TY - JOUR TI - Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson’s disease AU - Merk, Timon AU - Peterson, Victoria AU - Lipski, Witold J AU - Blankertz, Benjamin AU - Turner, Robert S AU - Li, Ningfei AU - Horn, Andreas AU - Richardson, Robert Mark AU - Neumann, Wolf-Julian A2 - Swann, Nicole C A2 - Frank, Michael J A2 - Wilkins, Kevin VL - 11 PY - 2022 DA - 2022/05/27 SP - e75126 C1 - eLife 2022;11:e75126 DO - 10.7554/eLife.75126 UR - https://doi.org/10.7554/eLife.75126 AB - Brain signal decoding promises significant advances in the development of clinical brain computer interfaces (BCI). In Parkinson’s disease (PD), first bidirectional BCI implants for adaptive deep brain stimulation (DBS) are now available. Brain signal decoding can extend the clinical utility of adaptive DBS but the impact of neural source, computational methods and PD pathophysiology on decoding performance are unknown. This represents an unmet need for the development of future neurotechnology. To address this, we developed an invasive brain-signal decoding approach based on intraoperative sensorimotor electrocorticography (ECoG) and subthalamic LFP to predict grip-force, a representative movement decoding application, in 11 PD patients undergoing DBS. We demonstrate that ECoG is superior to subthalamic LFP for accurate grip-force decoding. Gradient boosted decision trees (XGBOOST) outperformed other model architectures. ECoG based decoding performance negatively correlated with motor impairment, which could be attributed to subthalamic beta bursts in the motor preparation and movement period. This highlights the impact of PD pathophysiology on the neural capacity to encode movement vigor. Finally, we developed a connectomic analysis that could predict grip-force decoding performance of individual ECoG channels across patients by using their connectomic fingerprints. Our study provides a neurophysiological and computational framework for invasive brain signal decoding to aid the development of an individualized precision-medicine approach to intelligent adaptive DBS. KW - deep brain stimulation KW - machine learning KW - neuromodulation KW - basal ganglia JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -