Implantable multi-modality microelectrode arrays: Past, present, and future
Source abstract
Abstract
Implantable microelectrode arrays (MEAs) have seen remarkable progress and become indispensable in research and clinical applications. Most existing MEAs are designed for electrical interfacing, allowing recording of electrophysiology and/or electrical stimulation of the nervous system. However, brain information flows through electrical and chemical signaling, underscoring the need for electrical and chemical interfacing. This review introduces advancements in multi-modal MEA that can record electrical and chemical neural activities, and/or perturbate neural circuits. These capabilities are vital for unraveling the coordination between electrical and chemical signals that underpin neurological functions and disorders. We explore the design, functionality, and application of multi-modal MEAs, emphasizing the importance of device/tissue integration for comprehensive understanding and modulation of brain dynamics. Multi-modality MEAs hold significant potential for breakthroughs in our understanding of the brain and treatment of neurological disorders. We also discuss future research in this field, emphasizing the need for the expansion of multi-modality MEA capabilities.Graphical AbstractImplantable Microelectrode Arrays (MEAs) are advancing beyond basic electrical recording to become multi-modality MEAs that integrate electrophysiology, neurochemical sensing, and neuromodulation capabilities. This integration is crucial because brain function relies on the coordination between electrical (action potentials) and chemical (neurotransmitters) signaling. The goal is to create platforms capable of multi-dimensional, bi-directional communication with neural tissue to enable breakthroughs in basic neuroscience and the treatment of neurological disorders. This review introduces advancements in multi-modal MEA. We focused on exploring the design, functionality, and application of multi-modal MEAs, emphasizing the importance of device/tissue integration for comprehensive understanding and modulation of brain dynamics. We also discuss future research in this field, emphasizing key advancements should be focused on neurochemical detection and neuromodulation techniques refinements, material and fabrication innovations, low-power circuit architectures for data acquisition and wireless communication, and clinical translation frameworks development.
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Research context
OpenAlex topics: Neuroscience and Neural Engineering · Neurological disorders and treatments · Photoreceptor and optogenetics research
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References (100+)
Show source-provided references
1. S.F. Cogan, Neural stimulation and recording electrodes. Annu. Rev. Biomed. Eng. 10, 275–309 (2008). https://doi.org/10.1146/annurev.bioeng.10.061807.16051810.1146/annurev.bioeng.10.061807.160518 ↗
2. C. Ethier, E.R. Oby, M.J. Bauman, L.E. Miller, Restoration of grasp following paralysis through brain-controlled stimulation of muscles. Nature 485, 368–371 (2012). https://doi.org/10.1038/nature1098710.1038/nature10987 ↗
3. S. Wendelken et al., Restoration of motor control and proprioceptive and cutaneous sensation in humans with prior upper-limb amputation via multiple Utah Slanted Electrode Arrays (USEAs) implanted in residual peripheral arm nerves. J. Neuroeng. Rehabil. 14, 121 (2017)10.1186/s12984-017-0320-4 ↗
