Cortex-wide neural interfacing via transparent polymer skulls

Leila Ghanbari, Russell E. Carter, Mathew L. Rynes, Judith Dominguez, Gang Chen, Anant Naik, Jia Hu, Md Abdul Kader Sagar, Lenora Haltom, Nahom Mossazghi, Madelyn M. Gray, Sarah L. West, Kevin W. Eliceiri, Timothy J. Ebner and Suhasa B. Kodandaramaiah ()
Additional contact information
Leila Ghanbari: University of Minnesota
Russell E. Carter: University of Minnesota
Mathew L. Rynes: University of Minnesota
Judith Dominguez: University of Minnesota
Gang Chen: University of Minnesota
Anant Naik: University of Minnesota
Jia Hu: University of Minnesota
Md Abdul Kader Sagar: University of Wisconsin
Lenora Haltom: University of Minnesota
Nahom Mossazghi: University of Minnesota
Madelyn M. Gray: University of Minnesota
Sarah L. West: University of Minnesota
Kevin W. Eliceiri: University of Wisconsin
Timothy J. Ebner: University of Minnesota
Suhasa B. Kodandaramaiah: University of Minnesota

Nature Communications, 2019, vol. 10, issue 1, 1-13

Abstract: Abstract Neural computations occurring simultaneously in multiple cerebral cortical regions are critical for mediating behaviors. Progress has been made in understanding how neural activity in specific cortical regions contributes to behavior. However, there is a lack of tools that allow simultaneous monitoring and perturbing neural activity from multiple cortical regions. We engineered ‘See-Shells’—digitally designed, morphologically realistic, transparent polymer skulls that allow long-term (>300 days) optical access to 45 mm2 of the dorsal cerebral cortex in the mouse. We demonstrate the ability to perform mesoscopic imaging, as well as cellular and subcellular resolution two-photon imaging of neural structures up to 600 µm deep. See-Shells allow calcium imaging from multiple, non-contiguous regions across the cortex. Perforated See-Shells enable introducing penetrating neural probes to perturb or record neural activity simultaneously with whole cortex imaging. See-Shells are constructed using common desktop fabrication tools, providing a powerful tool for investigating brain structure and function.

Date: 2019
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DOI: 10.1038/s41467-019-09488-0

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