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Updated: Jun 23, 2026

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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
Examination of processing speed deficits in multiple sclerosis using functional magnetic resonance imaging
Helen M Genova1, Frank G Hillary, Glenn Wylie
1Graduate School of Biomedical Sciences, University of Medicine and Dentistry of New Jersey, Newark, New Jersey, USA. hgenova@kmrrec.org
Summary
Multiple sclerosis (MS) patients show slower processing speed than healthy controls due to altered brain activity. Neural networks for processing speed differ in MS, resembling patterns seen in aging.
Area of Science:
- Neuroscience
- Cognitive Neurology
- Neuroimaging
Background:
- Processing speed deficits are a hallmark cognitive impairment in multiple sclerosis (MS).
- The specific neural mechanisms underlying these processing speed impairments in MS are not well understood.
- Understanding these mechanisms is crucial for developing targeted interventions.
Purpose of the Study:
- To investigate the differences in brain activity during a processing speed task between individuals with MS and healthy controls (HCs).
- To identify the neural networks associated with processing speed in both MS and HC groups.
- To compare the neural underpinnings of processing speed deficits in MS to those observed in aging.
Main Methods:
- BOLD functional magnetic resonance imaging (fMRI) was used to measure brain activity.
- 16 individuals with MS and 17 HCs performed a modified Symbol Digit Modalities Task.
- Group comparisons of brain activation patterns and network mediation were analyzed.
Main Results:
- The MS group exhibited significantly slower performance compared to HCs, with no difference in accuracy.
- MS patients showed reduced cerebral activity in bilateral frontal and parietal regions compared to HCs.
- Neural networks mediating processing speed differed, with HCs relying on frontal, parietal, cerebellum, and thalamus, while MS relied on insula, thalamus, and anterior cingulate.
Conclusions:
- Neural network differences in processing speed exist between individuals with MS and HCs.
- The observed alterations in MS resemble neural patterns seen in aging, potentially linked to white and gray matter damage.
- These findings highlight distinct neural substrates for processing speed in MS, suggesting unique compensatory or pathological mechanisms.

