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General Mathematical Ability Predicts PASAT Performance in MS Patients: Implications for Clinical Interpretation and Cognitive Reserve

Published online by Cambridge University Press:  29 January 2016

Joshua Sandry ,
Jessica Paxton  and
James F. Sumowski
Joshua Sandry*
Affiliation:
Psychology Department, Montclair State University, Montclair, New Jersey Neuropsychology and Neuroscience Research, Kessler Foundation, West Orange, New Jersey Department of Physical Medicine and Rehabilitation, Rutgers–New Jersey Medical School, Newark, New Jersey
Jessica Paxton
Affiliation:
Psychology Department, State University of New York, Plattsburgh, New York
James F. Sumowski
Affiliation:
Department of Health and Behavior Studies, Teachers College Columbia University
*
Correspondence and reprint requests to: Joshua Sandry, Psychology Department, Montclair State University, Montclair, NJ 07043. E-mail: sandryj@montclair.edu
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Abstract

Objectives: The Paced Auditory Serial Addition Test (PASAT) is used to assess cognitive status in multiple sclerosis (MS). Although the mathematical demands of the PASAT seem minor (single-digit arithmetic), cognitive psychology research links greater mathematical ability (e.g., algebra, calculus) to more rapid retrieval of single-digit math facts (e.g., 5+6=11). The present study evaluated the hypotheses that (a) mathematical ability is related to PASAT performance and (b) both the relationship between intelligence and PASAT performance as well as the relationship between education and PASAT performance are both mediated by mathematical ability. Methods: Forty-five MS patients were assessed using the Wechsler Test of Adult Reading, PASAT and Calculation Subtest of the Woodcock-Johnson-III. Regression based path analysis and bootstrapping were used to compute 95% confidence intervals and test for mediation. Results: Mathematical ability (a) was related to PASAT (β=.61; p<.001) and (b) fully mediated the relationship between Intelligence and PASAT (β=.76; 95% confidence interval (CI95)=.28, 1.45; direct effect of Intelligence, β=.42; CI95=−.39, 1.23) as well as the relationship between Education and PASAT (β=2.43, CI95=.81, 5.16, direct effect of Education, β=.83, CI95=−1.95, 3.61). Discussion: Mathematical ability represents a source of error in the clinical interpretation of cognitive decline using the PASAT. Domain-specific cognitive reserve is discussed. (JINS, 2016, 22, 375–378)

Keywords

CognitionIntelligenceMath abilityCognitive reserveMultiple sclerosisPASAT
Type
Brief Communication
Information
Journal of the International Neuropsychological Society , Volume 22 , Issue 3 , March 2016 , pp. 375 - 378
Copyright
Copyright © The International Neuropsychological Society 2016 

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References

Benedict, R.H., Fischer, J.S., Archibald, C.J., Arnett, P.A., Beatty, W.W., Bobholz, J., &Munschauer, F. (2002). Minimal neuropsychological assessment of MS patients: A consensus approach. The Clinical Neuropsycholist, 16(3), 381–397. doi:10.1076/clin.16.3.381.13859 Google Scholar
Benedict, R.H., Morrow, S.A., Weinstock Guttman, B., Cookfair, D., & Schretlen, D.J. (2010). Cognitive reserve moderates decline in information processing speed in multiple sclerosis patients. Journal of the International Neuropsychological Society, 16(5), 829–835. doi:10.1017/S1355617710000688 Google Scholar
Brochet, B., Deloire, M., Bonnet, M., Salort-Campana, E., Ouallet, J., Petry, K., & Dousset, V. (2008). Should SDMT substitute for PASAT in MSFC? A 5-year longitudinal study. Multiple Sclerosis, 14, 1242–1249.CrossRefGoogle ScholarPubMed
Chronicle, E.P., & MacGregor, N.A. (1998). Are PASAT scores related to mathematical ability? Neuropsychological Rehabilitation, 8(3), 273–282.Google Scholar
Cutter, G.R., Baier, M.L., Rudick, R.A., Cookfair, D.L., Fischer, J.S., Petkau, J., & Confavreux, C. (1999). Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain, 122(5), 871–882.Google Scholar
Drake, A.S., Weinstock-Guttman, B., Morrow, S.A., Hojnacki, D., Munschauer, F.E., & Benedict, R.H. (2010). Psychometrics and normative data for the Multiple Sclerosis Functional Composite: Replacing the PASAT with the Symbol Digit Modalities Test. Multiple Sclerosis, 16(2), 228–237. doi:10.1177/1352458509354552 Google Scholar
Grabner, R.H., Ansari, D., Reishofer, G., Stern, E., Ebner, F., & Neuper, C. (2007). Individual differences in mathematical competence predict parietal brain activation during mental calculation. Neuroimage, 38(2), 346–356. doi:10.1016/j.neuroimage.2007.07.041 Google Scholar
Hayes, A.F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press.Google Scholar
López-Góngora, M., Querol, L., & Escartín, A. (2015). A one-year follow-up study of the Symbol Digit Modalities Test (SDMT) and the Paced Auditory Serial Addition Test (PASAT) in relapsing-remitting multiple sclerosis: An appraisal of comparative longitudinal sensitivity. BMC Neurology, 15, 40.Google Scholar
Price, G.R., Mazzocco, M.M., & Ansari, D. (2013). Why mental arithmetic counts: Brain activation during single digit arithmetic predicts high school math scores. The Journal of Neuroscience, 33(1), 156–163. doi:10.1523/JNEUROSCI.2936-12.2013 Google Scholar
Rao, S.M. (1990). A manual for the brief, repeatable battery of neuropsychological tests in multiple sclerosis (pp. 121–123). New York: National Multiple Sclerosis Society.Google Scholar
Rocca, M.A., Amato, M.P., De Stefano, N., Enzinger, C., Geurts, J.J., Penner, I.-K., &Filippi, M. (2015). Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis. The Lancet Neurology, 14(3), 302–317.CrossRefGoogle ScholarPubMed
Sonder, J.M., Burggraaff, J., Knol, D.L., Polman, C.H., & Uitdehaag, B.M. (2014). Comparing long-term results of PASAT and SDMT scores in relation to neuropsychological testing in multiple sclerosis. Multiple Sclerosis, 20(4), 481–488.Google Scholar
Sumowski, J.F., Chiaravalloti, N., & DeLuca, J. (2009). Cognitive reserve protects against cognitive dysfunction in multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 31(8), 913–926. doi:909948817 [pii] 10.1080/13803390902740643 CrossRefGoogle ScholarPubMed
Sumowski, J.F., & Leavitt, V.M. (2013). Cognitive reserve in multiple sclerosis. Multiple Sclerosis, 19(9), 1122–1127. doi:10.1177/1352458513498834 Google Scholar
Tombaugh, T.N. (2006). A comprehensive review of the paced auditory serial addition test (PASAT). Archives of Clinical Neuropsychology, 21(1), 53–76.Google Scholar