Joshua Sandry1, Daniel V Simonet2, Rachel Brandstadter3, Stephen Krieger4, Ilana Katz Sand4, Robin A Graney4, Alexandra V Buchanan2, Sophia Lall2, James F Sumowski5. 1. Psychology Department, Montclair State University, 1 Normal Ave Montclair, NJ, 07043 USA. Electronic address: sandryj@montclair.edu. 2. Psychology Department, Montclair State University, 1 Normal Ave Montclair, NJ, 07043 USA. 3. Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA. 4. Department of Neurology, Icahn School of Medicine at Mount Sinai, 5 East 98th Street, Box 1138, New York, NY 10029, USA. 5. Department of Neurology, Icahn School of Medicine at Mount Sinai, 5 East 98th Street, Box 1138, New York, NY 10029, USA.. Electronic address: james.sumowski@mssm.edu.
Abstract
BACKGROUND: The Symbol Digit Modalities Test (SDMT) is the most sensitive metric of neurocognitive function in multiple sclerosis (MS), and is consistently interpreted as a measure of information processing speed (IPS). OBJECTIVE: To evaluate the cognitive psychometric profile captured by the SDMT to identify whether different cognitive processes independently underlie performance. METHODS: Three samples of MS patients (total n=661; 185 research patients at MS center; 370 clinical patients at MS center; 106 persons with MS from the community) completed objective assessments of neuropsychological function across cognitive domains. Exploratory factor analysis (EFA) was used to derive latent cognitive factor scores, and operationalize cognitive domain composite scores, to understand the unique, shared and redundant contribution of different cognitive domains to SDMT performance using hierarchical multiple regression and commonality analysis. RESULTS: Across three independent samples we provide converging strong evidence that the cognitive domains of Memory, IPS and Rapid Automatized Naming (lexical access speed) jointly and uniquely contribute to SDMT performance. CONCLUSION: The SDMT measures multiple cognitive processes, which likely explains the high degree of sensitivity to cognitive change in MS. Researchers and clinicians should interpret the SDMT as a multifarious measure of general cognition rather than a specific test of IPS.
BACKGROUND: The Symbol Digit Modalities Test (SDMT) is the most sensitive metric of neurocognitive function in multiple sclerosis (MS), and is consistently interpreted as a measure of information processing speed (IPS). OBJECTIVE: To evaluate the cognitive psychometric profile captured by the SDMT to identify whether different cognitive processes independently underlie performance. METHODS: Three samples of MS patients (total n=661; 185 research patients at MS center; 370 clinical patients at MS center; 106 persons with MS from the community) completed objective assessments of neuropsychological function across cognitive domains. Exploratory factor analysis (EFA) was used to derive latent cognitive factor scores, and operationalize cognitive domain composite scores, to understand the unique, shared and redundant contribution of different cognitive domains to SDMT performance using hierarchical multiple regression and commonality analysis. RESULTS: Across three independent samples we provide converging strong evidence that the cognitive domains of Memory, IPS and Rapid Automatized Naming (lexical access speed) jointly and uniquely contribute to SDMT performance. CONCLUSION: The SDMT measures multiple cognitive processes, which likely explains the high degree of sensitivity to cognitive change in MS. Researchers and clinicians should interpret the SDMT as a multifarious measure of general cognition rather than a specific test of IPS.
Authors: Stijn Denissen; Denis Alexander Engemann; Alexander De Cock; Lars Costers; Johan Baijot; Jorne Laton; Iris-Katharina Penner; Matthias Grothe; Michael Kirsch; Marie Beatrice D'hooghe; Miguel D'Haeseleer; Dominique Dive; Johan De Mey; Jeroen Van Schependom; Diana Maria Sima; Guy Nagels Journal: Eur J Neurol Date: 2022-07-11 Impact factor: 6.288