Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface
Eric M. TrautmanniD, Daniel J. O’SheaiD, Xulu SuniD, James H. MarsheliD, Ailey Crow, Brian HsuehiD, Sam S. VesunaiD, Lucas B. CoferiD, Gergő Bohner, Will Allen, Isaac KauvariD, Sean QuiriniD, Matthew MacDougall, Yuzhi CheniD, Matthew P. Whitmire, Charu RamakrishnaniD, Maneesh SahaniiD, Eyal SeidemanniD, Stephen I. RyuiD, Karl A. DeisserothiD, K.V. ShenoyiD
Abstract
Calcium imaging has rapidly developed into a powerful tool for recording from large populations of neurons in vivo. Imaging in rhesus macaque motor cortex can enable the discovery of new principles of motor cortical function and can inform the design of next generation brain-computer interfaces (BCIs). Surface two-photon (2P) imaging, however, cannot presently access somatic calcium signals of neurons from all layers of macaque motor cortex due to photon scattering. Here, we demonstrate an implant and imaging system capable of chronic, motion-stabilized two-photon (2P) imaging of calcium signals from in macaques engaged in a motor task. By imaging apical dendrites, some of which originated from deep layer 5 neurons, as as well as superficial cell bodies, we achieved optical access to large populations of deep and superficial cortical neurons across dorsal premotor (PMd) and gyral primary motor (M1) cortices. Dendritic signals from individual neurons displayed tuning for different directions of arm movement, which was stable across many weeks. Combining several technical advances, we developed an optical BCI (oBCI) driven by these dendritic signals and successfully decoded movement direction online. By fusing 2P functional imaging with CLARITY volumetric imaging, we verify that an imaged dendrite, which contributed to oBCI decoding, originated from a putative Betz cell in motor cortical layer 5. This approach establishes new opportunities for studying motor control and designing BCIs.
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