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Abstract #5555

Resting-State Functional Connectivity of the Language Network in Multiple Sclerosis in Young Adults

Andrew LaBella1, Lauren Krupp2, Leigh Charvet2, Lev Bangiyev3, and Tim Q Duong3

1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Multiple Sclerosis Comprehensive Care Center, NYU, New York, NY, United States, 3Radiology, Stony Brook University, Stony Brook, NY, United States

Multiple Sclerosis is affiliated with many clinical symptoms, including language deficiencies. However, the neural mechanism behind these problems hasn’t yet been explored. In this study, we use resting-state fMRI to probe the known language network in MS patients. We found that functional connectivity of the language network in MS patients is significantly correlated with clinical disability and results of a verbal learning test. Based on our results, we believe resting-state fMRI may be a viable tool to monitor language deficiencies in MS patients along with clinical scores.

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