Flexible MEMS Neural Interface for Long-Term Minimally Invasive Deep-Brain Recording Within CSF Environments
Abstract
This paper presents a flexible deep-brain neural interface fabricated using MEMS technology, consisting of a deformable microelectrode array mechanically coupled to a shape-memory silk fibroin scaffold. The device is delivered to the lateral ventricle via standard neurosurgical catheters and, upon exposure to cerebrospinal fluid (CSF), self-unfolds to conformally appose periventricular surfaces and support stable, high-fidelity electrophysiological recordings. In a chronic Parkinson disease (PD) sheep model, implantation targeting the head of the caudate nucleus enabled minimally invasive intraventricular recordings over a four-week period in freely moving animals. Longitudinal analysis of pathological oscillatory activity, particularly in the beta band, demonstrates that chronic intraventricular electrophysiology provides a viable route for tracking dynamic neural biomarkers during Parkinsonian disease progression.
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Cites
Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings.
Steinmetz, N. A., Aydin, C., Lebedeva, A., Okun, M., Pachitariu, M., Bauza, M., Beau, M., Bhagat, J., Böhm, C., Broux, M., et al. (2021) · Science · doi:10.1126/science.abf4588 · Cited by 1,173 · cited 1× · see citing works
“…as stereo-electroencephalography (SEEG) leads and high-density depth probes can be advanced directly into deep nuclei, but their mechanical mismatch with soft brain tissue and straight-line insertion trajectories raise the risk of local damage and limit the extent of accessible surface area [1,2].”
Underwater and wet adhesion strategies for hydrogels in biomedical applications
Yuen, H. Y., Bei, H., & Zhao, X. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.133372 · Cited by 143 · see citing works
Large-scale high-density brain-wide neural recording in nonhuman primates
Trautmann, E. M., Hesse, J. K., Stine, G. M., Xia, R., Zhu, S., O’Shea, D. J., Karsh, B., Colonell, J. I., Lanfranchi, F. F., Vyas, S., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01976-5 · Cited by 113 · see citing works
Wei, S., Jiang, A., Sun, H., Zhu, J., Jia, S., Liu, X., Xu, Z. J., Zhang, J., Shang, Y., Fu, X., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-44805-2 · Cited by 65 · see citing works
Brain ventricles as windows into brain development and disease
Duy, P. Q., RAKIC, P. T., Alper, S. L., Butler, W. E., Walsh, C. A., Šestan, N., Geschwind, D. H., Jin, S. C., & Kahle, K. T. (2022) · Neuron · doi:10.1016/j.neuron.2021.12.009 · Cited by 58 · see citing works
Liang, J., Lai, S., Wang, X., Chen, Z., Wei, X., Sun, L., Tao, T. H., & Zhou, Z. (2025) · IEEE International Conference on Micro Electro Mechanical Systems (MEMS) · doi:10.1109/mems61431.2025.10918019 · Cited by 3 · see citing works
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- Authors
- Liang, J., Li, X., Wang, X., Tao, T. H., & Zhou, Z.
- Affiliations
- Chinese Academy of Sciences (CN)
- University of Chinese Academy of Sciences (CN)
- Neuroxess Co., Ltd.,Shanghai,China
- Venue
- 2026 IEEE 39th International Conference on Micro Electro Mechanical Systems (MEMS)
- Publisher
- IEEE
- Published
- 2026-01-25
- Pages
- 223-226
- ISSN
- 1084-6999 (ISSN-L)
- OpenAlex
- W7135043727
- Cited by
- 0
- References
- 6
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Micro Electro Mechanical Systems (MEMS) (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MEMS and NEMS Technologies
- Keywords
- flexible neural interfaces, cerebrospinal fluid, deep brain recording, Parkinson's disease, beta oscillations, caudate nucleus, chronic electrophysiology, sheep model, neural markers
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