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Fang X, Ding H, Chen Y, Wang Q, Yuan X, Zhang C, Huang J, Huang J, Lv J, Hu H, Huang C, Hu X, Lin Y, Zhang N, Zhou W, Huang Y, Li W, Niu S, Wu Z, Lin J, Yang B, Yuan T, Zhang W. Wireless Optogenetic Targeting Nociceptors Helps Host Cells Win the Competitive Colonization in Implant-Associated Infections. SMALL METHODS 2024:e2400216. [PMID: 39087367 DOI: 10.1002/smtd.202400216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 06/20/2024] [Indexed: 08/02/2024]
Abstract
The role of nociceptive nerves in modulating immune responses to harmful stimuli via pain or itch induction remains controversial. Compared to conventional surgery, various implant surgeries are more prone to infections even with low bacterial loads. In this study, an optogenetic technique is introduced for selectively activating peripheral nociceptive nerves using a fully implantable, wirelessly rechargeable optogenetic device. By targeting nociceptors in the limbs of awake, freely moving mice, it is found that activation induces anticipatory immunity in the innervated territory and enhances the adhesion of various host cells to the implant surface. This effect mediates acute immune cell-mediated killing of Staphylococcus aureus on implants and enables the host to win "implant surface competition" against Staphylococcus aureus. This finding provides new strategies for preventing and treating implant-associated infections.
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Affiliation(s)
- Xinyu Fang
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Haiqi Ding
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Yang Chen
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Qijin Wang
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedics, Affiliated Mindong Hospital of Fujian Medical University, Fu'an, 355000, China
| | - Xuhui Yuan
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Chaofan Zhang
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Jiagu Huang
- Department of Orthopedic Surgery, Ningde municipal Hospital, Ningde, 352000, China
| | - Jiexin Huang
- Department of Orthopedic Surgery, Nanping First Hospital, Nanping, 353000, China
| | - Jianhua Lv
- Department of Orthopedic Surgery, Affiliated Hospital of Putian University, Putian, 351100, China
| | - Hongxin Hu
- Department of Orthopedic Surgery, Affiliated Hospital of Putian University, Putian, 351100, China
| | - Changyu Huang
- Department of Orthopedic Surgery, Quanzhou Orthopedic-traumatological Hospital, Quanzhou, 362000, China
| | - Xueni Hu
- Department of Laboratory Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Yiming Lin
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Nanxin Zhang
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Wei Zhou
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Ying Huang
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Wenbo Li
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Susheng Niu
- Key Laboratory of Orthopedics & Traumatology of Traditional Chinese Medicine and Rehabilitation Ministry of Education, Fujian university of Traditional Chinese Medicine, Fuzhou, 350000, China
| | - Zhaoyang Wu
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Jianhua Lin
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Bin Yang
- Department of Laboratory Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Tifei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200000, China
| | - Wenming Zhang
- Department of Orthopedic Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
- Department of Orthopedic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China
- Fujian Provincial Institute of Orthopedics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, China
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2
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Sahasrabudhe A, Rupprecht LE, Orguc S, Khudiyev T, Tanaka T, Sands J, Zhu W, Tabet A, Manthey M, Allen H, Loke G, Antonini MJ, Rosenfeld D, Park J, Garwood IC, Yan W, Niroui F, Fink Y, Chandrakasan A, Bohórquez DV, Anikeeva P. Multifunctional microelectronic fibers enable wireless modulation of gut and brain neural circuits. Nat Biotechnol 2024; 42:892-904. [PMID: 37349522 PMCID: PMC11180606 DOI: 10.1038/s41587-023-01833-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/23/2023] [Indexed: 06/24/2023]
Abstract
Progress in understanding brain-viscera interoceptive signaling is hindered by a dearth of implantable devices suitable for probing both brain and peripheral organ neurophysiology during behavior. Here we describe multifunctional neural interfaces that combine the scalability and mechanical versatility of thermally drawn polymer-based fibers with the sophistication of microelectronic chips for organs as diverse as the brain and the gut. Our approach uses meters-long continuous fibers that can integrate light sources, electrodes, thermal sensors and microfluidic channels in a miniature footprint. Paired with custom-fabricated control modules, the fibers wirelessly deliver light for optogenetics and transfer data for physiological recording. We validate this technology by modulating the mesolimbic reward pathway in the mouse brain. We then apply the fibers in the anatomically challenging intestinal lumen and demonstrate wireless control of sensory epithelial cells that guide feeding behaviors. Finally, we show that optogenetic stimulation of vagal afferents from the intestinal lumen is sufficient to evoke a reward phenotype in untethered mice.
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Affiliation(s)
- Atharva Sahasrabudhe
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Laura E Rupprecht
- Laboratory of Gut Brain Neurobiology, Duke University, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
| | - Sirma Orguc
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Tural Khudiyev
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Tomo Tanaka
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Secure System Platform Research Laboratories, NEC Corporation, Kawasaki, Japan
| | - Joanna Sands
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Weikun Zhu
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Anthony Tabet
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Marie Manthey
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Harrison Allen
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Gabriel Loke
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Marc-Joseph Antonini
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Harvard/MIT Health Sciences and Technology Graduate Program, Cambridge, MA, USA
| | - Dekel Rosenfeld
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jimin Park
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Indie C Garwood
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Harvard/MIT Health Sciences and Technology Graduate Program, Cambridge, MA, USA
| | - Wei Yan
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Farnaz Niroui
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yoel Fink
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Institute for Soldier Nanotechnologies, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Anantha Chandrakasan
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Diego V Bohórquez
- Laboratory of Gut Brain Neurobiology, Duke University, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
- Department of Neurobiology, Duke University, Durham, NC, USA
- Duke Institute for Brain Sciences, Duke University, Durham, NC, USA
| | - Polina Anikeeva
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
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3
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Dong K, Liu WC, Su Y, Lyu Y, Huang H, Zheng N, Rogers JA, Nan K. Scalable Electrophysiology of Millimeter-Scale Animals with Electrode Devices. BME FRONTIERS 2023; 4:0034. [PMID: 38435343 PMCID: PMC10907027 DOI: 10.34133/bmef.0034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 11/08/2023] [Indexed: 03/05/2024] Open
Abstract
Millimeter-scale animals such as Caenorhabditis elegans, Drosophila larvae, zebrafish, and bees serve as powerful model organisms in the fields of neurobiology and neuroethology. Various methods exist for recording large-scale electrophysiological signals from these animals. Existing approaches often lack, however, real-time, uninterrupted investigations due to their rigid constructs, geometric constraints, and mechanical mismatch in integration with soft organisms. The recent research establishes the foundations for 3-dimensional flexible bioelectronic interfaces that incorporate microfabricated components and nanoelectronic function with adjustable mechanical properties and multidimensional variability, offering unique capabilities for chronic, stable interrogation and stimulation of millimeter-scale animals and miniature tissue constructs. This review summarizes the most advanced technologies for electrophysiological studies, based on methods of 3-dimensional flexible bioelectronics. A concluding section addresses the challenges of these devices in achieving freestanding, robust, and multifunctional biointerfaces.
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Affiliation(s)
- Kairu Dong
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- National Key Laboratory of Advanced Drug Delivery and Release Systems,
Zhejiang University, Hangzhou 310058, China
- College of Biomedical Engineering & Instrument Science,
Zhejiang University, Hangzhou, 310027, China
| | - Wen-Che Liu
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- National Key Laboratory of Advanced Drug Delivery and Release Systems,
Zhejiang University, Hangzhou 310058, China
| | - Yuyan Su
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- Department of Gastroenterology, Brigham and Women’s Hospital,
Harvard Medical School, Boston, MA 02115, USA
| | - Yidan Lyu
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
| | - Hao Huang
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- College of Chemical and Biological Engineering,
Zhejiang University, Hangzhou 310058, China
| | - Nenggan Zheng
- Qiushi Academy for Advanced Studies,
Zhejiang University, Hangzhou 310027, China
- College of Computer Science and Technology,
Zhejiang University, Hangzhou 310027, China
- State Key Lab of Brain-Machine Intelligence,
Zhejiang University, Hangzhou 310058, China
- CCAI by MOE and Zhejiang Provincial Government (ZJU), Hangzhou 310027, China
| | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics,
Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering,
Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering,
Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering,
Northwestern University, Evanston, IL 60208, USA
| | - Kewang Nan
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- National Key Laboratory of Advanced Drug Delivery and Release Systems,
Zhejiang University, Hangzhou 310058, China
- Jinhua Institute of Zhejiang University, Jinhua 321299, China
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4
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Park J, Kim K, Kim Y, Kim TS, Min IS, Li B, Cho YU, Lee C, Lee JY, Gao Y, Kang K, Kim DH, Choi WJ, Shin HB, Kang HK, Song YM, Cheng H, Cho IJ, Yu KJ. A wireless, solar-powered, optoelectronic system for spatial restriction-free long-term optogenetic neuromodulations. SCIENCE ADVANCES 2023; 9:eadi8918. [PMID: 37756405 PMCID: PMC10530225 DOI: 10.1126/sciadv.adi8918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/25/2023] [Indexed: 09/29/2023]
Abstract
Numerous wireless optogenetic systems have been reported for practical tether-free optogenetics in freely moving animals. However, most devices rely on battery-powered or coil-powered systems requiring periodic battery replacement or bulky, high-cost charging equipment with delicate antenna design. This leads to spatiotemporal constraints, such as limited experimental duration due to battery life or animals' restricted movement within specific areas to maintain wireless power transmission. In this study, we present a wireless, solar-powered, flexible optoelectronic device for neuromodulation of the complete freely behaving subject. This device provides chronic operation without battery replacement or other external settings including impedance matching technique and radio frequency generators. Our device uses high-efficiency, thin InGaP/GaAs tandem flexible photovoltaics to harvest energy from various light sources, which powers Bluetooth system to facilitate long-term, on-demand use. Observation of sustained locomotion behaviors for a month in mice via secondary motor cortex area stimulation demonstrates the notable capabilities of our device, highlighting its potential for space-free neuromodulating applications.
