Transducer Materials for Wireless Neuromodulation
Source abstract
Abstract
Abstract Wireless neuromodulation technology is rapidly advancing as a promising therapeutic strategy for neurological disorders. It relies on the safe and efficient conversion of external physical energy into precise biological modulation signals. Transducer materials are pivotal components in wireless neuromodulation tools, enabling highly efficient energy conversion, miniaturization, and precise signal delivery. This review provides a comprehensive and systematic investigation into the mechanisms connecting various physical energy modalities (e.g., light, magnetic fields, ultrasound) with neuromodulation techniques such as optogenetics, thermogenetics, and electrical stimulation. It thoroughly delineates the material design, physical mechanisms, regulatory features, and animal model verification for each conversion mechanism. Important areas for future research include developing intelligent, multimodal, and integrated nanoregulation platforms, enhancing the long‐term biosafety assessment of materials, elucidating the dose–effect relationship, and establishing a robust preclinical verification system.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Ultrasound and Hyperthermia Applications · Photoreceptor and optogenetics research · Vagus Nerve Stimulation Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Tianjin Key Laboratory of Brain Science and Neural Engineering Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin 300072 China
Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology School of Sciences Tianjin University Tianjin 300350 China
Funding
Natural Science Foundation of Tianjin Municipality · National Natural Science Foundation of China
References (100+)
Show source-provided references
1. 10.1016/S0140-6736(23)01429-010.1016/S0140-6736(23)01429-0 ↗
2. 10.1002/ana.2720210.1002/ana.27202 ↗
3. 10.1093/brain/awae17710.1093/brain/awae177 ↗
4. 10.1016/S0140-6736(23)01478-210.1016/S0140-6736(23)01478-2 ↗
5. 10.1093/brain/awad38210.1093/brain/awad382 ↗
6. 10.1038/s41573-024-00981-w10.1038/s41573-024-00981-w ↗
7. 10.1038/s41582-024-00965-910.1038/s41582-024-00965-9 ↗
8. 10.1016/S0140-6736(21)00393-710.1016/S0140-6736(21)00393-7 ↗
9. 10.1016/j.xcrm.2024.10176110.1016/j.xcrm.2024.101761 ↗
10. 10.1016/j.cub.2024.12.04410.1016/j.cub.2024.12.044 ↗
11. 10.1016/j.celrep.2023.11312510.1016/j.celrep.2023.113125 ↗
12. 10.1016/j.celrep.2024.11466910.1016/j.celrep.2024.114669 ↗
13. 10.1038/s41418-018-0225-110.1038/s41418-018-0225-1 ↗
14. 10.1016/S1474-4422(18)30044-910.1016/S1474-4422(18)30044-9 ↗
15. 10.1186/s40035-022-00297-y10.1186/s40035-022-00297-y ↗
16. 10.1021/acs.nanolett.2c0084810.1021/acs.nanolett.2c00848 ↗
17. 10.1021/acsnano.4c1803010.1021/acsnano.4c18030 ↗
18. 10.1126/sciadv.adf952410.1126/sciadv.adf9524 ↗
19. 10.1038/s41586-022-04615-210.1038/s41586-022-04615-2 ↗
20. 10.1038/s41593-024-01692-610.1038/s41593-024-01692-6 ↗
21. 10.1021/acsanm.4c0146410.1021/acsanm.4c01464 ↗
22. 10.1038/s41467-024-48731-110.1038/s41467-024-48731-1 ↗
23. 10.1038/s41531-024-00693-310.1038/s41531-024-00693-3 ↗
24. 10.1093/brain/awad42910.1093/brain/awad429 ↗
25. 10.1002/mds.2971710.1002/mds.29717 ↗
26. 10.1038/s41551-024-01280-w10.1038/s41551-024-01280-w ↗
27. 10.1038/s41563-024-01886-010.1038/s41563-024-01886-0 ↗
28. 10.1002/adma.20230429710.1002/adma.202304297 ↗
29. 10.1126/science.abi785210.1126/science.abi7852 ↗
30. 10.1038/s41551-023-01029-x10.1038/s41551-023-01029-x ↗
31. 10.1038/s41586-018-0823-610.1038/s41586-018-0823-6 ↗
32. 10.1016/j.bios.2021.11388610.1016/j.bios.2021.113886 ↗
33. 10.1021/acs.accounts.4c0007410.1021/acs.accounts.4c00074 ↗
