Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes

Abstract Brainstem dysfunctions are very common in Multiple Sclerosis (MS) and are a critical predictive factor for future disability.Brainstem functionality can be explored with blink reflexes, subcortical responses consisting in a blink following a peripheral stimulation.Some reflexes are already pop smoke muscle employed in clinical practice, su

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