{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T19:03:58Z","timestamp":1781636638535,"version":"3.54.5"},"reference-count":81,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T00:00:00Z","timestamp":1659398400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"abstract":"<jats:p>Hypoxic\u2013ischemic encephalopathy (HIE) is the most common cause of neonatal acquired brain injury. Although conventional MRI may predict neurodevelopmental outcomes, accurate prognostication remains difficult. As diffusion tensor imaging (DTI) may provide an additional diagnostic and prognostic value over conventional MRI, we aimed to develop a composite DTI (cDTI) score to relate to short-term neurological function. Sixty prospective neonates treated with therapeutic hypothermia (TH) for HIE were evaluated with DTI, with a voxel size of 1 \u00d7 1 \u00d7 2 mm. Fractional anisotropy (FA) and mean diffusivity (MD) from 100 neuroanatomical regions (FA\/MD <jats:sup>*<\/jats:sup>100 = 200 DTI parameters in total) were quantified using an atlas-based image parcellation technique. A least absolute shrinkage and selection operator (LASSO) regression was applied to the DTI parameters to generate the cDTI score. Time to full oral nutrition [short-term oral feeding (STO) score] was used as a measure of short-term neurological function and was correlated with extracted DTI features. Seventeen DTI parameters were selected with LASSO and built into the final unbiased regression model. The selected factors included FA or MD values of the limbic structures, the corticospinal tract, and the frontotemporal cortices. While the cDTI score strongly correlated with the STO score (rho = 0.83, <jats:italic>p<\/jats:italic> = 2.8 \u00d7 10<jats:sup>\u221216<\/jats:sup>), it only weakly correlated with the Sarnat score (rho = 0.27, <jats:italic>p<\/jats:italic> = 0.035) and moderately with the NICHD-NRN neuroimaging score (rho = 0.43, <jats:italic>p<\/jats:italic> = 6.6 \u00d7 10<jats:sup>\u221204<\/jats:sup>). In contrast to the cDTI score, the NICHD-NRN score only moderately correlated with the STO score (rho = 0.37, <jats:italic>p<\/jats:italic> = 0.0037). Using a mixed-model analysis, interleukin-10 at admission to the NICU (p = 1.5 \u00d7 10<jats:sup>\u221213<\/jats:sup>) and tau protein at the end of TH\/rewarming (<jats:italic>p<\/jats:italic> = 0.036) and after rewarming (<jats:italic>p<\/jats:italic> = 0.0015) were significantly associated with higher cDTI scores, suggesting that high cDTI scores were related to the intensity of the early inflammatory response and the severity of neuronal impairment after TH. In conclusion, a data-driven unbiased approach was applied to identify anatomical structures associated with some aspects of neurological function of HIE neonates after cooling and to build a cDTI score, which was correlated with the severity of short-term neurological functions.<\/jats:p>","DOI":"10.3389\/fnins.2022.931360","type":"journal-article","created":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T06:27:26Z","timestamp":1659421646000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Development of a composite diffusion tensor imaging score correlating with short-term neurological status in neonatal hypoxic\u2013ischemic encephalopathy"],"prefix":"10.3389","volume":"16","author":[{"given":"Kengo","family":"Onda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eva","family":"Catenaccio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jill","family":"Chotiyanonta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raul","family":"Chavez-Valdez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Avner","family":"Meoded","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruno P.","family":"Soares","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aylin","family":"Tekes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harisa","family":"Spahic","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah C.","family":"Miller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah-Jane","family":"Parker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charlamaine","family":"Parkinson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dhananjay M.","family":"Vaidya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ernest M.","family":"Graham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carl E.","family":"Stafstrom","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allen D.","family":"Everett","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frances J.","family":"Northington","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenichi","family":"Oishi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,8,2]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","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":"B2","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1148\/radiol.11110213","article-title":"MR imaging and outcome of term neonates with perinatal asphyxia: value of diffusion-weighted MR imaging and (1)H MR spectroscopy","volume":"261","author":"Alderliesten","year":"2011","journal-title":"Radiology"},{"key":"B3","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.nic.2006.02.006","article-title":"Comparison of diffusion tensor imaging measurements at 3.0 T versus 1.5 T with and without parallel imaging","volume":"16","author":"Alexander","year":"2006","journal-title":"Neuroimaging Clin. 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