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Affiliation(s)
- Jaejin Park
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Kyubeen Kim
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Yujin Kim
- Department of Biomedical Sciences, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
| | - Tae Soo Kim
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
- Center for Opto-Electronic Materials and Devices, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
| | - In Sik Min
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Bowen Li
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Young Uk Cho
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Chanwoo Lee
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Ju Young Lee
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Yuyan Gao
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Kyowon Kang
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Do Hyeon Kim
- School of Electrical Engineering and Computer Science (EECS), Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Won Jun Choi
- Center for Opto-Electronic Materials and Devices, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
| | - Hyun-Beom Shin
- Korea Advanced Nano Fab Center (KANC), Suwon 443-270, Korea
| | - Ho Kwan Kang
- Korea Advanced Nano Fab Center (KANC), Suwon 443-270, Korea
| | - Young Min Song
- School of Electrical Engineering and Computer Science (EECS), Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
- Materials Research Institute, The Pennsylvania State University, University Park, PA 16802, USA
| | - Il-Joo Cho
- Department of Biomedical Sciences, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
- Department of Anatomy, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
| | - Ki Jun Yu
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
- Department of Electrical and Electronic Engineering, YU-Korea Institute of Science and Technology (KIST) Institute, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
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5
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Guan S, Tian H, Yang Y, Liu M, Ding J, Wang J, Fang Y. Self-assembled ultraflexible probes for long-term neural recordings and neuromodulation. Nat Protoc 2023; 18:1712-1744. [PMID: 37248393 DOI: 10.1038/s41596-023-00824-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 02/14/2023] [Indexed: 05/31/2023]
Abstract
Ultraflexible microelectrode arrays (MEAs) that can stably record from a large number of neurons after their chronic implantation offer opportunities for understanding neural circuit mechanisms and developing next-generation brain-computer interfaces. The implementation of ultraflexible MEAs requires their reliable implantation into deep brain tissues in a minimally invasive manner, as well as their precise integration with optogenetic tools to enable the simultaneous recording of neural activity and neuromodulation. Here, we describe the process for the preparation of elastocapillary self-assembled ultraflexible MEAs, their use in combination with adeno-associated virus vectors carrying opsin genes and promoters to form an optrode probe and their in vivo experimental use in the brains of rodents, enabling electrophysiological recordings and optical modulation of neuronal activity over long periods of time (on the order of weeks to months). The procedures, including device fabrication, probe assembly and implantation, can be completed within 3 weeks. The protocol is intended to facilitate the applications of ultraflexible MEAs for long-term neuronal activity recording and combined electrophysiology and optogenetics. The protocol requires users with expertise in clean room facilities for the fabrication of ultraflexible MEAs.
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Affiliation(s)
- Shouliang Guan
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China
| | - Huihui Tian
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
| | - Yinan Yang
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Mengcheng Liu
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
| | - Jianfei Ding
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
| | - Jinfen Wang
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
| | - Ying Fang
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
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6
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Liu G, Lv Z, Batool S, Li MZ, Zhao P, Guo L, Wang Y, Zhou Y, Han ST. Biocompatible Material-Based Flexible Biosensors: From Materials Design to Wearable/Implantable Devices and Integrated Sensing Systems. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023:e2207879. [PMID: 37009995 DOI: 10.1002/smll.202207879] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/28/2023] [Indexed: 06/19/2023]
Abstract
Human beings have a greater need to pursue life and manage personal or family health in the context of the rapid growth of artificial intelligence, big data, the Internet of Things, and 5G/6G technologies. The application of micro biosensing devices is crucial in connecting technology and personalized medicine. Here, the progress and current status from biocompatible inorganic materials to organic materials and composites are reviewed and the material-to-device processing is described. Next, the operating principles of pressure, chemical, optical, and temperature sensors are dissected and the application of these flexible biosensors in wearable/implantable devices is discussed. Different biosensing systems acting in vivo and in vitro, including signal communication and energy supply are then illustrated. The potential of in-sensor computing for applications in sensing systems is also discussed. Finally, some essential needs for commercial translation are highlighted and future opportunities for flexible biosensors are considered.
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Affiliation(s)
- Gang Liu
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Ziyu Lv
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Saima Batool
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | | | - Pengfei Zhao
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Liangchao Guo
- College of Mechanical Engineering, Yangzhou University, Yangzhou, 225127, P. R. China
| | - Yan Wang
- School of Microelectronics, Hefei University of Technology, Hefei, 230009, P. R. China
| | - Ye Zhou
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Su-Ting Han
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
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7
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Won SM, Cai L, Gutruf P, Rogers JA. Wireless and battery-free technologies for neuroengineering. Nat Biomed Eng 2023; 7:405-423. [PMID: 33686282 PMCID: PMC8423863 DOI: 10.1038/s41551-021-00683-3] [Citation(s) in RCA: 96] [Impact Index Per Article: 96.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 12/28/2020] [Indexed: 12/16/2022]
Abstract
Tethered and battery-powered devices that interface with neural tissues can restrict natural motions and prevent social interactions in animal models, thereby limiting the utility of these devices in behavioural neuroscience research. In this Review Article, we discuss recent progress in the development of miniaturized and ultralightweight devices as neuroengineering platforms that are wireless, battery-free and fully implantable, with capabilities that match or exceed those of wired or battery-powered alternatives. Such classes of advanced neural interfaces with optical, electrical or fluidic functionality can also combine recording and stimulation modalities for closed-loop applications in basic studies or in the practical treatment of abnormal physiological processes.
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Affiliation(s)
- Sang Min Won
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea
| | - Le Cai
- Biomedical Engineering, College of Engineering, The University of Arizona, Tucson, AZ, USA
| | - Philipp Gutruf
- Biomedical Engineering, College of Engineering, The University of Arizona, Tucson, AZ, USA.
- Bio5 Institute and Neuroscience GIDP, University of Arizona, Tucson, AZ, USA.
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA.
| | - John A Rogers
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
- Center for Advanced Molecular Imaging, Northwestern University, Evanston, IL, USA.
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Neurological Surgery, Northwestern University, Evanston, IL, USA.
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Evanston, IL, USA.
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8
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Customizable, wireless and implantable neural probe design and fabrication via 3D printing. Nat Protoc 2023; 18:3-21. [PMID: 36271159 PMCID: PMC10059091 DOI: 10.1038/s41596-022-00758-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 07/07/2022] [Indexed: 01/14/2023]
Abstract
This Protocol Extension describes the low-cost production of rapidly customizable optical neural probes for in vivo optogenetics. We detail the use of a 3D printer to fabricate minimally invasive microscale inorganic light-emitting-diode-based neural probes that can control neural circuit activity in freely behaving animals, thus extending the scope of two previously published protocols describing the fabrication and implementation of optoelectronic devices for studying intact neural systems. The 3D-printing fabrication process does not require extensive training and eliminates the need for expensive materials, specialized cleanroom facilities and time-consuming microfabrication techniques typical of conventional manufacturing processes. As a result, the design of the probes can be quickly optimized, on the basis of experimental need, reducing the cost and turnaround for customization. For example, 3D-printed probes can be customized to target multiple brain regions or scaled up for use in large animal models. This protocol comprises three procedures: (1) probe fabrication, (2) wireless module preparation and (3) implantation for in vivo assays. For experienced researchers, neural probe and wireless module fabrication requires ~2 d, while implantation should take 30-60 min per animal. Time required for behavioral assays will vary depending on the experimental design and should include at least 5 d of animal handling before implantation of the probe, to familiarize each animal to their handler, thus reducing handling stress that may influence the result of the behavioral assays. The implementation of customized probes improves the flexibility in optogenetic experimental design and increases access to wireless probes for in vivo optogenetic research.
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9
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Kim HJ, Ho JS. Wireless interfaces for brain neurotechnologies. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2022; 380:20210020. [PMID: 35658679 DOI: 10.1098/rsta.2021.0020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/13/2021] [Indexed: 06/15/2023]
Abstract
Wireless interfaces enable brain-implanted devices to remotely interact with the external world. They are critical components in modern research and clinical neurotechnologies and play a central role in determining their overall size, lifetime and functionality. Wireless interfaces use a wide range of modalities-including radio-frequency fields, acoustic waves and light-to transfer energy and data to and from an implanted device. These forms of energy interact with living tissue through distinct mechanisms and therefore lead to systems with vastly different form factors, operating characteristics, and safety considerations. This paper reviews recent advances in the development of wireless interfaces for brain neurotechnologies. We summarize the requirements that state-of-the-art brain-implanted devices impose on the wireless interface, and discuss the working principles and applications of wireless interfaces based on each modality. We also investigate challenges associated with wireless brain neurotechnologies and discuss emerging solutions permitted by recent developments in electrical engineering and materials science. This article is part of the theme issue 'Advanced neurotechnologies: translating innovation for health and well-being'.
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Affiliation(s)
- Han-Joon Kim
- Department of Electrical and Computer Engineering National University of Singapore, Queenstown, Singapore
| | - John S Ho
- Department of Electrical and Computer Engineering National University of Singapore, Queenstown, Singapore
- The N.1 Institute for Health National University of Singapore, Queenstown, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Queenstown, Singapore
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10
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Zhang H, Peng Y, Zhang N, Yang J, Wang Y, Ding H. Emerging Optoelectronic Devices Based on Microscale LEDs and Their Use as Implantable Biomedical Applications. MICROMACHINES 2022; 13:mi13071069. [PMID: 35888886 PMCID: PMC9323269 DOI: 10.3390/mi13071069] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 02/05/2023]
Abstract
Thin-film microscale light-emitting diodes (LEDs) are efficient light sources and their integrated applications offer robust capabilities and potential strategies in biomedical science. By leveraging innovations in the design of optoelectronic semiconductor structures, advanced fabrication techniques, biocompatible encapsulation, remote control circuits, wireless power supply strategies, etc., these emerging applications provide implantable probes that differ from conventional tethering techniques such as optical fibers. This review introduces the recent advancements of thin-film microscale LEDs for biomedical applications, covering the device lift-off and transfer printing fabrication processes and the representative biomedical applications for light stimulation, therapy, and photometric biosensing. Wireless power delivery systems have been outlined and discussed to facilitate the operation of implantable probes. With such wireless, battery-free, and minimally invasive implantable light-source probes, these biomedical applications offer excellent opportunities and instruments for both biomedical sciences research and clinical diagnosis and therapy.
