journal article·2023-03Open access

4D‐Printed Soft and Stretchable Self‐Folding Cuff Electrodes for Small‐Nerve Interfacing

Lukas Hiendlmeier, Francisco Zurita, Jonas Vogel, Fulvia Del Duca, George Al Boustani, Hu Peng, Inola Kopic, Marta Nikić, Tetsuhiko F. Teshima, Bernhard Wolfrum

Advanced Materials· Volume 35· Issue 12

Abstract

Abstract Peripheral nerve interfacing (PNI) has a high clinical potential for treating various diseases, such as obesity or diabetes. However, currently existing electrodes present challenges to the interfacing procedure, which limit their clinical application, in particular, when targeting small peripheral nerves (<200 µm). To improve the electrode handling and implantation, a nerve interface that can fold itself to a cuff around a small nerve, triggered by the body moisture during insertion, is fabricated. This folding is achieved by printing a bilayer of a flexible polyurethane printing resin and a highly swelling sodium acrylate hydrogel using photopolymerization. When immersed in an aqueous liquid, the hydrogel swells and folds the electrode softly around the nerve. Furthermore, the electrodes are robust, can be stretched (>20%), and bent to facilitate the implantation due to the use of soft and stretchable printing resins as substrates and a microcracked gold film as conductive layer. The straightforward implantation and extraction of the electrode as well as stimulation and recording capabilities on a small peripheral nerve in vivo are demonstrated. It is believed that such simple and robust to use self‐folding electrodes will pave the way for bringing PNI to a broader clinical application.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Advanced Sensor and Energy Harvesting Materials · Nerve injury and regeneration

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Neuroelectronics Munich Institute of Biomedical Engineering School of Computation, Informatics and Technology Technical University of Munich Hans‐Piloty‐Str. 1 85748 Garching Germany

Medical & Health Informatics Laboratories NTT Research Incorporated 940 Stewart Dr Sunnyvale CA 94085 USA

Funding

Bundesministerium für Bildung und Forschung

References (58)

Show source-provided references
1. 10.1016/j.comppsych.2019.15215610.1016/j.comppsych.2019.152156 ↗
2. 10.1111/cns.1320910.1111/cns.13209 ↗
3. 10.1016/j.cobme.2022.10036810.1016/j.cobme.2022.100368 ↗
4. 10.1126/scirobotics.aau889210.1126/scirobotics.aau8892 ↗
5. 10.1007/s11906-018-0821-y10.1007/s11906-018-0821-y ↗
6. 10.1007/s40122-021-00306-410.1007/s40122-021-00306-4 ↗
7. 10.1016/j.tem.2015.09.00810.1016/j.tem.2015.09.008 ↗
8. 10.1038/s41371-019-0244-510.1038/s41371-019-0244-5 ↗
9. 10.14814/phy2.1271810.14814/phy2.12718 ↗
10. 10.1002/advs.20210294510.1002/advs.202102945 ↗
11. Otchy T. M. · React. Fission Nat., C. R. Reun. Com. Tech. · 2020 · 11 · 4191
12. 10.1016/j.bios.2010.05.01010.1016/j.bios.2010.05.010 ↗
13. 10.1038/s41551-019-0446-810.1038/s41551-019-0446-8 ↗
14. 10.1007/978-3-030-41854-0_510.1007/978-3-030-41854-0_5 ↗
15. 10.1088/1741-2552/abc02510.1088/1741-2552/abc025 ↗
16. 10.1063/5.002188710.1063/5.0021887 ↗
17. 10.1088/1741-2552/abfebb10.1088/1741-2552/abfebb ↗
18. 10.1038/s41551-018-0335-610.1038/s41551-018-0335-6 ↗
19. 10.1038/s41551-020-00615-710.1038/s41551-020-00615-7 ↗
20. 10.1038/s41598-019-46967-210.1038/s41598-019-46967-2 ↗
21. 10.1002/adma.20110237810.1002/adma.201102378 ↗
22. 10.1038/nn.390510.1038/nn.3905 ↗
23. 10.1088/1741-2552/abcdbe10.1088/1741-2552/abcdbe ↗
24. 10.1038/s41551-021-00817-710.1038/s41551-021-00817-7 ↗
25. 10.1109/JMEMS.2018.288190810.1109/JMEMS.2018.2881908 ↗
26. 10.3389/fnins.2019.0091110.3389/fnins.2019.00911 ↗
27. 10.1002/adfm.20220026910.1002/adfm.202200269 ↗
28. 10.1152/jappl.1997.83.1.31710.1152/jappl.1997.83.1.317 ↗
29. 10.1002/adhm.20220162710.1002/adhm.202201627 ↗
30. 10.3390/mi1212152210.3390/mi12121522 ↗
31. 10.1088/1741-2552/abf39810.1088/1741-2552/abf398 ↗
32. 10.1002/advs.20210440410.1002/advs.202104404 ↗
33. 10.1126/sciadv.abg783310.1126/sciadv.abg7833 ↗
34. 10.1088/1741-2560/3/4/L0210.1088/1741-2560/3/4/L02 ↗
35. 10.1126/sciadv.aaw106610.1126/sciadv.aaw1066 ↗
36. Varga M. · 2013 · 237
37. 10.1002/adma.20150369610.1002/adma.201503696 ↗
38. 10.1002/adfm.20191060610.1002/adfm.201910606 ↗
39. 10.1002/admt.20200003410.1002/admt.202000034 ↗
40. 10.1002/admt.20210024010.1002/admt.202100240 ↗
41. Tibbits S. · Archit. Des. · 2014 · 84 · 116
42. 10.1038/nmat454410.1038/nmat4544 ↗
43. 10.1002/adfm.20221035310.1002/adfm.202210353 ↗
44. 10.1002/mame.20220030610.1002/mame.202200306 ↗
45. 10.1021/acsanm.1c0159010.1021/acsanm.1c01590 ↗
46. 10.1063/1.220187410.1063/1.2201874 ↗
47. 10.3390/s1812415210.3390/s18124152 ↗
48. 10.1146/annurev.bioeng.10.061807.16051810.1146/annurev.bioeng.10.061807.160518 ↗
49. 10.1002/adfm.20170301910.1002/adfm.201703019 ↗
50. 10.1002/adfm.20220888110.1002/adfm.202208881 ↗
51. 10.1007/BF0021905510.1007/BF00219055 ↗
52. 10.1186/1743-0003-7-1710.1186/1743-0003-7-17 ↗
53. A. A.Szymanska A.Hajirasooliha Z.Nenadic in2013 6th Int. IEEE/EMBS Conf. on Neural Engineering (NER) IEEE Piscataway NJ USA2013 pp.235–238.10.1109/NER.2013.6695915 ↗
54. 10.1242/jeb.201.1.15510.1242/jeb.201.1.155 ↗
55. 10.1021/acsapm.0c0107110.1021/acsapm.0c01071 ↗
56. 10.1021/la049501e10.1021/la049501e ↗
57. 10.1126/sciadv.160232610.1126/sciadv.1602326 ↗
58. 10.1038/s41598-022-13679-z10.1038/s41598-022-13679-z ↗