A 3D-printed modular implant for extracellular recordings.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Surgical Technology

Background:

• Chronic implants for neural data acquisition face challenges integrating short surgical times, precise fit, long-term stability, and subject comfort.
• Existing implants often require lengthy procedures and are difficult to modify post-implantation.

Purpose of the Study:

• To develop and evaluate a novel, 3D-printed, modular implant system for neural data acquisition.
• To address the limitations of traditional implants by enabling easier modifications and longer-term use.

Main Methods:

• A modular implant system was designed using 3D printing, featuring an individually fitted base and securely attached, replaceable components.
• The system allows for component exchange and repositioning through minimally invasive procedures without new incisions or drilling.
• Long-term electrophysiological data acquisition was performed on a free-moving subject using the modular implant.

Main Results:

• Single and multi-unit neural data were reliably acquired for up to 86 days post-implantation.
• Following component replacement, similar data quality was maintained for an additional 11 days.
• The modular design facilitated component recovery and reuse.

Conclusions:

• The novel 3D-printed modular implant system reduces surgical duration and enables minimally invasive follow-up procedures.
• This approach ensures stable, long-term data acquisition, increasing the success rate of extended experimental paradigms.
• The design contributes to reducing subject usage and improving experimental efficiency.