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Affiliation(s)
- Haijian Zhang
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
| | - Yanxiu Peng
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
| | - Nuohan Zhang
- GMA Optoelectronic Technology Limited, Xinyang 464000, China;
| | - Jian Yang
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
| | - Yongtian Wang
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
| | - He Ding
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
- Correspondence:
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11
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Hee Lee J, Lee S, Kim D, Jae Lee K. Implantable Micro-Light-Emitting Diode (µLED)-based optogenetic interfaces toward human applications. Adv Drug Deliv Rev 2022; 187:114399. [PMID: 35716898 DOI: 10.1016/j.addr.2022.114399] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/29/2022] [Accepted: 06/10/2022] [Indexed: 11/25/2022]
Abstract
Optogenetics has received wide attention in biomedical fields because of itsadvantages in temporal precision and spatial resolution. Beyond contributions to important advances in fundamental research, optogenetics is inspiring a shift towards new methods of improving human well-being and treating diseases. Soft, flexible and biocompatible systems using µLEDs as a light source have been introduced to realize brain-compatible optogenetic implants, but there are still many technical challenges to overcome before their human applications. In this review, we address progress in the development of implantable µLED probes and recent achievements in (i) device engineering design, (ii) driving power, (iii) multifunctionality and (iv) closed-loop systems. (v) Expanded optogenetic applications based on remarkable advances in µLED implants will also be discussed.
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Affiliation(s)
- Jae Hee Lee
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Sinjeong Lee
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Daesoo Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
| | - Keon Jae Lee
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
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12
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Abstract
The biological taste system has the unique ability to detect taste substances. Biomaterials originating from a biological taste system have been recognized as ideal candidates to serve as sensitive elements in the development of taste-based biosensors. In this study, we developed a taste bud organoid-based biosensor for the research of taste sensation. Taste bud organoids prepared from newborn mice were cultured and loaded onto the surface of a 64-channel microelectrode array (MEA) chip to explore the electrophysiological changes upon taste; an MEA chip was used to simultaneously record multiple-neuron firing activities from taste bud organoids under different taste stimuli, which helped to reveal the role of taste buds in taste sensing. The obtained results show that taste cells separated from the taste epithelium grew well into spherical structures under 3D culture conditions. These structures were composed of multiple cells with obvious budding structures. Moreover, the multicellular spheres were seeded on a 64-channel microelectrode array and processed with different taste stimuli. It was indicated that the MEA chip could efficiently monitor the electrophysiological signals from taste bud organoids in response to various taste stimuli. This biosensor provides a new method for the study of taste sensations and taste bud functions.
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13
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Prominski A, Shi J, Li P, Yue J, Lin Y, Park J, Tian B, Rotenberg MY. Porosity-based heterojunctions enable leadless optoelectronic modulation of tissues. NATURE MATERIALS 2022; 21:647-655. [PMID: 35618824 DOI: 10.1038/s41563-022-01249-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 04/06/2022] [Indexed: 06/15/2023]
Abstract
Homo- and heterojunctions play essential roles in semiconductor-based devices such as field-effect transistors, solar cells, photodetectors and light-emitting diodes. Semiconductor junctions have been recently used to optically trigger biological modulation via photovoltaic or photoelectrochemical mechanisms. The creation of heterojunctions typically involves materials with different doping or composition, which leads to high cost, complex fabrications and potential side effects at biointerfaces. Here we show that a porosity-based heterojunction, a largely overlooked system in materials science, can yield an efficient photoelectrochemical response from the semiconductor surface. Using self-limiting stain etching, we create a nanoporous/non-porous, soft-hard heterojunction in p-type silicon within seconds under ambient conditions. Upon surface oxidation, the heterojunction yields a strong photoelectrochemical response in saline. Without any interconnects or metal modifications, the heterojunction enables efficient non-genetic optoelectronic stimulation of isolated rat hearts ex vivo and sciatic nerves in vivo with optical power comparable to optogenetics, and with near-infrared capabilities.
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Affiliation(s)
- Aleksander Prominski
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- The James Franck Institute, The University of Chicago, Chicago, IL, USA
- The Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA
| | - Jiuyun Shi
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- The James Franck Institute, The University of Chicago, Chicago, IL, USA
- The Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA
| | - Pengju Li
- The Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, USA
| | - Jiping Yue
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Yiliang Lin
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- The James Franck Institute, The University of Chicago, Chicago, IL, USA
- The Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA
| | - Jihun Park
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- The James Franck Institute, The University of Chicago, Chicago, IL, USA
- The Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA
| | - Bozhi Tian
- Department of Chemistry, The University of Chicago, Chicago, IL, USA.
- The James Franck Institute, The University of Chicago, Chicago, IL, USA.
- The Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.
| | - Menahem Y Rotenberg
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
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14
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Ren B, Yu Y, Poopal RK, Qiao L, Ren B, Ren Z. IR-Based Novel Device for Real-Time Online Acquisition of Fish Heart ECG Signals. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:4262-4271. [PMID: 35258949 DOI: 10.1021/acs.est.1c07732] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
We developed an infrared (IR)-based real-time online monitoring device (US Patent No: US 10,571,448 B2) to quantify heart electrocardiogram (ECG) signals to assess the water quality based on physiological changes in fish. The device is compact, allowing us to monitor cardiac function for an extended period (from 7 to 30 days depending on the rechargeable battery capacity) without function injury and disturbance of swimming activity. The electrode samples and the biopotential amplifier and microcontroller process the cardiac-electrical signals. An infrared transceiver transmits denoised electrocardiac signals to complete the signal transmission. The infrared receiver array and biomedical acquisition signal processing system send signals to the computer. The software in the computer processes the data in real time. We quantified ECG indexes (P-wave, Q-wave, R-wave, S-wave, T-wave, PR-interval, QRS-complex, and QT-interval) of carp precisely and incessantly under the different experimental setup (CuSO4 and deltamethrin). The ECG cue responses were chemical-specific based on CuSO4 and deltamethrin exposures. This study provides an additional technology for noninvasive water quality surveillance.
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Affiliation(s)
- Baixiang Ren
- Institute of Environment and Ecology, Shandong Normal University, 250358 Jinan, China
| | - Yaxin Yu
- Institute of Environment and Ecology, Shandong Normal University, 250358 Jinan, China
| | - Rama-Krishnan Poopal
- Institute of Environment and Ecology, Shandong Normal University, 250358 Jinan, China
| | - Linlin Qiao
- Institute of Environment and Ecology, Shandong Normal University, 250358 Jinan, China
| | - Baichuan Ren
- Institute of Environment and Ecology, Shandong Normal University, 250358 Jinan, China
| | - Zongming Ren
- Institute of Environment and Ecology, Shandong Normal University, 250358 Jinan, China
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15
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Yang Y, Wu M, Wegener AJ, Vázquez-Guardado A, Efimov AI, Lie F, Wang T, Ma Y, Banks A, Li Z, Xie Z, Huang Y, Good CH, Kozorovitskiy Y, Rogers JA. Preparation and use of wireless reprogrammable multilateral optogenetic devices for behavioral neuroscience. Nat Protoc 2022; 17:1073-1096. [PMID: 35173306 PMCID: PMC9311268 DOI: 10.1038/s41596-021-00672-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 12/01/2021] [Indexed: 11/08/2022]
Abstract
Wireless battery-free optogenetic devices enable behavioral neuroscience studies in groups of animals with minimal interference to natural behavior. Real-time independent control of optogenetic stimulation through near-field communication dramatically expands the realm of applications of these devices in broad contexts of neuroscience research. Dissemination of these tools with advanced functionalities to the neuroscience community requires protocols for device manufacturing and experimental implementation. This protocol describes detailed procedures for fabrication, encapsulation and implantation of recently developed advanced wireless devices in head- and back-mounted forms. In addition, procedures for standard implementation of experimental systems in mice are provided. This protocol aims to facilitate the application of wireless optogenetic devices in advanced optogenetic experiments involving groups of freely moving rodents and complex environmental designs. The entire protocol lasts ~3-5 weeks.
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Affiliation(s)
- Yiyuan Yang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
| | - Mingzheng Wu
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
| | - Amy J Wegener
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA
| | - Abraham Vázquez-Guardado
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Andrew I Efimov
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
| | | | - Taoyi Wang
- Department of Precision Instrument, Tsinghua University, Beijing, China
| | - Yuhang Ma
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Anthony Banks
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Neurolux Inc., Evanston, IL, USA
- Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Zhengwei Li
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
| | - Zhaoqian Xie
- State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian, China
- Department of Engineering Mechanics, Dalian University of Technology, Dalian, China
- Ningbo Institute of Dalian University of Technology, Ningbo, China
| | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Cameron H Good
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA.
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA.
| | - Yevgenia Kozorovitskiy
- Department of Neurobiology, Northwestern University, Evanston, IL, USA.
- Chemistry of Life Processes Institutes, Northwestern University, Evanston, IL, USA.
| | - John A Rogers
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
- Neurolux Inc., Evanston, IL, USA.
- Feinberg School of Medicine, Northwestern University, Evanston, IL, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Neurological Surgery, Northwestern University, Evanston, IL, USA.
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
- Department of Computer Science, Northwestern University, Evanston, IL, USA.
