journal article·2026-02Open access

A Closed‐Loop‐Capable Neural Interface Platform for Deep Brain Modulation via Integrated Non‐Viral Gene Delivery, NIR Optogenetics, and Electrophysiological Recording

Chao‐Yi Chu, Zih‐Huei Chen, Chun‐Wei Liang, Pu‐Wei Wu, Wei‐Qing Guo, Bo‐Wei Chen, Chih‐Chia Huang, Ssu‐Ju Li, Ching‐Wen Chang, Yao‐Wen Liang, Shun‐An Kan, Yu‐Chun Lo, Wei‐Chen Huang, You‐Yin Chen, San‐Yuan Chen

Advanced Science· Volume 13· Issue 7

Abstract

Abstract Closed‐loop neuromodulation requires precise, stable, and cell‐specific control of neural circuits with minimal invasiveness. However, conventional optogenetic systems are hindered by invasive optical fibers, viral‐based gene delivery, and disjointed hardware modules. Here, a multifunctional neural interface integrating non‐viral delivery of AAV‐derived Channelrhodopsin‐2 (ChR2) gene plasmid, fiberless intracranial optogenetic stimulation via externally delivered near‐infrared (NIR) excitation, and electrophysiological recording into a single implantable device is reported. The core of this interface is a 3D gold inverse opal (AuIO) microelectrode that provides high surface area, promoting both electroporation‐mediated gene transfection and neural signal acquisition. ChR2‐expressing plasmid DNA is complexed with polyethyleneimine‐neurotensin (NT‐PEI) as non‐viral gene vectors that are immobilized onto designated electrode sites for neuron‐targeted localized gene expression. Upconversion nanoparticles (UCNPs) embedded in a gelatin methacryloyl (GelMA) matrix are precisely integrated onto the microscale AuIO surface via aerosol jet printing, enabling localized surface plasmon resonance (LSPR)‐enhanced NIR‐to‐blue light conversion for remote optogenetic activation. In vivo implantation into the hippocampal dentate gyrus (DG) demonstrates successful opsin expression and real‐time light‐evoked neural activity via single surgical step. This all‐in‐one platform provides a fiber‐free, biocompatible neural interface capable of stable in vivo operation for deep‐brain optogenetic engineering, paving the way for precision closed‐loop neuromodulation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Photoreceptor and optogenetics research · Neuroscience and Neural Engineering · Laser Applications in Dentistry and Medicine

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

Affiliations

Department of Materials Science and Engineering National Yang Ming Chiao Tung University No. 1001, Daxue Rd. Hsinchu 300093 Taiwan, ROC

Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University No. 1001, Daxue Rd. Hsinchu 300093 Taiwan, ROC

Department of Biomedical Engineering National Yang Ming Chiao Tung University No.155, Sec.2, Linong St. Taipei 112304 Taiwan, ROC

Department of Photonics National Cheng Kung University No.1, University Rd. Tainan 701401 Taiwan, ROC

Center of Applied Nanomedicine National Cheng Kung University No.1, University Rd. Tainan 701401 Taiwan, ROC

Department of Education Taipei Veterans General Hospital No.201, Sec. 2, Shipai Rd. Taipei 11217 Taiwan, ROC

Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University 12F., Education & Research Building, Shuang‐Ho Campus, No. 301, Yuantong Rd. New Taipei 23564 Taiwan, ROC

Graduate Institute of Biomedical Science China Medical University No. 91, Xueshi Rd. Taichung 404328 Taiwan, ROC

School of Dentistry, College of Dental Medicine Kaohsiung Medical University No. 100, Shiquan 1st Rd Kaohsiung City 807378 Taiwan

Funding

National Science and Technology Council

References (100+)

