl.2020.102528_b0300","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.psyneuen.2016.07.010","article-title":"Pain-related stress in the Neonatal Intensive Care Unit and salivary cortisol reactivity to socio-emotional stress in 3-month-old very preterm infants","volume":"72","author":"Provenzi","year":"2016","journal-title":"Psychoneuroendocrinology"},{"key":"10.1016\/j.nicl.2020.102528_b0305","series-title":"Proceedings of the 24th international conference on Machine learning","first-page":"759","article-title":"Self-taught learning: transfer learning from unlabeled data","author":"Raina","year":"2007"},{"key":"10.1016\/j.nicl.2020.102528_b0310","doi-asserted-by":"crossref","first-page":"4322","DOI":"10.1002\/hbm.23618","article-title":"Complementary cortical gray and white matter developmental patterns in healthy, preterm neonates","volume":"38","author":"Rajagopalan","year":"2017","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2020.102528_b0315","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1186\/s11689-018-9253-x","article-title":"Aberrant structural and functional connectivity and neurodevelopmental impairment in preterm children","volume":"10","author":"Rogers","year":"2018","journal-title":"J. Neurodev. Disord"},{"key":"10.1016\/j.nicl.2020.102528_b0320","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1038\/pr.2015.172","article-title":"Regional white matter development in very preterm infants: perinatal predictors and early developmental outcomes","volume":"79","author":"Rogers","year":"2016","journal-title":"Pediatr. Res."},{"key":"10.1016\/j.nicl.2020.102528_b0325","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.jaac.2016.11.005","article-title":"Neonatal amygdala functional connectivity at rest in healthy and preterm infants and early internalizing symptoms","volume":"56","author":"Rogers","year":"2017","journal-title":"J. Am. Acad. Child Adolesc. Psychiatry"},{"key":"10.1016\/j.nicl.2020.102528_b0330","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1038\/pr.2015.157","article-title":"Neonatal brain microstructure correlates of neurodevelopment and gait in preterm children 18\u201322 mo of age: An MRI and DTI study","volume":"78","author":"Rose","year":"2015","journal-title":"Pediatr. Res."},{"key":"10.1016\/j.nicl.2020.102528_b0335","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.neuroimage.2013.09.053","article-title":"Brain microstructural development at near-term age in very-low-birth-weight preterm infants: An atlas-based diffusion imaging study","volume":"86","author":"Rose","year":"2014","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0340","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.nicl.2016.01.016","article-title":"Language at rest: A longitudinal study of intrinsic functional connectivity in preterm children","volume":"11","author":"Rowlands","year":"2016","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.nicl.2020.102528_b0345","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1016\/j.neuroimage.2010.02.040","article-title":"Sparse logistic regression for whole-brain classification of fMRI data","volume":"51","author":"Ryali","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0350","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1016\/j.earlhumdev.2010.08.014","article-title":"Does preterm birth increase a child's risk for language impairment?","volume":"86","author":"Sansavini","year":"2010","journal-title":"Early Human Dev."},{"key":"10.1016\/j.nicl.2020.102528_b0355","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1016\/j.nicl.2017.11.023","article-title":"Prediction of cognitive and motor development in preterm children using exhaustive feature selection and cross-validation of near-term white matter microstructure","volume":"17","author":"Schadl","year":"2018","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.nicl.2020.102528_b0360","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1016\/j.nicl.2016.08.010","article-title":"Prenatal stress alters amygdala functional connectivity in preterm neonates","volume":"12","author":"Scheinost","year":"2016","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.nicl.2020.102528_b0365","doi-asserted-by":"crossref","unstructured":"Seabold, S., Perktold, J., 2010. Statsmodels: Econometric and statistical modeling with python. Proceedings of the 9th Python in Science Conference. Scipy, pp. 61.","DOI":"10.25080\/Majora-92bf1922-011"},{"key":"10.1016\/j.nicl.2020.102528_b0370","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1001\/jamapediatrics.2016.1210","article-title":"Neurodevelopmental Outcomes among extremely preterm infants 6.5 years after active perinatal care in Sweden","volume":"170","author":"Serenius","year":"2016","journal-title":"JAMA Pediatr."