Publications by authors named "C Yiannikas"

Somatosensory evoked potentials (SSEPs) are electrical potentials that measure various parts of the ascending somatosensory pathways. They are elicited through stimulating mixed nerves, with subsequent orthodromic stimulation of sensory nerves. Despite advances in imaging, SSEPs complement both the clinical examination and peripheral neurophysiological studies when assessing the functional integrity of the sensory pathways, being especially helpful when imaging is inconclusive.

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Background And Objectives: Slow-burning inflammation at the edge, and chronic demyelination at the core, of established multiple sclerosis (MS) lesions are potential mediators of disease progression. However, their relative contribution to progressive axonal damage has not been explored. Therefore, in this study, we investigated the comparative contribution of slow-burning inflammation and chronic demyelination to axonal attrition within MS lesions by measuring progressive tissue rarefaction.

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Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is diagnosed by serum MOG-immunoglobulin G (MOG-IgG) in association with typical demyelination. 111/1127 patients with paired CSF/serum samples were seropositive for MOG-IgG. Only 7/1016 (0.

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Objectives: Gradual expansion of multiple sclerosis lesions over time is known to have a significant impact on disease progression. However, accurately quantifying the volume changes in chronic lesions presents challenges due to their slow rate of progression and the need for longitudinal segmentation. Our study addresses this by estimating the expansion of chronic lesions using data collected over a 1-2 year period and exploring imaging markers that do not require longitudinal lesion segmentation.

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Article Synopsis
  • This study aimed to assess how reanalyzing genomic data can help identify diagnoses in dystonia patients who previously had inconclusive results.
  • Initially, only 11.7% of 111 patients received a molecular diagnosis from the first genome sequencing in 2019, but reanalysis between 2020 and 2023 increased that rate to 18.9%.
  • The findings suggest that regularly revisiting genomic data can lead to more genetic diagnoses, which can be crucial for better understanding and managing the condition for patients and their families.
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