Scott F. Lempka

This study uses computational models to investigate how anatomical and stimulation parameters affect ECAPs during spinal cord stimulation, revealing trade-offs and optimization strategies.

This study evaluates how electrode size and stimulation configurations affect nerve selectivity in spinal cord stimulation, finding that 500 µm electrodes provide the best selectivity.

This study shows that lateral spinal cord stimulation (LSCS) selectivity is limited by the coarse organization of lumbar dorsal rootlets, not electrode design, and suggests improving electrode placement may enhance percept localization.

This paper identifies mechanisms of excitatory-inhibitory balance dysregulation in spinal cord dorsal horn subcircuits that contribute to allodynia, revealing subcircuit-specific vulnerabilities and potential therapeutic targets.

This study identifies and characterizes sources of artifact contaminating evoked compound action potentials (ECAPs) in epidural spinal cord recordings, highlighting challenges in distinguishing neural signals from artifacts in a swine model.

The paper models the Injectrode system to determine how design parameters affect neural activation, finding that larger surface area reduces pain-related activation.

This paper introduces a new electrical stimulation waveform that evokes more naturalistic neural activity than traditional methods, as shown by human experiments and computational modeling.

This study uses computational modeling to show how the geometry of Aδ neuron initial segments affects extracellular voltage waveforms recorded by microelectrodes in dorsal root ganglia.

The paper introduces an open-source SCS model with high anatomical detail and precision for simulating spinal cord stimulation.