Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, United States; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, United States
Sharlene N Flesher
Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, United States; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, United States; Department of Neurosurgery, Stanford University, Stanford, United States; Department of Electrical Engineering, Stanford University, Stanford, United States
Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, United States; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, United States
Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, United States; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, United States; Human Engineering Research Laboratories, VA Center of Excellence, Department of Veterans Affairs, Pittsburgh, United States
Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, United States; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, United States; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, United States; Human Engineering Research Laboratories, VA Center of Excellence, Department of Veterans Affairs, Pittsburgh, United States
Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, United States; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, United States; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, United States
Microstimulation in the somatosensory cortex can evoke artificial tactile percepts and can be incorporated into bidirectional brain–computer interfaces (BCIs) to restore function after injury or disease. However, little is known about how stimulation parameters themselves affect perception. Here, we stimulated through microelectrode arrays implanted in the somatosensory cortex of two human participants with cervical spinal cord injury and varied the stimulus amplitude, frequency, and train duration. Increasing the amplitude and train duration increased the perceived intensity on all tested electrodes. Surprisingly, we found that increasing the frequency evoked more intense percepts on some electrodes but evoked less-intense percepts on other electrodes. These different frequency–intensity relationships were divided into three groups, which also evoked distinct percept qualities at different stimulus frequencies. Neighboring electrode sites were more likely to belong to the same group. These results support the idea that stimulation frequency directly controls tactile perception and that these different percepts may be related to the organization of somatosensory cortex, which will facilitate principled development of stimulation strategies for bidirectional BCIs.