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A dilated convolutional neural network combined with a relational network (dilated CNN\u2009+\u2009RN) was trained to reason the nonlinear relationship between \u201cdilated CNN features of language network\u201d and \u201cclinically acquired language score\u201d. Three\u2010fold cross\u2010validation was then used to compare the Pearson correlation and mean absolute error (MAE) between dilated CNN\u2009+\u2009RN\u2010predicted and actual language scores. The dilated CNN\u2009+\u2009RN outperformed other methods providing the most significant correlation between predicted and actual scores (i.e., Pearson's R\/p\u2010value: 1.00\/&lt;.001 and .99\/&lt;.001 for expressive and receptive language scores, respectively) and yielding MAE: 0.28 and 0.28 for the same scores. The strength of the relationship suggests elevated probability in the prediction of both expressive and receptive language scores (i.e., 1.00 and 1.00, respectively). Specifically, sparse connectivity not only within the right precentral gyrus but also involving the right caudate had the strongest relationship between deficit in both the expressive and receptive language domains. Subsequent subgroup analyses inferred that the effectiveness of the dilated CNN\u2009+\u2009RN\u2010based prediction of language score(s) was independent of time interval (between MRI and language assessment) and age of MRI, suggesting that the dilated CNN\u2009+\u2009RN using psychometry\u2010driven diffusion tractography connectome may be useful for prediction of the presence of language disorder, and possibly provide a better understanding of the neurological mechanisms of language deficits in young children.<\/jats:p>","DOI":"10.1002\/hbm.25437","type":"journal-article","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T08:52:09Z","timestamp":1620204729000},"page":"3326-3338","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Deep reasoning neural network analysis to predict language deficits from psychometry\u2010driven DWI connectome of young children with persistent language concerns"],"prefix":"10.1002","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4498-0939","authenticated-orcid":false,"given":"Jeong\u2010Won","family":"Jeong","sequence":"first","affiliation":[{"name":"Departments of Pediatrics Wayne State University  Detroit Michigan USA"},{"name":"Neurology Wayne State University  Detroit Michigan USA"},{"name":"Translational Neuroscience Program Wayne State University  Detroit Michigan USA"},{"name":"Translational Imaging Laboratory Children's Hospital of Michigan  Detroit Michigan USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soumyanil","family":"Banerjee","sequence":"additional","affiliation":[{"name":"Computer Science Wayne State University  Detroit Michigan USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min\u2010Hee","family":"Lee","sequence":"additional","affiliation":[{"name":"Departments of Pediatrics Wayne State University  Detroit Michigan USA"},{"name":"Translational Imaging Laboratory Children's Hospital of Michigan  Detroit Michigan USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nolan","family":"O'Hara","sequence":"additional","affiliation":[{"name":"Translational Neuroscience Program Wayne State University  Detroit Michigan USA"},{"name":"Translational Imaging Laboratory Children's Hospital of Michigan  Detroit Michigan USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Behen","sequence":"additional","affiliation":[{"name":"Departments of Pediatrics Wayne State University  Detroit Michigan USA"},{"name":"Neurology Wayne State University  Detroit Michigan USA"},{"name":"Translational Imaging Laboratory Children's Hospital of Michigan  Detroit Michigan USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5067-5554","authenticated-orcid":false,"given":"Csaba","family":"Juh\u00e1sz","sequence":"additional","affiliation":[{"name":"Departments of Pediatrics Wayne State University  Detroit Michigan USA"},{"name":"Neurology Wayne State University  Detroit Michigan USA"},{"name":"Translational Neuroscience Program Wayne State University  Detroit Michigan USA"},{"name":"Translational Imaging Laboratory Children's Hospital of Michigan  Detroit Michigan USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Dong","sequence":"additional","affiliation":[{"name":"Computer Science Wayne State University  Detroit Michigan USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,5,5]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0173(97)00053-2"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1053-8119(03)00336-7"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/epi.14661"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bandl.2011.10.006"},{"key":"e_1_2_8_6_1","doi-asserted-by":"crossref","unstructured":"Banerjee S Dong M Lee M. 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