用于辅助柔性神经电极深度植入的槽形截面硅针的设计
收稿日期: 2020-10-20
网络出版日期: 2022-06-07
基金资助
国家自然科学基金资助项目(51675330)
Design of a Grooved Cross-Section Silicon Needle for Assisting Deep Implantation of Flexible Neural Probe
Received date: 2020-10-20
Online published: 2022-06-07
贺雨欣, 张文光, 许李悦, 周旭晖 . 用于辅助柔性神经电极深度植入的槽形截面硅针的设计[J]. 上海交通大学学报, 2022 , 56(5) : 648 -655 . DOI: 10.16183/j.cnki.jsjtu.2020.341
Aimed at the buckling problem of deep implantation of flexible neural probe, a grooved cross-section silicon needle is designed as an auxiliary implant tool to provide temporary stiffness for probe implantation. In order to quantitatively evaluate the comprehensive performance of auxiliary tools, combining critical buckling force and cross-section area, and considering mechanical and biological properties, the performance evaluation index of auxiliary tools is proposed. Based on this evaluation index, the optimal groove depth ratio and groove width ratio of the grooved cross-section silicon needle are studied. The best groove depth ratio is the maximum value within the process requirements while the best groove width ratio increases with the thickness of the silicon needle. Moreover, the performance evaluation index is used to quantitatively prove that the grooved cross-section silicon needle has obvious performance advantages over the traditional circular and rectangular cross-section silicon needles. The simulation design of the grooved cross-section silicon needle is conducive to screening the best parameter combination of the cross-section, reducing the number of processing and the cost of experiments.
[1] | DONOGHUE J P. Bridging the brain to the world: A perspective on neural interface systems[J]. Neuron, 2008, 60(3): 511-521. |
[2] | TORRES C V, IZA-VALLEJO B, NAVAS-GARCÍA M, et al. Deep brain stimulation in drug-resistant epilepsy[J]. Revista De Neurologia, 2020, 70(5): 183-192. |
[3] | KOZAI T D Y, JAQUINS-GERSTL A S, VAZQUEZ A L, et al. Brain tissue responses to neural implants impact signal sensitivity and intervention strategies[J]. ACS Chemical Neuroscience, 2015, 6(1): 48-67. |
[4] | LECOMTE A, DESCAMPS E, BERGAUD C. A review on mechanical considerations for chronically-implanted neural probes[J]. Journal of Neural Engineering, 2018, 15(3): 031001. |
[5] | CEYSSENS F, WELKENHUYSEN M, PUERS R. Anisotropic etching in (3 1 1) Si to fabricate sharp resorbable polymer microneedles carrying neural electrode arrays[J]. Journal of Micromechanics and Microengineering, 2019, 29(2): 027001. |
[6] | WARE T, SIMON D, LIU C, et al. Thiol-ene/acrylate substrates for softening intracortical electrodes[J]. Journal of Biomedical Materials Research, Part B: Applied Biomaterials, 2014, 102(1): 1-11. |
[7] | WARE T, SIMON D, ARREAGA-SALAS D E, et al. Fabrication of responsive, softening neural interfaces[J]. Advanced Functional Materials, 2012, 22(16): 3470-3479. |
[8] | ZHANG S, WANG C J, GAO H, et al. A removable insertion shuttle for ultraflexible neural probe implantation with stable chronic brain electrophysiological recording[J]. Advanced Materials Interfaces, 2020, 7(6): 1901775. |
[9] | ZHAO Z G, KIM E, LUO H, et al. Flexible deep brain neural probes based on a parylene tube structure[J]. Journal of Micromechanics and Microengineering, 2018, 28(1): 015012. |
[10] | JOO H R, FAN J L, CHEN S, et al. A microfabricated, 3D-sharpened silicon shuttle for insertion of flexible electrode arrays through dura mater into brain[J]. Journal of Neural Engineering, 2019, 16(6): 066021. |
[11] | NA K, SPERRY Z J, LU J, et al. Novel diamond shuttle to deliver flexible neural probe with reduced tissue compression[J]. Microsystems & Nanoengineering, 2020, 6: 37. |
[12] | LUAN L, WEI X, ZHAO Z, et al. Ultraflexible nanoelectronic probes form reliable, glial scar-free neural integration[J]. Science Advances, 2017, 3(2): e1601966. |
[13] | ZHAO Z, LI X, HE F, et al. Parallel, minimally-invasive implantation of ultra-flexible neural electrode arrays[J]. Journal of Neural Engineering, 2019, 16(3): 035001. |
[14] | ZHANG W G, MA Y K, LI Z W. Experimental evaluation of neural probe’s insertion induced injury based on digital image correlation method[J]. Medical Physics, 2016, 43(1): 505-512. |
[15] | HARRIS J P, HESS A E, ROWAN S J, et al. In vivo deployment of mechanically adaptive nanocomposites for intracortical microelectrodes[J]. Journal of Neural Engineering, 2011, 8(4): 046010. |
[16] | REZAEI S, XU Y, PANG S W. Control of neural probe shank flexibility by fluidic pressure in embedded microchannel using PDMS/PI hybrid substrate[J]. PLoS One, 2019, 14(7): e0220258. |
[17] | FELIX S H, SHAH K G, TOLOSA V M, et al. Insertion of flexible neural probes using rigid stiffeners attached with biodissolvable adhesive[J]. Journal of Visualized Experiments, 2013(79): e50609. |
[18] | ANDREI A, WELKENHUYSEN M, NUTTIN B, et al. A response surface model predicting the in vivo insertion behavior of micromachined neural implants[J]. Journal of Neural Engineering, 2012, 9(1): 016005. |
[19] | 黎立云, 刘大安. 中心受压杆安全系数的选取[J]. 力学与实践, 1983, 5(4): 47-49. |
[19] | LI Liyun, LIU Da’an. Selection of safety factor of central compression bar[J]. Mechanics and Engineering, 1983, 5(4): 47-49. |
[20] | 凌伟, 文毅, 殷民. 材料力学[M]. 西安: 西安交通大学出版社, 2014. |
[20] | LING Wei, WEN Yi, YIN Min. Mechanics of materials[M]. Xi’an: Xi’an Jiaotong University Press, 2014. |
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