ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging
Lesion-Based Disconnectome Explains Cognitive Outcomes in Multiple Sclerosis.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Lesion-Based Disconnectome Explains Cognitive Outcomes in Multiple Sclerosis.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
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Authors and funding
9 authors.
Funding
Abstract
background and purposeCognitive impairment is common and disabling in multiple sclerosis (MS), yet poorly explained by lesion burden. This study aimed to determine whether the indirect impact of lesions, quantified through disconnectomes, explains multidomain cognitive deficits more effectively than lesion load, and to identify specific white matter tracts underlying these deficits.
methodsThirty adults with MS completed the Brief International Cognitive Assessment for MS, covering processing speed (Symbol Digit Modalities Test; SDMT), verbal memory (California Verbal Learning Test-II; CVLT-II), and visuospatial memory (Brief Visuospatial Memory Test-Revised; BVMT-R). Lesions were segmented using 3 Tesla fluid-attenuated inversion recovery images and used to estimate tract-specific disconnections and generate voxel-wise disconnectome maps. Tract-specific and voxel-wise analyses were used to identify disconnection patterns associated with cognitive performance.
resultsCognition was impaired across all domains (all p < 0.001). Disconnectome volume was a significant independent determinant of cognitive performance (β = -0.41, p = 0.004), whereas lesion volume was not. Tract-specific analyses revealed distinct disconnection patterns: slower SDMT was associated with left cingulum posterior (β = -0.310, 95% confidence interval [CI] [-0.599, -0.021]); poorer CVLT-II with left arcuate fasciculus (β = -0.232, 95% CI [-0.435, -0.030]); and lower BVMT-R with right cingulum posterior (β = -0.218, 95% CI [-0.383, -0.054]). Voxel-wise analyses identified where the strongest associations between disconnectomes and cognitive performance were located.
conclusionLesion-driven disconnection is a more robust determinant of cognitive impairment in MS than lesion burden alone, and disconnectome mapping may help understand the indirect network-level mechanisms underlying cognitive deficits in MS.
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