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Efimov AI, Hibberd TJ, Wang Y, Wu M, Zhang K, Ting K, Madhvapathy S, Lee MK, Kim J, Kang J, Riahi M, Zhang H, Travis L, Govier EJ, Yang L, Kelly N, Huang Y, Vázquez-Guardado A, Spencer NJ, Rogers JA. Remote optogenetic control of the enteric nervous system and brain-gut axis in freely-behaving mice enabled by a wireless, battery-free optoelectronic device. Biosens Bioelectron 2024; 258:116298. [PMID: 38701537 DOI: 10.1016/j.bios.2024.116298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/03/2024] [Accepted: 04/14/2024] [Indexed: 05/05/2024]
Abstract
Wireless activation of the enteric nervous system (ENS) in freely moving animals with implantable optogenetic devices offers a unique and exciting opportunity to selectively control gastrointestinal (GI) transit in vivo, including the gut-brain axis. Programmed delivery of light to targeted locations in the GI-tract, however, poses many challenges not encountered within the central nervous system (CNS). We report here the development of a fully implantable, battery-free wireless device specifically designed for optogenetic control of the GI-tract, capable of generating sufficient light over large areas to robustly activate the ENS, potently inducing colonic motility ex vivo and increased propulsion in vivo. Use in in vivo studies reveals unique stimulation patterns that increase expulsion of colonic content, likely mediated in part by activation of an extrinsic brain-gut motor pathway, via pelvic nerves. This technology overcomes major limitations of conventional wireless optogenetic hardware designed for the CNS, providing targeted control of specific neurochemical classes of neurons in the ENS and brain-gut axis, for direct modulation of GI-transit and associated behaviours in freely moving animals.
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Affiliation(s)
- Andrew I Efimov
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Timothy J Hibberd
- College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Australia
| | - Yue Wang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Mingzheng Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Kaiqing Zhang
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, 60208, USA; State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116024, Liaoning, China
| | - Kaila Ting
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Neurobiology, Northwestern University, Evanston, IL, 60208, USA
| | - Surabhi Madhvapathy
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Min-Kyu Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Joohee Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Center for Bionics of Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - Jiheon Kang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Mohammad Riahi
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA
| | - Haohui Zhang
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Lee Travis
- College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Australia
| | - Emily J Govier
- College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Australia
| | - Lianye Yang
- Department of Biomedical Engineering, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Nigel Kelly
- Department of Biomedical Engineering, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Civil and Environmental 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
| | - Abraham Vázquez-Guardado
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA; Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, NC, 27606, USA.
| | - Nick J Spencer
- College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Australia.
| | - 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; Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA; Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, 60208, USA.
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2
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Zhang Q, Li T, Xu M, Islam B, Wang J. Application of Optogenetics in Neurodegenerative Diseases. Cell Mol Neurobiol 2024; 44:57. [PMID: 39060759 PMCID: PMC11281982 DOI: 10.1007/s10571-024-01486-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 06/15/2024] [Indexed: 07/28/2024]
Abstract
Optogenetics, a revolutionary technique integrating optical and genetic methodologies, offers unparalleled precision in spatial targeting and temporal resolution for cellular control. This approach enables the selective manipulation of specific neuronal populations, inducing subtle electrical changes that significantly impact complex neural circuitry. As optogenetics precisely targets and modulates neuronal activity, it holds the potential for significant breakthroughs in understanding and potentially altering the course of neurodegenerative diseases, characterized by selective neuronal loss leading to functional deficits within the nervous system. The integration of optogenetics into neurodegenerative disease research has significantly advanced in the field, offering new insights and paving the way for innovative treatment strategies. Its application in clinical settings, although still in the nascent stages, suggests a promising future for addressing some of the most challenging aspects of neurodegenerative disorders. In this review, we provide a comprehensive overview of these research undertakings.
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Affiliation(s)
- Qian Zhang
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Tianjiao Li
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Mengying Xu
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Binish Islam
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China
| | - Jianwu Wang
- Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China.
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3
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Doi Y, Asaka M, Born RT, Yanagihara D, Uchida N. A novel behavioral paradigm using mice to study predictive postural control. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.01.601478. [PMID: 39005260 PMCID: PMC11244922 DOI: 10.1101/2024.07.01.601478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Postural control circuitry performs the essential function of maintaining balance and body position in response to perturbations that are either self-generated (e.g. reaching to pick up an object) or externally delivered (e.g. being pushed by another person). Human studies have shown that anticipation of predictable postural disturbances can modulate such responses. This indicates that postural control could involve higher-level neural structures associated with predictive functions, rather than being purely reactive. However, the underlying neural circuitry remains largely unknown. To enable studies of predictive postural control circuits, we developed a novel task for mice. In this task, modeled after human studies, a dynamic platform generated reproducible translational perturbations. While mice stood bipedally atop a perch to receive water rewards, they experienced backward translations that were either unpredictable or preceded by an auditory cue. To validate the task, we investigated the effect of the auditory cue on postural responses to perturbations across multiple days in three mice. These preliminary results serve to validate a new postural control model, opening the door to the types of neural recordings and circuit manipulations that are currently possible only in mice.
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Affiliation(s)
- Yurika Doi
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
- Program in Neuroscience, Harvard Medical School, Boston, MA, USA
| | - Meiko Asaka
- Cognition and Behavior Joint Research Laboratory, RIKEN center for Brain Science, Wako, Japan
| | - Richard T. Born
- Program in Neuroscience, Harvard Medical School, Boston, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Dai Yanagihara
- Cognition and Behavior Joint Research Laboratory, RIKEN center for Brain Science, Wako, Japan
- Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - Naoshige Uchida
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
- Center for Brain Science, Harvard University, Cambridge, MA, USA
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4
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Mishra I, Feng B, Basu B, Brown AM, Kim LH, Lin T, Raza MA, Moore A, Hahn A, Bailey S, Sharp A, Bournat JC, Poulton C, Kim B, Langsner A, Sathyanesan A, Sillitoe RV, He Y, Chopra AR. The cerebellum modulates thirst. Nat Neurosci 2024:10.1038/s41593-024-01700-9. [PMID: 38987435 DOI: 10.1038/s41593-024-01700-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 06/07/2024] [Indexed: 07/12/2024]
Abstract
The cerebellum, a phylogenetically ancient brain region, has long been considered strictly a motor control structure. Recent studies have implicated the cerebellum in cognition, sensation, emotion and autonomic function, making it an important target for further investigation. Here, we show that cerebellar Purkinje neurons in mice are activated by the hormone asprosin, leading to enhanced thirst, and that optogenetic or chemogenetic activation of Purkinje neurons induces rapid manifestation of water drinking. Purkinje neuron-specific asprosin receptor (Ptprd) deletion results in reduced water intake without affecting food intake and abolishes asprosin's dipsogenic effect. Purkinje neuron-mediated motor learning and coordination were unaffected by these manipulations, indicating independent control of two divergent functions by Purkinje neurons. Our results show that the cerebellum is a thirst-modulating brain area and that asprosin-Ptprd signaling may be a potential therapeutic target for the management of thirst disorders.
