Electrical probing of cortical excitability in @entity1 with XXXX .

@entity1 @entity410 @entity302
Standard methods for @entity410 prediction involve passive monitoring of intracranial electroencephalography (iEEG) in order to track the 'state' of the brain. This paper introduces a new method for measuring cortical excitability using an electrical probing stimulus. Electrical probing enables feature extraction in a more robust and controlled manner compared to passively tracking features of iEEG signals. The probing stimuli consist of 100 bi-phasic pulses, delivered every 10 min. Features representing neural excitability are estimated from the iEEG responses to the stimuli. These features include the amplitude of the electrically evoked potential, the mean phase variance (univariate), and the phase-locking value (bivariate). In one @entity1 , it is shown how the features vary over time in relation to the sleep-wake cycle and an @entity302 . For a second @entity1 , it is demonstrated how the features vary with the rate of interictal discharges. In addition, the spatial pattern of increases and decreases in phase synchrony is explored when comparing periods of low and high interictal discharge rates, or sleep and awake states. The results demonstrate a proof-of-principle for the method to be applied in a @entity410 anticipation framework. This article is part of a Supplemental Special Issue entitled The Future of Automated @entity410 Detection and Prediction.
