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Flexible kirigami microelectrode arrays for neuronal activity recordings in non-human primate brains

Abstract

The development of brain–computer interfaces requires implantable microelectrode arrays that can interface with numerous neurons across large spatial and temporal scales. However, creating arrays that can effectively accommodate the substantial movements and deformations of primate brains remains challenging. Here we report a kirigami-inspired flexible microelectrode array that has a reconfigurable spiral thread design and can be used for large-scale, long-term neuronal activity recordings in the primate brain. Each array can be transferred onto a hydrogel-coated brain surface using a water-dissolvable carrier, providing high-throughput delivery of multiple spiral threads across a large brain area. Stretchable spiral threads can be implanted into the cerebral cortex, with their base floating conformally on the brain surface to accommodate the large movements of the primate brain inside the skull. We show that the implanted array can provide simultaneous activity recordings from over 700 cortical neurons in a macaque monkey brain. We also demonstrate the accurate decoding of upper-limb kinematics from the spiking activity of the primary motor cortex (M1) neurons with a recurrent neural network model.

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Fig. 1: Structure of ki-MEAs.
Fig. 2: Depth implantation of ki-MEAs and neuronal activity recordings in rat brains.
Fig. 3: Neuronal activity recordings in rhesus macaque monkey brains.
Fig. 4: Large-scale neuronal activity recordings in a rhesus macaque monkey brain.
Fig. 5: Neuronal activity recordings in a rhesus macaque brain.

Data availability

Raw electrophysiological recording data from Rat 4 and Monkey 3 are available via Figshare at https://doi.org/10.6084/m9.figshare.24012834.v1 (ref. 66). Raw electrophysiological recording data from Monkey 1 are available via Figshare at https://doi.org/10.6084/m9.figshare.24016290.v1 (ref. 67) and https://doi.org/10.6084/m9.figshare.25164149 (ref. 68). Raw electrophysiological recording data from Monkey 2 are available via Figshare at https://doi.org/10.6084/m9.figshare.25706859 (ref. 69), https://doi.org/10.6084/m9.figshare.25702842 (ref. 70) and https://doi.org/10.6084/m9.figshare.25706985 (ref. 71). Source data are provided with this paper.

References

  1. Buzsaki, G. Large-scale recording of neuronal ensembles. Nat. Neurosci. 7, 446–451 (2004).

    Article  Google Scholar 

  2. Lacour, S. P., Courtine, G. & Guck, J. Materials and technologies for soft implantable neuroprostheses. Nat. Rev. Mater. 1, 16063 (2016).

    Article  Google Scholar 

  3. Chen, R., Canales, A. & Anikeeva, P. Neural recording and modulation technologies. Nat. Rev. Mater. 2, 16093 (2017).

    Article  Google Scholar 

  4. Rivnay, J., Wang, H., Fenno, L., Deisseroth, K. & Malliaras, G. G. Next-generation probes, particles, and proteins for neural interfacing. Sci. Adv. 3, e1601649 (2017).

    Article  Google Scholar 

  5. Hong, G. & Lieber, C. M. Novel electrode technologies for neural recordings. Nat. Rev. Neurosci. 20, 330–345 (2019).

    Article  Google Scholar 

  6. Vázquez-Guardado, A., Yang, Y., Bandodkar, A. J. & Rogers, J. A. Recent advances in neurotechnologies with broad potential for neuroscience research. Nat. Neurosci. 23, 1522–1536 (2020).

    Article  Google Scholar 

  7. Steinmetz, N. A., Zatka-Haas, P., Carandini, M. & Harris, K. D. Distributed coding of choice, action and engagement across the mouse brain. Nature 576, 266–273 (2019).

    Article  Google Scholar 

  8. Campbell, P. K., Jones, K. E., Huber, R. J., Horch, K. W. & Normann, R. A. A silicon-based, 3-dimensional neural interface-manufacturing processes for an intracortical electrode array. IEEE Trans. Biomed. Eng. 38, 758–768 (1991).

    Article  Google Scholar 

  9. Aflalo, T. et al. Decoding motor imagery from the posterior parietal cortex of a tetraplegic human. Science 348, 906–910 (2015).

    Article  Google Scholar 

  10. Willett, F. R., Avansino, D. T., Hochberg, L. R., Henderson, J. M. & Shenoy, K. V. High-performance brain-to-text communication via handwriting. Nature 593, 249–254 (2021).