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Affiliation(s)
- Ila Mishra
- Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Bing Feng
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Bijoya Basu
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Amanda M Brown
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
| | - Linda H Kim
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
| | - Tao Lin
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
| | - Mir Abbas Raza
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Amelia Moore
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Abigayle Hahn
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Samantha Bailey
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Alaina Sharp
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
| | - Juan C Bournat
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Claire Poulton
- Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Brian Kim
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Amos Langsner
- Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Aaron Sathyanesan
- Department of Biology, College of Arts & Sciences, University of Dayton, Dayton, OH, USA
- Department of Electrical & Computer Engineering, School of Engineering, University of Dayton, Dayton, OH, USA
| | - Roy V Sillitoe
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Development, Disease Models & Therapeutics Graduate Program, Baylor College of Medicine, Houston, TX, USA
| | - Yanlin He
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
| | - Atul R Chopra
- Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA.
- Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
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5
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Choi SH, Shin J, Park C, Lee JU, Lee J, Ambo Y, Shin W, Yu R, Kim JY, Lah JD, Shin D, Kim G, Noh K, Koh W, Lee CJ, Lee JH, Kwak M, Cheon J. In vivo magnetogenetics for cell-type-specific targeting and modulation of brain circuits. NATURE NANOTECHNOLOGY 2024:10.1038/s41565-024-01694-2. [PMID: 38956320 DOI: 10.1038/s41565-024-01694-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 05/05/2024] [Indexed: 07/04/2024]
Abstract
Neuromodulation technologies are crucial for investigating neuronal connectivity and brain function. Magnetic neuromodulation offers wireless and remote deep brain stimulations that are lacking in optogenetic- and wired-electrode-based tools. However, due to the limited understanding of working principles and poorly designed magnetic operating systems, earlier magnetic approaches have yet to be utilized. Furthermore, despite its importance in neuroscience research, cell-type-specific magnetic neuromodulation has remained elusive. Here we present a nanomaterials-based magnetogenetic toolbox, in conjunction with Cre-loxP technology, to selectively activate genetically encoded Piezo1 ion channels in targeted neuronal populations via torque generated by the nanomagnetic actuators in vitro and in vivo. We demonstrate this cell-type-targeting magnetic approach for remote and spatiotemporal precise control of deep brain neural activity in multiple behavioural models, such as bidirectional feeding control, long-term neuromodulation for weight control in obese mice and wireless modulation of social behaviours in multiple mice in the same physical space. Our study demonstrates the potential of cell-type-specific magnetogenetics as an effective and reliable research tool for life sciences, especially in wireless, long-term and freely behaving animals.
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Affiliation(s)
- Seo-Hyun Choi
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
| | - Jihye Shin
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Chanhyun Park
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
| | - Jung-Uk Lee
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
| | - Jaegyeong Lee
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
| | - Yuko Ambo
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
| | - Wookjin Shin
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
| | - Ri Yu
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
| | - Ju-Young Kim
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Jungsu David Lah
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Donghun Shin
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Gooreum Kim
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Department of Chemistry, Yonsei University, Seoul, Republic of Korea
| | - Kunwoo Noh
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea
| | - Wuhyun Koh
- IBS School, University of Science and Technology (UST), Daejeon, Republic of Korea
- Center for Cognition and Sociality, Life Science Cluster, Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - C Justin Lee
- IBS School, University of Science and Technology (UST), Daejeon, Republic of Korea
- Center for Cognition and Sociality, Life Science Cluster, Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - Jae-Hyun Lee
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea.
- Department of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea.
| | - Minsuk Kwak
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea.
- Department of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea.
| | - Jinwoo Cheon
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea.
- Department of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea.
- Department of Chemistry, Yonsei University, Seoul, Republic of Korea.
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6
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Ouyang W, Kilner KJ, Xavier RMP, Liu Y, Lu Y, Feller SM, Pitts KM, Wu M, Ausra J, Jones I, Wu Y, Luan H, Trueb J, Higbee-Dempsey EM, Stepien I, Ghoreishi-Haack N, Haney CR, Li H, Kozorovitskiy Y, Heshmati M, Banks AR, Golden SA, Good CH, Rogers JA. An implantable device for wireless monitoring of diverse physio-behavioral characteristics in freely behaving small animals and interacting groups. Neuron 2024; 112:1764-1777.e5. [PMID: 38537641 PMCID: PMC11256974 DOI: 10.1016/j.neuron.2024.02.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 02/08/2024] [Accepted: 02/28/2024] [Indexed: 06/09/2024]
Abstract
Comprehensive, continuous quantitative monitoring of intricately orchestrated physiological processes and behavioral states in living organisms can yield essential data for elucidating the function of neural circuits under healthy and diseased conditions, for defining the effects of potential drugs and treatments, and for tracking disease progression and recovery. Here, we report a wireless, battery-free implantable device and a set of associated algorithms that enable continuous, multiparametric physio-behavioral monitoring in freely behaving small animals and interacting groups. Through advanced analytics approaches applied to mechano-acoustic signals of diverse body processes, the device yields heart rate, respiratory rate, physical activity, temperature, and behavioral states. Demonstrations in pharmacological, locomotor, and acute and social stress tests and in optogenetic studies offer unique insights into the coordination of physio-behavioral characteristics associated with healthy and perturbed states. This technology has broad utility in neuroscience, physiology, behavior, and other areas that rely on studies of freely moving, small animal models.
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Affiliation(s)
- Wei Ouyang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA; Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
| | - Keith J Kilner
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA; NeuroLux Inc., Northfield, IL 60093, USA
| | | | - Yiming Liu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Yinsheng Lu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | | | - Kayla M Pitts
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Mingzheng Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | | | - Ian Jones
- NeuroLux Inc., Northfield, IL 60093, USA
| | - Yunyun Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Haiwen Luan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Jacob Trueb
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | | | - Iwona Stepien
- Developmental Therapeutics Core, Northwestern University, Evanston, IL 60208, USA
| | | | - Chad R Haney
- Center for Advanced Molecular Imaging, Northwestern University, Evanston, IL 60208, USA
| | - Hao Li
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Evanston, IL 60208, USA; Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Evanston, IL 60208, USA
| | - Yevgenia Kozorovitskiy
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA; Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
| | - Mitra Heshmati
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA; Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), University of Washington, Seattle, WA 98195, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA
| | - Anthony R Banks
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA; NeuroLux Inc., Northfield, IL 60093, USA
| | - Sam A Golden
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA; Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), University of Washington, Seattle, WA 98195, USA.
| | - Cameron H Good
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA; NeuroLux Inc., Northfield, IL 60093, USA.
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, 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; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA; Department of Chemistry, Northwestern University, Evanston, IL 60208, USA; Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Evanston, IL 60208, USA.
