The SM cortex exhibited higher EEG-band-power than non-SM cortex ( P < 0.0002). The last step was implemented to accentuate local network activity. We computed a metric M based on the transformed values and the mean Euclidian distance of each contact from contacts with Z-scores higher than 0. Statistically transformed EEG data values that did not reach a threshold ( th) were set to 0. For each contact, we computed a composite power, coherence, and entropy values for activity in the high gamma band (80–115) Hz of 6–10 min of NREM sleep. Our innovative approach takes advantage of intrinsic properties of the primary motor cortex (MC), which exhibits enhanced icEEG band-power and coherence across the CS. We studied seven patients with intractable epilepsy undergoing intracranial EEG (icEEG) monitoring, in whom CS localization was accomplished by standard methods. We test the performance of a novel operator-independent EEG-based method for passive identification of the central sulcus (CS) and sensorimotor (SM) cortex.
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