| Autor: |
Ikegaya N; Departments of1Neurological Surgery., Mallela AN; Departments of1Neurological Surgery., Warnke PC; Departments of2Neurological Surgery and., Kunigk NG; 3Bioengineering, and.; 4Rehab Neural Engineering Labs, University of Pittsburgh, Pennsylvania., Liu F; 4Rehab Neural Engineering Labs, University of Pittsburgh, Pennsylvania.; 5Physical Medicine and Rehabilitation, University of Pittsburgh, Pennsylvania., Schone HR; 4Rehab Neural Engineering Labs, University of Pittsburgh, Pennsylvania.; 5Physical Medicine and Rehabilitation, University of Pittsburgh, Pennsylvania., Verbaarschot C; 4Rehab Neural Engineering Labs, University of Pittsburgh, Pennsylvania.; 5Physical Medicine and Rehabilitation, University of Pittsburgh, Pennsylvania., Hatsopoulos NG; 6Organismal Biology and Anatomy, University of Chicago, Illinois; and., Downey JE; 6Organismal Biology and Anatomy, University of Chicago, Illinois; and., Boninger ML; 3Bioengineering, and.; 4Rehab Neural Engineering Labs, University of Pittsburgh, Pennsylvania.; 5Physical Medicine and Rehabilitation, University of Pittsburgh, Pennsylvania., Gaunt R; 3Bioengineering, and.; 4Rehab Neural Engineering Labs, University of Pittsburgh, Pennsylvania.; 5Physical Medicine and Rehabilitation, University of Pittsburgh, Pennsylvania., Collinger JL; 3Bioengineering, and.; 4Rehab Neural Engineering Labs, University of Pittsburgh, Pennsylvania.; 5Physical Medicine and Rehabilitation, University of Pittsburgh, Pennsylvania., Gonzalez-Martinez JA; Departments of1Neurological Surgery. |
| Abstrakt: |
Precise anatomical implantation of a microelectrode array is fundamental for successful brain-computer interface (BCI) surgery, ensuring high-quality, robust signal communication between the brain and the computer interface. Robotic neurosurgery can contribute to this goal, but its application in BCI surgery has been underexplored. Here, the authors present a novel robot-assisted surgical technique to implant rigid intracortical microelectrode arrays for the BCI. Using this technique, the authors performed surgery in a 31-year-old male with tetraplegia due to a traumatic C4 spinal cord injury that occurred a decade earlier. Each of the arrays was embedded into the parenchyma with a single insertion without complication. Postoperative imaging verified that the devices were placed as intended. With the motor cortex arrays, the participant successfully accomplished 2D control of a virtual arm and hand, with a success rate of 20 of 20 attempts, and recording quality was maintained at 100 and 200 days postimplantation. Intracortical microstimulation of the somatosensory cortex arrays elicited sensations in the fingers and palm. A robotic neurosurgery technique was successfully translated into BCI device implantation as part of an early feasibility trial with the long-term goal of restoring upper-limb function. The technique was demonstrated to be accurate and subsequently contributed to high-quality signal communication. |
