PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 2, 2026Multiple Sclerosis Journal0 citations

TSPO-PET-measurable neuroinflammation associates with information processing speed decline in multiple sclerosis

View Full Paper
MSMaija SarasteTNTaru NikkiläMMMarkus Matilainen

Key Points

  • The aim is to evaluate if glial activation quantified by TSPO-PET can predict cognitive decline as measured by the Symbol Digit Modalities Test in MS.
  • Forty-eight individuals with MS underwent TSPO-PET and cognitive testing at baseline.
  • Thirty-four participants repeated cognitive tests approximately 4.9 years later.
  • Multivariable regression models analyzed predictors of initial and changing scores on the Symbol Digit Modalities Test.
  • Normal-appearing white matter radial diffusivity and thalamic DVR explained 41% of baseline cognitive variance.
  • NAWM DVR was the strongest predictor of cognitive change, explaining 53% of variance.
  • A model incorporating lesion rim DVR predicted cognitive decline with 73% sensitivity and 83% specificity.

Abstract

BACKGROUND: Impaired information processing speed (IPS) is a common and disabling cognitive deficit in multiple sclerosis (MS). OBJECTIVES: To assess whether glial activation measured using translocator protein-positron emission tomography (TSPO-PET) predicts performance and long-term change on the Symbol Digit Modalities Test (SDMT). METHODS: Forty-eight people with MS underwent ¹¹CPK11195 TSPO-PET, magnetic resonance imaging (MRI), diffusion tensor imaging and SDMT at baseline; 34 repeated SDMT a median (first to third quartile) 4.9 (3.7-5.2) years later. Glial activation was quantified using the distribution volume ratio (DVR). Multivariable regression models were used to identify predictors of baseline SDMT and subsequent change. RESULTS: Normal-appearing white matter (NAWM) radial diffusivity (estimate 95% confidence interval (CI) -129 -214, -44), thalamic DVR (-52.5 -94.8, -10.2) and age (-0.57 -1.07, -0.06) explained 41% of baseline SDMT variance. NAWM DVR was the strongest predictor of SDMT change, explaining 53% of variance when adjusted for baseline SDMT (-6.23 -8.55, -3.91). A model including lesion rim DVR (odds ratio 1.36 1.06, 1.73) and baseline SDMT (1.18 1.01, 1.37) predicted SDMT decline with 73% sensitivity and 83% specificity (area under the curve AUC = 0.85). CONCLUSION: Diffuse neuroinflammation in the NAWM is associated with future SDMT change, suggesting a potential role for chronic glial activation in IPS deterioration in MS.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Saraste et al. (2026) studied this question.

synapsesocial.com/papers/6a1e72e830b38c64201b620dhttps://doi.org/10.1177/13524585261446839
Ask AI
Helpful
Bookmark
Share
View Full Paper