Show source-provided references
1. 10.1038/s41398-023-02565-510.1038/s41398-023-02565-5 ↗
2. 10.1016/j.biopsych.2023.09.01410.1016/j.biopsych.2023.09.014 ↗
3. 10.1038/s41378-025-00948-w10.1038/s41378-025-00948-w ↗
4. 10.1007/s13311-018-00682-410.1007/s13311-018-00682-4 ↗
5. 10.1176/appi.ajp.2019.1812142710.1176/appi.ajp.2019.18121427 ↗
6. 10.1016/j.ynstr.2023.10056610.1016/j.ynstr.2023.100566 ↗
7. 10.1038/s41591-024-03196-z10.1038/s41591-024-03196-z ↗
8. 10.1089/brain.2014.1501.abstracts10.1089/brain.2014.1501.abstracts ↗
9. 10.3389/fnint.2012.0002910.3389/fnint.2012.00029 ↗
10. 10.1038/s41467-022-35314-110.1038/s41467-022-35314-1 ↗
11. 10.1073/pnas.212080811910.1073/pnas.2120808119 ↗
12. 10.1007/s13311-015-0411-510.1007/s13311-015-0411-5 ↗
13. 10.3389/fnins.2017.0066310.3389/fnins.2017.00663 ↗
14. 10.1016/j.neuron.2017.09.04710.1016/j.neuron.2017.09.047 ↗
15. 10.1038/s43586-022-00136-410.1038/s43586-022-00136-4 ↗
16. 10.1088/1741-2552/aa7d6210.1088/1741-2552/aa7d62 ↗
17. 10.1021/acsami.9b0326410.1021/acsami.9b03264 ↗
18. 10.1016/j.neuron.2015.10.03210.1016/j.neuron.2015.10.032 ↗
19. 10.35848/1882-0786/adaf0a10.35848/1882-0786/adaf0a ↗
20. 10.1016/j.device.2023.10024510.1016/j.device.2023.100245 ↗
21. 10.1016/j.device.2024.10051910.1016/j.device.2024.100519 ↗
22. 10.1016/j.mtbio.2025.10181910.1016/j.mtbio.2025.101819 ↗
23. 10.1039/C6LC01411A10.1039/C6LC01411A ↗
24. 10.1088/1741-2560/12/1/01100110.1088/1741-2560/12/1/011001 ↗
25. Kuo Y.‐T. · APL Bioeng. · 2025 · 9
26. 10.1021/acsnano.4c1742110.1021/acsnano.4c17421 ↗
27. 10.1016/j.bioactmat.2025.02.00610.1016/j.bioactmat.2025.02.006 ↗
28. 10.1109/TBME.2025.353729710.1109/TBME.2025.3537297 ↗
29. 10.1088/1741-2552/abacd710.1088/1741-2552/abacd7 ↗
30. 10.1038/s41528-025-00410-x10.1038/s41528-025-00410-x ↗
31. 10.1038/s41467-024-55298-410.1038/s41467-024-55298-4 ↗
32. 10.3389/fbioe.2020.62292310.3389/fbioe.2020.622923 ↗
33. Tintelott M. · Polymers (Basel) · 2022 · 14
34. 10.1016/B978-0-323-26208-8.00002-910.1016/B978-0-323-26208-8.00002-9 ↗
35. 10.1016/j.biomaterials.2010.01.05310.1016/j.biomaterials.2010.01.053 ↗
36. Ahn S. H. · Micromachines (Basel) · 2019 · 10
37. 10.3389/fnint.2024.132187210.3389/fnint.2024.1321872 ↗
38. 10.1016/j.addr.2024.11536310.1016/j.addr.2024.115363 ↗
39. 10.7150/thno.8938010.7150/thno.89380 ↗
40. 10.1021/acsami.2c1237010.1021/acsami.2c12370 ↗
41. 10.1016/j.jre.2021.10.00310.1016/j.jre.2021.10.003 ↗
42. 10.1038/s41467-024-54759-010.1038/s41467-024-54759-0 ↗
43. 10.1039/C6CS00415F10.1039/C6CS00415F ↗
44. 10.1038/s41467-021-25993-710.1038/s41467-021-25993-7 ↗
45. 10.1523/ENEURO.0056-24.202410.1523/ENEURO.0056-24.2024 ↗
46. 10.1073/pnas.170181211410.1073/pnas.1701812114 ↗
47. 10.1002/agt2.44810.1002/agt2.448 ↗
48. 10.1002/adhm.20210131010.1002/adhm.202101310 ↗
49. 10.1126/sciadv.adt477110.1126/sciadv.adt4771 ↗