    Article  Google Scholar 

  11. Rousche, P. J. & Normann, R. A. Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex. J. Neurosci. Methods 82, 1–15 (1998).

    Article  Google Scholar 

  12. Gilletti, A. & Muthuswamy, J. Brain micromotion around implants in the rodent somatosensory cortex. J. Neural Eng. 3, 189–195 (2006).

    Article  Google Scholar 

  13. Kozai, T. D. Y., Jaquins-Gerstl, A. S., Vazquez, A. L., Michael, A. C. & Cui, X. T. Brain tissue responses to neural implants impact signal sensitivity and intervention strategies. ACS Chem. Neurosci. 6, 48–67 (2015).

    Article  Google Scholar 

  14. Woeppel, K. et al. Explant analysis of Utah electrode arrays implanted in human cortex for brain-computer-interfaces. Front. Bioeng. Biotechnol. 9, 759711 (2021).

    Article  Google Scholar 

  15. Szymanski, L. J. et al. Neuropathological effects of chronically implanted, intracortical microelectrodes in a tetraplegic patient. J. Neural Eng. 18, 0460b9 (2021).

    Article  Google Scholar 

  16. Rousche, P. J. et al. Flexible polyimide-based intracortical electrode arrays with bioactive capability. IEEE Trans. Biomed. Eng. 48, 361–371 (2001).

    Article  Google Scholar 

  17. Tian, B. et al. Macroporous nanowire nanoelectronic scaffolds for synthetic tissues. Nat. Mater. 11, 986–994 (2012).

    Article  Google Scholar 

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

    Article  Google Scholar 

  19. Someya, T., Bao, Z. & Malliaras, G. G. The rise of plastic bioelectronics. Nature 540, 379 (2016).

    Article  Google Scholar 

  20. Luan, L. et al. Ultraflexible nanoelectronic probes form reliable, glial scar-free neural integration. Sci. Adv. 3, e1601966 (2017).

    Article  Google Scholar 

  21. Guan, S. et al. Elastocapillary self-assembled neurotassels for stable neural activity recordings. Sci. Adv. 5, eaav2842 (2019).

    Article  Google Scholar 

  22. Chung, J. E. et al. High-density, long-lasting, and multi-region electrophysiological recordings using polymer electrode arrays. Neuron 101, 21–31 (2019).

    Article  Google Scholar 

  23. Zhao, S. et al. Tracking neural activity from the same cells during the entire adult life of mice. Nat. Neurosci. 26, 696–710 (2023).

    Article  Google Scholar 

  24. Gerbella, M. et al. Histological assessment of a chronically implanted cylindrically-shaped, polymer-based neural probe in the monkey. J. Neural Eng. 18, 024001 (2021).

    Article  Google Scholar 

  25. Takeuchi, S., Suzuki, T., Mabuchi, K. & Fujita, H. 3D flexible multichannel neural probe array. J. Micromech. Microeng. 14, 104 (2004).

    Article  Google Scholar 

  26. Sohal, H. S. et al. The sinusoidal probe: a new approach to improve electrode longevity. Front. Neuroeng. 7, 10 (2014).

    Article  Google Scholar 

  27. Kim, B. J. et al. 3D parylene sheath neural probe for chronic recordings. J. Neural Eng. 10, 045002 (2013).

    Article  Google Scholar 

  28. Felix, S. H. et al. Insertion of flexible neural probes using rigid stiffeners attached with biodissolvable adhesive. J. Vis. Exp. 79, e50609 (2013).

    Google Scholar 

  29. Zhao, Z. et al. Parallel, minimally-invasive implantation of ultra-flexible neural electrode arrays. J. Neural Eng. 16, 035001 (2019).

    Article  Google Scholar 

  30. Hanson, T. L., Diaz-Botia, C. A., Kharazia, V., Maharbiz, M. M. & Sabes, P. N. The ‘sewing machine’ for minimally invasive neural recording. Preprint at bioRxiv https://www.biorxiv.org/content/10.1101/578542v1 (2019).

  31. Musk, E. An integrated brain-machine interface platform with thousands of channels. J. Med. Internet Res. 21, e16194 (2019).