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7
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Lee J, Kwak D, Lee GU, Kim CY, Kim J, Park SH, Choi JH, Lee SQ, Choe HK. Social context modulates multibrain broadband dynamics and functional brain-to-brain coupling in the group of mice. Sci Rep 2024; 14:11439. [PMID: 38769416 PMCID: PMC11106301 DOI: 10.1038/s41598-024-62070-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 05/13/2024] [Indexed: 05/22/2024] Open
Abstract
Although mice are social, multiple animals' neural activities are rarely explored. To characterise the neural activities during multi-brain interaction, we simultaneously recorded local field potentials (LFP) in the prefrontal cortex of four mice. The social context and locomotive states predominately modulated the entire LFP structure. The power of lower frequency bands-delta to alpha-were correlated with each other and anti-correlated with gamma power. The high-to-low-power ratio (HLR) provided a useful measure to understand LFP changes along the change of behavioural and locomotive states. The HLR during huddled conditions was lower than that during non-huddled conditions, dividing the social context into two. Multi-brain analyses of HLR indicated that the mice in the group displayed high cross-correlation. The mice in the group often showed unilateral precedence of HLR by Granger causality analysis, possibly comprising a hierarchical social structure. Overall, this study shows the importance of the social environment in brain dynamics and emphasises the simultaneous multi-brain recordings in social neuroscience.
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Affiliation(s)
- Jeongyoon Lee
- Brain Science Research Center, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, 42996, Republic of Korea
| | - Damhyeon Kwak
- Department of Brain Sciences, DGIST, Daegu, 42996, Republic of Korea
| | - Gwang Ung Lee
- Department of Brain Sciences, DGIST, Daegu, 42996, Republic of Korea
| | - Chan Yeong Kim
- Department of Brain Sciences, DGIST, Daegu, 42996, Republic of Korea
| | - Jihoon Kim
- Department of Brain Sciences, DGIST, Daegu, 42996, Republic of Korea
| | - Sang Hyun Park
- Department of Robotics and Mechatronics Engineering, DGIST, Daegu, 42996, Republic of Korea
| | - Jee Hyun Choi
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Sung Q Lee
- Electronics Telecommunications Research Institute (ETRI), Daejeon, 34129, Republic of Korea.
- Department of Mechanical Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA.
| | - Han Kyoung Choe
- Department of Brain Sciences, DGIST, Daegu, 42996, Republic of Korea.
- Convergence Research Advanced Centre for Olfaction, DGIST, Daegu, 42996, Republic of Korea.
- Korean Brain Research Institute (KBRI), Daegu, 41062, Republic of Korea.
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8
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Piantadosi SC, Lee MK, Wu M, Huynh H, Avila R, Pizzano C, Zamorano CA, Wu Y, Xavier R, Stanslaski M, Kang J, Thai S, Kim Y, Zhang J, Huang Y, Kozorovitskiy Y, Good CH, Banks AR, Rogers JA, Bruchas MR. An integrated microfluidic and fluorescence platform for probing in vivo neuropharmacology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.14.594203. [PMID: 38798493 PMCID: PMC11118345 DOI: 10.1101/2024.05.14.594203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Neurotechnologies and genetic tools for dissecting neural circuit functions have advanced rapidly over the past decade, although the development of complementary pharmacological method-ologies has comparatively lagged. Understanding the precise pharmacological mechanisms of neuroactive compounds is critical for advancing basic neurobiology and neuropharmacology, as well as for developing more effective treatments for neurological and neuropsychiatric disorders. However, integrating modern tools for assessing neural activity in large-scale neural networks with spatially localized drug delivery remains a major challenge. Here, we present a dual microfluidic-photometry platform that enables simultaneous intracranial drug delivery with neural dynamics monitoring in the rodent brain. The integrated platform combines a wireless, battery-free, miniaturized fluidic microsystem with optical probes, allowing for spatially and temporally specific drug delivery while recording activity-dependent fluorescence using genetically encoded calcium indicators (GECIs), neurotransmitter sensors GRAB NE and GRAB DA , and neuropeptide sensors. We demonstrate the performance this platform for investigating neuropharmacological mechanisms in vivo and characterize its efficacy in probing precise mechanistic actions of neuroactive compounds across several rapidly evolving neuroscience domains.
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9
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Yang C, Cheng Z, Li P, Tian B. Exploring Present and Future Directions in Nano-Enhanced Optoelectronic Neuromodulation. Acc Chem Res 2024; 57:1398-1410. [PMID: 38652467 DOI: 10.1021/acs.accounts.4c00086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
Electrical neuromodulation has achieved significant translational advancements, including the development of deep brain stimulators for managing neural disorders and vagus nerve stimulators for seizure treatment. Optoelectronics, in contrast to wired electrical systems, offers the leadless feature that guides multisite and high spatiotemporal neural system targeting, ensuring high specificity and precision in translational therapies known as "photoelectroceuticals". This Account provides a concise overview of developments in novel optoelectronic nanomaterials that are engineered through innovative molecular, chemical, and nanostructure designs to facilitate neural interfacing with high efficiency and minimally invasive implantation.This Account outlines the progress made both within our laboratory and across the broader scientific community, with particular attention to implications in materials innovation strategies, studying bioelectrical activation with spatiotemporal methods, and applications in regenerative medicine. In materials innovation, we highlight a nongenetic, biocompatible, and minimally invasive approach for neuromodulation that spans various length scales, from single neurons to nerve tissues using nanosized particles and monolithic membranes. Furthermore, our discussion exposes the critical unresolved questions in the field, including mechanisms of interaction at the nanobio interface, the precision of cellular or tissue targeting, and integration into existing neural networks with high spatiotemporal modulation. In addition, we present the challenges and pressing needs for long-term stability and biocompatibility, scalability for clinical applications, and the development of noninvasive monitoring and control systems.In addressing the existing challenges in the field of nanobio interfaces, particularly for neural applications, we envisage promising strategic directions that could significantly advance this burgeoning domain. This involves a deeper theoretical understanding of nanobiointerfaces, where simulations and experimental validations on how nanomaterials interact spatiotemporally with biological systems are crucial. The development of more durable materials is vital for prolonged applications in dynamic neural interfaces, and the ability to manipulate neural activity with high specificity and spatial resolution, paves the way for targeting individual neurons or specific neural circuits. Additionally, integrating these interfaces with advanced control systems, possibly leveraging artificial intelligence and machine learning algorithms and programming dynamically responsive materials designs, could significantly ease the implementation of stimulation and recording. These innovations hold the potential to introduce novel treatment modalities for a wide range of neurological and systemic disorders.