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16
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Tian H, Xu K, Zou L, Fang Y. Multimodal neural probes for combined optogenetics and electrophysiology. iScience 2022; 25:103612. [PMID: 35106461 PMCID: PMC8786639 DOI: 10.1016/j.isci.2021.103612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
To understand how brain functions arise from interconnected neural networks, it is necessary to develop tools that can allow simultaneous manipulation and recording of neural activities. Multimodal neural probes, especially those that combine optogenetics with electrophysiology, provide a powerful tool for the dissection of neural circuit functions and understanding of brain diseases. In this review, we provide an overview of recent developments in multimodal neural probes. We will focus on materials and integration strategies of multimodal neural probes to achieve combined optogenetic stimulation and electrical recordings with high spatiotemporal precision and low invasiveness. In addition, we will also discuss future opportunities of multimodal neural interfaces in basic and translational neuroscience.
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Affiliation(s)
- Huihui Tian
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Ke Xu
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liang Zou
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Fang
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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17
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Fluorescence imaging of large-scale neural ensemble dynamics. Cell 2022; 185:9-41. [PMID: 34995519 PMCID: PMC8849612 DOI: 10.1016/j.cell.2021.12.007] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 12/06/2021] [Accepted: 12/07/2021] [Indexed: 12/14/2022]
Abstract
Recent progress in fluorescence imaging allows neuroscientists to observe the dynamics of thousands of individual neurons, identified genetically or by their connectivity, across multiple brain areas and for extended durations in awake behaving mammals. We discuss advances in fluorescent indicators of neural activity, viral and genetic methods to express these indicators, chronic animal preparations for long-term imaging studies, and microscopes to monitor and manipulate the activity of large neural ensembles. Ca2+ imaging studies of neural activity can track brain area interactions and distributed information processing at cellular resolution. Across smaller spatial scales, high-speed voltage imaging reveals the distinctive spiking patterns and coding properties of targeted neuron types. Collectively, these innovations will propel studies of brain function and dovetail with ongoing neuroscience initiatives to identify new neuron types and develop widely applicable, non-human primate models. The optical toolkit's growing sophistication also suggests that "brain observatory" facilities would be useful open resources for future brain-imaging studies.
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18
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Qazi R, Parker KE, Kim CY, Rill R, Norris MR, Chung J, Bilbily J, Kim JR, Walicki MC, Gereau GB, Lim H, Xiong Y, Lee JR, Tapia MA, Kravitz AV, Will MJ, Ha S, McCall JG, Jeong JW. Scalable and modular wireless-network infrastructure for large-scale behavioural neuroscience. Nat Biomed Eng 2021; 6:771-786. [PMID: 34824397 PMCID: PMC10180496 DOI: 10.1038/s41551-021-00814-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 09/17/2021] [Indexed: 11/09/2022]
Abstract
The use of rodents to acquire understanding of the function of neural circuits and of the physiological, genetic and developmental underpinnings of behaviour has been constrained by limitations in the scalability, automation and high-throughput operation of implanted wireless neural devices. Here we report scalable and modular hardware and software infrastructure for setting up and operating remotely programmable miniaturized wireless networks leveraging Bluetooth Low Energy for the study of the long-term behaviour of large groups of rodents. The integrated system allows for automated, scheduled and real-time experimentation via the simultaneous and independent use of multiple neural devices and equipment within and across laboratories. By measuring the locomotion, feeding, arousal and social behaviours of groups of mice or rats, we show that the system allows for bidirectional data transfer from readily available hardware, and that it can be used with programmable pharmacological or optogenetic stimulation. Scalable and modular wireless-network infrastructure should facilitate the remote operation of fully automated large-scale and long-term closed-loop experiments for the study of neural circuits and animal behaviour.
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Affiliation(s)
- Raza Qazi
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.,Department of Electrical, Computer and Energy Engineering, University of Colorado, Boulder, CO, USA
| | - Kyle E Parker
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO, USA.,Center for Clinical Pharmacology, University of Health Sciences and Pharmacy in St. Louis and Washington University School of Medicine, St. Louis, MO, USA.,Washington University Pain Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Choong Yeon Kim
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Ruediger Rill
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA
| | - Makenzie R Norris
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO, USA.,Center for Clinical Pharmacology, University of Health Sciences and Pharmacy in St. Louis and Washington University School of Medicine, St. Louis, MO, USA.,Washington University Pain Center, Washington University in St. Louis, St. Louis, MO, USA.,Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Jaeyoon Chung
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA
| | - John Bilbily
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO, USA.,Center for Clinical Pharmacology, University of Health Sciences and Pharmacy in St. Louis and Washington University School of Medicine, St. Louis, MO, USA.,Washington University Pain Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Jenny R Kim
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO, USA.,Center for Clinical Pharmacology, University of Health Sciences and Pharmacy in St. Louis and Washington University School of Medicine, St. Louis, MO, USA.,Washington University Pain Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Marie C Walicki
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO, USA.,Center for Clinical Pharmacology, University of Health Sciences and Pharmacy in St. Louis and Washington University School of Medicine, St. Louis, MO, USA.,Washington University Pain Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Graydon B Gereau
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO, USA.,Center for Clinical Pharmacology, University of Health Sciences and Pharmacy in St. Louis and Washington University School of Medicine, St. Louis, MO, USA.,Washington University Pain Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Hyoyoung Lim
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA
| | - Yanyu Xiong
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Jenna R Lee
- Interdisciplinary Neuroscience Program, University of Missouri, Columbia, MO, USA
| | - Melissa A Tapia
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | - Alexxai V Kravitz
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Matthew J Will
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | - Sangtae Ha
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA.
| | - Jordan G McCall
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA. .,Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO, USA. .,Center for Clinical Pharmacology, University of Health Sciences and Pharmacy in St. Louis and Washington University School of Medicine, St. Louis, MO, USA. .,Washington University Pain Center, Washington University in St. Louis, St. Louis, MO, USA. .,Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO, USA.
| | - Jae-Woong Jeong
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
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19
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Optical Fibre-Enabled Photoswitching for Localised Activation of an Anti-Cancer Therapeutic Drug. Int J Mol Sci 2021; 22:ijms221910844. [PMID: 34639185 PMCID: PMC8509559 DOI: 10.3390/ijms221910844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/01/2021] [Accepted: 10/03/2021] [Indexed: 11/17/2022] Open
Abstract
Local activation of an anti-cancer drug when and where needed can improve selectivity and reduce undesirable side effects. Photoswitchable drugs can be selectively switched between active and inactive states by illumination with light; however, the clinical development of these drugs has been restricted by the difficulty in delivering light deep into tissue where needed. Optical fibres have great potential for light delivery in vivo, but their use in facilitating photoswitching in anti-cancer compounds has not yet been explored. In this paper, a photoswitchable chemotherapeutic is switched using an optical fibre, and the cytotoxicity of each state is measured against HCT-116 colorectal cancer cells. The performance of optical-fibre-enabled photoswitching is characterised through its dose response. The UV–Vis spectra confirm light delivered by an optical fibre effectively enables photoswitching. The activated drug is shown to be twice as effective as the inactive drug in causing cancer cell death, characterised using an MTT assay and fluorescent microscopy. This is the first study in which a photoswitchable anti-cancer compound is switched using an optical fibre and demonstrates the feasibility of using optical fibres to activate photoswitchable drugs for potential future clinical applications.
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20
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Kang YN, Chou N, Jang JW, Choe HK, Kim S. A 3D flexible neural interface based on a microfluidic interconnection cable capable of chemical delivery. MICROSYSTEMS & NANOENGINEERING 2021; 7:66. [PMID: 34567778 PMCID: PMC8433186 DOI: 10.1038/s41378-021-00295-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 06/23/2021] [Accepted: 07/11/2021] [Indexed: 05/23/2023]
Abstract
The demand for multifunctional neural interfaces has grown due to the need to provide a better understanding of biological mechanisms related to neurological diseases and neural networks. Direct intracerebral drug injection using microfluidic neural interfaces is an effective way to deliver drugs to the brain, and it expands the utility of drugs by bypassing the blood-brain barrier (BBB). In addition, uses of implantable neural interfacing devices have been challenging due to inevitable acute and chronic tissue responses around the electrodes, pointing to a critical issue still to be overcome. Although neural interfaces comprised of a collection of microneedles in an array have been used for various applications, it has been challenging to integrate microfluidic channels with them due to their characteristic three-dimensional structures, which differ from two-dimensionally fabricated shank-type neural probes. Here we present a method to provide such three-dimensional needle-type arrays with chemical delivery functionality. We fabricated a microfluidic interconnection cable (µFIC) and integrated it with a flexible penetrating microelectrode array (FPMA) that has a 3-dimensional structure comprised of silicon microneedle electrodes supported by a flexible array base. We successfully demonstrated chemical delivery through the developed device by recording neural signals acutely from in vivo brains before and after KCl injection. This suggests the potential of the developed microfluidic neural interface to contribute to neuroscience research by providing simultaneous signal recording and chemical delivery capabilities.
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Affiliation(s)
- Yoo Na Kang
- Department of Medical Assistant Robot, Korea Institute of Machinery & Materials (KIMM), Daegu, Republic of Korea
| | - Namsun Chou
- Center for BioMicrosystems, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Jae-Won Jang
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea
| | - Han Kyoung Choe
- Department of Brain & Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea
| | - Sohee Kim
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea
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21
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Kim CY, Ku MJ, Qazi R, Nam HJ, Park JW, Nam KS, Oh S, Kang I, Jang JH, Kim WY, Kim JH, Jeong JW. Soft subdermal implant capable of wireless battery charging and programmable controls for applications in optogenetics. Nat Commun 2021; 12:535. [PMID: 33483493 PMCID: PMC7822865 DOI: 10.1038/s41467-020-20803-y] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 12/17/2020] [Indexed: 11/08/2022] Open
Abstract
Optogenetics is a powerful technique that allows target-specific spatiotemporal manipulation of neuronal activity for dissection of neural circuits and therapeutic interventions. Recent advances in wireless optogenetics technologies have enabled investigation of brain circuits in more natural conditions by releasing animals from tethered optical fibers. However, current wireless implants, which are largely based on battery-powered or battery-free designs, still limit the full potential of in vivo optogenetics in freely moving animals by requiring intermittent battery replacement or a special, bulky wireless power transfer system for continuous device operation, respectively. To address these limitations, here we present a wirelessly rechargeable, fully implantable, soft optoelectronic system that can be remotely and selectively controlled using a smartphone. Combining advantageous features of both battery-powered and battery-free designs, this device system enables seamless full implantation into animals, reliable ubiquitous operation, and intervention-free wireless charging, all of which are desired for chronic in vivo optogenetics. Successful demonstration of the unique capabilities of this device in freely behaving rats forecasts its broad and practical utilities in various neuroscience research and clinical applications.
