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A biodegradable and self-deployable electronic tent electrode for brain cortex interfacing

Abstract

High-density, large-area electronic interfaces are a key component of brain–computer interface technologies. However, current designs typically require patients to undergo invasive procedures, which can lead to various complications. Here, we report a biodegradable and self-deployable tent electrode for brain cortex interfacing. The system can be integrated with multiplexing arrays and a wireless module for near-field communication and data transfer. It can be programmably packaged and self-deployed using a syringe for minimally invasive delivery through a small hole. Following delivery, it can expand to cover an area around 200 times its initial size. The electrode also naturally decomposes within the body after use, minimizing the impact of subsequent removal surgery. Through in vivo demonstrations, we show that our cortical-interfacing platform can be used to stimulate large populations of cortical activities.

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Fig. 1: Fully biodegradable and self-deployable electronic tent for minimally invasive monitoring throughout entire interventional procedures.
Fig. 2: Mechanical modelling of the programmably packable and self-deployable electronic tent.
Fig. 3: In vivo demonstration of self-deployable electronic tent in a canine model.
Fig. 4: Integration of active multiplexed electrode arrays for high-density recording.
Fig. 5: Integration of NFC system for wireless monitoring.
Fig. 6: In vivo biodegradability and biocompatibility of electronic tent.

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All data generated or analysed during this study are included in the paper. Source data are provided with this paper.

References

  1. Sporns, O. Structure and function of complex brain networks. Dialogues Clin. Neurosci. 15, 247–262 (2013).

    Article  Google Scholar 

  2. Vaidya, A. R., Pujara, M. S., Petrides, M., Murray, E. A. & Fellows, L. K. Lesion studies in contemporary neuroscience. Trends Cogn. Sci. 23, 653–671 (2019).

    Article  Google Scholar 

  3. Liu, J. et al. Complex brain network analysis and its applications to brain disorders: a survey. Complexity 2017, 8362741 (2017).

    Article  MathSciNet  Google Scholar 

  4. Mullin, J. P., Sexton, D., Al-Omar, S., Bingaman, W. & Gonzalez-Martinez, J. Outcomes of subdural grid electrode monitoring in the stereoelectroencephalography era. World Neurosurg. 89, 255–258 (2016).

    Article  Google Scholar 

  5. Pittau, F. et al. Mapping epileptic activity: sources or networks for the clinicians? Front. Neurol. 5, 218 (2014).

    Article  Google Scholar 

  6. Hartings, J. A. et al. Spreading depolarization and late secondary insults after traumatic brain injury. J. Neurotrauma 26, 1857–1866 (2009).

    Article  Google Scholar 

  7. Nicolelis, M. A. L. et al. Chronic, multisite, multielectrode recordings in macaque monkeys. Proc. Natl Acad. Sci. USA 100, 11041–11046 (2003).

    Article  Google Scholar 

  8. Hatsopoulos, N. G. & Donoghue, J. P. The science of neural interface systems. Annu. Rev. Neurosci. 32, 249–266 (2009).

    Article  Google Scholar 

  9. Nicolelis, M. A. L. Actions from thoughts. Nature 409, 403–407 (2001).

    Article  Google Scholar 

  10. Lebedev, M. A. & Nicolelis, M. A. L. Brain–machine interfaces: from basic science to neuroprostheses and neurorehabilitation. Physiol. Rev. 97, 767–837 (2017).

    Article  Google Scholar 

  11. Schalk, G. & Leuthardt, E. C. Brain–computer interfaces using electrocorticographic signals. IEEE Rev. Biomed. Eng. 4, 140–154 (2011).

    Article  Google Scholar 

  12. Talke, P. O. & Gelb, A. W. Postcraniotomy pain remains a real headache! Eur. J. Anaesthesiol. 22, 325–327 (2005).

    Article  Google Scholar 

  13. Basali, A., Mascha, E. J., Kalfas, I. & Schubert, A. Relation between perioperative hypertension and intracranial hemorrhage after craniotomy. Anesthesiology 93, 48–54 (2000).

    Article  Google Scholar 

  14. Chiang, H. -Y. et al. Risk factors and outcomes associated with surgical site infections after craniotomy or craniectomy. J. Neurosurg. 120, 509–521 (2014).

    Article  Google Scholar 

  15. Hall-Stoodley, L., Costerton, J. W. & Stoodley, P. Bacterial biofilms: from the natural environment to infectious diseases. Nat. Rev. Microbiol. 2, 95–108 (2004).

    Article  Google Scholar 

  16. VanEpps, J. S. & Younger, J. G. Implantable device related infection. Shock 46, 597–608 (2016).

    Article  Google Scholar 

  17. Stice, P. & Muthuswamy, J. Assessment of gliosis around moveable implants in the brain. J. Neural Eng. 6, 046004 (2009).

