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Silk-enabled conformal intraventricular interfaces for minimally invasive neural recordings
Jizhi Liang1,2, Xiner Wang1,2, Zhaohan Chen3
12020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Nature Communications
|October 23, 2025
Summary
Researchers developed a flexible intraventricular interface (IVI) for monitoring deep brain activity. This novel neural interface successfully recorded brain signals in parkinsonian sheep for four weeks, aiding neural circuit studies.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Medical Devices
Background:
- Subcortical neural activity monitoring is crucial for understanding brain circuits.
- A lack of translational tools exists for interfacing with subcortical nuclei within cerebrospinal fluid.
Purpose of the Study:
- To develop a flexible and conformal intraventricular interface (IVI) for minimally invasive subcortical neural monitoring.
- To assess the IVI's ability to record neural signals and its biocompatibility in vivo.
Main Methods:
- Developed a flexible, deformable microelectrode array integrated with a silk scaffold for the IVI.
- Implanted the IVI minimally invasively into lateral ventricles using clinical catheters.
- Evaluated signal quality and biocompatibility through chronic recordings in parkinsonian ewes for four weeks.
Main Results:
- The IVI self-unfolded and conformed to periventricular neural structures within the cerebrospinal fluid.
- High-quality neural signals were captured due to in-plane microelectrode shielding.
- Stable, biocompatible in vivo recordings were achieved for four weeks in parkinsonian ewes, detecting deep brain abnormalities.
Conclusions:
- The IVI platform enables chronic monitoring and circuit analysis of deep brain regions, both healthy and diseased.
- Facilitates studies on neural circuits connecting periventricular surface neurons with distant brain areas.
- Represents a significant advancement in translational tools for subcortical neural interface research.

