Article

Predicting cognition using estimated structural and functional connectivity networks and artificial intelligence in multiple sclerosis

2025-03-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Our prior work demonstrated that estimated structural and functional connectomes (eSC and eFC) generated using multiple sclerosis (MS) lesion masks and artificial intelligence (AI) models can predict disability as effectively as SC and FC derived from diffusion and functional MRI in MS. The goal of this study was to assess the ability of eSC and eFC in predicting baseline an...

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Literature Corpus work: 39a850c8-e423-57e5-92fb-55e86655f9ad
DOI: 10.1101/2025.03.07.642094

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