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Affiliation(s)
- Choong Yeon Kim
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Min Jeong Ku
- Department of Physiology, Graduate School of Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Raza Qazi
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
- Department of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, CO, USA
| | - Hong Jae Nam
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Jong Woo Park
- Department of Physiology, Graduate School of Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kum Seok Nam
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Shane Oh
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Inho Kang
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Jae-Hyung Jang
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, Republic of Korea
| | - Wha Young Kim
- Department of Physiology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jeong-Hoon Kim
- Department of Physiology, Graduate School of Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Jae-Woong Jeong
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
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22
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Shin H, Jeong S, Lee JH, Sun W, Choi N, Cho IJ. 3D high-density microelectrode array with optical stimulation and drug delivery for investigating neural circuit dynamics. Nat Commun 2021; 12:492. [PMID: 33479237 PMCID: PMC7820464 DOI: 10.1038/s41467-020-20763-3] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 12/15/2020] [Indexed: 02/08/2023] Open
Abstract
Investigation of neural circuit dynamics is crucial for deciphering the functional connections among regions of the brain and understanding the mechanism of brain dysfunction. Despite the advancements of neural circuit models in vitro, technologies for both precisely monitoring and modulating neural activities within three-dimensional (3D) neural circuit models have yet to be developed. Specifically, no existing 3D microelectrode arrays (MEAs) have integrated capabilities to stimulate surrounding neurons and to monitor the temporal evolution of the formation of a neural network in real time. Herein, we present a 3D high-density multifunctional MEA with optical stimulation and drug delivery for investigating neural circuit dynamics within engineered 3D neural tissues. We demonstrate precise measurements of synaptic latencies in 3D neural networks. We expect our 3D multifunctional MEA to open up opportunities for studies of neural circuits through precise, in vitro investigations of neural circuit dynamics with 3D brain models.
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Affiliation(s)
- Hyogeun Shin
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea
| | - Sohyeon Jeong
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea
| | - Ju-Hyun Lee
- Department of Anatomy, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woong Sun
- Department of Anatomy, Korea University College of Medicine, Seoul, Republic of Korea
| | - Nakwon Choi
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea.
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, Republic of Korea.
| | - Il-Joo Cho
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea.
- School of Electrical and Electronics Engineering, Yonsei University, Seoul, Republic of Korea.
- Yonsei-KIST Convergence Research Institute, Yonsei University, Seoul, Republic of Korea.
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23
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Recent advances in neurotechnologies with broad potential for neuroscience research. Nat Neurosci 2020; 23:1522-1536. [PMID: 33199897 DOI: 10.1038/s41593-020-00739-8] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 10/09/2020] [Indexed: 12/15/2022]
Abstract
Interest in deciphering the fundamental mechanisms and processes of the human mind represents a central driving force in modern neuroscience research. Activities in support of this goal rely on advanced methodologies and engineering systems that are capable of interrogating and stimulating neural pathways, from single cells in small networks to interconnections that span the entire brain. Recent research establishes the foundations for a broad range of creative neurotechnologies that enable unique modes of operation in this context. This review focuses on those systems with proven utility in animal model studies and with levels of technical maturity that suggest a potential for broad deployment to the neuroscience community in the relatively near future. We include a brief summary of existing and emerging neuroscience techniques, as background for a primary focus on device technologies that address associated opportunities in electrical, optical and microfluidic neural interfaces, some with multimodal capabilities. Examples of the use of these technologies in recent neuroscience studies illustrate their practical value. The vibrancy of the engineering science associated with these platforms, the interdisciplinary nature of this field of research and its relevance to grand challenges in the treatment of neurological disorders motivate continued growth of this area of study.
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24
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Lee J, Parker KE, Kawakami C, Kim JR, Qazi R, Yea J, Zhang S, Kim CY, Bilbily J, Xiao J, Jang KI, McCall JG, Jeong JW. Rapidly-customizable, scalable 3D-printed wireless optogenetic probes for versatile applications in neuroscience. ADVANCED FUNCTIONAL MATERIALS 2020; 30:2004285. [PMID: 33708031 PMCID: PMC7942018 DOI: 10.1002/adfm.202004285] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Indexed: 05/21/2023]
Abstract
Optogenetics is an advanced neuroscience technique that enables the dissection of neural circuitry with high spatiotemporal precision. Recent advances in materials and microfabrication techniques have enabled minimally invasive and biocompatible optical neural probes, thereby facilitating in vivo optogenetic research. However, conventional fabrication techniques rely on cleanroom facilities, which are not easily accessible and are expensive to use, making the overall manufacturing process inconvenient and costly. Moreover, the inherent time-consuming nature of current fabrication procedures impede the rapid customization of neural probes in between in vivo studies. Here, we introduce a new technique stemming from 3D printing technology for the low-cost, mass production of rapidly customizable optogenetic neural probes. We detail the 3D printing production process, on-the-fly design versatility, and biocompatibility of 3D printed optogenetic probes as well as their functional capabilities for wireless in vivo optogenetics. Successful in vivo studies with 3D printed devices highlight the reliability of this easily accessible and flexible manufacturing approach that, with advances in printing technology, can foreshadow its widespread applications in low-cost bioelectronics in the future.
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Affiliation(s)
- Juhyun Lee
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Kyle E. Parker
- Department of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy; Center for Clinical Pharmacology, St. Louis College of Pharmacy and Washington University School of Medicine; Department of Anesthesiology, Washington University Pain Center, Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - Chinatsu Kawakami
- Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan
| | - Jenny R. Kim
- Department of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy; Center for Clinical Pharmacology, St. Louis College of Pharmacy and Washington University School of Medicine; Department of Anesthesiology, Washington University Pain Center, Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - Raza Qazi
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Junwoo Yea
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea
| | - Shun Zhang
- Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - Choong Yeon Kim
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - John Bilbily
- Department of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy; Center for Clinical Pharmacology, St. Louis College of Pharmacy and Washington University School of Medicine; Department of Anesthesiology, Washington University Pain Center, Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - Jianliang Xiao
- Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - Kyung-In Jang
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea
| | - Jordan G. McCall
- Department of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy; Center for Clinical Pharmacology, St. Louis College of Pharmacy and Washington University School of Medicine; Department of Anesthesiology, Washington University Pain Center, Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - Jae-Woong Jeong
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
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25
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Qazi R, Yeon Kim C, Kang I, Binazarov D, McCall JG, Jeong J. Implantable Optofluidic Systems for Wireless In Vivo Photopharmacology. CHEMPHOTOCHEM 2020. [DOI: 10.1002/cptc.202000217] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Raza Qazi
- School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea
- Department of Electrical, Computer and Energy Engineering University of Colorado Boulder CO USA
| | - Choong Yeon Kim
- School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea
| | - Inho Kang
- School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea
| | - Dauren Binazarov
- School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea
| | - Jordan G. McCall
- Department of Anesthesiology Washington University in St. Louis St. Louis MO USA
| | - Jae‐Woong Jeong
- School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea
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26
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Ashton MD, Appen IC, Firlak M, Stanhope NE, Schmidt CE, Eisenstadt WR, Hur B, Hardy JG. Wirelessly triggered bioactive molecule delivery from degradable electroactive polymer films. POLYM INT 2020. [DOI: 10.1002/pi.6089] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Mark D Ashton
- Department of Chemistry Lancaster University Lancaster UK
| | - Isabel C Appen
- Department of Chemistry Lancaster University Lancaster UK
| | - Melike Firlak
- Department of Chemistry Lancaster University Lancaster UK
- Department of Chemistry Gebze Technical University Kocaeli Turkey
| | | | - Christine E Schmidt
- J. Crayton Pruitt Family Department of Biomedical Engineering University of Florida, Biomedical Sciences Building JG‐53 Gainesville FL USA
| | - William R Eisenstadt
- Department of Electrical and Computer Engineering University of Florida, New Engineering Building Gainesville FL USA
| | - Byul Hur
- Department of Engineering Technology and Industrial Distribution Texas A&M University College Station TX USA
| | - John G Hardy
- Department of Chemistry Lancaster University Lancaster UK
- J. Crayton Pruitt Family Department of Biomedical Engineering University of Florida, Biomedical Sciences Building JG‐53 Gainesville FL USA
- Materials Science Institute, Lancaster University Lancaster UK
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27
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Rynes ML, Ghanbari L, Schulman DS, Linn S, Laroque M, Dominguez J, Navabi ZS, Sherman P, Kodandaramaiah SB. Assembly and operation of an open-source, computer numerical controlled (CNC) robot for performing cranial microsurgical procedures. Nat Protoc 2020; 15:1992-2023. [PMID: 32405052 DOI: 10.1038/s41596-020-0318-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 03/03/2020] [Indexed: 12/14/2022]
Abstract
Cranial microsurgery is an essential procedure for accessing the brain through the skull that can be used to introduce neural probes that measure and manipulate neural activity. Neuroscientists have typically used tools such as high-speed drills adapted from dentistry to perform these procedures. As the number of technologies available for neuroscientists has increased, the corresponding cranial microsurgery procedures to deploy them have become more complex. Using a robotic tool that automatically performs these procedures could standardize cranial microsurgeries across neuroscience laboratories and democratize the more challenging procedures. We have recently engineered a robotic surgery platform that utilizes principles of computer numerical control (CNC) machining to perform a wide variety of automated cranial procedures. Here, we describe how to adapt, configure and use an inexpensive desktop CNC mill equipped with a custom-built surface profiler for performing CNC-guided microsurgery on mice. Detailed instructions are provided to utilize this 'Craniobot' for performing circular craniotomies for coverslip implantation, large craniotomies for implanting transparent polymer skulls for cortex-wide imaging access and skull thinning for intact skull imaging. The Craniobot can be set up in <2 weeks using parts that cost <$1,500, and we anticipate that the Craniobot could be easily adapted for use in other small animals.
