Related Experiment Video
Updated: Aug 26, 2025

07:37
Construction and Implementation of Carbon Fiber Microelectrode Arrays for Chronic and Acute In Vivo Recordings
Published on: August 5, 2021
4.0K
Thin flexible arrays for long-term multi-electrode recordings in macaque primary visual cortex
Lara Merken1,2, Maarten Schelles3,4, Frederik Ceyssens4
1Laboratory for Neuro- and Psychophysiology, KU Leuven, Leuven 3000, Belgium.
Journal of Neural Engineering
|October 10, 2022
Summary
New flexible multi-electrode arrays (MEAs) enable long-term, high-density neural recordings in large animals. These brain-compatible arrays offer improved scalability and coverage for future brain-machine interfaces.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Implantable Devices
Background:
- Large-scale invasive neural recordings are crucial for neuroscience research.
- Existing technologies face challenges in large animals due to brain size and complexity.
- There is a need for chronic, high-density neural recording solutions in primates and humans.
Purpose of the Study:
- To evaluate thin, flexible multi-electrode arrays (MEAs) for long-term neural recording in macaque monkeys.
- To assess the electrical, mechanical, and magnetic resonance imaging (MRI) properties of the MEAs.
- To determine the capacity of MEAs for recording neuronal activity over one year.
Main Methods:
- Flexible MEAs with resorbable poly(lactic-co-glycolic acid) coating were designed for insertion.
- Arrays were implanted into the primary visual cortex of two macaque monkeys.
- In vivo and ex vivo MRI compatibility and neural recording capabilities were assessed over 12 months.
Main Results:
- The MEAs demonstrated excellent MRI compatibility.
- Clear single-unit and multi-unit activity (MUA) were recorded from a high percentage of electrodes.
- Stable MUA responses and receptive fields were maintained for up to one year post-implantation.
Conclusions:
- Thin, flexible MEAs offer significant advantages in brain tissue compliance, scalability, and coverage compared to existing arrays.
- These MEAs show promise for advanced brain-machine interface applications in humans.
- The developed technology facilitates long-term, high-resolution neural monitoring in large animal models.

