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 employed in clinical practice, such as Trigeminal