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Using the thalami as seeds and the cortical labels as targets, FSL library tools were used to generate probabilistic tracts. A Hierarchical Dirichlet Process algorithm was then used for clustering analysis. A radiologist qualitatively assessed the results of clustering. Quantitative analyses were also performed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>We summarized the demographic data and results of clustering with descriptive statistics. Linear regressions covarying for gestational age were used to compare groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In 17 of 20 TD neonates, we identified five connectivity\u2010determined clusters, which correlate with known thalamic nuclei and subnuclei. In four neonates with CHD we observed a spectrum of abnormalities including fewer and disorganized clusters or small supernumerary clusters (up to seven per thalamus). After covarying for differences in corrected gestational age (cGA), the fractional anisotropy (FA), volume, and normalized thalamic volume were significantly lower in CHD neonates (<jats:italic>P<\/jats:italic> &lt; 0.01).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusions<\/jats:title><jats:p>Using PTbTP clusters, correlating well with the location and connectivity of known thalamic nuclei, were identified in TD neonates. Differences in thalamic clustering outputs were identified in four neonates with CHD, raising concern for disordered thalamic connectivity. PTbTP is feasible in TD and CHD neonates. Preliminary findings suggest the prenatal origins of altered connectivity in CHD.<\/jats:p><jats:p><jats:bold>Level of Evidence:<\/jats:bold> 2<\/jats:p><jats:p><jats:bold>Technical Efficacy:<\/jats:bold> Stage 4<\/jats:p><jats:p>J. Magn. Reson. Imaging 2018;47:1626\u20131637.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.25875","type":"journal-article","created":{"date-parts":[[2017,10,28]],"date-time":"2017-10-28T13:32:35Z","timestamp":1509197555000},"page":"1626-1637","source":"Crossref","is-referenced-by-count":19,"title":["Probabilistic tractography\u2010based thalamic parcellation in healthy newborns and newborns with congenital heart disease"],"prefix":"10.1002","volume":"47","author":[{"given":"Camilo","family":"Jaimes","sequence":"first","affiliation":[{"name":"Department of Radiology Massachusetts General Hospital Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henry H.","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Cardiology Boston Children's Hospital Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Janet","family":"Soul","sequence":"additional","affiliation":[{"name":"Department of Neurology Boston Children's Hospital Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silvina","family":"Ferradal","sequence":"additional","affiliation":[{"name":"Fetal\u2010Neonatal Neuroimaging and Developmental Science Center Boston Massachusetts USA"},{"name":"Department of Medicine Boston Children's Hospital Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yogesh","family":"Rathi","sequence":"additional","affiliation":[{"name":"Laboratory of Mathematics in Imaging, Brigham and Women's Hospital Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Borjan","family":"Gagoski","sequence":"additional","affiliation":[{"name":"Fetal\u2010Neonatal Neuroimaging and Developmental Science Center Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jane W.","family":"Newburger","sequence":"additional","affiliation":[{"name":"Department of Cardiology Boston Children's Hospital Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P. 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