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Updated: Sep 24, 2025

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Measuring Progressive Neurological Disability in a Mouse Model of Multiple Sclerosis
Published on: November 14, 2016
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The relationship between processing speed and verbal and non-verbal new learning and memory in progressive multiple
Nancy D Chiaravalloti1, John DeLuca1, Amber Salter2
1Kessler Foundation, East Hanover, NJ, USA/Department of Physical Medicine Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA.
Summary
Processing speed deficits in multiple sclerosis (MS) are common. The Symbol Digit Modalities Test (SDMT) better predicts visuospatial memory decline than verbal learning in progressive MS patients.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Clinical Neurology
Background:
- Processing speed (PS) deficits are the most frequent cognitive impairment in multiple sclerosis (MS), often preceding other cognitive issues like learning and memory problems.
- Impaired PS is hypothesized to be a direct consequence of MS pathology, negatively impacting learning abilities.
- This study investigates the relationship between PS and learning in a large cohort of individuals with progressive MS.
Purpose of the Study:
- To examine the association between processing speed and learning in individuals with progressive multiple sclerosis.
- To determine the predictive power of a standard PS test for different learning and memory deficits in MS.
- To evaluate the utility of the Symbol Digit Modalities Test (SDMT) in identifying cognitive impairments in progressive MS.
Main Methods:
- Analysis of baseline data from a North American and European randomized clinical trial involving 275 participants with progressive MS.
- Utilized the Symbol Digit Modalities Test (SDMT) as a measure of processing speed.
- Employed the California Verbal Learning Test-II (CVLT-II) and the Brief Visuospatial Memory Test-Revised (BVMT-R) to assess learning and memory.
Main Results:
- The SDMT showed a statistically significant correlation with both CVLT-II (r=0.21, p=0.0003) and BVMT-R (r=0.516, p<0.0001).
- Receiver operating characteristic (ROC) analysis indicated a 61% chance of predicting impaired CVLT-II performance from SDMT scores (AUC=0.61).
- ROC analysis demonstrated a 77% chance of distinguishing impaired from non-impaired BVMT-R performance using SDMT scores (AUC=0.77).
Conclusions:
- The SDMT has a limited ability to predict verbal learning deficits in progressive MS, with predictive accuracy only slightly better than chance.
- The SDMT is more effective in predicting visuospatial memory impairments in this population, showing substantial predictive power.
- These findings suggest that processing speed, as measured by the SDMT, has differential impacts on various cognitive domains in progressive MS, with a stronger link to visuospatial memory.
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