ArticleEpilepsia2025
Exploratory study of peripheral immune changes associated with diffusion MRI multi-compartment model in temporal lobe epilepsy.
Article in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
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7 authors.
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Abstract
objectiveStudies in temporal lobe epilepsy (TLE) have shown that focal inflammation is a key contributor to seizure initiation and maintenance. However, most in vivo studies to date have focused on positron emission tomography (PET) findings. In this exploratory study, we assessed the relationship between multicompartment Neurite Orientation Dispersion and Density Imaging (NODDI) measures (FISO [extracellular/free water], FICVF [neurite density], and ODI [neurite dispersion]) and peripheral immune cells and inflammatory biomarkers. We hypothesized that these biomarkers would be associated with NODDI abnormalities in the affected temporal lobe (aTL).
methodsEighteen patients with TLE and 18 age-matched healthy participants underwent 3 Tesla magnetic resonance imaging (MRI) high angular resolution diffusion imaging. TLE participants also provided peripheral blood samples. We generated NODDI parameter maps (FISO, FICVF, and ODI) and compared the groups using voxelwise two-sample t tests with corrections for multiple comparisons (p < .05), focusing on temporal regions. In TLE patients only, NODDI values extracted from significant clusters correlated with peripheral inflammatory biomarkers.
resultsODI increases in the aTL significantly correlated with pro-inflammatory cytokines such as interleukin (IL)-1α and IL-2. FICVF was lower in the aTL, and this decrease correlated with IL-27 and CD3 SIGNIFICANCE: Group differences indicate a significant relationship between NODDI biomarkers of injury/neuroinflammation and peripheral immune cells and pro-inflammatory biomarkers in aTL. These novel in vivo findings support further the development of NODDI as a promising non-invasive technique for visualizing neuroinflammation. Further validation of NODDI may enable clinicians to use this approach for monitoring disease progression and treatment response in epilepsy, potentially leading to more personalized treatment strategies.
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