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The computer-based Symbol Digit Modalities Test: establishing age-expected performance in healthy controls and evaluation of pediatric MS patients

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Abstract

Decreased information processing speed (IPS) is frequently reported in pediatric multiple sclerosis (MS) patients. The computerized version of the Symbol Digit Modalities Test (c-SDMT) measures IPS over eight consecutive trials per session and additionally captures changes in performance within the session. Here, we establish normative c-SDMT performance and test–retest reliability in healthy children (HC) and explore differences in the overall c-SDMT-performance between HC and MS patients. This cross-sectional study included 478 HC (237 female, 49.5%) divided into five age groups (2 years each), and 27 MS patients (22 female, 81.5%) aged 8–18 years. The average time to complete the c-SDMT increased with age (|r| 0.70, 95% CI −0.74, −0.64). Test–retest reliability was high (ICC = 0.91) in HC. The total time to complete the c-SDMT did not differ between children with MS and sex- and age- matched HC (p = 0.23). However, MS patients were less likely to show faster performance across all the successive eight trials compared to HC (p = 0.0001). Healthy children demonstrate faster IPS with increasing age, as well as during successive trials of the c-SDMT. The inability of pediatric MS patients to maintain the increase in processing speed over successive trials suggests a reduced capacity for procedural learning, possibly resulting from cognitive fatigue.

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References

  1. Renoux C, Vukusic S, Confavreux C (2008) The natural history of multiple sclerosis with childhood onset. Clin Neurol Neurosurg 110:897–904

    Article  PubMed  Google Scholar 

  2. Amato MP, Goretti B, Ghezzi A et al (2008) Cognitive and psychosocial features of childhood and juvenile MS. Neurology 70:1891–1897

    Article  CAS  PubMed  Google Scholar 

  3. Portaccio E, Goretti B, Lori S et al (2009) The brief neuropsychological battery for children: a screening tool for cognitive impairment in childhood and juvenile multiple sclerosis. Mult Scler 15:620–626

    Article  CAS  PubMed  Google Scholar 

  4. Benedict RH, Smerbeck A, Parikh R, Rodgers J, Cadavid D, Erlanger D (2012) Reliability and equivalence of alternate forms for the Symbol Digit Modalities Test: implications for multiple sclerosis clinical trials. Mult Scler 18:1320–1325

    Article  PubMed  Google Scholar 

  5. Bethune A, Tipu V, Sled JG et al (2011) Diffusion tensor imaging and cognitive speed in children with multiple sclerosis. J Neurol Sci 309:68–74

    Article  CAS  PubMed  Google Scholar 

  6. Till C, Ghassemi R, Aubert-Broche B et al (2011) MRI correlates of cognitive impairment in childhood-onset multiple sclerosis. Neuropsychology 25:319–332

    Article  CAS  PubMed  Google Scholar 

  7. Hosseini B, Flora DB, Banwell BL, Till C (2014) Age of onset as a moderator of cognitive decline in pediatric-onset multiple sclerosis. J Int Neuropsychol Soc 20:796–804

    Article  PubMed  Google Scholar 

  8. Akbar N, Honarmand K, Kou N, Feinstein A (2011) Validity of a computerized version of the symbol digit modalities test in multiple sclerosis. J Neurol 258:373–379

    Article  PubMed  Google Scholar 

  9. Benedict RH, Bruce J, Dwyer MG et al (2007) Diffusion-weighted imaging predicts cognitive impairment in multiple sclerosis. Mult Scler 13:722–730

    Article  PubMed  Google Scholar 

  10. Benedict RH, Ramasamy D, Munschauer F, Weinstock-Guttman B, Zivadinov R (2009) Memory impairment in multiple sclerosis: correlation with deep grey matter and mesial temporal atrophy. J Neurol Neurosurg Psychiatry 80:201–206

    Article  CAS  PubMed  Google Scholar 

  11. Mabbott DJ, Noseworthy M, Bouffet E, Laughlin S, Rockel C (2006) White matter growth as a mechanism of cognitive development in children. Neuroimage 33:936–946

    Article  PubMed  Google Scholar 

  12. Polman CH, Reingold SC, Edan G et al (2005) Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”. Ann Neurol 58:840–846

    Article  PubMed  Google Scholar 

  13. Polman CH, Reingold SC, Banwell B et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302

    Article  PubMed  PubMed Central  Google Scholar 

  14. Bridges AJ, Holler KA (2007) How many is enough? Determining optimal sample sizes for normative studies in pediatric neuropsychology. Child Neuropsychol 13:528–538

    Article  PubMed  Google Scholar 

  15. Goretti B, Portaccio E, Ghezzi A et al (2012) Fatigue and its relationships with cognitive functioning and depression in paediatric multiple sclerosis. Mult Scler 18:329–334

    Article  CAS  PubMed  Google Scholar 

  16. Goretti B, Viterbo RG, Portaccio E et al (2014) Anxiety state affects information processing speed in patients with multiple sclerosis. Neurol Sci 35:559–563

    Article  PubMed  Google Scholar 

  17. Salum GA, Sergeant J, Sonuga-Barke E et al (2014) Specificity of basic information processing and inhibitory control in attention deficit hyperactivity disorder. Psychol Med 44:617–631

    Article  CAS  PubMed  Google Scholar 

  18. Nikolas MA, Nigg JT (2013) Neuropsychological performance and attention-deficit hyperactivity disorder subtypes and symptom dimensions. Neuropsychology 27:107–120