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Affiliation(s)
- Mathew L Rynes
- Department of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Leila Ghanbari
- Department of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Daniel Sousa Schulman
- Department of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Samantha Linn
- Department of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Michael Laroque
- Schools of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Judith Dominguez
- Department of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Zahra S Navabi
- Department of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Peter Sherman
- Department of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Suhasa B Kodandaramaiah
- Department of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA. .,Department of Mechanical Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA.
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28
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Abstract
Glutamate is the major excitatory neurotransmitter in the brain, and photochemical release of glutamate (or uncaging) is a chemical technique widely used by biologists to interrogate its physiology. A basic prerequisite of these optical probes is bio-inertness before photolysis. However, all caged glutamates are known to have strong antagonism toward receptors of γ-aminobutyric acid, the major inhibitory transmitter. We have developed a caged glutamate probe that is inert toward these receptors at concentrations that are effective for photolysis with violet light. Pharmacological tests in vitro revealed that attachment of a fifth-generation (G5) dendrimer (i.e., cloaking) to the widely used 4-methoxy-7-nitro-indolinyl(MNI)-Glu probe prevented such off-target effects while not changing the photochemical properties of MNI-Glu significantly. G5-MNI-Glu was used with optofluidic delivery to stimulate dopamine neurons of the ventral tegmental area of freely moving mice in a conditioned place-preference protocol so as to mediate Pavlovian conditioning.
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29
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Byun SH, Sim JY, Zhou Z, Lee J, Qazi R, Walicki MC, Parker KE, Haney MP, Choi SH, Shon A, Gereau GB, Bilbily J, Li S, Liu Y, Yeo WH, McCall JG, Xiao J, Jeong JW. Mechanically transformative electronics, sensors, and implantable devices. SCIENCE ADVANCES 2019; 5:eaay0418. [PMID: 31701008 PMCID: PMC6824851 DOI: 10.1126/sciadv.aay0418] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 09/14/2019] [Indexed: 05/14/2023]
Abstract
Traditionally, electronics have been designed with static form factors to serve designated purposes. This approach has been an optimal direction for maintaining the overall device performance and reliability for targeted applications. However, electronics capable of changing their shape, flexibility, and stretchability will enable versatile and accommodating systems for more diverse applications. Here, we report design concepts, materials, physics, and manufacturing strategies that enable these reconfigurable electronic systems based on temperature-triggered tuning of mechanical characteristics of device platforms. We applied this technology to create personal electronics with variable stiffness and stretchability, a pressure sensor with tunable bandwidth and sensitivity, and a neural probe that softens upon integration with brain tissue. Together, these types of transformative electronics will substantially broaden the use of electronics for wearable and implantable applications.
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Affiliation(s)
- Sang-Hyuk Byun
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Joo Yong Sim
- Welfare & Medical ICT Research Department, Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea
| | - Zhanan Zhou
- Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Juhyun Lee
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Raza Qazi
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
- Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Marie C. Walicki
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Department of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy, St. Louis, MO 63110, USA
- Center for Clinical Pharmacology, St. Louis College of Pharmacy and Washington University School of Medicine, St. Louis, MO 63110, USA
- Washington University Pain Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Kyle E. Parker
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Department of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy, St. Louis, MO 63110, USA
- Center for Clinical Pharmacology, St. Louis College of Pharmacy and Washington University School of Medicine, St. Louis, MO 63110, USA
- Washington University Pain Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Matthew P. Haney
- Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Su Hwan Choi
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Ahnsei Shon
- Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Graydon B. Gereau
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Department of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy, St. Louis, MO 63110, USA
- Center for Clinical Pharmacology, St. Louis College of Pharmacy and Washington University School of Medicine, St. Louis, MO 63110, USA
- Washington University Pain Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - John Bilbily
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Department of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy, St. Louis, MO 63110, USA
- Center for Clinical Pharmacology, St. Louis College of Pharmacy and Washington University School of Medicine, St. Louis, MO 63110, USA
- Washington University Pain Center, Washington University in St. Louis, St. Louis, MO 63110, USA
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Shuo Li
- Department of Materials Science and Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Yuhao Liu
- Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Woon-Hong Yeo
- George W. Woodruff School of Mechanical Engineering and Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Jordan G. McCall
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Department of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy, St. Louis, MO 63110, USA
- Center for Clinical Pharmacology, St. Louis College of Pharmacy and Washington University School of Medicine, St. Louis, MO 63110, USA
- Washington University Pain Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Jianliang Xiao
- Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Jae-Woong Jeong
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
- Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
- Corresponding author.
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30
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Qazi R, Gomez AM, Castro DC, Zou Z, Sim JY, Xiong Y, Abdo J, Kim CY, Anderson A, Lohner F, Byun SH, Chul Lee B, Jang KI, Xiao J, Bruchas MR, Jeong JW. Wireless optofluidic brain probes for chronic neuropharmacology and photostimulation. Nat Biomed Eng 2019; 3:655-669. [DOI: 10.1038/s41551-019-0432-1] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 06/21/2019] [Indexed: 12/11/2022]
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Muir J, Lopez J, Bagot RC. Wiring the depressed brain: optogenetic and chemogenetic circuit interrogation in animal models of depression. Neuropsychopharmacology 2019; 44:1013-1026. [PMID: 30555161 PMCID: PMC6461994 DOI: 10.1038/s41386-018-0291-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 11/26/2018] [Indexed: 12/19/2022]
Abstract
The advent of optogenetics and chemogenetics has revolutionized the study of neural circuit mechanisms of behavioral dysregulation in psychiatric disease. These powerful technologies allow manipulation of specific neurons to determine causal relationships between neuronal activity and behavior. Optogenetic tools have been key to mapping the circuitry underlying depression-like behavior in animal models, clarifying the contribution of the ventral tegmental area, nucleus accumbens, medial prefrontal cortex, ventral hippocampus, and other limbic areas, to stress susceptibility. In comparison, chemogenetics have been relatively underutilized, despite offering unique advantages for probing long-term effects of manipulating neuronal activity. The ongoing development of optogenetic tools to probe in vivo function of ever-more specific circuits, combined with greater integration of chemogenetic tools and recent advances in vivo imaging techniques will continue to advance our understanding of the circuit mechanisms of depression.
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Affiliation(s)
- Jessie Muir
- 0000 0004 1936 8649grid.14709.3bIntegrated Program in Neuroscience, McGill University, Montréal, QC Canada
| | - Joëlle Lopez
- 0000 0004 1936 8649grid.14709.3bDepartment of Psychology, McGill University, Montréal, QC Canada
| | - Rosemary C. Bagot
- 0000 0004 1936 8649grid.14709.3bDepartment of Psychology, McGill University, Montréal, QC Canada ,Ludmer Center for Neuroinformatics and Mental Health, Montréal, QC Canada
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Emara MS, Pisanello M, Sileo L, De Vittorio M, Pisanello F. A Wireless Head-mountable Device with Tapered Optical Fiber-coupled Laser Diode for Light Delivery in Deep Brain Regions. IEEE Trans Biomed Eng 2018; 66:1996-2009. [PMID: 30452350 DOI: 10.1109/tbme.2018.2882146] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Optogenetics sets new experimental paradigms that can reveal cell type-specific contributions on the neural basis of behavior. Since most of the available systems for this purpose are based on approaches that tether animals to a set of cables, recent research activities have been focused on minimizing external factors that can alter animal movements. Current wireless optogenetic systems are based on waveguide-coupled LED and implanted LEDs. However, each configuration separately suffers from significant limitations, such as low coupling efficiency, penetration depth and invasiveness of waveguide-coupled LED, and local heat generated by implanted μLEDs. This work presents a novel wireless head-mountable stimulating system for a wide-volume light delivery. The device couples the output of a semiconductor laser diode (LD) to a tapered optical fiber (TF) on a wireless platform. The LD-TF coupling was engineered by setting up far-field analysis, which allows the full exploitation of the mode division demultiplexing properties of TFs. The output delivered light along the tapered segment is capable of stimulating structures of depths up to ~2mm. TFs are tapered to a gradual taper angle (2° to 10°) that ends with a sharp tip (~500 nm) for smooth insertion and less invasiveness. Thus, the proposed system extends the capabilities of wireless optogenetic by offering a novel solution for wide volume light delivery in deep brain regions.
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Kouhani MHM, Luo R, Madi F, Weber AJ, Li W. A wireless, smartphone controlled, battery powered, head mounted light delivery system for optogenetic stimulation. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2018; 2018:3366-3369. [PMID: 30441109 DOI: 10.1109/embc.2018.8512936] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
This paper reports the design, fabrication and characterization of a head-mounted, flexible, and ultralight optogenetic system that enables wireless delivery of light into the brains of awake and freely behaving animals. The project is focused on miniaturized design, light weight (2.7g), small volume, low cost (< 25 USD) and simple fabrication. The chip, the substrate material, the battery, and the micro light emitting diode (μLED) are commercially available. The device implementation consists of one step photolithography, soldering, and packaging along with Arduino programming. In vivo study is carried out where the battery-powered μLED stimulates the visual cortex of a rat with parameters that can be controlled wirelessly via a smart-phone user interface application. The efficacy of optical stimulation is validated using c-Fos as a report of light-evoked neuronal activity.
