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Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
Gray matter networks and cognitive impairment in multiple sclerosis
Carolina M Rimkus1, Menno M Schoonheim2, Martijn D Steenwijk3
1Department of Radiology and Nuclear Medicine, VUmc MS Center Amsterdam, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands/Department of Radiology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.
Multiple sclerosis (MS) patients with more random gray matter networks exhibit poorer cognitive function. These network properties may indicate neurological dysfunction in MS, impacting cognition.
Area of Science:
- Neuroscience
- Medical Imaging
- Cognitive Science
Background:
- Coordinated gray matter morphology in the brain forms networks.
- Disruptions in these brain networks are linked to cognitive dysfunction in multiple sclerosis (MS).
Purpose of the Study:
- To determine if individual gray matter network properties correlate with cognitive impairment in MS patients.
Main Methods:
- Network parameters were calculated for 148 MS patients and 33 healthy controls.
- Network properties were compared between cognitively normal and impaired MS subjects.
- Regression models assessed associations between network parameters and neuropsychological test performance, controlling for covariates.
Main Results:
- MS patients with cognitive impairment displayed more random network organization (lower lambda values) compared to those with normal cognition.
- Lower lambda values correlated with worse overall cognition and executive function.
- Lower clustering values were associated with impaired information processing speed, working memory, and attention.
Conclusions:
- MS patients with more random gray matter networks exhibit poorer cognitive functioning.
- Single-subject gray matter network analysis may reveal neurological dysfunction associated with MS.
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