4. H.S. Mayberg et al., Deep brain stimulation for treatment-resistant depression. Neuron 45, 651–660 (2005). https://doi.org/10.1016/j.neuron.2005.02.01410.1016/j.neuron.2005.02.014 ↗
5. J.J. Jun et al., Fully integrated silicon probes for high-density recording of neural activity. Nature 551, 232–236 (2017). https://doi.org/10.1038/nature2463610.1038/nature24636 ↗
6. N.A. Steinmetz et al., Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings. Science (2021). https://doi.org/10.1126/science.abf458810.1126/science.abf4588 ↗
7. L. Luan et al., Ultraflexible nanoelectronic probes form reliable, glial scar-free neural integration. Sci. Adv. 3, e1601966 (2017). https://doi.org/10.1126/sciadv.160196610.1126/sciadv.1601966 ↗
8. J. Liu et al., Syringe-injectable electronics. Nat. Nanotechnol. 10, 629–636 (2015). https://doi.org/10.1038/nnano.2015.11510.1038/nnano.2015.115 ↗
9. Z. Zhao 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). https://doi.org/10.1038/s41551-022-00941-y10.1038/s41551-022-00941-y ↗
10. M. Pachitariu, S. Sridhar, J. Pennington, C. Stringer, Spike sorting with Kilosort4. Nat. Methods 21, 914–921 (2024). https://doi.org/10.1038/s41592-024-02232-710.1038/s41592-024-02232-7 ↗
11. J.E. Chung et al., A fully automated approach to spike sorting. Neuron 95(1381–1394), e1386 (2017). https://doi.org/10.1016/j.neuron.2017.08.03010.1016/j.neuron.2017.08.030 ↗
12. Y. Wang, X. Yang, X. Zhang, Y. Wang, W. Pei, Implantable intracortical microelectrodes: reviewing the present with a focus on the future. Microsyst. Nanoeng. 9, 7 (2023). https://doi.org/10.1038/s41378-022-00451-610.1038/s41378-022-00451-6 ↗
13. K. Lee et al., Flexible, scalable, high channel count stereo-electrode for recording in the human brain. Nat. Commun. 15, 218 (2024)10.1038/s41467-023-43727-9 ↗
14. A. Alcaro, R. Huber, J. Panksepp, Behavioral functions of the mesolimbic dopaminergic system: An affective neuroethological perspective. Brain Res. Rev. 56, 283–321 (2007). https://doi.org/10.1016/j.brainresrev.2007.07.01410.1016/j.brainresrev.2007.07.014 ↗
15. B.J. Venton, R.M. Wightman, Psychoanalytical electrochemistry: dopamine and behavior. Anal. Chem. 75(414), A-421 A (2003). https://doi.org/10.1021/ac031421c10.1021/ac031421c ↗
16. R.I. Teleanu et al., Neurotransmitters-key factors in neurological and neurodegenerative disorders of the central nervous system. Int. J. Mol. Sci. (2022). https://doi.org/10.3390/ijms2311595410.3390/ijms23115954 ↗
17. S.E. Hyman, Neurotransmitters. Curr. Biol. 15, R154-158 (2005). https://doi.org/10.1016/j.cub.2005.02.03710.1016/j.cub.2005.02.037 ↗
18. H. Zhang, J. Fell, N. Axmacher, Electrophysiological mechanisms of human memory consolidation. Nat. Commun. 9, 4103 (2018). https://doi.org/10.1038/s41467-018-06553-y10.1038/s41467-018-06553-y ↗
19. P.K. Parekh, A.R. Ozburn, C.A. McClung, Circadian clock genes: effects on dopamine, reward and addiction. Alcohol 49, 341–349 (2015). https://doi.org/10.1016/j.alcohol.2014.09.03410.1016/j.alcohol.2014.09.034 ↗
20. B. Dehay et al., Pathogenic lysosomal depletion in Parkinson’s disease. J. Neurosci. 30, 12535–12544 (2010)10.1523/JNEUROSCI.1920-10.2010 ↗
21. C. Harnois, T. Di Paolo, Decreased dopamine in the retinas of patients with Parkinson’s disease. Invest. Ophthalmol. Vis. Sci. 31, 2473–2475 (1990)
22. B. Si, E. Song, Recent advances in the detection of neurotransmitters. Chemosensors 6, 1 (2018)10.3390/chemosensors6010001 ↗
23. K. Tanaka et al., Epilepsy and exacerbation of brain injury in mice lacking the glutamate transporter GLT-1. Science 276, 1699–1702 (1997)10.1126/science.276.5319.1699 ↗