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Abstract
Bioelectronic microdevices are an emerging class of biomedical devices miniaturized at the scale of a millimeter or less, which promise new capabilities for monitoring and treating human disease. Although rapid progress has been made in the sensing and actuation capabilities of microdevices, a major technological challenge remains in the way that these devices are powered within the body. In this review, we revisit the power requirements of microdevices, describe current methods for storing, transferring or harvesting energy in microdevices, provide an overview of emerging powering approaches and discuss the promise of microdevices in biomedicine.
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Affiliation(s)
- Pui Mun Lee
- Department of Electrical & Computer Engineering, National University of Singapore, 117456, Singapore
| | - Ze Xiong
- Department of Electrical & Computer Engineering, National University of Singapore, 117456, Singapore
| | - John Ho
- Department of Electrical & Computer Engineering, National University of Singapore, 117456, Singapore
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Qazi R, Kim CY, Byun SH, Jeong JW. Microscale Inorganic LED Based Wireless Neural Systems for Chronic in vivo Optogenetics. Front Neurosci 2018; 12:764. [PMID: 30405343 PMCID: PMC6205995 DOI: 10.3389/fnins.2018.00764] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 10/03/2018] [Indexed: 11/13/2022] Open
Abstract
Billions of neurons in the brain coordinate together to control trillions of highly convoluted synaptic pathways for neural signal processing. Optogenetics is an emerging technique that can dissect such complex neural circuitry with high spatiotemporal precision using light. However, conventional approaches relying on rigid and tethered optical probes cause significant tissue damage as well as disturbance with natural behavior of animals, thus preventing chronic in vivo optogenetics. A microscale inorganic LED (μ-ILED) is an enabling optical component that can solve these problems by facilitating direct discrete spatial targeting of neural tissue, integration with soft, ultrathin probes as well as low power wireless operation. Here we review recent state-of-the art μ-ILED integrated soft wireless optogenetic tools suitable for use in freely moving animals and discuss opportunities for future developments.
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Affiliation(s)
- Raza Qazi
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.,Department of Electrical, Computer & Energy Engineering, University of Colorado Boulder, Boulder, CO, United States
| | - Choong Yeon Kim
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
| | - Sang-Hyuk Byun
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
| | - Jae-Woong Jeong
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
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36
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Affiliation(s)
- Katharina Hüll
- Department of Chemistry, New York University, 100 Washington Square East, New York, New York 10003-6699, United States
| | - Johannes Morstein
- Department of Chemistry, New York University, 100 Washington Square East, New York, New York 10003-6699, United States
| | - Dirk Trauner
- Department of Chemistry, New York University, 100 Washington Square East, New York, New York 10003-6699, United States
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37
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Roper DK, Berry KR, Dunklin JR, Chambers C, Bejugam V, Forcherio GT, Lanier M. Effects of geometry and composition of soft polymer films embedded with nanoparticles on rates for optothermal heat dissipation. NANOSCALE 2018; 10:11531-11543. [PMID: 29892737 DOI: 10.1039/c8nr00977e] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Embedding soft matter with nanoparticles (NPs) can provide electromagnetic tunability at sub-micron scales for a growing number of applications in healthcare, sustainable energy, and chemical processing. However, the use of NP-embedded soft material in temperature-sensitive applications has been constrained by difficulties in validating the prediction of rates for energy dissipation from thermally insulating to conducting behavior. This work improved the embedment of monodisperse NPs to stably decrease the inter-NP spacings in polydimethylsiloxane (PDMS) to nano-scale distances. Lumped-parameter and finite element analyses were refined to apportion the effects of the structure and composition of the NP-embedded soft polymer on the rates for conductive, convective, and radiative heat dissipation. These advances allowed for the rational selection of PDMS size and NP composition to optimize measured rates of internal (conductive) and external (convective and radiative) heat dissipation. Stably reducing the distance between monodisperse NPs to nano-scale intervals increased the overall heat dissipation rate by up to 29%. Refined fabrication of NP-embedded polymer enabled the tunability of the dynamic thermal response (the ratio of internal to external dissipation rate) by a factor of 3.1 to achieve a value of 0.091, the largest reported to date. Heat dissipation rates simulated a priori were consistent with 130 μm resolution thermal images across 2- to 15-fold changes in the geometry and composition of NP-PDMS. The Nusselt number was observed to increase with the fourth root of the Rayleigh number across thermally insulative and conductive regimes, further validating the approach. These developments support the model-informed design of soft media embedded with nano-scale-spaced NPs to optimize the heat dissipation rates for evolving temperature-sensitive diagnostic and therapeutic modalities, as well as emerging uses in flexible bioelectronics, cell and tissue culture, and solar-thermal heating.
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Affiliation(s)
- D Keith Roper
- Ralph E. Martin Department of Chemical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
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38
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Lee HJ, Choi N, Yoon ES, Cho IJ. MEMS devices for drug delivery. Adv Drug Deliv Rev 2018; 128:132-147. [PMID: 29117510 DOI: 10.1016/j.addr.2017.11.003] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2017] [Revised: 09/06/2017] [Accepted: 11/02/2017] [Indexed: 01/27/2023]
Abstract
Novel drug delivery systems based on microtechnology have advanced tremendously, but yet face some technological and societal hurdles to fully achieve their potential. The novel drug delivery systems aim to deliver drugs in a spatiotemporal- and dosage-controlled manner with a goal to address the unmet medical needs from oral delivery and hypodermic injection. The unmet needs include effective delivery of new types of drug candidates that are otherwise insoluble and unstable, targeted delivery to areas protected by barriers (e.g. brain and posterior eye segment), localized delivery of potent drugs, and improved patient compliance. After scrutinizing the design considerations and challenges associated with delivery to areas that cannot be efficiently targeted through standard drug delivery (e.g. brain, posterior eye segment, and gastrointestinal tract), this review provides a summary of recent advances that addressed these challenges and summarizes yet unresolved problems in each target area. The opportunities for innovation in devising the novel drug delivery systems are still high; with integration of advanced microtechnology, advanced fabrication of biomaterials, and biotechnology, the novel drug delivery is poised to be a promising alternative to the oral administration and hypodermic injection for a large spectrum of drug candidates.
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Affiliation(s)
- Hyunjoo J Lee
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Nakwon Choi
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology (Biomedical Engineering), KIST School, Korea University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Eui-Sung Yoon
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
| | - Il-Joo Cho
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Division of Bio-Medical Science & Technology (Biomedical Engineering), KIST School, Korea University of Science and Technology (UST), Daejeon 34113, Republic of Korea.
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39
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Noh KN, Park SI, Qazi R, Zou Z, Mickle AD, Grajales-Reyes JG, Jang KI, Gereau RW, Xiao J, Rogers JA, Jeong JW. Miniaturized, Battery-Free Optofluidic Systems with Potential for Wireless Pharmacology and Optogenetics. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2018; 14:10.1002/smll.201702479. [PMID: 29215787 PMCID: PMC5912318 DOI: 10.1002/smll.201702479] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 09/21/2017] [Indexed: 05/20/2023]
Abstract
Combination of optogenetics and pharmacology represents a unique approach to dissect neural circuitry with high specificity and versatility. However, conventional tools available to perform these experiments, such as optical fibers and metal cannula, are limited due to their tethered operation and lack of biomechanical compatibility. To address these issues, a miniaturized, battery-free, soft optofluidic system that can provide wireless drug delivery and optical stimulation for spatiotemporal control of the targeted neural circuit in freely behaving animals is reported. The device integrates microscale inorganic light-emitting diodes and microfluidic drug delivery systems with a tiny stretchable multichannel radiofrequency antenna, which not only eliminates the need for bulky batteries but also offers fully wireless, independent control of light and fluid delivery. This design enables a miniature (125 mm3 ), lightweight (220 mg), soft, and flexible platform, thus facilitating seamless implantation and operation in the body without causing disturbance of naturalistic behavior. The proof-of-principle experiments and analytical studies validate the feasibility and reliability of the fully implantable optofluidic systems for use in freely moving animals, demonstrating its potential for wireless in vivo pharmacology and optogenetics.
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Affiliation(s)
- Kyung Nim Noh
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Sung Il Park
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, 77843, USA
- Center for Remote Health Science Technologies, Texas A&M University, College Station, TX, 77843, USA
| | - Raza Qazi
- Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA
| | - Zhanan Zou
- Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA
| | - Aaron D Mickle
- Department of Anesthesiology, Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, 63130, USA
| | - Jose G Grajales-Reyes
- Department of Anesthesiology, Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, 63130, USA
| | - Kyung-In Jang
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, 42988, Republic of Korea
| | - Robert W Gereau
- Department of Anesthesiology, Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Neuroscience, Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, 63130, USA
| | - Jianliang Xiao
- Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA
| | - John A Rogers
- Department of Materials Science and Engineering, Biomedical Engineering, Neurological Surgery, Chemistry, Mechanical Engineering, Electrical and Computer Science, Northwestern University, Evanston, IL, 60208, USA
- Center for Bio-Integrated Electronics, Simpson Querrey Institute for BioNanotechnology, Northwestern University, Evanston, IL, 60208, USA
| | - Jae-Woong Jeong
- Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA
- School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
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40
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Delbeke J, Hoffman L, Mols K, Braeken D, Prodanov D. And Then There Was Light: Perspectives of Optogenetics for Deep Brain Stimulation and Neuromodulation. Front Neurosci 2017; 11:663. [PMID: 29311765 PMCID: PMC5732983 DOI: 10.3389/fnins.2017.00663] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 11/14/2017] [Indexed: 12/12/2022] Open
Abstract
Deep Brain Stimulation (DBS) has evolved into a well-accepted add-on treatment for patients with severe Parkinsons disease as well as for other chronic neurological conditions. The focal action of electrical stimulation can yield better responses and it exposes the patient to fewer side effects compared to pharmaceuticals distributed throughout the body toward the brain. On the other hand, the current practice of DBS is hampered by the relatively coarse level of neuromodulation achieved. Optogenetics, in contrast, offers the perspective of much more selective actions on the various physiological structures, provided that the stimulated cells are rendered sensitive to the action of light. Optogenetics has experienced tremendous progress since its first in vivo applications about 10 years ago. Recent advancements of viral vector technology for gene transfer substantially reduce vector-associated cytotoxicity and immune responses. This brings about the possibility to transfer this technology into the clinic as a possible alternative to DBS and neuromodulation. New paths could be opened toward a rich panel of clinical applications. Some technical issues still limit the long term use in humans but realistic perspectives quickly emerge. Despite a rapid accumulation of observations about patho-physiological mechanisms, it is still mostly serendipity and empiric adjustments that dictate clinical practice while more efficient logically designed interventions remain rather exceptional. Interestingly, it is also very much the neuro technology developed around optogenetics that offers the most promising tools to fill in the existing knowledge gaps about brain function in health and disease. The present review examines Parkinson's disease and refractory epilepsy as use cases for possible optogenetic stimulation therapies.
