Optogenetic Brain–Computer Interfaces
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| Udgivet i: | Bioengineering vol. 11, no. 8 (2024), p. 821 |
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| 045 | 2 | |b d20240101 |b d20241231 | |
| 100 | 1 | |a Tang, Feifang |u Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China; <email>tangfeifang@hust.edu.cn</email> (F.T.); <email>feiyangyan@hust.edu.cn</email> (F.Y.); <email>zoezhongys@gmail.com</email> (Y.Z.); <email>jinqian_li@brown.edu</email> (J.L.); <email>huigong@mail.hust.edu.cn</email> (H.G.) | |
| 245 | 1 | |a Optogenetic Brain–Computer Interfaces | |
| 260 | |b MDPI AG |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The brain–computer interface (BCI) is one of the most powerful tools in neuroscience and generally includes a recording system, a processor system, and a stimulation system. Optogenetics has the advantages of bidirectional regulation, high spatiotemporal resolution, and cell-specific regulation, which expands the application scenarios of BCIs. In recent years, optogenetic BCIs have become widely used in the lab with the development of materials and software. The systems were designed to be more integrated, lightweight, biocompatible, and power efficient, as were the wireless transmission and chip-level embedded BCIs. The software is also constantly improving, with better real-time performance and accuracy and lower power consumption. On the other hand, as a cutting-edge technology spanning multidisciplinary fields including molecular biology, neuroscience, material engineering, and information processing, optogenetic BCIs have great application potential in neural decoding, enhancing brain function, and treating neural diseases. Here, we review the development and application of optogenetic BCIs. In the future, combined with other functional imaging techniques such as near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI), optogenetic BCIs can modulate the function of specific circuits, facilitate neurological rehabilitation, assist perception, establish a brain-to-brain interface, and be applied in wider application scenarios. | |
| 653 | |a Brain | ||
| 653 | |a Imaging techniques | ||
| 653 | |a Software | ||
| 653 | |a Magnetic resonance imaging | ||
| 653 | |a Data processing | ||
| 653 | |a Functional magnetic resonance imaging | ||
| 653 | |a Electrodes | ||
| 653 | |a Animals | ||
| 653 | |a Microprocessors | ||
| 653 | |a Brain research | ||
| 653 | |a Signal processing | ||
| 653 | |a Medical imaging | ||
| 653 | |a Biochips | ||
| 653 | |a Implants | ||
| 653 | |a Computer applications | ||
| 653 | |a Power consumption | ||
| 653 | |a Infrared imaging | ||
| 653 | |a Molecular biology | ||
| 653 | |a Genetics | ||
| 653 | |a Human subjects | ||
| 653 | |a Infrared spectra | ||
| 653 | |a Optics | ||
| 653 | |a Neurons | ||
| 653 | |a Human-computer interface | ||
| 653 | |a Signal to noise ratio | ||
| 653 | |a Functional morphology | ||
| 653 | |a Near infrared radiation | ||
| 653 | |a Infrared spectroscopy | ||
| 653 | |a Brain mapping | ||
| 653 | |a Genetic engineering | ||
| 653 | |a Power management | ||
| 653 | |a Biocompatibility | ||
| 653 | |a Information processing | ||
| 653 | |a Real time | ||
| 653 | |a Neuroimaging | ||
| 653 | |a Ultrasonic imaging | ||
| 653 | |a Neural coding | ||
| 700 | 1 | |a Feiyang Yan |u Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China; <email>tangfeifang@hust.edu.cn</email> (F.T.); <email>feiyangyan@hust.edu.cn</email> (F.Y.); <email>zoezhongys@gmail.com</email> (Y.Z.); <email>jinqian_li@brown.edu</email> (J.L.); <email>huigong@mail.hust.edu.cn</email> (H.G.) | |
| 700 | 1 | |a Zhong, Yushan |u Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China; <email>tangfeifang@hust.edu.cn</email> (F.T.); <email>feiyangyan@hust.edu.cn</email> (F.Y.); <email>zoezhongys@gmail.com</email> (Y.Z.); <email>jinqian_li@brown.edu</email> (J.L.); <email>huigong@mail.hust.edu.cn</email> (H.G.) | |
| 700 | 1 | |a Li, Jinqian |u Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China; <email>tangfeifang@hust.edu.cn</email> (F.T.); <email>feiyangyan@hust.edu.cn</email> (F.Y.); <email>zoezhongys@gmail.com</email> (Y.Z.); <email>jinqian_li@brown.edu</email> (J.L.); <email>huigong@mail.hust.edu.cn</email> (H.G.) | |
| 700 | 1 | |a Gong, Hui |u Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China; <email>tangfeifang@hust.edu.cn</email> (F.T.); <email>feiyangyan@hust.edu.cn</email> (F.Y.); <email>zoezhongys@gmail.com</email> (Y.Z.); <email>jinqian_li@brown.edu</email> (J.L.); <email>huigong@mail.hust.edu.cn</email> (H.G.) | |
| 700 | 1 | |a Li, Xiangning |u Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China | |
| 773 | 0 | |t Bioengineering |g vol. 11, no. 8 (2024), p. 821 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
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