24. A.S. Bryant, B. Li, M.P. Beenhakker, J.R. Huguenard, Maintenance of thalamic epileptiform activity depends on the astrocytic glutamate-glutamine cycle. J. Neurophysiol. 102, 2880–2888 (2009)10.1152/jn.00476.2009 ↗
25. K. Deisseroth, Optogenetics: 10 years of microbial opsins in neuroscience. Nat. Neurosci. 18, 1213–1225 (2015). https://doi.org/10.1038/nn.409110.1038/nn.4091 ↗
26. V. Emiliani et al., Optogenetics for light control of biological systems. Nat Rev Methods Primers (2022). https://doi.org/10.1038/s43586-022-00136-410.1038/s43586-022-00136-4 ↗
27. S. Mitew et al., Pharmacogenetic stimulation of neuronal activity increases myelination in an axon-specific manner. Nat. Commun. 9, 306 (2018). https://doi.org/10.1038/s41467-017-02719-210.1038/s41467-017-02719-2 ↗
28. D.R. Merrill, M. Bikson, J.G. Jefferys, Electrical stimulation of excitable tissue: design of efficacious and safe protocols. J. Neurosci. Methods 141, 171–198 (2005). https://doi.org/10.1016/j.jneumeth.2004.10.02010.1016/j.jneumeth.2004.10.020 ↗
29. R.V. Shannon, A model of safe levels for electrical stimulation. IEEE Trans. Biomed. Eng. 39, 424–426 (1992). https://doi.org/10.1109/10.12661610.1109/10.126616 ↗
30. Q. Cao, M. Shin, N.V. Lavrik, B.J. Venton, 3D-Printed carbon nanoelectrodes for in vivo neurotransmitter sensing. Nano Lett. 20, 6831–6836 (2020). https://doi.org/10.1021/acs.nanolett.0c0284410.1021/acs.nanolett.0c02844 ↗
31. B. Wu, E. Castagnola, C.A. McClung, X.T. Cui, PEDOT/CNT flexible MEAs reveal new insights into the clock gene’s role in dopamine dynamics. Adv Sci (Weinh) (2024). https://doi.org/10.1002/advs.20230821210.1002/advs.202308212 ↗
32. C. Tan, E.M. Robbins, B. Wu, X.T. Cui, Recent advances in in vivo neurochemical monitoring. Micromachines (Basel) (2021). https://doi.org/10.3390/mi1202020810.3390/mi12020208 ↗
33. T.D. Kozai, A.S. Jaquins-Gerstl, A.L. Vazquez, A.C. Michael, X.T. Cui, Brain tissue responses to neural implants impact signal sensitivity and intervention strategies. ACS Chem. Neurosci. 6, 48–67 (2015). https://doi.org/10.1021/cn500256e10.1021/cn500256e ↗
34. V.S. Polikov, P.A. Tresco, W.M. Reichert, Response of brain tissue to chronically implanted neural electrodes. J. Neurosci. Methods 148, 1–18 (2005). https://doi.org/10.1016/j.jneumeth.2005.08.01510.1016/j.jneumeth.2005.08.015 ↗
35. J.W. Salatino, K.A. Ludwig, T.D.Y. Kozai, E.K. Purcell, Glial responses to implanted electrodes in the brain. Nat. Biomedical Eng. 1, 862–877 (2017). https://doi.org/10.1038/s41551-017-0154-110.1038/s41551-017-0154-1 ↗
36. G.C. McConnell et al., Implanted neural electrodes cause chronic, local inflammation that is correlated with local neurodegeneration. J. Neural Eng. 6, 056003 (2009). https://doi.org/10.1088/1741-2560/6/5/05600310.1088/1741-2560/6/5/056003 ↗
37. T.D. Kozai et al., Comprehensive chronic laminar single-unit, multi-unit, and local field potential recording performance with planar single shank electrode arrays. J. Neurosci. Methods 242, 15–40 (2015). https://doi.org/10.1016/j.jneumeth.2014.12.01010.1016/j.jneumeth.2014.12.010 ↗
38. R. Biran, D.C. Martin, P.A. Tresco, Neuronal cell loss accompanies the brain tissue response to chronically implanted silicon microelectrode arrays. Exp. Neurol. 195, 115–126 (2005). https://doi.org/10.1016/j.expneurol.2005.04.02010.1016/j.expneurol.2005.04.020 ↗
39. A. Weltman, J. Yoo, E. Meng, Flexible, penetrating brain probes enabled by advances in polymer microfabrication. Micromachines (Basel) (2016). https://doi.org/10.3390/mi710018010.3390/mi7100180 ↗