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Affiliation(s)
- Chuanwang Yang
- The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States
| | - Zhe Cheng
- Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
| | - Pengju Li
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois 60637, United States
| | - Bozhi Tian
- The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States
- Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
- The Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States
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10
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Li Y, Chen Z, Liu Y, Liu Z, Wu T, Zhang Y, Peng L, Huang X, Huang S, Lin X, Xie X, Jiang L. Ultra-low frequency magnetic energy focusing for highly effective wireless powering of deep-tissue implantable electronic devices. Natl Sci Rev 2024; 11:nwae062. [PMID: 38628571 PMCID: PMC11020258 DOI: 10.1093/nsr/nwae062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 02/03/2024] [Accepted: 02/19/2024] [Indexed: 04/19/2024] Open
Abstract
The limited lifespan of batteries is a challenge in the application of implantable electronic devices. Existing wireless power technologies such as ultrasound, near-infrared light and magnetic fields cannot charge devices implanted in deep tissues, resulting in energy attenuation through tissues and thermal generation. Herein, an ultra-low frequency magnetic energy focusing (ULFMEF) methodology was developed for the highly effective wireless powering of deep-tissue implantable devices. A portable transmitter was used to output the low-frequency magnetic field (<50 Hz), which remotely drives the synchronous rotation of a magnetic core integrated within the pellet-like implantable device, generating an internal rotating magnetic field to induce wireless electricity on the coupled coils of the device. The ULFMEF can achieve energy transfer across thick tissues (up to 20 cm) with excellent transferred power (4-15 mW) and non-heat effects in tissues, which is remarkably superior to existing wireless powering technologies. The ULFMEF is demonstrated to wirelessly power implantable micro-LED devices for optogenetic neuromodulation, and wirelessly charged an implantable battery for programmable electrical stimulation on the sciatic nerve. It also bypassed thick and tough protective shells to power the implanted devices. The ULFMEF thus offers a highly advanced methodology for the generation of wireless powered biodevices.
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Affiliation(s)
- Yuanyuan Li
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
| | - Zhipeng Chen
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
- School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
| | - Yuxin Liu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
| | - Zijian Liu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
| | - Tong Wu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
| | - Yuanxi Zhang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
| | - Lelun Peng
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
| | - Xinshuo Huang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China
| | - Shuang Huang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China
| | - Xudong Lin
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
| | - Xi Xie
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China
| | - Lelun Jiang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
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11
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Silberstein RB, Bigelow FJ. Brain functional connectivity correlates of anomalous interaction between sensorily isolated monozygotic twins. Front Hum Neurosci 2024; 18:1388049. [PMID: 38660011 PMCID: PMC11039847 DOI: 10.3389/fnhum.2024.1388049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
This study examined brain functional connectivity (FC) changes associated with possible anomalous interactions between sensorily isolated monozygotic (MZ) twins. Brain FC was estimated using the Steady State Visual Evoked Potential-Event Related Partial Coherence (SSVEP-ERPC) methodology. Five twin pairs served twice as participants, with an average interval between sessions of 67 days. In each recording session, one twin, the Sender, viewed a randomized set of 50 general images and 50 personally relevant images, while the other twin, the Receiver, viewed a static personally relevant image for the entire duration of the session. Images appeared on the Sender screen for 1.0 s, with the interval between successive images varied randomly between 4.0 and 8.0 s. Receiver FC changes were calculated based on the appearance times of the images as viewed by the Sender. It was hypothesized that anomalous interactions would be indicated by statistically significant Receiver FC changes when those changes are determined using the Sender image appearance times. For each twin serving as Receiver, FC components were separately analyzed for the 50 general and the 50 personal images, yielding 38 observations (19 twin pairs by 2 conditions). The hypothesis was confirmed in that 11 of the 38 observations yielded statistically significant Receiver FC increases or decreases at the p < 0.01 level only when trials were synchronized to the Sender image appearance times. Overall, this effect was significant at the p = 4 × 10-8 Df = 175. To the best of our knowledge, this is the first study reporting statistically significant FC changes indicative of anomalous interactions between two sensorily isolated individuals.
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Affiliation(s)
- Richard B. Silberstein
- Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, VIC, Australia
- Neuro-Insight Pty Ltd, Hawthorn, VIC, Australia
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12
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Hu Z, Zhao J, Guo H, Li R, Wu M, Shen J, Wang Y, Qiao Z, Xu Y, Haugstad G, An D, Xie Z, Kandela I, Nandoliya KR, Chen Y, Yu Y, Yuan Q, Hou J, Deng Y, AlDubayan AH, Yang Q, Zeng L, Lu D, Koo J, Bai W, Song E, Yao S, Wolverton C, Huang Y, Rogers JA. Ultrathin, Transferred Layers of Silicon Oxynitrides as Tunable Biofluid Barriers for Bioresorbable Electronic Systems. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307782. [PMID: 38303684 DOI: 10.1002/adma.202307782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/25/2024] [Indexed: 02/03/2024]
Abstract
Bio/ecoresorbable electronic systems create unique opportunities in implantable medical devices that serve a need over a finite time period and then disappear naturally to eliminate the need for extraction surgeries. A critical challenge in the development of this type of technology is in materials that can serve as thin, stable barriers to surrounding ground water or biofluids, yet ultimately dissolve completely to benign end products. This paper describes a class of inorganic material (silicon oxynitride, SiON) that can be formed in thin films by plasma-enhanced chemical vapor deposition for this purpose. In vitro studies suggest that SiON and its dissolution products are biocompatible, indicating the potential for its use in implantable devices. A facile process to fabricate flexible, wafer-scale multilayer films bypasses limitations associated with the mechanical fragility of inorganic thin films. Systematic computational, analytical, and experimental studies highlight the essential materials aspects. Demonstrations in wireless light-emitting diodes both in vitro and in vivo illustrate the practical use of these materials strategies. The ability to select degradation rates and water permeability through fine tuning of chemical compositions and thicknesses provides the opportunity to obtain a range of functional lifetimes to meet different application requirements.
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Affiliation(s)
- Ziying Hu
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Jie Zhao
- State Key Laboratory of Molecular Engineering of Polymers, Department of Materials Science, Fudan University, Shanghai, 200433, China
| | - Hexia Guo
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Rui Li
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, 116024, P. R. China
| | - Mingzheng Wu
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Jiahong Shen
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Yue Wang
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Zheng Qiao
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Yue Xu
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Greg Haugstad
- Characterization Facility, University of Minnesota, 100 Union St. SE, Minneapolis, MN, 55455, USA
| | - Dongqi An
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, 116024, P. R. China
| | - Zhaoqian Xie
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, 116024, P. R. China
| | - Irawati Kandela
- Center for Developmental Therapeutics, Northwestern University, Evanston, IL, 60208, USA
- Chemistry Life Processes Institute, Northwestern University, Evanston, IL, 60208, USA
| | - Khizar R Nandoliya
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Yu Chen
- School of Physical Science and Technology, Shanghai Tech University, Shanghai, 201210, China
| | - Yi Yu
- School of Physical Science and Technology, Shanghai Tech University, Shanghai, 201210, China
| | - Qunyao Yuan
- State Key Laboratory of Molecular Engineering of Polymers, Department of Materials Science, Fudan University, Shanghai, 200433, China
| | - Junyu Hou
- State Key Laboratory of Molecular Engineering of Polymers, Department of Materials Science, Fudan University, Shanghai, 200433, China
| | - Yujun Deng
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Abdulaziz H AlDubayan
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Quansan Yang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Liangsong Zeng
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Di Lu
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Jahyun Koo
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Wubin Bai
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Enming Song
- Institute of Optoelectronics, Fudan University, Shanghai, 200433, P. R. China
| | - Shenglian Yao
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Chris Wolverton
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - John A Rogers
- Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Department of Chemistry, Department of Neurological Surgery, and Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208, USA
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13
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Madhvapathy SR, Bury MI, Wang LW, Ciatti JL, Avila R, Huang Y, Sharma AK, Rogers JA. Miniaturized implantable temperature sensors for the long-term monitoring of chronic intestinal inflammation. Nat Biomed Eng 2024:10.1038/s41551-024-01183-w. [PMID: 38499643 DOI: 10.1038/s41551-024-01183-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 02/09/2024] [Indexed: 03/20/2024]
Abstract
Diagnosing and monitoring inflammatory bowel diseases, such as Crohn's disease, involves the use of endoscopic imaging, biopsies and serology. These infrequent tests cannot, however, identify sudden onsets and severe flare-ups to facilitate early intervention. Hence, about 70% of patients with Crohn's disease require surgical intestinal resections in their lifetime. Here we report wireless, miniaturized and implantable temperature sensors for the real-time chronic monitoring of disease progression, which we tested for nearly 4 months in a mouse model of Crohn's-disease-like ileitis. Local measurements of intestinal temperature via intraperitoneally implanted sensors held in place against abdominal muscular tissue via two sutures showed the development of ultradian rhythms at approximately 5 weeks before the visual emergence of inflammatory skip lesions. The ultradian rhythms showed correlations with variations in the concentrations of stress hormones and inflammatory cytokines in blood. Decreasing average temperatures over the span of approximately 23 weeks were accompanied by an increasing percentage of inflammatory species in ileal lesions. These miniaturized temperature sensors may aid the early treatment of inflammatory bowel diseases upon the detection of episodic flare-ups.
