Related Experiment Video
Updated: Jan 20, 2026

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
Multiple brain networks support processing speed abilities of patients with multiple sclerosis
Riccardo Manca1, Micaela Mitolo2, Maria Rosaria Stabile3
1Department of Neuroscience, University of Sheffield , Sheffield , UK.
Cognitive impairment in multiple sclerosis (MS) is linked to brain network connectivity. Processing speed (PS) deficits correlate with altered functional connectivity in key brain networks, suggesting multiple networks support cognition in MS patients.
Area of Science:
- Neuroscience
- Neurology
- Cognitive Science
Background:
- Multiple sclerosis (MS) frequently causes cognitive impairment, particularly affecting information processing speed (PS).
- Neural disconnection is a suspected marker, but the role of specific functional brain networks remains unclear.
Purpose of the Study:
- To investigate and compare associations between processing speed (PS)-demanding cognitive performance and functional brain network connectivity.
- To examine these associations across two distinct multiple sclerosis (MS) phenotypes: relapsing-remitting MS (RRMS) and secondary progressive MS (SPMS).
Main Methods:
- Neuropsychological and MRI assessments were conducted on 40 RRMS and 25 SPMS patients.
- Multiple regression models analyzed the relationship between cognitive performance (visuomotor/verbal PS, verbal fluency) and functional connectivity in cognitive (frontoparietal, salience, default-mode) and control (visual, sensorimotor) networks.
Main Results:
- SPMS patients were older, had longer disease duration, and exhibited worse clinical status and higher cognitive impairment rates than RRMS patients.
- In both RRMS and SPMS groups, cognitive performance negatively correlated with salience and default-mode network connectivity and positively with left frontoparietal network connectivity.
- Visuomotor processing speed in the RRMS group also showed an association with sensorimotor network connectivity.
Conclusions:
- Processing speed (PS) in multiple sclerosis (MS) patients is primarily associated with the functional connectivity strength of frontal networks and the default mode network.
- These findings support the hypothesis that multiple neural networks are essential for maintaining cognitive function across different MS phenotypes.
- Partially differing associations between specific PS measures and functional connectivity warrant further research into inter-network communication's role in MS-related cognitive deficits.
Related Concept Videos
11:35The Multiple Sclerosis Performance Test (MSPT): An iPad-Based Disability Assessment Tool
09:41Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
08:18A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation (tDCS) in Multiple Sclerosis (MS)
08:11Measuring Progressive Neurological Disability in a Mouse Model of Multiple Sclerosis
08:51Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:05Bioluminescence and Near-infrared Imaging of Optic Neuritis and Brain Inflammation in the EAE Model of Multiple Sclerosis in Mice