40. G.C. McConnell et al., Implanted neural electrodes cause chronic, local inflammation that is correlated with local neurodegeneration. J. Neural Eng. 6, 56003 (2009). https://doi.org/10.1088/1741-2560/6/5/05600310.1088/1741-2560/6/5/056003 ↗
41. Wellman, S. M., Li, L., Yaxiaer, Y., McNamara, I. N. & Kozai, T. D. J. F. i. N. Revealing spatial and temporal patterns of cell death, glial proliferation, and blood-brain barrier dysfunction around implanted intracortical neural interfaces. 13, 493 (2019).10.3389/fnins.2019.00493 ↗
42. T.D. Kozai et al., Ultrasmall implantable composite microelectrodes with bioactive surfaces for chronic neural interfaces. Nat. Mater. 11, 1065–1073 (2012). https://doi.org/10.1038/nmat346810.1038/nmat3468 ↗
43. A.B. Schwartz, X.T. Cui, D.J. Weber, D.W. Moran, Brain-controlled interfaces: movement restoration with neural prosthetics. Neuron 52, 205–220 (2006). https://doi.org/10.1016/j.neuron.2006.09.01910.1016/j.neuron.2006.09.019 ↗
44. H. Ralay Ranaivo, M.S. Wainwright, Albumin activates astrocytes and microglia through mitogen-activated protein kinase pathways. Brain Res. 1313, 222–231 (2010). https://doi.org/10.1016/j.brainres.2009.11.06310.1016/j.brainres.2009.11.063 ↗
45. B. Wu, E. Castagnola, X.T. Cui, Zwitterionic polymer coated and aptamer functionalized flexible micro-electrode arrays for in vivo cocaine sensing and electrophysiology. Micromachines (Basel) (2023). https://doi.org/10.3390/mi1402032310.3390/mi14020323 ↗
46. Z.J. Du et al., Ultrasoft microwire neural electrodes improve chronic tissue integration. Acta Biomater. 53, 46–58 (2017). https://doi.org/10.1016/j.actbio.2017.02.01010.1016/j.actbio.2017.02.010 ↗
47. A. Golabchi, B. Wu, B. Cao, C.J. Bettinger, X.T. Cui, Zwitterionic polymer/polydopamine coating reduce acute inflammatory tissue responses to neural implants. Biomaterials 225, 119519 (2019). https://doi.org/10.1016/j.biomaterials.2019.11951910.1016/j.biomaterials.2019.119519 ↗
48. E. Azemi, C.F. Lagenaur, X.T. Cui, The surface immobilization of the neural adhesion molecule L1 on neural probes and its effect on neuronal density and gliosis at the probe/tissue interface. Biomaterials 32, 681–692 (2011). https://doi.org/10.1016/j.biomaterials.2010.09.03310.1016/j.biomaterials.2010.09.033 ↗
49. J.R. Eles et al., Neuroadhesive L1 coating attenuates acute microglial attachment to neural electrodes as revealed by live two-photon microscopy. Biomaterials 113, 279–292 (2017). https://doi.org/10.1016/j.biomaterials.2016.10.05410.1016/j.biomaterials.2016.10.054 ↗
50. T.D. Kozai et al., Chronic In Vivo Evaluation of PEDOT/CNT for Stable Neural Recordings. IEEE Trans. Biomed. Eng. 63, 111–119 (2016). https://doi.org/10.1109/TBME.2015.244571310.1109/TBME.2015.2445713 ↗
51. C. Boehler et al., Actively controlled release of Dexamethasone from neural microelectrodes in a chronic in vivo study. Biomaterials 129, 176–187 (2017). https://doi.org/10.1016/j.biomaterials.2017.03.01910.1016/j.biomaterials.2017.03.019 ↗
52. Z.J. Du, X. Luo, C. Weaver, X.T. Cui, Poly (3, 4-ethylenedioxythiophene)-ionic liquid coating improves neural recording and stimulation functionality of MEAs. J Mater Chem C Mater Opt Electron Devices 3, 6515–6524 (2015). https://doi.org/10.1039/C5TC00145E10.1039/C5TC00145E ↗
53. P.R. Patel et al., High density carbon fiber arrays for chronic electrophysiology, fast scan cyclic voltammetry, and correlative anatomy. J. Neural Eng. 17, 056029 (2020). https://doi.org/10.1088/1741-2552/abb1f610.1088/1741-2552/abb1f6 ↗