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Affiliation(s)
- Surabhi R Madhvapathy
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Matthew I Bury
- Division of Pediatric Urology, Department of Surgery, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Stanley Manne Children's Research Institute, Louis A. Simpson and Kimberly K. Querrey Biomedical Research Center, Chicago, IL, USA
| | - Larry W Wang
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Joanna L Ciatti
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Raudel Avila
- Department of Mechanical Engineering, Rice University, Houston, TX, USA
| | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Department of Civil Engineering, Northwestern University, Evanston, IL, USA
| | - Arun K Sharma
- Division of Pediatric Urology, Department of Surgery, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
- Stanley Manne Children's Research Institute, Louis A. Simpson and Kimberly K. Querrey Biomedical Research Center, Chicago, IL, USA.
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
- Simpson Querrey Institute, Northwestern University, Chicago, IL, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
| | - John A Rogers
- Department of Materials Science and 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.
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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14
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Butscher JF, Hillebrandt S, Mischok A, Popczyk A, Booth JHH, Gather MC. Wireless magnetoelectrically powered organic light-emitting diodes. SCIENCE ADVANCES 2024; 10:eadm7613. [PMID: 38446883 PMCID: PMC10917343 DOI: 10.1126/sciadv.adm7613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 01/31/2024] [Indexed: 03/08/2024]
Abstract
Compact wireless light sources are a fundamental building block for applications ranging from wireless displays to optical implants. However, their realization remains challenging because of constraints in miniaturization and the integration of power harvesting and light-emission technologies. Here, we introduce a strategy for a compact wirelessly powered light-source that consists of a magnetoelectric transducer serving as power source and substrate and an antiparallel pair of custom-designed organic light-emitting diodes. The devices operate at low-frequency ac magnetic fields (~100 kHz), which has the added benefit of allowing operation multiple centimeters deep inside watery environments. By tuning the device resonance frequency, it is possible to separately address multiple devices, e.g., to produce light of distinct colors, to address individual display pixels, or for clustered operation. By simultaneously offering small size, individual addressing, and compatibility with challenging environments, our devices pave the way for a multitude of applications in wireless displays, deep tissue treatment, sensing, and imaging.
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Affiliation(s)
- Julian F. Butscher
- Centre of Biophotonics, SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, UK
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Sabina Hillebrandt
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Andreas Mischok
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Anna Popczyk
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Jonathan H. H. Booth
- Centre of Biophotonics, SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, UK
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Malte C. Gather
- Centre of Biophotonics, SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, UK
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
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15
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Kim JT, Yoon HJ, Cheng S, Liu F, Kang S, Paudel S, Cho D, Luan H, Lee M, Jeong G, Park J, Huang YT, Lee SE, Cho M, Lee G, Han M, Kim BH, Yan J, Park Y, Jung S, Chamorro LP, Rogers JA. Functional bio-inspired hybrid fliers with separated ring and leading edge vortices. PNAS NEXUS 2024; 3:pgae110. [PMID: 38516273 PMCID: PMC10957237 DOI: 10.1093/pnasnexus/pgae110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 02/29/2024] [Indexed: 03/23/2024]
Abstract
Recent advances in passive flying systems inspired by wind-dispersed seeds contribute to increasing interest in their use for remote sensing applications across large spatial domains in the Lagrangian frame of reference. These concepts create possibilities for developing and studying structures with performance characteristics and operating mechanisms that lie beyond those found in nature. Here, we demonstrate a hybrid flier system, fabricated through a process of controlled buckling, to yield unusual geometries optimized for flight. Specifically, these constructs simultaneously exploit distinct fluid phenomena, including separated vortex rings from features that resemble those of dandelion seeds and the leading-edge vortices derived from behaviors of maple seeds. Advanced experimental measurements and computational simulations of the aerodynamics and induced flow physics of these hybrid fliers establish a concise, scalable analytical framework for understanding their flight mechanisms. Demonstrations with functional payloads in various forms, including bioresorbable, colorimetric, gas-sensing, and light-emitting platforms, illustrate examples with diverse capabilities in sensing and tracking.
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Affiliation(s)
- Jin-Tae Kim
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea
| | - Hong-Joon Yoon
- Department of Electronic Engineering, Gachon University, Gyeonggi-do 13120, Republic of Korea
| | - Shyuan Cheng
- Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Fei Liu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Soohyeon Kang
- Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Shashwot Paudel
- Department of Civil and Environmental Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Donghwi Cho
- Advanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea
| | - Haiwen Luan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Minkyu Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Gooyoon Jeong
- Department of Advanced Materials Engineering for Information and Electronics, Integrated Education Institute for Frontier Science & Technology (BK21 Four), Kyung Hee University, Yongin-si, 17104, Republic of Korea
| | - Jaehong Park
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Yu-Ting Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Su Eon Lee
- Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea
| | - Min Cho
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Geonhee Lee
- Advanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea
| | - Mengdi Han
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100091, China
| | - Bong Hoon Kim
- Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea
| | - Jinhui Yan
- Department of Civil and Environmental Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Yoonseok Park
- Department of Advanced Materials Engineering for Information and Electronics, Integrated Education Institute for Frontier Science & Technology (BK21 Four), Kyung Hee University, Yongin-si, 17104, Republic of Korea
| | - Sunghwan Jung
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Leonardo P Chamorro
- Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801, USA
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
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16
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Chang S, Koo JH, Yoo J, Kim MS, Choi MK, Kim DH, Song YM. Flexible and Stretchable Light-Emitting Diodes and Photodetectors for Human-Centric Optoelectronics. Chem Rev 2024; 124:768-859. [PMID: 38241488 DOI: 10.1021/acs.chemrev.3c00548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Optoelectronic devices with unconventional form factors, such as flexible and stretchable light-emitting or photoresponsive devices, are core elements for the next-generation human-centric optoelectronics. For instance, these deformable devices can be utilized as closely fitted wearable sensors to acquire precise biosignals that are subsequently uploaded to the cloud for immediate examination and diagnosis, and also can be used for vision systems for human-interactive robotics. Their inception was propelled by breakthroughs in novel optoelectronic material technologies and device blueprinting methodologies, endowing flexibility and mechanical resilience to conventional rigid optoelectronic devices. This paper reviews the advancements in such soft optoelectronic device technologies, honing in on various materials, manufacturing techniques, and device design strategies. We will first highlight the general approaches for flexible and stretchable device fabrication, including the appropriate material selection for the substrate, electrodes, and insulation layers. We will then focus on the materials for flexible and stretchable light-emitting diodes, their device integration strategies, and representative application examples. Next, we will move on to the materials for flexible and stretchable photodetectors, highlighting the state-of-the-art materials and device fabrication methods, followed by their representative application examples. At the end, a brief summary will be given, and the potential challenges for further development of functional devices will be discussed as a conclusion.