    Article  PubMed  Google Scholar 

  19. Wrightson P, McGinn V, Gronwall D (1995) Mild head injury in preschool children: evidence that it can be associated with a persisting cognitive defect. J Neurol Neurosurg Psychiatry 59:375–380

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Ingebrigtsen T, Waterloo K, Jacobsen EA, Langbakk B, Romner B (1999) Traumatic brain damage in minor head injury: relation of serum S-100 protein measurements to magnetic resonance imaging and neurobehavioral outcome. Neurosurgery 45:468–475 (discussion 475–466)

    Article  CAS  PubMed  Google Scholar 

  21. De Bellis MD, Keshavan MS, Beers SR et al (2001) Sex differences in brain maturation during childhood and adolescence. Cereb Cortex 11:552–557

    Article  PubMed  Google Scholar 

  22. Slinker BK, Glantz SA (2008) Multiple linear regression: accounting for multiple simultaneous determinants of a continuous dependent variable. Circulation 117:1732–1737

    Article  PubMed  Google Scholar 

  23. Guleria S, Kelly TG (2014) Myelin, myelination, and corresponding magnetic resonance imaging changes. Radiol Clin North Am 52:227–239

    Article  PubMed  Google Scholar 

  24. Scantlebury N, Cunningham T, Dockstader C et al (2014) Relations between white matter maturation and reaction time in childhood. J Int Neuropsychol Soc 20:99–112

    Article  PubMed  Google Scholar 

  25. Konrad A, Vucurevic G, Musso F, Stoeter P, Winterer G (2009) Correlation of brain white matter diffusion anisotropy and mean diffusivity with reaction time in an oddball task. Neuropsychobiology 60:55–66

    Article  PubMed  Google Scholar 

  26. DeLuca J, Genova HM, Hillary FG, Wylie G (2008) Neural correlates of cognitive fatigue in multiple sclerosis using functional MRI. J Neurol Sci 270:28–39

    Article  PubMed  Google Scholar 

  27. Brochet B, Deloire MS, Bonnet M et al (2008) Should SDMT substitute for PASAT in MSFC? A 5-year longitudinal study. Mult Scler 14:1242–1249

    Article  CAS  PubMed  Google Scholar 

  28. Drake AS, Weinstock-Guttman B, Morrow SA, Hojnacki D, Munschauer FE, Benedict RH (2010) Psychometrics and normative data for the multiple sclerosis functional composite: replacing the PASAT with the Symbol Digit Modalities Test. Mult Scler 16:228–237

    Article  CAS  PubMed  Google Scholar 

  29. Charvet LE, Beekman R, Amadiume N, Belman AL, Krupp LB (2014) The Symbol Digit Modalities Test is an effective cognitive screen in pediatric onset multiple sclerosis (MS). J Neurol Sci 341:79–84

    Article  PubMed  Google Scholar 

  30. Till C, Racine N, Araujo D et al (2013) Changes in cognitive performance over a 1-year period in children and adolescents with multiple sclerosis. Neuropsychology 27:210–219

    Article  PubMed  Google Scholar 

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Acknowledgements

We would like to thank the Ontario Science Centre and the wonderful children who participated in the study, the volunteers Adam Fath, Bahareh Fouladi, Mariam Bakshi, Christy Cheung, Amanda Yee, Nivetha Sivanathan, Kristen Maunder, Maria Berseneva, Talia Goldberg and Jauana Ponnudurai who helped collect the data and Lauren Sergio from York University for her support.

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Correspondence to Sandra Bigi.

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Funding

This study was funded through a grant for prospective researchers provided by the Swiss National Science Foundation (PBBSP3_144296) as well as support through the Anna Müller Grocholski Foundation, Switzerland.

Conflict of interest

S. Bigi received educational grants provided by the Swiss Multiple Sclerosis Society, the Bangerter-Rhyner Foundation and Biogen-Dompe as well as a fellowship for prospective researchers provided by the Swiss National Science Foundation and a research fellowship provided by the Anna Müller Grocholski Foundation. R. A. Marrie receives research funding from: Canadian Institutes of Health Research, Public Health Agency of Canada, Research Manitoba, Health Sciences Centre Foundation, Multiple Sclerosis Society of Canada, Multiple Sclerosis Scientific Foundation, Rx & D Health Research Foundation, National MS Society, and has conducted clinical trials funded by Sanofi-Aventis. C. Till has no disclosures to report. E. Ann Yeh has no disclosures to report. N. Akbar has received personal fees/speaker honorarium from EMD Serono Canada, outside of the submitted work. A. Feinstein serves as an editorial board member of Multiple Sclerosis and chairs the Medical Advisory Committee of the Multiple Sclerosis Society of Canada. He has received book royalties from Cambridge University Press, Johns Hopkins University Press, Amadeus Press and Tafelberg. Research support comes from the Multiple Sclerosis Society of Canada, the Canadian Institutes of Health Research and Biogen Idec. He has received Speaker’s Honoraria from Merck Serono, Teva Pharmaceutical Industries Ltd., and Novartis. B. Banwell serves as a consultant for Biogen Idec, Novartis, Sanofi, and Teva Neuroscience.

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Bigi, S., Marrie, R.A., Till, C. et al. The computer-based Symbol Digit Modalities Test: establishing age-expected performance in healthy controls and evaluation of pediatric MS patients. Neurol Sci 38, 635–642 (2017). https://doi.org/10.1007/s10072-017-2813-0

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  • DOI: https://doi.org/10.1007/s10072-017-2813-0

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