    Article  Google Scholar 

  32. Xu, N. et al. Functional connectivity of the brain across rodents and humans. Front. Neurosci. 16, 816331 (2022).

    Article  Google Scholar 

  33. 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 

  34. Chung, J. E. et al. High-density single-unit human cortical recordings using the Neuropixels probe. Neuron 110, 2409–2421 (2022).

    Article  Google Scholar 

  35. Paulk, A. C. et al. Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex. Nat. Neurosci. 25, 252–263 (2022).

    Article  Google Scholar 

  36. Rogers, J. A., Someya, T. & Huang, Y. Materials and mechanics for stretchable electronics. Science 327, 1603–1607 (2010).

    Article  Google Scholar 

  37. Liu, Y. et al. Morphing electronics enable neuromodulation in growing tissue. Nat. Biotechnol. 38, 1031–1036 (2020).

    Article  Google Scholar 

  38. Winkler, D. et al. The first evaluation of brain shift during functional neurosurgery by deformation field analysis. J. Neurol. Neurosurg. Psychiatry 76, 1161–1163 (2005).

    Article  Google Scholar 

  39. Li, J., Gelb, A. W., Flexman, A. M., Ji, F. & Meng, L. Definition, evaluation, and management of brain relaxation during craniotomy. Br. J. Anaesth. 116, 759–769 (2016).

    Article  Google Scholar 

  40. Xu, S. et al. Assembly of micro/nanomaterials into complex, three-dimensional architectures by compressive buckling. Science 347, 154–159 (2015).

    Article  Google Scholar 

  41. Brooks, A. K., Chakravarty, S., Ali, M. & Yadavalli, V. K. Kirigami-inspired biodesign for applications in healthcare. Adv. Mater. 34, 2109550 (2022).

    Article  Google Scholar 

  42. Won, P. et al. Stretchable and transparent kirigami conductor of nanowire percolation network for electronic skin applications. Nano Lett. 19, 6087–6096 (2019).

    Article  Google Scholar 

  43. Park, Y. et al. Three-dimensional, multifunctional neural interfaces for cortical spheroids and engineered assembloids. Sci. Adv. 7, eabf9153 (2021).

    Article  Google Scholar 

  44. Le Floch, P. et al. Stretchable mesh nanoelectronics for 3D single-cell chronic electrophysiology from developing brain organoids. Adv. Mater. 34, 2106829 (2022).

    Article  Google Scholar 

  45. Yang, X. et al. Kirigami electronics for long-term electrophysiological recording of human neural organoids and assembloids. Nat. Biotechnol. 42, 1836–1843 (2024).

    Article  Google Scholar 

  46. Wu, F., Im, M. & Yoon, E. A flexible fish-bone-shaped neural probe strengthened by biodegradable silk coating for enhanced biocompatibility. In Proc. 16th International Conference on Solid-State Sensors, Actuators and Microsystems 966–969 (IEEE, 2011).

  47. Steinmetz, N. A. et al. Neuropixels 2.0: a miniaturized high-density probe for stable, long-term brain recordings. Science 372, eabf4588 (2021).

    Article  Google Scholar 

  48. Kim, D.-H. et al. Epidermal electronics. Science 333, 838–843 (2011).

    Article  Google Scholar 

  49. Kleven, H. et al. Waxholm Space atlas of the rat brain: a 3D atlas supporting data analysis and integration. Nat. Methods 20, 1822–1829 (2023).

    Article  Google Scholar 

  50. Papp, E. A. et al. Waxholm Space atlas of the Sprague Dawley rat brain. NeuroImage 97, 374–386 (2014).

    Article  Google Scholar 

  51. Kim, D.-H. et al. Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics. Nat. Mater. 9, 511–517 (2010).

    Article  Google Scholar 

  52. Jun, J. J. et al. Fully integrated silicon probes for high-density recording of neural activity. Nature 551, 232–236 (2017).

    Article  Google Scholar 

  53. Fiáth, R. et al. Slow insertion of silicon probes improves the quality of acute neuronal recordings. Sci. Rep. 9, 111 (2019).

    Article  Google Scholar 

  54. Obaid, A. et al. Massively parallel microwire arrays integrated with CMOS chips for neural recording. Sci. Adv. 6, eaay2789 (2020).

    Article  Google Scholar 

  55. Zhao, Z. et al. Ultraflexible electrode arrays for months-long high-density electrophysiological mapping of thousands of neurons in rodents. Nat. Biomed. Eng. 7, 520–532 (2023).

