Rxivist logo

Classification of electrically-evoked compound action potentials in the parkinsonian subthalamic nucleus region

By Joshua Rosing, Alex Doyle, AnneMarie Brinda, Madeline Blumenfeld, Emily Lecy, Chelsea Spencer, Joan Dao, Jordan Krieg, Lucius K Wilmerding, Disa Sullivan, Sendréa Best, Biswaranjan Mohanty, Jing Wang, Luke A Johnson, Jerrold L Vitek, Matthew D Johnson

Posted 29 Apr 2022
bioRxiv DOI: 10.1101/2022.04.28.489769

Electrically evoked compound action potentials (ECAPs) generated in the subthalamic nucleus (STN) contain features that may be useful for titrating deep brain stimulation (DBS) therapy for Parkinson's disease. Delivering a strong therapeutic effect with DBS therapies, however, relies on selectively targeting neural pathways to avoid inducing side effects. In this study, we investigated the spatiotemporal features of ECAPs in and around the STN across parameter sweeps of stimulation current amplitude, pulse width, and electrode configuration, and used a linear classifier of ECAP responses to predict electrode location. Four non-human primates were implanted unilaterally with either a directional (n=3) or non-directional (n=1) DBS lead targeting the sensorimotor STN. ECAP responses were characterized by primary features (within 1.6 ms after a stimulus pulse) and secondary features (between 1.6-7.4 ms after a stimulus pulse). Using these ECAP features, a linear classifier was able to accurately differentiate electrodes within the STN versus dorsal to the STN in all four subjects. ECAP responses varied systematically with recording and stimulating electrode locations, which provides a subject-specific neuroanatomical basis for selecting electrode configurations in the treatment of Parkinson's disease with DBS therapy.

Download data

  • Downloaded 138 times
  • Download rankings, all-time:
    • Site-wide: 194,289
    • In neuroscience: 28,091
  • Year to date:
    • Site-wide: 69,539
  • Since beginning of last month:
    • Site-wide: 51,809

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

News