Deep brain stimulation (DBS) therapy is a potent tool for treating a range of brain disorders. High frequency stimulation (HFS) patterns used in DBS therapy are known to modulate neuronal spike rates and patterns in the stimulated nucleus; however, the spatial distribution of these modulated responses are not well understood. Computational models suggest that HFS modulates a volume of tissue spatially concentrated around the active electrode. Here, we tested this theory by investigating modulation of spike rates and patterns in non-human primate motor thalamus while stimulating the cerebellar-receiving area of motor thalamus, the primary DBS target for treating Essential Tremor. HFS inhibited spike activity in the majority of recorded cells, but increasing stimulation amplitude also shifted the response to a greater degree of spike pattern modulation. Modulated responses in both categories exhibited a sparse and long-range spatial distribution within motor thalamus, suggesting that stimulation preferentially affects afferent and efferent axonal processes traversing near the active electrode and that the resulting modulated volume strongly depends on the local connectome of these axonal processes. Such findings have important implications for current clinical efforts building predictive computational models of DBS therapy, developing directional DBS lead technology, and formulating closed-loop DBS strategies.
Bibliographical noteFunding Information:
This work was supported by the National Institutes of Health under grants R01-NS081118 and R01-NS094206, and by a MnDRIVE fellowship (to YX). We thank Rio Vetter, Jamie Hetke, KC Kong, and Rob Shoemaker from Neuronexus Technologies for helping with the design and fabrication of the DBS arrays. We thank Noam Harel, Essa Yacoub, and Gregor Adriany at the Center for Magnetic Resonance Research for assistance with the imaging (NIH P41-EB015894, P30-076408, U54-MH091657). We also thank Kenneth Baker for helpful discussion, and thank Alexandra Doyle, Edgar Peña, Julia Slopsema, Logan Grado, and Nate Faber for help with the experiments.
© 2018 The Author(s).