Article
Employing connectome-based models to predict working memory in multiple sclerosis
2021-03-02
Abstract excerpt
<h4>Background</h4> Individuals with multiple sclerosis (MS) are vulnerable to deficits in working memory, and the search for neural correlates of working memory in circumscribed areas has yielded inconclusive findings. Given the widespread neural alterations observed in MS, predictive modeling approaches that capitalize on whole-brain connectivity may better capture individual-level working memory in this popula...
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Identifiers and source
- Literature Corpus work
- 05484c4d-c2af-53c6-8bc5-0d8ae34358e2
- DOI
- 10.1101/2021.03.01.432930