    Article  Google Scholar 

  56. Chen, X., Wang, F., Fernandez, E. & Roelfsema, P. R. Shape perception via a high-channel-count neuroprosthesis in monkey visual cortex. Science 370, 1191–1196 (2020).

    Article  Google Scholar 

  57. Gilja, V. et al. A high-performance neural prosthesis enabled by control algorithm design. Nat. Neurosci. 15, 1752–1757 (2012).

    Article  Google Scholar 

  58. Pandarinath, C. et al. Inferring single-trial neural population dynamics using sequential auto-encoders. Nat. Methods 15, 805–815 (2018).

    Article  Google Scholar 

  59. Nurmikko, A. Challenges for large-scale cortical interfaces. Neuron 108, 259–269 (2020).

    Article  Google Scholar 

  60. Chen, X. et al. 3D printing and modelling of customized implants and surgical guides for non-human primates. J. Neurosci. Methods 286, 38–55 (2017).

    Article  Google Scholar 

  61. Zátonyi, A., Fedor, F., Borhegyi, Z. & Fekete, Z. In vitro and in vivo stability of black-platinum coatings on flexible, polymer microECoG arrays. J. Neural Eng. 15, 054003 (2018).

    Article  Google Scholar 

  62. Obaid, A. et al. Ultra-sensitive measurement of brain penetration with microscale probes for brain machine interface considerations. Preprint at bioRxiv http://www.biorxiv.org/content/10.1101/454520v1 (2018).

  63. Brainard, D. H. The psychophysics toolbox. Spat. Vis. 10, 433–436 (1997).

    Article  Google Scholar 

  64. Pelli, D. G. The VideoToolbox software for visual psychophysics: transforming numbers into movies. Spat. Vis. 10, 437–442 (1997).

    Article  Google Scholar 

  65. Keshtkaran, M. R. et al. A large-scale neural network training framework for generalized estimation of single-trial population dynamics. Nat. Methods 19, 1572–1577 (2022).

    Article  Google Scholar 

  66. Fang, R. et al. Flexible kirigami microelectrode arrays for neuronal activity recordings in nonhuman primate brains. Figshare https://doi.org/10.6084/m9.figshare.24012834.v1 (2023).

  67. Fang, R. et al. Flexible kirigami microelectrode arrays for neuronal activity recordings in nonhuman primate brains. Figshare https://doi.org/10.6084/m9.figshare.24016290.v1 (2023).

  68. Fang, R. et al. Flexible kirigami microelectrode arrays for neuronal activity recordings in nonhuman primate brains. Figshare https://doi.org/10.6084/m9.figshare.25164149 (2024).

  69. Fang, R. et al. Flexible kirigami microelectrode arrays for neuronal activity recordings in nonhuman primate brains. Figshare https://doi.org/10.6084/m9.figshare.25706859 (2024).

  70. Fang, R. et al. Flexible kirigami microelectrode arrays for neuronal activity recordings in nonhuman primate brains. Figshare https://doi.org/10.6084/m9.figshare.25702842 (2024).

  71. Fang, R. et al. Flexible kirigami microelectrode arrays for neuronal activity recordings in nonhuman primate brains. Figshare https://doi.org/10.6084/m9.figshare.25706985 (2024).

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Acknowledgements

We thank the Fabrication Lab at NCNST for the microfabrication facilities and support, and the Animal Resource Center at NCNST for animal (rodents) housing and care. We thank the technical support staff at the Institutional Center for Shared Technologies and Facilities of Institute of Psychology, CAS; the Laboratory Animal Center of Institute of Psychology, CAS; and the Laboratory Animal Resource Center of the Chinese Institute of Brain Research for animal (macaque monkeys) care and surgery. We thank T. Zhang for discussion on the monkey surgery procedure and G. Wu for help on LFADS. This work is supported by the National Science and Technology Innovation 2030 Major Program (grant number 2021ZD0202200; Y.F.); National Natural Science Foundation of China (grant numbers 21790393 and 32061143013; Y.F.), National Natural Science Foundation of China (grant number 22102040; H.T.) and the Strategic Priority Research Program of Chinese Academy of Science (grant number XDB32030100; Y.F.).