54. S. Zhang et al., A silicon based implantable microelectrode array for electrophysiological and dopamine recording from cortex to striatum in the non-human primate brain. Biosens. Bioelectron. 85, 53–61 (2016). https://doi.org/10.1016/j.bios.2016.04.08710.1016/j.bios.2016.04.087 ↗
55. A. Canales et al., Multifunctional fibers for simultaneous optical, electrical and chemical interrogation of neural circuits in vivo. Nat. Biotechnol. 33, 277–284 (2015). https://doi.org/10.1038/nbt.309310.1038/nbt.3093 ↗
56. H.J. Lee et al., A multichannel neural probe with embedded microfluidic channels for simultaneous in vivo neural recording and drug delivery. Lab Chip 15, 1590–1597 (2015). https://doi.org/10.1039/c4lc01321b10.1039/c4lc01321b ↗
57. J. Subbaroyan, D.C. Martin, D.R. Kipke, A finite-element model of the mechanical effects of implantable microelectrodes in the cerebral cortex. J. Neural Eng. 2, 103–113 (2005). https://doi.org/10.1088/1741-2560/2/4/00610.1088/1741-2560/2/4/006 ↗
58. A. Gilletti, J. Muthuswamy, Brain micromotion around implants in the rodent somatosensory cortex. J. Neural Eng. 3, 189–195 (2006). https://doi.org/10.1088/1741-2560/3/3/00110.1088/1741-2560/3/3/001 ↗
59. H.C. Lee et al., Histological evaluation of flexible neural implants; flexibility limit for reducing the tissue response? J. Neural Eng. 14, 036026 (2017). https://doi.org/10.1088/1741-2552/aa68f010.1088/1741-2552/aa68f0 ↗
60. J.K. Nguyen et al., Mechanically-compliant intracortical implants reduce the neuroinflammatory response. J. Neural Eng. 11, 056014 (2014). https://doi.org/10.1088/1741-2560/11/5/05601410.1088/1741-2560/11/5/056014 ↗
61. M.D. Johnson, R.K. Franklin, M.D. Gibson, R.B. Brown, D.R. Kipke, Implantable microelectrode arrays for simultaneous electrophysiological and neurochemical recordings. J. Neurosci. Methods 174, 62–70 (2008). https://doi.org/10.1016/j.jneumeth.2008.06.03610.1016/j.jneumeth.2008.06.036 ↗
62. R.M. Wightman, L.J. May, A.C. Michael, Detection of dopamine dynamics in the brain. Anal. Chem. 60, 769A-793A (2012)10.1021/ac00164a001 ↗
63. J. Jiang, F.R. Willett, D.M. Taylor, Relationship between microelectrode array impedance and chronic recording quality of single units and local field potentials. Annu Int Conf IEEE Eng Med Biol Soc 2014, 3045–3048 (2014). https://doi.org/10.1109/EMBC.2014.694426510.1109/EMBC.2014.6944265 ↗
64. E.K. Purcell, D.E. Thompson, K.A. Ludwig, D.R. Kipke, Flavopiridol reduces the impedance of neural prostheses in vivo without affecting recording quality. J. Neurosci. Methods 183, 149–157 (2009). https://doi.org/10.1016/j.jneumeth.2009.06.02610.1016/j.jneumeth.2009.06.026 ↗
65. A.L. Collins, B.T. Saunders, Heterogeneity in striatal dopamine circuits: form and function in dynamic reward seeking. J. Neurosci. Res. 98, 1046–1069 (2020). https://doi.org/10.1002/jnr.2458710.1002/jnr.24587 ↗
66. Garris, P. A. & Wightman, R. M. in Voltammetric Methods in Brain Systems 179–220 (1995).
67. A.A. Disney, C. McKinney, L. Grissom, X. Lu, J.H. Reynolds, A multi-site array for combined local electrochemistry and electrophysiology in the non-human primate brain. J. Neurosci. Methods 255, 29–37 (2015). https://doi.org/10.1016/j.jneumeth.2015.07.00910.1016/j.jneumeth.2015.07.009 ↗
68. S. Salavatian et al., Real-time in vivo thoracic spinal glutamate sensing during myocardial ischemia. Am. J. Physiol. Heart Circ. Physiol. 325, H1304–H1317 (2023). https://doi.org/10.1152/ajpheart.00299.202310.1152/ajpheart.00299.2023 ↗
69. J.L. Shobe, L.D. Claar, S. Parhami, K.I. Bakhurin, S.C. Masmanidis, Brain activity mapping at multiple scales with silicon microprobes containing 1,024 electrodes. J. Neurophysiol. 114, 2043–2052 (2015). https://doi.org/10.1152/jn.00464.201510.1152/jn.00464.2015 ↗