34. 10.1007/s12274-023-6136-610.1007/s12274-023-6136-6 ↗
35. 10.1016/j.device.2023.10011310.1016/j.device.2023.100113 ↗
36. 10.1021/acsnano.2c1206810.1021/acsnano.2c12068 ↗
37. 10.1126/sciadv.adn036710.1126/sciadv.adn0367 ↗
38. 10.1038/s41565-024-01798-910.1038/s41565-024-01798-9 ↗
39. 10.1016/j.cej.2024.15223810.1016/j.cej.2024.152238 ↗
40. 10.1038/s41563-022-01249-710.1038/s41563-022-01249-7 ↗
41. 10.1002/adma.20210320810.1002/adma.202103208 ↗
42. 10.1126/science.aaq114410.1126/science.aaq1144 ↗
43. 10.1016/j.matt.2021.02.01210.1016/j.matt.2021.02.012 ↗
44. 10.1002/adfm.20250605010.1002/adfm.202506050 ↗
45. 10.1093/cercor/bhx15810.1093/cercor/bhx158 ↗
46. 10.1176/appi.ajp.2025006810.1176/appi.ajp.20250068 ↗
47. 10.1038/s41467-024-52418-y10.1038/s41467-024-52418-y ↗
48. 10.1002/adfm.20240356210.1002/adfm.202403562 ↗
49. 10.1523/JNEUROSCI.1446-23.202310.1523/JNEUROSCI.1446-23.2023 ↗
50. 10.1016/j.neuron.2024.07.00210.1016/j.neuron.2024.07.002 ↗
51. 10.1038/s43586-024-00368-610.1038/s43586-024-00368-6 ↗
52. 10.1016/j.biomaterials.2020.11984010.1016/j.biomaterials.2020.119840 ↗
53. 10.1007/s40820-020-0378-610.1007/s40820-020-0378-6 ↗
54. 10.1038/s41551-016-001010.1038/s41551-016-0010 ↗
55. 10.1038/s41467-022-34235-310.1038/s41467-022-34235-3 ↗
56. 10.1038/s41586-018-0631-z10.1038/s41586-018-0631-z ↗
57. 10.1111/cas.1624310.1111/cas.16243 ↗
58. 10.1002/adma.20160410510.1002/adma.201604105 ↗
59. 10.1021/acsami.8b1536810.1021/acsami.8b15368 ↗
60. 10.1002/adma.20240550910.1002/adma.202405509 ↗
61. 10.1002/advs.20210414010.1002/advs.202104140 ↗
62. 10.1093/nsr/nwac00710.1093/nsr/nwac007 ↗
63. 10.1021/acsnano.4c1649010.1021/acsnano.4c16490 ↗
64. 10.1002/adma.20241976810.1002/adma.202419768 ↗
65. 10.1016/j.csbj.2025.02.01410.1016/j.csbj.2025.02.014 ↗
66. 10.1038/s41467-024-46995-110.1038/s41467-024-46995-1 ↗
67. 10.1038/s41467-024-53505-w10.1038/s41467-024-53505-w ↗
68. 10.1073/pnas.231883712110.1073/pnas.2318837121 ↗
69. 10.1038/s41467-018-07721-w10.1038/s41467-018-07721-w ↗
70. 10.1038/s41467-018-07038-810.1038/s41467-018-07038-8 ↗
71. 10.1021/acsnano.4c0716310.1021/acsnano.4c07163 ↗
72. 10.1002/adhm.20230233010.1002/adhm.202302330 ↗
73. 10.1021/acsami.2c0328910.1021/acsami.2c03289 ↗
74. 10.1002/smll.20210538810.1002/smll.202105388 ↗
75. 10.1002/adma.20200880910.1002/adma.202008809 ↗
76. 10.1021/acsnano.8b0727710.1021/acsnano.8b07277 ↗
77. 10.1038/ncomms1587810.1038/ncomms15878 ↗
78. 10.1038/s41467-020-18026-210.1038/s41467-020-18026-2 ↗
79. 10.1038/s41467-019-09965-610.1038/s41467-019-09965-6 ↗
80. 10.1016/j.celrep.2022.11097210.1016/j.celrep.2022.110972 ↗
81. 10.1038/s41467-024-51085-310.1038/s41467-024-51085-3 ↗
82. Voelker R. · JAMA, J. Am. Med. Assoc. · 2018 · 319 · 2164
83. 10.1016/j.biomaterials.2021.12099710.1016/j.biomaterials.2021.120997 ↗
84. 10.1016/j.compositesb.2022.10986410.1016/j.compositesb.2022.109864 ↗
85. 10.1002/advs.20240419010.1002/advs.202404190 ↗
86. 10.1002/adma.20210631710.1002/adma.202106317 ↗
87. 10.1038/s41467-018-07233-710.1038/s41467-018-07233-7 ↗
88. 10.1016/j.nanoen.2019.02.07310.1016/j.nanoen.2019.02.073 ↗
89. 10.1016/j.neuron.2016.10.06210.1016/j.neuron.2016.10.062 ↗
90. 10.1038/mp.2016.12410.1038/mp.2016.124 ↗
91. 10.1038/s41467-024-51709-810.1038/s41467-024-51709-8 ↗
92. 10.1038/s41593-023-01456-810.1038/s41593-023-01456-8 ↗
93. 10.1093/brain/awad40210.1093/brain/awad402 ↗
94. 10.1186/s12951-024-02524-210.1186/s12951-024-02524-2 ↗
95. 10.1002/adhm.20180113210.1002/adhm.201801132 ↗
96. 10.1021/acs.nanolett.4c0364510.1021/acs.nanolett.4c03645 ↗
97. 10.1002/adma.20241078610.1002/adma.202410786 ↗
98. 10.1002/adfm.20231445610.1002/adfm.202314456 ↗
99. 10.1038/s41467-021-25993-710.1038/s41467-021-25993-7 ↗
100. 10.1039/D4CS00571F10.1039/D4CS00571F ↗