Synchronizing microelectrode and electronic goniometer data using a pseudo-random binary signal

Abstract

Intra-operative investigation of the subthalamic nucleus (STN) requires concurrent measurement of microelectrode voltage, electrode depth and joint movement during deep brain stimulation (DBS) surgery. Commercial solutions to this problem exist but are more expensive. Multiple instruments from different manufacturers can collect the same data, but data from incompatible instruments are collected on disparate clocks, precluding quantitative analysis. A pseudo-random binary signal recorded simultaneously by each set of instruments allows for chronological reconciliation. A custom program collects microelectrode data while simultaneously sending a pseudo-random binary signal to instruments measuring joint movement. The record of this signal is later used to express microelectrode voltage and joint position in a single chronological frame of reference. ClockSynch was used in 15 DBS procedures. After each surgery, records of microelectrode and joint movement were successfully chronologically reconciled. In conclusion, a pseudo-random binary signal integrates disparate systems of instrumentation at a significantly decreased cost.

• Computer software
• data processing
• automatic
• data linkage
• brain stimulation
• deep
• brain electrical activity mapping

Acknowledgements

Thanks to Dr Theodore Weyand for interpreting microelectrode data and thanks to Dr Marina Abramova and Kalyn Horst for help with grant writing.