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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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Literature Corpus work
05484c4d-c2af-53c6-8bc5-0d8ae34358e2
DOI
10.1101/2021.03.01.432930
Open publication

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Employing connectome-based models to predict working memory in multiple sclerosisDOI 10.1101/2021.03.01.432930
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