},{"key":"10.1016\/j.nicl.2020.102528_b0375","series-title":"International Workshop on Multimodal Brain Image Analysis","first-page":"27","article-title":"Identifying neuroimaging and proteomic biomarkers for MCI and AD via the elastic net","author":"Shen","year":"2011"},{"key":"10.1016\/j.nicl.2020.102528_b0380","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1016\/j.biopsych.2015.06.029","article-title":"Diffusion tensor imaging provides evidence of possible axonal overconnectivity in frontal lobes in autism spectrum disorder toddlers","volume":"79","author":"Solso","year":"2016","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.nicl.2020.102528_b0385","article-title":"Language outcome related to brain structures in school-aged preterm children: A systematic review","volume":"13","author":"Stipdonk","year":"2018","journal-title":"PLoS One"},{"key":"10.1016\/j.nicl.2020.102528_b0390","doi-asserted-by":"crossref","DOI":"10.1002\/hbm.25095","article-title":"Automated classification of depression from structural brain measures across two independent community-based cohorts","author":"Stolicyn","year":"2020","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2020.102528_b0395","doi-asserted-by":"crossref","first-page":"4153","DOI":"10.1007\/s00330-017-4820-1","article-title":"Identifying the white matter impairments among ART-na\u00efve HIV patients: a multivariate pattern analysis of DTI data","volume":"27","author":"Tang","year":"2017","journal-title":"Eur. Radiol."},{"key":"10.1016\/j.nicl.2020.102528_b0400","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J. Roy. Stat. Soc. Ser. B (Methodol.)"},{"key":"10.1016\/j.nicl.2020.102528_b0405","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1007\/s00330-017-5060-0","article-title":"The effects of mild germinal matrix-intraventricular haemorrhage on the developmental white matter microstructure of preterm neonates: A DTI study","volume":"28","author":"Tortora","year":"2018","journal-title":"Eur. Radiol."},{"key":"10.1016\/j.nicl.2020.102528_b0410","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.1109\/TMI.2010.2046908","article-title":"N4ITK: Improved N3 bias correction","volume":"29","author":"Tustison","year":"2010","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.nicl.2020.102528_b0415","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1001\/jamapediatrics.2017.5323","article-title":"Cognitive outcomes of children born extremely or very preterm since the 1990s and associated risk factors: A meta-analysis and meta-regression","volume":"172","author":"Twilhaar","year":"2018","journal-title":"JAMA Pediatr."},{"key":"10.1016\/j.nicl.2020.102528_b0420","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1016\/j.neuroimage.2010.07.002","article-title":"Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach","volume":"53","author":"Vounou","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2020.102528_b0425","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1002\/hbm.21042","article-title":"Abnormal white matter integrity in young children with autism","volume":"32","author":"Weinstein","year":"2011","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2020.102528_b0430","doi-asserted-by":"crossref","first-page":"167","DOI":"10.4310\/SII.2013.v6.n2.a1","article-title":"A cocktail algorithm for solving the elastic net penalized Cox\u2019s regression in high dimensions","volume":"6","author":"Yang","year":"2013","journal-title":"Statistics Interf."},{"key":"10.1016\/j.nicl.2020.102528_b0435","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/s00247-012-2496-x","article-title":"Diffusion tensor imaging of normal brain development","volume":"43","author":"Yoshida","year":"2013","journal-title":"Pediatr. Radiol."},{"key":"10.1016\/j.nicl.2020.102528_b0440","first-page":"4094","article-title":"Longitudinal study of white matter development and outcomes in children born very preterm","volume":"27","author":"Young","year":"2017","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2020.102528_b0445","doi-asserted-by":"crossref","first-page":"2129","DOI":"10.1007\/s00429-018-1614-4","article-title":"Altered white matter development in children born very preterm","volume":"223","author":"Young","year":"2018","journal-title":"Brain Struct. Funct."},{"key":"10.1016\/j.nicl.2020.102528_b0450","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Statistical Soc. Ser. B Statistical Methodol."}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S221315822030365X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S221315822030365X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,5,10]],"date-time":"2025-05-10T04:31:41Z","timestamp":1746851501000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S221315822030365X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":90,"alternative-id":["S221315822030365X"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2020.102528","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"The cingulum in very preterm infants relates to language and social-emotional impairment at 2\u00a0years of term-equivalent age","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2020.102528","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"102528"}}