70. H.A. Wark et al., A new high-density (25 electrodes/mm(2)) penetrating microelectrode array for recording and stimulating sub-millimeter neuroanatomical structures. J. Neural Eng. 10, 045003 (2013). https://doi.org/10.1088/1741-2560/10/4/04500310.1088/1741-2560/10/4/045003 ↗
71. S. Corbett, J. Ketterl, T. Johnson, Polymer-Based Microelectrode Arrays. MRS Proc. (2011). https://doi.org/10.1557/proc-0926-cc06-0210.1557/proc-0926-cc06-02 ↗
72. P. Fan et al., Flexible microelectrode array probe for simultaneous detection of neural discharge and dopamine in striatum of mice aversion system. Sens. Actuators B: Chem. (2023). https://doi.org/10.1016/j.snb.2023.13399010.1016/j.snb.2023.133990 ↗
73. I.M. Taylor, N.A. Patel, N.C. Freedman, E. Castagnola, X.T. Cui, Direct in vivo electrochemical detection of resting dopamine using poly(3,4-ethylenedioxythiophene)/carbon nanotube functionalized microelectrodes. Anal. Chem. 91, 12917–12927 (2019). https://doi.org/10.1021/acs.analchem.9b0290410.1021/acs.analchem.9b02904 ↗
74. C.A. McClung et al., Regulation of dopaminergic transmission and cocaine reward by the Clock gene. Proc Natl Acad Sci U S A 102, 9377–9381 (2005). https://doi.org/10.1073/pnas.050358410210.1073/pnas.0503584102 ↗
75. V. Shumkova, V. Sitdikova, I. Rechapov, A. Leukhin, M. Minlebaev, Effects of urethane and isoflurane on the sensory evoked response and local blood flow in the early postnatal rat somatosensory cortex. Sci. Rep. 11, 9567 (2021). https://doi.org/10.1038/s41598-021-88461-810.1038/s41598-021-88461-8 ↗
76. V. Sorrenti et al., Understanding the effects of anesthesia on cortical electrophysiological recordings: a scoping review. Int. J. Mol. Sci. (2021). https://doi.org/10.3390/ijms2203128610.3390/ijms22031286 ↗
77. J. Zhang et al., The role of intracerebral dopamine D1 and D2 receptors in sleep-wake cycles and general anesthesia. Ibrain 8, 48–54 (2022). https://doi.org/10.1002/ibra.1202410.1002/ibra.12024 ↗
78. J. Wang et al., Dopaminergic System in promoting recovery from general anesthesia. Brain Sci. (2023). https://doi.org/10.3390/brainsci1304053810.3390/brainsci13040538 ↗
79. E.M. Robbins, E. Castagnola, X.T. Cui, Accurate and stable chronic in vivo voltammetry enabled by a replaceable subcutaneous reference electrode. iScience 25, 104845 (2022). https://doi.org/10.1016/j.isci.2022.10484510.1016/j.isci.2022.104845 ↗
80. J. Jang et al., Understanding the different effects of fouling mechanisms on working and reference electrodes in fast-scan cyclic voltammetry for neurotransmitter detection. Analyst 149, 3008–3016 (2024). https://doi.org/10.1039/d3an02205f10.1039/d3an02205f ↗
81. H. Suzuki, A. Hiratsuka, S. Sasaki, I. Karube, Problems associated with the thin-film Ag/AgCl reference electrode and a novel structure with improved durability. Sens. Actuators B: Chem. 46, 104–113 (1998). https://doi.org/10.1016/s0925-4005(98)00043-410.1016/s0925-4005(98)00043-4 ↗
82. B.T. Seaton, D.F. Hill, S.L. Cowen, M.L. Heien, Mitigating the effects of electrode biofouling-induced impedance for improved long-term electrochemical measurements in vivo. Anal. Chem. 92, 6334–6340 (2020). https://doi.org/10.1021/acs.analchem.9b0519410.1021/acs.analchem.9b05194 ↗
83. E.S. Albert et al., TRPV4 channels mediate the infrared laser-evoked response in sensory neurons. J. Neurophysiol. 107, 3227–3234 (2012). https://doi.org/10.1152/jn.00424.201110.1152/jn.00424.2011 ↗
