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Description

Neuronal electrophysiology implants are essential tools in neuroscience for recording brain activity and investigating neurological disorders. Our lab’s previous 3D-printed implant designs centered around a single-site, recording platform that was limited in adaptability, precision, and lacked in vivo validation due to lingering engineering malfunctions. To combat limitations and expand recording capabilities, this project aimed to design and validate a new implant capable of multi-site, bilateral recordings across both brain hemispheres, specifically targeting the hippocampus (CA1 and CA3) and anterior cingulate cortex (ACC), regions critical for learning and memory. Building on the Open Ephys ShuttleDrive model, the implant was redesigned using 3D modeling software (TinkerCAD) and fabricated through resin-based 3D printing. Multiple prototypes underwent iterative refinement and assembly testing, followed by three successful surgical implantation trials in rodent models to assess mechanical reliability and recording stability. The final design achieved stable electrophysiological recordings, precise targeting of multiple brain regions, full vertical movement of tetrodes, and improved ease of assembly through protocol innovations. Mechanical performance was further enhanced through modifications to the hyperdrive and the addition of the cannula guide platform, a new piece which standardizes implant site dimensions while allowing flexible adjustment of site number and location. This work introduces a novel and validated multi-site implant design that expands targeting capabilities from a single-site to a four-site configuration. The resulting platform enhances reproducibility and precision, advancing both our laboratory’s research and the broader field’s ability to investigate neural activity and cognitive function.

Publisher Location

Las Vegas (Nev.)

Publication Date

Fall 11-21-2025

Publisher

University of Nevada, Las Vegas

Language

English

Keywords

Neuroscience; Psychology; Electrophysiology; Bioengineering; Cognition

Disciplines

Life Sciences | Neuroscience and Neurobiology

File Format

PDF

File Size

5400 KB

Comments

Mentor: James Hyman

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Design and Validation of a Bilateral, Multi-Site 3D-Printed Neuronal Implant for Rodent Electrophysiology


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