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Affiliation(s)
- Jean Delbeke
- LCEN3, Department of Neurology, Institute of Neuroscience, Ghent University, Ghent, Belgium
| | | | - Katrien Mols
- Neuroscience Research Flanders, Leuven, Belgium.,Life Science and Imaging, Imec, Leuven, Belgium
| | | | - Dimiter Prodanov
- Neuroscience Research Flanders, Leuven, Belgium.,Environment, Health and Safety, Imec, Leuven, Belgium
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41
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Dagnew R, Lin YY, Agatep J, Cheng M, Jann A, Quach V, Monroe M, Singh G, Minasyan A, Hakimian J, Kee T, Cushman J, Walwyn W. CerebraLux: a low-cost, open-source, wireless probe for optogenetic stimulation. NEUROPHOTONICS 2017; 4:045001. [PMID: 29057282 PMCID: PMC5635269 DOI: 10.1117/1.nph.4.4.045001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 08/30/2017] [Indexed: 06/07/2023]
Abstract
The use of optogenetics to activate or inhibit neurons is an important toolbox for neuroscientists. Several optogenetic devices are in use. These range from wired systems where the optoprobe is physically connected to the light source by a tether, to wireless systems that are remotely controlled. There are advantages and disadvantages of both; the wired systems are lightweight but limit movement due to the tether, and wireless systems allow unrestricted movement but may be heavier than wired systems. Both systems can be expensive to install and use. We have developed a low cost, wireless optogenetic probe, CerebraLux, built from off-the-shelf components. CerebraLux consists of two separable units; an optical component consisting of the baseplate holding the fiber-optic in place and an electronic component consisting of a light-emitting diode, custom-printed circuit board, an infrared receiver, microcontroller, and a rechargeable, lightweight lithium polymer battery. The optical component (0.5 g) is mounted on the head permanently, whereas the electronic component (2.3 g) is removable and is applied for each experiment. We describe the device, provide all designs and specifications, the methods to manufacture and use the device in vivo, and demonstrate feasibility in a mouse behavioral paradigm.
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Affiliation(s)
- Robel Dagnew
- University of California, Department of Bioengineering, Los Angeles, California, United States
| | - Yin-Ying Lin
- University of California, Department of Bioengineering, Los Angeles, California, United States
| | - Jerikko Agatep
- University of California, Department of Bioengineering, Los Angeles, California, United States
| | - Michael Cheng
- University of California, Department of Bioengineering, Los Angeles, California, United States
| | - Andrew Jann
- University of California, Department of Bioengineering, Los Angeles, California, United States
| | - Viola Quach
- University of California, Department of Bioengineering, Los Angeles, California, United States
| | - Michelle Monroe
- University of California, Department of Bioengineering, Los Angeles, California, United States
| | - Ganeev Singh
- University of California, David Geffen School of Medicine, Department of Psychiatry and Biobehavioral Sciences, Los Angeles, California, United States
| | - Ani Minasyan
- University of California, David Geffen School of Medicine, Department of Psychiatry and Biobehavioral Sciences, Los Angeles, California, United States
| | - Joshua Hakimian
- University of California, David Geffen School of Medicine, Department of Psychiatry and Biobehavioral Sciences, Los Angeles, California, United States
| | - Theodore Kee
- University of California, Department of Bioengineering, Los Angeles, California, United States
| | - Jesse Cushman
- University of California, Department of Psychology, Los Angeles, California, United States
| | - Wendy Walwyn
- University of California, David Geffen School of Medicine, Department of Psychiatry and Biobehavioral Sciences, Los Angeles, California, United States
- University of California, Brain Research Institute, Los Angeles, California, United States
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42
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Tang LJ, Wang MH, Tian HC, Kang XY, Hong W, Liu JQ. Progress in Research of Flexible MEMS Microelectrodes for Neural Interface. MICROMACHINES 2017; 8:E281. [PMID: 30400473 PMCID: PMC6190450 DOI: 10.3390/mi8090281] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 06/20/2017] [Accepted: 06/29/2017] [Indexed: 12/29/2022]
Abstract
With the rapid development of Micro-electro-mechanical Systems (MEMS) fabrication technologies, many microelectrodes with various structures and functions have been designed and fabricated for applications in biomedical research, diagnosis and treatment through electrical stimulation and electrophysiological signal recording. The flexible MEMS microelectrodes exhibit excellent characteristics in many aspects beyond stiff microelectrodes based on silicon or metal, including: lighter weight, smaller volume, better conforming to neural tissue and lower fabrication cost. In this paper, we reviewed the key technologies in flexible MEMS microelectrodes for neural interface in recent years, including: design and fabrication technology, flexible MEMS microelectrodes with fluidic channels and electrode⁻tissue interface modification technology for performance improvement. Furthermore, the future directions of flexible MEMS microelectrodes for neural interface were described, including transparent and stretchable microelectrodes integrated with multi-functional aspects and next-generation electrode⁻tissue interface modifications, which facilitated electrode efficacy and safety during implantation. Finally, we predict that the relationships between micro fabrication techniques, and biomedical engineering and nanotechnology represented by flexible MEMS microelectrodes for neural interface, will open a new gate to better understanding the neural system and brain diseases.
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Affiliation(s)
- Long-Jun Tang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Shanghai Jiao Tong University, Shanghai 200240, China.
- Key Laboratory for Thin Film and Micro fabrication of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China.
- Collaborative Innovation Center of IFSA, Department of Micro/Nano-Electronics, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Ming-Hao Wang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Shanghai Jiao Tong University, Shanghai 200240, China.
- Key Laboratory for Thin Film and Micro fabrication of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China.
- Collaborative Innovation Center of IFSA, Department of Micro/Nano-Electronics, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Hong-Chang Tian
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Shanghai Jiao Tong University, Shanghai 200240, China.
- Key Laboratory for Thin Film and Micro fabrication of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China.
- Collaborative Innovation Center of IFSA, Department of Micro/Nano-Electronics, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Xiao-Yang Kang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Shanghai Jiao Tong University, Shanghai 200240, China.
- Key Laboratory for Thin Film and Micro fabrication of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China.
- Collaborative Innovation Center of IFSA, Department of Micro/Nano-Electronics, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Wen Hong
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Shanghai Jiao Tong University, Shanghai 200240, China.
- Key Laboratory for Thin Film and Micro fabrication of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China.
- Collaborative Innovation Center of IFSA, Department of Micro/Nano-Electronics, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Jing-Quan Liu
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Shanghai Jiao Tong University, Shanghai 200240, China.
- Key Laboratory for Thin Film and Micro fabrication of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China.
- Collaborative Innovation Center of IFSA, Department of Micro/Nano-Electronics, Shanghai Jiao Tong University, Shanghai 200240, China.
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43
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Minimally invasive probes for programmed microfluidic delivery of molecules in vivo. Curr Opin Pharmacol 2017; 36:78-85. [PMID: 28892801 DOI: 10.1016/j.coph.2017.08.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2017] [Revised: 08/19/2017] [Accepted: 08/21/2017] [Indexed: 01/06/2023]
Abstract
Site-specific drug delivery carries many advantages of systemic administration, but is rarely used in the clinic. One limiting factor is the relative invasiveness of the technology to locally deliver compounds. Recent advances in materials science and electrical engineering allow for the development of ultraminiaturized microfluidic channels based on soft materials to create flexible probes capable of deep tissue targeting. A diverse set of mechanics, including micro-pumps and functional materials, used to deliver the drugs can be paired with wireless electronics for self-contained and programmable operation. These first iterations of minimally invasive fluid delivery devices foreshadow important advances needed for clinical translation.
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44
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Sim JY, Haney MP, Park SI, McCall JG, Jeong JW. Microfluidic neural probes: in vivo tools for advancing neuroscience. LAB ON A CHIP 2017; 17:1406-1435. [PMID: 28349140 DOI: 10.1039/c7lc00103g] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Microfluidic neural probes hold immense potential as in vivo tools for dissecting neural circuit function in complex nervous systems. Miniaturization, integration, and automation of drug delivery tools open up new opportunities for minimally invasive implants. These developments provide unprecedented spatiotemporal resolution in fluid delivery as well as multifunctional interrogation of neural activity using combined electrical and optical modalities. Capitalizing on these unique features, microfluidic technology will greatly advance in vivo pharmacology, electrophysiology, optogenetics, and optopharmacology. In this review, we discuss recent advances in microfluidic neural probe systems. In particular, we will highlight the materials and manufacturing processes of microfluidic probes, device configurations, peripheral devices for fluid handling and packaging, and wireless technologies that can be integrated for the control of these microfluidic probe systems. This article summarizes various microfluidic implants and discusses grand challenges and future directions for further developments.
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Affiliation(s)
- Joo Yong Sim
- Electronics and Telecommunications Research Institute, Bio-Medical IT Convergence Research Department, Daejeon, 34129, Republic of Korea
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