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Affiliation(s)
- Sehui Chang
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Ja Hoon Koo
- Department of Semiconductor Systems Engineering, Sejong University, Seoul 05006, Republic of Korea
- Institute of Semiconductor and System IC, Sejong University, Seoul 05006, Republic of Korea
| | - Jisu Yoo
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Min Seok Kim
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Moon Kee Choi
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Graduate School of Semiconductor Materials and Devices Engineering, Center for Future Semiconductor Technology (FUST), UNIST, Ulsan 44919, Republic of Korea
- Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
| | - Dae-Hyeong Kim
- Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University (SNU), Seoul 08826, Republic of Korea
- Department of Materials Science and Engineering, SNU, Seoul 08826, Republic of Korea
- Interdisciplinary Program for Bioengineering, SNU, Seoul 08826, Republic of Korea
| | - Young Min Song
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Artificial Intelligence (AI) Graduate School, GIST, Gwangju 61005, Republic of Korea
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17
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Li P, Zhang J, Hayashi H, Yue J, Li W, Yang C, Sun C, Shi J, Huberman-Shlaes J, Hibino N, Tian B. Monolithic silicon for high spatiotemporal translational photostimulation. Nature 2024; 626:990-998. [PMID: 38383782 DOI: 10.1038/s41586-024-07016-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 01/02/2024] [Indexed: 02/23/2024]
Abstract
Electrode-based electrical stimulation underpins several clinical bioelectronic devices, including deep-brain stimulators1,2 and cardiac pacemakers3. However, leadless multisite stimulation is constrained by the technical difficulties and spatial-access limitations of electrode arrays. Optogenetics offers optically controlled random access with high spatiotemporal capabilities, but clinical translation poses challenges4-6. Here we show tunable spatiotemporal photostimulation of cardiac systems using a non-genetic platform based on semiconductor-enabled biomodulation interfaces. Through spatiotemporal profiling of photoelectrochemical currents, we assess the magnitude, precision, accuracy and resolution of photostimulation in four leadless silicon-based monolithic photoelectrochemical devices. We demonstrate the optoelectronic capabilities of the devices through optical overdrive pacing of cultured cardiomyocytes (CMs) targeting several regions and spatial extents, isolated rat hearts in a Langendorff apparatus, in vivo rat hearts in an ischaemia model and an in vivo mouse heart model with transthoracic optical pacing. We also perform the first, to our knowledge, optical override pacing and multisite pacing of a pig heart in vivo. Our systems are readily adaptable for minimally invasive clinical procedures using our custom endoscopic delivery device, with which we demonstrate closed-thoracic operations and endoscopic optical stimulation. Our results indicate the clinical potential of the leadless, lightweight and multisite photostimulation platform as a pacemaker in cardiac resynchronization therapy (CRT), in which lead-placement complications are common.
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Affiliation(s)
- Pengju Li
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, USA
| | - Jing Zhang
- The James Franck Institute, The University of Chicago, Chicago, IL, USA
| | - Hidenori Hayashi
- Section of Cardiac Surgery, Department of Surgery, The University of Chicago, Chicago, IL, USA
| | - Jiping Yue
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Wen Li
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Chuanwang Yang
- The James Franck Institute, The University of Chicago, Chicago, IL, USA
| | - Changxu Sun
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, USA
| | - Jiuyun Shi
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | | | - Narutoshi Hibino
- Section of Cardiac Surgery, Department of Surgery, The University of Chicago, Chicago, IL, USA.
| | - Bozhi Tian
- The James Franck Institute, The University of Chicago, Chicago, IL, USA.
- Department of Chemistry, The University of Chicago, Chicago, IL, USA.
- Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.
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18
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Li X, Li M, Qin X, Li Y, Wang Y, Han C, Ni S, Sun X, Dong P, Liu J. Providing holistic care to children with cerebral palsy treated with transnasal neural stem cell transplantation. Front Pediatr 2024; 11:1297563. [PMID: 38250587 PMCID: PMC10796742 DOI: 10.3389/fped.2023.1297563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/14/2023] [Indexed: 01/23/2024] Open
Abstract
Objective Holistic care is a key element in nursing care. Aiming at the heterogeneous disease of cerebral palsy, researchers focused on children with cerebral palsy who received transnasal transplantation of neural stem cells as a specific group. Based on establishing a multidisciplinary team, comprehensive care is carried out for this type of patient during the perioperative period to improve the effectiveness and safety of clinical research and increase the comfort of children. Methods Between January 2018 and June 2023, 22 children with cerebral palsy underwent three transnasal transplants of neural stem cells. Results No adverse reactions related to immune rejection were observed in the 22 children during hospitalization and follow-up. All children tolerated the treatment well, and the treatment was superior. One child developed nausea and vomiting after sedation; three had a small amount of bleeding of nasal mucosa after transplantation. Two children had a low fever (≤38.5°C), and one had a change in the type and frequency of complex partial seizures. Moreover, 3 children experienced patch shedding within 4 h of patch implantation into the nasal cavity. Conclusion The project team adopted nasal stem cell transplantation technology. Based on the characteristics of transnasal transplantation of neural stem cells in the treatment of neurological diseases in children, a comprehensive and novel holistic care plan is proposed. It is of great significance to guide caregivers of children to complete proper care, further improve the safety and effectiveness of treatment, and reduce the occurrence of complications.