50. 10.1016/j.inoche.2023.11113410.1016/j.inoche.2023.111134 ↗
51. 10.1208/s12248-021-00608-710.1208/s12248-021-00608-7 ↗
52. 10.1186/s12951-023-02044-510.1186/s12951-023-02044-5 ↗
53. 10.3389/fbioe.2024.134907710.3389/fbioe.2024.1349077 ↗
54. 10.3390/polym1618262910.3390/polym16182629 ↗
55. Kislauskis E. · 1992 · 347
56. 10.1016/S1385-299X(00)00032-510.1016/S1385-299X(00)00032-5 ↗
57. Roy D. S. · Proc. Natl. Acad. Sci. USA · 2017 · 114
58. Matos M. R. · Nat. Commun. · 2019 · 10
59. 10.3390/ijms24181412810.3390/ijms241814128 ↗
60. 10.1038/s41380-022-01684-710.1038/s41380-022-01684-7 ↗
61. 10.3389/fbioe.2022.109496810.3389/fbioe.2022.1094968 ↗
62. 10.1002/adhm.20160064710.1002/adhm.201600647 ↗
63. 10.1016/S0168-3659(00)00361-810.1016/S0168-3659(00)00361-8 ↗
64. 10.1021/ar200151m10.1021/ar200151m ↗
65. 10.1166/jnsne.2012.102510.1166/jnsne.2012.1025 ↗
66. 10.1088/1741-2552/ad732210.1088/1741-2552/ad7322 ↗
67. 10.1517/1742524100360225910.1517/17425241003602259 ↗
68. 10.1002/zamm.20041007410.1002/zamm.200410074 ↗
69. 10.1088/1361-6560/aa8c5310.1088/1361-6560/aa8c53 ↗
70. 10.1016/S0924-4247(02)00427-210.1016/S0924-4247(02)00427-2 ↗
71. 10.1038/s41528-025-00403-w10.1038/s41528-025-00403-w ↗
72. 10.1038/s41565-023-01570-510.1038/s41565-023-01570-5 ↗
73. 10.1002/smll.20231022110.1002/smll.202310221 ↗
74. 10.1038/nmeth.142010.1038/nmeth.1420 ↗
75. 10.1016/j.jneumeth.2009.08.00210.1016/j.jneumeth.2009.08.002 ↗
76. 10.1016/j.actbio.2021.08.03510.1016/j.actbio.2021.08.035 ↗
77. 10.1002/adhm.20180113210.1002/adhm.201801132 ↗
78. 10.1016/j.neures.2020.01.00510.1016/j.neures.2020.01.005 ↗
79. 10.1021/acsami.0c0425810.1021/acsami.0c04258 ↗
80. 10.3390/nano1104103710.3390/nano11041037 ↗
81. 10.1007/s00339-022-05462-810.1007/s00339-022-05462-8 ↗
82. 10.1038/nn152510.1038/nn1525 ↗
83. 10.1016/j.neuron.2011.06.00410.1016/j.neuron.2011.06.004 ↗
84. 10.1016/j.bbr.2021.11370210.1016/j.bbr.2021.113702 ↗
85. 10.1088/2050-6120/ab029f10.1088/2050-6120/ab029f ↗
86. 10.1002/adma.20130119710.1002/adma.201301197 ↗
87. 10.3390/coatings1205062210.3390/coatings12050622 ↗
88. 10.1038/s41378-024-00842-x10.1038/s41378-024-00842-x ↗
89. 10.1038/s41378-022-00444-510.1038/s41378-022-00444-5 ↗
90. 10.1038/s41467-021-26168-010.1038/s41467-021-26168-0 ↗
91. 10.1126/science.aaq114410.1126/science.aaq1144 ↗
92. Lin X. · Adv. Healthcare Mater. · 2017 · 6
93. 10.3389/fmolb.2021.77171710.3389/fmolb.2021.771717 ↗
94. 10.1007/s12264-024-01179-110.1007/s12264-024-01179-1 ↗
95. M.Jean K.Schulmeister D. J.Lund B. E.Stuck presented at International Laser Safety Conference2019.
96. Goncalves S. B. · Micromachines (Basel) · 2018 · 9
97. 10.1002/adhm.20230328910.1002/adhm.202303289 ↗
98. 10.3390/pharmaceutics1703035210.3390/pharmaceutics17030352 ↗
99. 10.1034/j.1601-183X.2003.00030.x10.1034/j.1601-183X.2003.00030.x ↗
100. 10.1016/j.omtm.2023.08.02110.1016/j.omtm.2023.08.021 ↗