Brief Computerized Measures of Information Processing Speed are Sensitive to Multiple Sclerosis across the Lifespan M. Shaw1, C. Schwarz1, L.B. Krupp1,

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Brief Computerized Measures of Information Processing Speed are Sensitive to Multiple Sclerosis across the Lifespan M. Shaw1, C. Schwarz1, L.B. Krupp1, J. Lewine2, A. Schembri3, B. Harel3, L.E. Charvet1 1NYU Department of Neurology; 2The Mind Research Network; 3Cogstate Ltd. Are our samples matched in terms of demo. Objective Figure 1: Stills of Computerized Measures 1A. Cogstate Detection Task 1B. Interhemispheric Integration Task As seen in the following graphs (Figure 2), regressions predict IIT and Cogstate scores to be most consistent while predicting deficits, with the HC group performed at expected for a healthy population (with average results falling in line with average values for age group). To measure two computer-based cognitive processing speed measures, Cogstate information processing speed or IPS, interhemispheric integration time or IIT, and compare them to the standard Symbol Digit Modalities Test (SDMT) in pediatric- and adult-onset multiple sclerosis (MS). 1A. Background Cognitive impairment is a significant symptom directly affecting the lives of more than half of all MS patients. Measures that may be able to detect impairment, even a minimal amount, are needed to meet the clinical need presented. The SDMT, a brief 90 second measure, is often used a screen for cognitive impairment as well as an outcome measure. Computerized measures offer more precise and sensitive measurement. The Cogstate Brief Battery is widely-used assessment that includes measures of processing speed. Interhemispheric integration time (IIT) has become of interest to researchers and clinicians of MS as the corpus callosum (CC), the largest white matter structure in the brain that mediates interhemispheric transfer, has been implicated in cases of cognitive impairment. Since MS is a neurodegenerative disease that targets white matter, the CC is a structure monitored by clinicians through radiological scans. 2A: 1B. 2B: 2C: Methods Adult- and pediatric-onset MS (n=36, RRMS=32, SPMS=4) participants were compared to healthy controls (n=30). Analyses were adjusted for age using normative data. Results 1A. 1B. Both groups were administered the SDMT, the Cogstate Brief Battery, and the IIT Task. The computerized tasks, but not SDMT, significantly differed between the MS and HC groups. (Table 2) Additionally impairment rates were compared between the adult and healthy control samples for the SDMT and Cogstate Brief Battery. (Table 3) Table 1: Demographics and Clinical Characteristics Characteristics MS Patients Healthy Controls Gender (% Female) 69.4 63.3 Age (Years) 31.4±16.5 18.3±6.0 Education (Years) 13.2±2.7 12.1±5.2 WRAT Standard Score 101.6±11.3 108.3±9.2 EDSS (Median) 2 - Conclusion Table 2: Differentiating between Multiple Sclerosis and Healthy Controls Measure MS (n=36) HC (n=30) P value SDMT (z-score) -0.30±1.10 0.13±1.11 0.3 Cogstate (z-score) -1.25±1.20 -0.55±1.01 0.015* IIT (milliseconds) 462±14 387±11 0.021* Computerized processing speed measures are more sensitive in both pediatric and adult-onset MS than the SDMT. Adult and pediatric impairment rates are more consistent with published values when detected with the use of computerized measures. All participants were administered the SDMT along with the Cogstate Detection and Identification tests (taken together as a composite score), and an experimental task measuring interhemispheric integration time (IIT). The Cogstate tasks present cognitive tasks in the form of a card deck. The detection task acts as a simple reaction time task evaluating motoric response speed to a simple stimulus. The identification task is a choice reaction time task, requiring subjects to differentiate between two card colors as quickly as possible. The IIT task required subjects to indicate detection of a stimulus presented in either the left or right visual field via a response with the contralateral hand. The SDMT and Cogstate IPS composite score were converted to age-adjusted z-scores for analyses, with impairment defined as a z-score greater than -1.5. References Table 3: Impairment rates across the lifespan POMS Sample: MS Patients Healthy Controls SDMT 0% Cogstate 50.0% 23.1% Adult Sample: MS Patients: Healthy Controls: 10.7% 42.9% 29.4% Charvet LE, Porter MW, Harel B, Amadiume N, Belman AL, Krupp LB. Brief computerized cognitive testing in pediatric-onset multiple sclerosis (MS). Multiple Sclerosis Journal 2014; 20: (S1) P118. Charvet LE, Beekman R, Krupp LB. The Symbol Digit Modalities Test is a sensitive and specific screen for cognitive impairment in pediatric multiple sclerosis. J Neurol Sci. 2014 Jun 15;341(1-2):79-84. Doty, R. W., et al. (1994). "Interhemispheric sharing of visual memory in macaques." Behav Brain Res 64(1-2): 79-84. Research funded by National Multiple Sclerosis Society RG4808A81, Department of Defense W81XWH1410248, and supported by The Lourie Foundation, Inc.