Real Time Subthalamic Nucleus Navigation
Alpha Omega, together with Prof. Hagai Bergman and Prof. Zvi Israel and their colleagues, developed the HaGuide algorithm, a real-time software solution designed to accurately detect the Subthalamic Nucleus (STN), demarcating the entrance and exit boundaries using microelectrode recording (MER) during surgery.
In addition, the HaGuide robustly detects subregion boundaries in the STN: the motor Dorsolateral Oscillatory Region (DLOR) and the nonmotor Ventromedial non-oscillatory region (VMNR). Once the HaGuide has identified the STN in all trajectories, it recommends the optimal location for stimulation.
The HaGuide algorithm is integrated into the Neuro Omega and NeuroSmart MER systems. The algorithm is used for targeting the STN, as well as other structures such as the GPi and the VIM during deep brain stimulation (DBS) procedures.
- Stimulation Recommendation location for optimal therapeutic benefit based on LFP analysis.
- Displays quantitative changes in background noise and plots dominant LFP frequencies throughout the MER trajectory in real-time.
- Easy and clear identification of the STN entry and exit
- Detection of distinct motor and non-motor subregions inside of the STN
- Visualization of the implanted DBS lead relative to entry and exit of the target
- Automatic Driving under user control via remote control
" After thirty years of experience with microelectrode recording in different settings, I decided to test HaGuide in some surgeries: HaGuide is the ultimate advising tool for interpreting microelectrode recording".
José Luis Relova, MD, PhD, Santiago Clinic Hospital
"Automatic systems overcome the bias of human operators and enable better STN targeting where electrophysiology interpretation of MER data is not available"
Prof. Hagai Bergman, MD, PhD, Hadassah Medical Center
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