84. R.T. Richardson, M.R. Ibbotson, A.C. Thompson, A.K. Wise, J.B. Fallon, Optical stimulation of neural tissue. Healthc Technol Lett 7, 58–65 (2020). https://doi.org/10.1049/htl.2019.011410.1049/htl.2019.0114 ↗
85. G.H. Lee et al., Multifunctional materials for implantable and wearable photonic healthcare devices. Nat. Rev. Mater. 5, 149–165 (2020). https://doi.org/10.1038/s41578-019-0167-310.1038/s41578-019-0167-3 ↗
86. J.Y. Sim, M.P. Haney, S.I. Park, J.G. McCall, J.W. Jeong, Microfluidic neural probes: in vivo tools for advancing neuroscience. Lab Chip 17, 1406–1435 (2017). https://doi.org/10.1039/c7lc00103g10.1039/c7lc00103g ↗
87. Z.J. Du, G.Q. Bi, X.T. Cui, Electrically controlled neurochemical release from dual-layer conducting polymer films for precise modulation of neural network activity in rat barrel cortex. Adv. Funct. Mater. (2018). https://doi.org/10.1002/adfm.20170398810.1002/adfm.201703988 ↗
88. C. Tan, N. Kushwah, X.T. Cui, Electrically controlled neurochemical delivery from microelectrodes for focal and transient modulation of cellular behavior. Biosensors (Basel) (2021). https://doi.org/10.3390/bios1109034810.3390/bios11090348 ↗
89. C.M. Proctor et al., Electrophoretic drug delivery for seizure control. Sci. Adv. 4, eaau1291 (2018). https://doi.org/10.1126/sciadv.aau129110.1126/sciadv.aau1291 ↗
90. E.S. Boyden, F. Zhang, E. Bamberg, G. Nagel, K. Deisseroth, Millisecond-timescale, genetically targeted optical control of neural activity. Nat. Neurosci. 8, 1263–1268 (2005). https://doi.org/10.1038/nn152510.1038/nn1525 ↗
91. Yang, J.-W., Prouvot, P.-H., Stroh, A. & Luhmann, H. J. in Optogenetics: A Roadmap Neuromethods Ch. Chapter 8, 133–152 (2018).10.1007/978-1-4939-7417-7_8 ↗
92. J. Lee, I. Ozden, Y.K. Song, A.V. Nurmikko, Transparent intracortical microprobe array for simultaneous spatiotemporal optical stimulation and multichannel electrical recording. Nat. Methods 12, 1157–1162 (2015). https://doi.org/10.1038/nmeth.362010.1038/nmeth.3620 ↗
93. F. Wu et al., Monolithically integrated muLEDs on silicon neural probes for high-resolution optogenetic studies in behaving animals. Neuron 88, 1136–1148 (2015). https://doi.org/10.1016/j.neuron.2015.10.03210.1016/j.neuron.2015.10.032 ↗
94. Z. Fekete, Recent advances in silicon-based neural microelectrodes and microsystems: a review. Sens. Actuators B: Chem. 215, 300–315 (2015). https://doi.org/10.1016/j.snb.2015.03.05510.1016/j.snb.2015.03.055 ↗
95. Mancera-Andrade, E. I., Parsaeimehr, A., Arevalo-Gallegos, A., Ascencio-Favela, G. & Parra Saldivar, R. Microfluidics technology for drug delivery: a review. Front Biosci (Elite Ed) 10, 74–91 (2018). https://doi.org/10.2741/e80910.2741/e809 ↗
96. S.T. Sanjay et al., Recent advances of controlled drug delivery using microfluidic platforms. Adv. Drug Deliv. Rev. 128, 3–28 (2018). https://doi.org/10.1016/j.addr.2017.09.01310.1016/j.addr.2017.09.013 ↗
97. P. Rohatgi, N.B. Langhals, D.R. Kipke, P.G. Patil, In vivo performance of a microelectrode neural probe with integrated drug delivery. Neurosurg. Focus 27, E8 (2009). https://doi.org/10.3171/2009.4.FOCUS098310.3171/2009.4.FOCUS0983 ↗
98. A. Pongrácz et al., Deep-brain silicon multielectrodes for simultaneous in vivo neural recording and drug delivery. Sens. Actuators B: Chem. 189, 97–105 (2013). https://doi.org/10.1016/j.snb.2013.01.03210.1016/j.snb.2013.01.032 ↗
99. H. Shin et al., Neural probes with multi-drug delivery capability. Lab Chip 15, 3730–3737 (2015). https://doi.org/10.1039/c5lc00582e10.1039/c5lc00582e ↗
100. A.D. Stroock et al., Chaotic mixer for microchannels. Science 295, 647–651 (2002). https://doi.org/10.1126/science.106623810.1126/science.1066238 ↗