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Affiliation(s)
- Xiaoyan Li
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, Liaoning Province, China
| | - Mengyao Li
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Xixian Qin
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Ying Li
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, Liaoning Province, China
| | - Yachen Wang
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, Liaoning Province, China
| | - Chao Han
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, Liaoning Province, China
| | - Shiwei Ni
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, Liaoning Province, China
| | - Xuna Sun
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Peipei Dong
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Jing Liu
- Stem Cell Clinical Research Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, Liaoning Province, China
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19
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Thenuwara G, Curtin J, Tian F. Advances in Diagnostic Tools and Therapeutic Approaches for Gliomas: A Comprehensive Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:9842. [PMID: 38139688 PMCID: PMC10747598 DOI: 10.3390/s23249842] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023]
Abstract
Gliomas, a prevalent category of primary malignant brain tumors, pose formidable clinical challenges due to their invasive nature and limited treatment options. The current therapeutic landscape for gliomas is constrained by a "one-size-fits-all" paradigm, significantly restricting treatment efficacy. Despite the implementation of multimodal therapeutic strategies, survival rates remain disheartening. The conventional treatment approach, involving surgical resection, radiation, and chemotherapy, grapples with substantial limitations, particularly in addressing the invasive nature of gliomas. Conventional diagnostic tools, including computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), play pivotal roles in outlining tumor characteristics. However, they face limitations, such as poor biological specificity and challenges in distinguishing active tumor regions. The ongoing development of diagnostic tools and therapeutic approaches represents a multifaceted and promising frontier in the battle against this challenging brain tumor. The aim of this comprehensive review is to address recent advances in diagnostic tools and therapeutic approaches for gliomas. These innovations aim to minimize invasiveness while enabling the precise, multimodal targeting of localized gliomas. Researchers are actively developing new diagnostic tools, such as colorimetric techniques, electrochemical biosensors, optical coherence tomography, reflectometric interference spectroscopy, surface-enhanced Raman spectroscopy, and optical biosensors. These tools aim to regulate tumor progression and develop precise treatment methods for gliomas. Recent technological advancements, coupled with bioelectronic sensors, open avenues for new therapeutic modalities, minimizing invasiveness and enabling multimodal targeting with unprecedented precision. The next generation of multimodal therapeutic strategies holds potential for precision medicine, aiding the early detection and effective management of solid brain tumors. These innovations offer promise in adopting precision medicine methodologies, enabling early disease detection, and improving solid brain tumor management. This review comprehensively recognizes the critical role of pioneering therapeutic interventions, holding significant potential to revolutionize brain tumor therapeutics.
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Affiliation(s)
- Gayathree Thenuwara
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland;
- Institute of Biochemistry, Molecular Biology, and Biotechnology, University of Colombo, Colombo 00300, Sri Lanka
| | - James Curtin
- Faculty of Engineering and Built Environment, Technological University Dublin, Bolton Street, D01 K822 Dublin, Ireland;
| | - Furong Tian
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland;
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20
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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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21
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Novembre G, Nguyen T, Bigand F, Tucci V, Papaleo F, Bianco R, Koul A. Sociality and Timing: Correlation or Causation? Comment on 'The evolution of social timing' by Verga L., Kotz S. & Ravignani A. Phys Life Rev 2023; 47:179-181. [PMID: 37924673 DOI: 10.1016/j.plrev.2023.10.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 10/18/2023] [Indexed: 11/06/2023]
Affiliation(s)
- Giacomo Novembre
- Neuroscience of Perception and Action Lab, Italian Institute of Technology (IIT), Rome, Italy.
| | - Trinh Nguyen
- Neuroscience of Perception and Action Lab, Italian Institute of Technology (IIT), Rome, Italy
| | - Félix Bigand
- Neuroscience of Perception and Action Lab, Italian Institute of Technology (IIT), Rome, Italy
| | - Valter Tucci
- Genetics and Epigenetics of Behavior, Italian Institute of Technology (IIT), Genova, Italy
| | - Francesco Papaleo
- Genetics and Cognition, Italian Institute of Technology (IIT), Genova, Italy
| | - Roberta Bianco
- Neuroscience of Perception and Action Lab, Italian Institute of Technology (IIT), Rome, Italy
| | - Atesh Koul
- Neuroscience of Perception and Action Lab, Italian Institute of Technology (IIT), Rome, Italy
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22
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Garland NT, Song JW, Ma T, Kim YJ, Vázquez-Guardado A, Hashkavayi AB, Ganeshan SK, Sharma N, Ryu H, Lee MK, Sumpio B, Jakus MA, Forsberg V, Kaveti R, Sia SK, Veves A, Rogers JA, Ameer GA, Bandodkar AJ. A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early. Adv Healthc Mater 2023; 12:e2301280. [PMID: 37407030 PMCID: PMC10766868 DOI: 10.1002/adhm.202301280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/07/2023]
Abstract
Diabetic foot ulcers are chronic wounds that affect millions and increase the risk of amputation and mortality, highlighting the critical need for their early detection. Recent demonstrations of wearable sensors enable real-time wound assessment, but they rely on bulky electronics, making them difficult to interface with wounds. Herein, a miniaturized, wireless, battery-free wound monitor that measures lactate in real-time and seamlessly integrates with bandages for conformal attachment to the wound bed is introduced. Lactate is selected due to its multifaceted role in initiating healing. Studies in healthy and diabetic mice reveal distinct lactate profiles for normal and impaired healing wounds. A mathematical model based on the sensor data predicts wound closure rate within the first 3 days post-injury with ≈76% accuracy, which increases to ≈83% when pH is included. These studies underscore the significance of monitoring biomarkers during the inflammation phase, which can offer several benefits, including short-term use of wound monitors and their easy removal, resulting in lower risks of injury and infection at the wound site. Improvements in prediction accuracy can be achieved by designing mathematical models that build on multiple wound parameters such as pro-inflammatory and metabolic markers. Achieving this goal will require designing multi-analyte wound monitors.
