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Progress in Mechanical Modeling of Implantable Flexible Neural Probes

Xiaoli You1,2,3,, Ruiyu Bai1,2,3,4,, Kai Xue1,2,3, Zimo Zhang1,2,3, Minghao Wang5, Xuanqi Wang1,2,3, Jiahao Wang1,2,3, Jinku Guo1,2, Qiang Shen3, Honglong Chang3, Xu Long6,*, Bowen Ji1,2,3,*

1 Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, 710072, China
2 National Key Laboratory of Unmanned Aerial Vehicle Technology, Northwestern Polytechnical University, Xi’an, 710072, China
3 Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, 710072, China
4 School of Automobile, Chang’an University, Xi’an, 710018, China
5 MOE Engineering Research Center of Smart Microsensors and Microsystems, College of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China
6 School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi’an, 710129, China

* Corresponding Authors: Xu Long. Email: email; Bowen Ji. Email: email

Computer Modeling in Engineering & Sciences 2024, 140(2), 1205-1231.


Implanted neural probes can detect weak discharges of neurons in the brain by piercing soft brain tissue, thus as important tools for brain science research, as well as diagnosis and treatment of brain diseases. However, the rigid neural probes, such as Utah arrays, Michigan probes, and metal microfilament electrodes, are mechanically unmatched with brain tissue and are prone to rejection and glial scarring after implantation, which leads to a significant degradation in the signal quality with the implantation time. In recent years, flexible neural electrodes are rapidly developed with less damage to biological tissues, excellent biocompatibility, and mechanical compliance to alleviate scarring. Among them, the mechanical modeling is important for the optimization of the structure and the implantation process. In this review, the theoretical calculation of the flexible neural probes is firstly summarized with the processes of buckling, insertion, and relative interaction with soft brain tissue for flexible probes from outside to inside. Then, the corresponding mechanical simulation methods are organized considering multiple impact factors to realize minimally invasive implantation. Finally, the technical difficulties and future trends of mechanical modeling are discussed for the next-generation flexible neural probes, which is critical to realize low-invasiveness and long-term coexistence in vivo.


Cite This Article

APA Style
You, X., Bai, R., Xue, K., Zhang, Z., Wang, M. et al. (2024). Progress in mechanical modeling of implantable flexible neural probes. Computer Modeling in Engineering & Sciences, 140(2), 1205-1231.
Vancouver Style
You X, Bai R, Xue K, Zhang Z, Wang M, Wang X, et al. Progress in mechanical modeling of implantable flexible neural probes. Comput Model Eng Sci. 2024;140(2):1205-1231
IEEE Style
X. You et al., "Progress in Mechanical Modeling of Implantable Flexible Neural Probes," Comput. Model. Eng. Sci., vol. 140, no. 2, pp. 1205-1231. 2024.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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