Author information

Authors and Affiliations

Authors

Contributions

Y.F. conceived the idea and designed the experiments. Y.D. fabricated and characterized the devices. H.T. fabricated the shuttle devices and shuttle device arrays. Y.Z. conducted the finite element simulation of the devices. R.F., H.T., Y.Y. and M.L. performed the surgery and electrophysiological recordings on rats. R.F., Y.Y. and S.L. performed the surgery and electrophysiological recordings on macaque monkey. R.F., Y.Y., S.G. and H.T. performed the electrophysiological analysis. R.F., H.T. and K.X. performed the histological and immunohistochemical analyses. Y.F. supervised the project. Y.F., H.T. and R.F. wrote the manuscript with input from all authors.

Corresponding author

Correspondence to Ying Fang.

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Competing interests

R.F., H.T., Y.D. and Y.F. are co-inventors on a patent filed by the National Center for Nanoscience and Technology, China, on the flexible neural electrode technology described in this study. Y.F. holds equity ownership in Beijing BCIFLEX Medical Co., Ltd, an entity that is licensing this technology. All other authors declare no competing interests.

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Nature Electronics thanks Xiao Yang, Yi Zhang 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 Depth implantation of a 240-channel ki-MEA into a rat brain.

a, A 1-mm-thick hydrogel film. Scale bar, 5 mm. b, A rat brain before and after the transferring of a pre-formed hydrogel film. Scale bars, 2 mm. c, The rat brain after the transferring of a 240-channel ki-MEA. Scale bar, 1 mm. d, The rat brain after the depth implantation of all the 24 spiral threads of the 240-channel ki-MEA. The implantation depth of the spiral threads was 2 mm. Scale bars, 1 mm and 500 µm (magnified view). e, Schematic showing the rat brain after the implantation of the 240-channel ki-MEA (top view).

Extended Data Fig. 2 Preparation of optical fiber shuttle arrays.

a, Schematic (top) and corresponding optical images (bottom) showing the preparation process of an optical fiber-based shuttle device. Scale bar, 250 μm. b, Preparation process of an optical fiber-based shuttle array. Magnified view shows the tips of the aligned optical fibers from the bottom. Scale bars, 2 mm and 1 mm (magnified view). c, Photos showing the etching process of an optical fiber shuttle array. From left to right: a 50-μm-long acrylate coating layer was removed from the front ends of all optical fibers; the exposed cladding layer was thinned down to ca. 60 μm in diameter; a 1-cm-long acrylate coating layer was removed from the front-ends of the optical fibers, and the exposed cladding and core layers were etched to form the final optical fiber shuttles with T-shaped front-ends. Scale bar, 1 mm. d, Photo of a shuttle array. Scale bar, 2 mm.

Extended Data Fig. 3 Assembly of a ki-MEA with shuttle array.

a, Schematic of a ki-MEA supported on a PMMA-coated silicon substrate. The silicon substrate was patterned with arrays of holes using deep silicon etching. b, Representative SEM image of a spiral supported on a PMMA-coated silicon substrate (n = 12 spiral threads). The right images are the enlarged views highlighted in the red box in the left image. Scale bars, 200 μm and 20 μm (magnified views). c, Optical images showing the alignment process of a shuttle array (SA) with a ki-MEA. Scale bar, 500 μm. d, Photos showing a SA/ki-MEA assembly stabilized with a PVA carrier. Scale bars, 2 mm and 1 mm (magnified view). e, Photos showing a released SA/ki-MEA assembly. Scale bars, 2 mm and 1 mm (magnified view). f, Optical images showing the optical fiber tips passing through the microholes of the spiral threads. Scale bars, 500 μm and 200 μm (magnified view).

Extended Data Fig. 4 High-throughput implantation of a ki-MEA.

Time-series images showing the simultaneous implantation of a 4 × 3 spiral thread array into a rat brain, including SA/ki-MEA assembly transferring (i), PVA dissolution (ii), SA-assisted depth implantation (iii), and SA retraction (iv). Scale bars, 2 mm and 500 μm (enlarged views). High-throughput refers to the number of the flexible threads that can be implanted into the brain in parallel.