    Article  Google Scholar 

  18. Xie, C. et al. Three-dimensional macroporous nanoelectronic networks as minimally invasive brain probes. Nat. Mater. 14, 1286–1292 (2015).

    Article  Google Scholar 

  19. Liu, J. et al. Syringe-injectable electronics. Nat. Nanotechnol. 10, 629–636 (2015).

    Article  Google Scholar 

  20. Hettick, M. et al. The layer 7 cortical interface: a scalable and minimally invasive brain–computer interface platform. Preprint at www.biorxiv.org/content/10.1101/2022.01.02.474656v2 (2022).

  21. Oxley, T. J. et al. Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity. Nat. Biotechnol. 34, 320–327 (2016).

    Article  Google Scholar 

  22. Wei, S. et al. Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping. Nat. Commun. 15, 715 (2024).

    Article  Google Scholar 

  23. Song, S., Fallegger, F., Trouillet, A., Kim, K. & Lacour, S. P. Deployment of an electrocorticography system with a soft robotic actuator. Sci. Robot. 8, eadd1002 (2023).

    Article  Google Scholar 

  24. Liu, Y. et al. Ferromagnetic flexible electronics for brain-wide selective neural recording. Adv. Mater. 35, 2208251 (2022).

    Article  Google Scholar 

  25. Jeong, U.-J. et al. A minimally invasive flexible electrode array for simultaneous recording of ECoG signals from multiple brain regions. Lab Chip 21, 2383–2397 (2021).

    Article  Google Scholar 

  26. Yu, K. J. et al. Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex. Nat. Mater. 15, 782–791 (2016).

    Article  Google Scholar 

  27. Huang, Y. et al. Bioresorbable thin-film silicon diodes for the optoelectronic excitation and inhibition of neural activities. Nat. Biomed. Eng. 7, 486–498 (2023).

    Article  Google Scholar 

  28. Gross, R. A. & Kalra, B. Biodegradable polymers for the environment. Science 297, 803–807 (2002).

    Article  Google Scholar 

  29. Hwang, S.-W. et al. A physically transient form of silicon electronics. Science 337, 1640–1644 (2012).

    Article  Google Scholar 

  30. Kang, S.-K. et al. Dissolution behaviors and applications of silicon oxides and nitrides in transient electronics. Adv. Funct. Mater. 24, 4427–4434 (2014).

    Article  Google Scholar 

  31. Yin, L. et al. Dissolvable metals for transient electronics. Adv. Funct. Mater. 24, 645–658 (2014).

    Article  Google Scholar 

  32. Woodington, B. J. et al. X-ray markers for thin film implants. Adv. Healthc. Mater. 11, 2200739 (2022).

    Article  Google Scholar 

  33. Ding, Y. et al. 3D-printed radiopaque bioresorbable stents to improve device visualization. Adv. Healthc. Mater. 11, 2201955 (2022).

    Article  Google Scholar 

  34. Nave, M. D. & Barnett, M. R. Microstructures and textures of pure magnesium deformed in plane-strain compression. Scr. Mater. 51, 881–885 (2004).

    Article  Google Scholar 

  35. Salvatore, G. A. et al. Biodegradable and highly deformable temperature sensors for the internet of things. Adv. Funct. Mater. 27, 1702390 (2017).

    Article  Google Scholar 

  36. Bae, J.-Y. et al. Biodegradable metallic glass for stretchable transient electronics. Adv. Sci. 8, 2004029 (2021).

    Article  Google Scholar 

  37. Kang, S.-K. et al. Bioresorbable silicon electronic sensors for the brain. Nature 530, 71–76 (2016).

    Article  Google Scholar 

  38. Shim, J.-S., Rogers, J. A. & Kang, S.-K. Physically transient electronic materials and devices. Mater. Sci. Eng.: R: Rep. 145, 100624 (2021).

    Article  Google Scholar 

  39. Zhang, H. & Grinstaff, M. W. Recent advances in glycerol polymers: chemistry and biomedical applications. Macromol. Rapid Commun. 35, 1906–1924 (2014).

    Article  Google Scholar 

  40. Cruccu, G. et al. Recommendations for the clinical use of somatosensory-evoked potentials. Clin. Neurophysiol. 119, 1705–1719 (2008).

    Article  Google Scholar 

  41. Daube, J. R. & Rubin, D. I. Clinical Neurophysiology (ed. Daube, J. R.) Ch. 15 (Oxford Univ. Press, 2009).

  42. Park, D.-W. et al. Graphene-based carbon-layered electrode array technology for neural imaging and optogenetic applications. Nat. Commun. 5, 5258 (2014).

    Article  Google Scholar 

  43. Williams, J. C., Hippensteel, J. A., Dilgen, J., Shain, W. & Kipke, D. R. Complex impedance spectroscopy for monitoring tissue responses to inserted neural implants. J. Neural Eng. 4, 410–423 (2007).

