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In this study, we sought to replicate and extend these findings in a military medical environment. We expected that metrics from the multimodal Fusion n\u2010Back test would successfully distinguish chronic mTBI participants from controls, particularly eye movement metrics from the more cognitively challenging \u201c1\u2010Back\u201d subtest.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We compared performance of participants with chronic mTBI (<jats:italic>n<\/jats:italic>\u00a0=\u00a046) and controls (<jats:italic>n<\/jats:italic>\u00a0=\u00a033) on the Fusion n\u2010Back test and a battery of conventional neuropsychological tests. Additionally, we examined test reliability and the impact of potential confounds to neurocognitive assessment.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Our results supported hypotheses; Fusion 1\u2010Back metrics were successful in multimodal (saccadic and manual) classification of chronic mTBI versus control. In contrast, conventional neuropsychological measures could not distinguish these groups. Additional findings demonstrated the reliability of Fusion n\u2010Back test metrics and provided evidence that saccadic metrics are resistant to confounding influences of age, intelligence, and psychiatric symptoms.<\/jats:p><\/jats:sec><jats:sec><jats:title>Interpretation<\/jats:title><jats:p>The Fusion n\u2010Back test could provide advantages in differential diagnosis for complex brain injury populations. Additionally, the rapid administration of this test could be valuable for screening patients in clinical settings where longer test batteries are not feasible.<\/jats:p><\/jats:sec>","DOI":"10.1002\/acn3.51020","type":"journal-article","created":{"date-parts":[[2020,3,24]],"date-time":"2020-03-24T00:44:12Z","timestamp":1585010652000},"page":"507-516","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Clinical validation of an optimized multimodal neurocognitive assessment of chronic mild TBI"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9381-7578","authenticated-orcid":false,"given":"Mark L.","family":"Ettenhofer","sequence":"first","affiliation":[{"name":"Uniformed Services University of the Health Sciences Bethesda Maryland"},{"name":"Defense and Veterans Brain Injury Center Silver Spring Maryland"},{"name":"Naval Medical Center San Diego San Diego California"},{"name":"University of California San Diego California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1636-9641","authenticated-orcid":false,"given":"Sarah I.","family":"Gimbel","sequence":"additional","affiliation":[{"name":"Naval Medical Center San Diego San Diego California"},{"name":"General Dynamics Information Technology Falls Church Virginia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evelyn","family":"Cordero","sequence":"additional","affiliation":[{"name":"Naval Medical Center San Diego San Diego California"},{"name":"Henry M. 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