Extended Data Fig. 5 Long-term recording stability of ki-MEAs in rat brains.

a, Schematic illustration of an implanted 120-channel ki-MEA covering M2 and Cg1 regions of the left and right hemispheres in a rat brain. M2: secondary motor area; Cg 1: cingulate area 1. The three brain slices were at 1.0 mm, 2.2 mm, and 3.4 mm anterior to bregma. The brain atlas images were adapted from the Waxholm Space atlas of the Sprague Dawley rat brain (RRID:SCR_017124, atlas version: 1.0.0)49,50. b, Neuron yield of ki-MEAs from 2 to 8 weeks post implantation in rats (n = 5 rats, Mean ± SD). n.s.: not significant by one-way ANOVA (two-sided test). Results showed no statistically significant difference between groups (F(3,16) = 2.30, P = 0.116). c, d, Spike amplitude and firing rates of recorded neurons from 2 to 8 weeks post implantation in rats (n = 5). Box plots in c and d: grey points indicated data points, red lines indicated median, bottom and top box edges indicated percentiles of 25% (Q1) and 75% (Q3), and whisker edges indicated min/max values, respectively.

Source data

Extended Data Fig. 6 Intimate interface between chronically implanted spiral thread and neural tissue.

a, Three-dimensional reconstructed image of a cleared 500-μm-thick brain slice with an implanted spiral thread. The self-fluorescent polyimide structure was imaged using 568 nm excitation. YFP-expressing neurons were imaged using 514 nm excitation. Green: neurons; Red: auto-fluorescence from polyimide. Scale bar, 200 μm. b, Zoom-in views showing the intimate interface between chronically implanted spiral thread and neural tissue. Scale bars, 100 μm.

Extended Data Fig. 7 Chronic neuronal activity recordings in macaque monkey primary motor cortex by a 256-channel ki-MEA.

a, Action potential traces recorded by the 256-channel ki-MEA at 36 weeks post implantation. Scale bars, 100 ms (horizontal) and 500 μV (vertical). b, c, Example wide-band and action potential traces. Scale bars, 100 ms (horizontal) and 500 μV (vertical). d, Waveforms of simultaneously recorded M1 neurons. Scale bars, 1 ms (horizontal) and 500 μV (vertical).

Extended Data Fig. 8 Large-scale transferring of ki-MEAs on a macaque monkey brain.

A monkey was transferred with 4 ki-MEAs, each consisting of 256 microelectrodes, on the PMd, M1, and S1 regions. Each spiral thread consisted of 16 microelectrodes and had a width of 32 µm. Blue box highlights the region shown in Fig. 4b (left). Large-scale refers to the areal coverage of the implanted threads. Scale bar, 5 mm.

Extended Data Fig. 9 Large-scale implantation of ki-MEAs into a macaque monkey brain.

A monkey was implanted with ki-MEAs in the PMd, M1, and S1 regions for simultaneous 1024-channel recordings. The 1024 microelectrodes covered a recording volume of ~15 mm (AP) * 11 mm (ML)* 3 mm (DV). Blue box highlights the region shown in Fig. 4b (right). Scale bar, 5 mm.

Extended Data Fig. 10 Preferred directions of M1 neurons recorded by a 256-channel ki-MEA device in a macaque monkey brain.

a. Trial-averaged firing rates of 170 neurons as a function of hand direction. The regression equation for the fitted sinusoidal curve is D = a + b·sinθ + c·cosθ, where D is the frequency of discharge and θ is the direction of movement. b, Polar histograms of the preferred directions of 170 neurons.

Source data

Supplementary information

Supplementary Information

Supplementary Figs. 1–12 and Methods.

Reporting Summary

Supplementary Video 1

FEA simulation of the stretching process of a spiral thread.

Supplementary Video 2

Shuttle-device-assisted implantation of a ki-MEA into a rat brain (4× speed).

Supplementary Video 3

Shuttle-device-assisted implantation of a ki-MEA into a macaque monkey brain.

Source data

Source Data Fig. 3

Statistical source data for Fig. 3e–j.

Source Data Fig. 5

Statistical source data for Fig. 5c.

Source Data Extended Data Fig. 5

Statistical source data for Extended Data Fig. 5b–d.

Source Data Extended Data Fig. 10

Statistical source data for Extended Data Fig. 10a.

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Fang, R., Tian, H., Du, Y. et al. Flexible kirigami microelectrode arrays for neuronal activity recordings in non-human primate brains. Nat Electron (2026). https://doi.org/10.1038/s41928-025-01560-6

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