Abstract
We developed a novel technique to visualize the electrophysiological phenomenon of high frequency oscillation (HFO) in real time for bed-side use and intraoperative monitoring during awake craniotomy. We investigated four patients with intractable epilepsy and three with brain tumor who underwent lesion resection via awake craniotomy. For data acquisition and processing, we used a 256-channel g.HIamp and MATLAB 2012b. For the bedside HFO mapping, motor and language-related functions were identified and validated by electrocortical stimulation (ECS). During the awake craniotomy, we analyzed the brain oscillation frequency components in real time and used HFO mapping to identify the functional areas. Real-time HFO mapping rapidly indicated the eloquent epicenters of the motor and language functions and significantly shortened the awake craniotomy operation time. This technique makes intraoperative monitoring more reliable, and enabled us to devise rational and objective operation strategies for each patient.
