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Although structural disconnection represents the hallmark of multiple sclerosis (MS) pathophysiology, classification attempts based on structural connectivity have achieved low accuracy levels. Here, we set out to fill this gap,… Click to show full abstract
Although structural disconnection represents the hallmark of multiple sclerosis (MS) pathophysiology, classification attempts based on structural connectivity have achieved low accuracy levels. Here, we set out to fill this gap, exploring the performance of supervised classifiers on features derived from microstructure informed tractography and selected applying a novel robust approach.
Keywords:
classification;
based structural;
multiple sclerosis;
structural disconnection
Journal Title: Journal of Neuroimaging
Year Published: 2022
Link to full text (if available)
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Journal Title: Journal of Neuroimaging
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!