| Literature DB >> 33484378 |
Jeremy Deverdun1, Arthur Coget2,3,4, Xavier Ayrignac5, Clarisse Carra-Dalliere5, Alexandre Krainik6,7, Aude Metzger8, Pierre Labauge5, Nicolas Menjot de Champfleur2,3,9,4, Emmanuelle Le Bars2,3,4.
Abstract
Patients with multiple sclerosis (MS) show a diffuse cerebral perfusion decrease, presumably related to multiple metabolism and vascular alterations. It is assumed that white matter fiber alterations cause a localized cerebral vasoreactivity (CVR) disruption through astrocytes metabolism alteration, leading to hypoperfusion. We proposed to (1) evaluate the CVR disruptions in MS, (2) in relation to white matter lesions and (3) compare CVR disruptions maps with standard imaging biomarkers. Thirty-five MS patients (10 progressive, 25 relapsing-remitting) and 22 controls underwent MRI with hypercapnic challenge, DTI imaging and neuropsychological assessment. Areas with disrupted CVR were assessed using a general linear model. Resulting maps were associated with clinical scores, compared between groups, and related to DTI metrics and white matter lesions. MS patients showed stronger disrupted CVR within supratentorial white matter, linking the left anterior insula to both the precentral gyrus and the right middle and superior frontal gyrus through the corpus callosum (P < 0.05, FWE corrected). Patient's verbal intellectual quotient was negatively associated with a pathway linking both hippocampi to the ispilateral prefrontal cortex (P < 0.05, FWE corrected). Disrupted CVR maps unrelated to DTI metrics and white matter lesions. We have demonstrated for the first time that white matter alterations can be indirectly identified through surrounding vessel alterations, and are related to clinical signs of MS. This offers a new, likely independent marker to monitor MS and supports a mediator role of the astrocytes in the fibers/vessels relationship.Entities:
Keywords: Axonal degeneration; Biomarkers; Cerebrovascular reactivity; Clinical evaluation; MRI; Multiple sclerosis
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Year: 2021 PMID: 33484378 DOI: 10.1007/s10548-021-00819-3
Source DB: PubMed Journal: Brain Topogr ISSN: 0896-0267 Impact factor: 3.020