Automatic identification of sweet spots from MERs for electrodes implantation in STN-DBS

Real-Time Precise Targeting of the Subthalamic Nucleus via Transfer Learning in a Rat Model of Parkinson’s Disease Based on Microelectrode Arrays

“…Therefore, APOs has been used to validate the onset of Parkinson's disease symptoms in rat models [10], [11]. Generally, inhibiting dopamine transmission results in elevated beta oscillations (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and enhanced spike firing rates in the STN [12], [13]. More recently, studies have reported the possibility of recordings about oscillatory and spike activity in this PD model using microelectrode arrays (MEAs).…”

“…LFPs have been proven to be robust guidance tools for identifying the STN. Beta band oscillatory activity (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) is enhanced in patients with PD [13]. The delta band (0-4 Hz) has also been positively linked to tremor and voluntary movement [18].…”

“…On the other hand, spike characteristics vary across different brain regions. Properties such as waveform amplitude and spike firing rate are enhanced in the STN compared to these properties in other brain regions [19], [20], [21]. Thus, it may prove valuable to broaden our focus beyond just the specific oscillatory patterns and account for the distinctive features of spike firing characteristics.…”