• Elizabeth Bartlett, Michael Shaw, Colleen Schwarz, Charles Feinberg, Christine DeLorenzo, Lauren B Krupp, and Leigh E Charvet.
• Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY.
• J Neuroimaging. 2019 Jan 1; 29 (1): 140-150.

Background And PurposePediatric-onset multiple sclerosis (POMS) is a demyelinating disorder with unique clinical challenges. A brief computer-administered cognitive screening battery measuring processing speed (Cogstate) and the Brief International Cognitive Assessment in MS (BICAMS) detect cognitive impairment in POMS. The neuroanatomic correlates of these deficits are incompletely understood. The purpose of this study is to define the neuroanatomic underpinnings of deficits identified with cognitive screening batteries in POMS.MethodsParticipants with POMS and age-matched healthy controls (HCs) were screened with Cogstate and BICAMS. Diffusion tensor imaging assessed region-wise and tractography-based fractional anisotropy (FA).ResultsThe POMS (n = 15) and HC (n = 21) groups were matched on age (mean ages 17.9 ± 3.2 vs. 17.8 ± 3.3 years, respectively) and on an estimate of general intellectual functioning. The Cogstate composite revealed significant slowing in POMS relative to HCs (P = .004), but the BICAMS composite did not significantly distinguish the groups (P = .10). The Cogstate composite showed moderate-to-strong correlations with regional FA (r = -.67 to -.82) and significantly associated with uncinate fasciculus FA following multiple comparisons correction (P = .002) in POMS. However, the BICAMS composite measure showed only weak-to-moderate correlations with FA in POMS (r = -.19 to -.57), with none surviving multiple comparisons correction.ConclusionsComputer-administered measures of cognitive processing are particularly sensitive in POMS and are closely linked to white matter FA.© 2018 by the American Society of Neuroimaging.

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