    Article  Google Scholar 

  44. Roh, D. & Park, S. Brain multimodality monitoring: updated perspectives. Curr. Neurol. Neurosci. Rep. 16, 56 (2016).

    Article  Google Scholar 

  45. Konrad, B. et al. A simple and reliable technique to monitor intracranial pressure in the rat. Neurosurgery 30, 138–140 (1992).

    Article  Google Scholar 

  46. Giuseppe, C. et al. Induced abdominal compartment syndrome increases intracranial pressure in neurotrauma patients: a prospective study. Crit. Care Med. 29, 1466–1471 (2001).

    Article  Google Scholar 

  47. Viventi, J. et al. Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo. Nat. Neurosci. 14, 1599–1605 (2011).

    Article  Google Scholar 

  48. Li, J. et al. Conductively coupled flexible silicon electronic systems for chronic neural electrophysiology. Proc. Natl Acad. Sci. USA 115, 9542–9549 (2018).

    Article  Google Scholar 

  49. Kim, J. et al. Miniaturized flexible electronic systems with wireless power and near-field communication capabilities. Adv. Funct. Mater. 25, 4761–4767 (2015).

    Article  Google Scholar 

  50. Kim, S. et al. Enhancement of gene editing and base editing with therapeutic ribonucleoproteins through in vivo delivery based on absorptive silica nanoconstruct. Adv. Healthc. Mater. 12, 2201825 (2022).

    Article  Google Scholar 

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Acknowledgements

More than half of this work is supported by the National R&D Programme through the National Research Foundation of Korea funded by the Ministry of Science and ICT (Grant No. 2022M3H4A1A04096393). Further support is provided by National R&D Program through the National Research Foundation of Korea funded by the Ministry of Science and ICT (Grant Nos. 2022R1C1C1008513, RS-2023-00302145, RS-2023-00217968, 2023R1A2C2007705 and RS-2024-00419269).

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Authors

Contributions

J.-Y.B., G.-S.H., Y.-S.K., J.-Y.K. and S.-K.K. designed the research. J.-Y.B., Y.-S.K., S.-G.C., J.-Y.L., J.-H.L., K.-S.K., J.-H.P, W.-J.L. and S.-K.K. designed, fabricated and analysed the devices and interfaces. J.-Y.B., Y.-S.K., J.-W.K., J.K. and S.-K.K. designed and fabricated the NFC-based wireless system with devices. G.-S.H. and J.-Y.K. designed and performed the mechanical modelling. J.-Y.B., Y.-S.K. J.J., M.C., K.-S.L. and J.K.H. designed, performed and analysed the in vivo experiments. M.C., S.K., S.-H.L, S.L., Y.-C.K., K.-S.L. and H.L. analysed the biocompatibility and immunohistochemistry. J.-Y.B., G.-S.H., Y.-S.K., J.K.H., J.-Y.K. and S.-K.K. wrote the manuscript.

Corresponding authors

Correspondence to Jung Keun Hyun, Ju-Young Kim or Seung-Kyun Kang.

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Nature Electronics thanks Meining Zhang, Hongbian Li and and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 In vivo multimodal monitoring of brain activities.

(a) A photograph of deployed multimodal platform for physiological signal monitoring. (b) Device locations (left) and corresponding ECoG recordings (right). (c) Temperature monitoring with infrared lamp irradiation. (d) Strain monitoring with flank squeezing. (e) pH monitoring with saline injection through drilled hole.

Source data

Supplementary information

Supplementary Information

Supplementary Notes 1–25, references, Figs. 1–69 and Table 1.

Reporting Summary

Supplementary Video 1

Programmable packaging and self-deployment (in vitro).

Supplementary Video 2

Wireless LED operation after deployment (in vitro).

Supplementary Video 3

FEM analysis during programmable packaging.

Supplementary Video 4

Real-time deployment in canine model.

Supplementary Video 5

Wireless monitoring (temperature).

Supplementary Video 6

Animal’s quick recovery (after 1 d movement).

Supplementary Data

Source data for supplementary figures.

Source data

Source Data Fig. 2

Source data for Fig. 2.

Source Data Fig. 3

Source data for Fig. 3.

Source Data Fig. 4

Source data for Fig. 4.

Source Data Fig. 5

Source data for Fig. 5.

Source Data Fig. 6

Source data for Fig. 6.

Source Data Extended Data Fig. 1

Source data for Extended Fig. 1.

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Bae, JY., Hwang, GS., Kim, YS. et al. A biodegradable and self-deployable electronic tent electrode for brain cortex interfacing. Nat Electron 7, 815–828 (2024). https://doi.org/10.1038/s41928-024-01216-x

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