ArticleBrain communications2025
Left-hemisphere glioma drives systematic patterns of contralesional functional connectivity.
Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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10 authors.
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Abstract
Gliomas can cause changes in functional networks both proximal and distal to the lesion. Understanding glioma-induced functional reorganization has implications for understanding variability across patients in cognitive outcomes, disease progression, and survival. Here, we leverage machine learning techniques to show that left-hemisphere gliomas are associated with systematic changes in right-hemisphere connectivity. We analyzed right-hemisphere functional connectivity patterns from resting-state functional MRI in 48 patients with left-hemisphere gliomas (mean age 50 years, 31 males) and 107 neurotypical controls (mean age 49 years, 44 males). We employed machine learning techniques, including support vector machines, to assess whether the pattern of right-hemispheric resting-state functional connectivity could distinguish left-hemisphere glioma patients from controls, and predict glioma characteristics, including isocitrate dehydrogenase mutation, World Health Organization grade, and relative size. A support vector machine binary classifier distinguished patients from controls based on right-hemisphere connectivity with 89% accuracy and 84% precision (both
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