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Affiliation(s)
- Nate T. Garland
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, NC, USA
| | - Joseph W. Song
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Center for Advanced Regenerative Engineering, Northwestern University, Evanston, IL, USA
| | - Tengfei Ma
- IBM T. J. Watson Research Center, Ossining, NY, USA
| | - Yong Jae Kim
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, NC, USA
| | | | - Ayemeh Bagheri Hashkavayi
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, NC, USA
| | - Sankalp Koduvayur Ganeshan
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, NC, USA
| | - Nivesh Sharma
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, NC, USA
| | - Hanjun Ryu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Min-Kyu Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Brandon Sumpio
- Joslin-Beth Israel Deaconess Foot Center and the Rongxiang Xu, MD, Center for Regenerative Therapeutics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Viviane Forsberg
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Department of Natural Sciences, Mid Sweden University, Holmgatan 10, 851 70, Sundsvall, Sweden
| | - Rajaram Kaveti
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, NC, USA
| | - Samuel K. Sia
- Department of Biomedical Engineering, Columbia University, USA
| | - Aristidis Veves
- Joslin-Beth Israel Deaconess Foot Center and the Rongxiang Xu, MD, Center for Regenerative Therapeutics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - John A. Rogers
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Center for Advanced Regenerative Engineering, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Guillermo A. Ameer
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Center for Advanced Regenerative Engineering, Northwestern University, Evanston, IL, USA
- Simpson Querrey Institute for Bionanotechnology, Evanston, IL, USA
- Chemistry of Life Processes Institute, Northwestern University, Evanston, IL, USA
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- International Institute for Nanotechnology, Northwestern University, Evanston, IL, USA
| | - Amay J. Bandodkar
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, NC, USA
- Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, NC, USA
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23
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Olarewaju E, Dumas G, Palaniyappan L. Disorganized Communication and Social Dysfunction in Schizophrenia: Emerging Concepts and Methods. Curr Psychiatry Rep 2023; 25:671-681. [PMID: 37740852 DOI: 10.1007/s11920-023-01462-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/05/2023] [Indexed: 09/25/2023]
Abstract
PURPOSE OF REVIEW In this review, we embrace the emerging field of second-person neuroscience to address disorganization in schizophrenia. We argue that the focus of interest for disorganization is the interpersonal space where shared mental processes ('social mind') occur based on the bio-behavioural synchrony between two (or more) interacting people. We lay out several bio-behavioural measures that can capture the component parts of this process. In particular, we highlight the real-time imaging technology of hyperscanning that enables multi-person analysis of naturalistic social interaction. We illustrate how these measures can be used in empirical studies by posing disorganization as a problem of interpersonal processing. RECENT FINDINGS Traditionally, disorganized speech and behaviour have been studied as the product of hidden cognitive processes ('private mind'). A dysfunction in these processes was attributed to the brain afflicted by the illness ('brain-bound mechanisms'). But this approach has contributed to challenges in measuring and quantifying disorganization. Consequently, the single-brain focus has not provided satisfactory clarity or led to effective treatments for persistent social dysfunction in schizophrenia. Social dysfunction is a core feature of schizophrenia. This dysfunction arises from disorganized interpersonal interaction that typifies the social profile of affected individuals. We outline challenges in employing several emerging concepts and methods and how they can be addressed to investigate the mechanisms of social dysfunction in schizophrenia.
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Affiliation(s)
- Emmanuel Olarewaju
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Guillaume Dumas
- Department of Psychiatry, CHU Sainte Justine Research Center, University of Montreal, Montreal, QC, Canada
- Division of Social and Transcultural Psychiatry, McGill University, Montreal, QC, Canada
| | - Lena Palaniyappan
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
- Robarts Research Institute, Western University, London, ON, Canada.
- Department of Medical Biophysics, Western University, London, Canada.
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24
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Mirabella PN, Fenselau H. Advanced neurobiological tools to interrogate metabolism. Nat Rev Endocrinol 2023; 19:639-654. [PMID: 37674015 DOI: 10.1038/s41574-023-00885-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/24/2023] [Indexed: 09/08/2023]
Abstract
Engineered neurobiological tools for the manipulation of cellular activity, such as chemogenetics and optogenetics, have become a cornerstone of modern neuroscience research. These tools are invaluable for the interrogation of the central control of metabolism as they provide a direct means to establish a causal relationship between brain activity and biological processes at the cellular, tissue and organismal levels. The utility of these methods has grown substantially due to advances in cellular-targeting strategies, alongside improvements in the resolution and potency of such tools. Furthermore, the potential to recapitulate endogenous cellular signalling has been enriched by insights into the molecular signatures and activity dynamics of discrete brain cell types. However, each modulatory tool has a specific set of advantages and limitations; therefore, tool selection and suitability are of paramount importance to optimally interrogate the cellular and circuit-based underpinnings of metabolic outcomes within the organism. Here, we describe the key principles and uses of engineered neurobiological tools. We also highlight inspiring applications and outline critical considerations to be made when using these tools within the field of metabolism research. We contend that the appropriate application of these biotechnological advances will enable the delineation of the central circuitry regulating systemic metabolism with unprecedented potential.
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Affiliation(s)
- Paul Nicholas Mirabella
- Synaptic Transmission in Energy Homeostasis Group, Max Planck Institute for Metabolism Research, Cologne, Germany
- Center for Endocrinology, Diabetes and Preventive Medicine (CEDP), University Hospital Cologne, Cologne, Germany
| | - Henning Fenselau
- Synaptic Transmission in Energy Homeostasis Group, Max Planck Institute for Metabolism Research, Cologne, Germany.
- Center for Endocrinology, Diabetes and Preventive Medicine (CEDP), University Hospital Cologne, Cologne, Germany.
- Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (CECAD), University of Cologne, Cologne, Germany.
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25
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Bakoyiannis I, Ducourneau EG, Parkes SL, Ferreira G. Pathway specific interventions reveal the multiple roles of ventral hippocampus projections in cognitive functions. Rev Neurosci 2023; 34:825-838. [PMID: 37192533 DOI: 10.1515/revneuro-2023-0009] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/28/2023] [Indexed: 05/18/2023]
Abstract
Since the 1950s study of Scoville and Milner on the case H.M., the hippocampus has attracted neuroscientists' attention. The hippocampus has been traditionally divided into dorsal and ventral parts, each of which projects to different brain structures and mediates various functions. Despite a predominant interest in its dorsal part in animal models, especially regarding episodic-like and spatial cognition, recent data highlight the role of the ventral hippocampus (vHPC), as the main hippocampal output, in cognitive processes. Here, we review recent studies conducted in rodents that have used advanced in vivo functional techniques to specifically monitor and manipulate vHPC efferent pathways and delineate the roles of these specific projections in learning and memory processes. Results highlight that vHPC projections to basal amygdala are implicated in emotional memory, to nucleus accumbens in social memory and instrumental actions and to prefrontal cortex in all the above as well as in object-based memory. Some of these hippocampal projections also modulate feeding and anxiety-like behaviours providing further evidence that the "one pathway-one function" view is outdated and future directions are proposed to better understand the role of hippocampal pathways and shed further light on its connectivity and function.
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Affiliation(s)
- Ioannis Bakoyiannis
- University of Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, F-33077 Bordeaux, France
| | - Eva-Gunnel Ducourneau
- University of Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, F-33077 Bordeaux, France
| | - Shauna L Parkes
- University of Bordeaux, CNRS, INCIA, UMR 5287, F-33000 Bordeaux, France
| | - Guillaume Ferreira
- University of Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, F-33077 Bordeaux, France
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26
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Cui H, Zhao S, Hong G. Wireless deep-brain neuromodulation using photovoltaics in the second near-infrared spectrum. DEVICE 2023; 1:100113. [PMID: 37990694 PMCID: PMC10659575 DOI: 10.1016/j.device.2023.100113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
Conventional electrical neuromodulation techniques are constrained by the need for invasive implants in neural tissues, whereas methods using optogenetic are subjected to genetic alterations and hampered by the poor tissue penetration of visible light. Photovoltaic neuromodulation using light from the second near-infrared (NIR-II) spectrum, which minimizes scattering and enhances tissue penetration, shows promise as an alternative to existing neuromodulation technologies. NIR-II light has been used in deep-tissue imaging and in deep-brain photothermal neuromodulation via nanotransducers. This Perspective will provide an overview for the underpinning mechanisms of photovoltaic neuromodulation and identify avenues for future research in materials science and bioengineering that can further advance NIR-II photovoltaic neuromodulation methods.
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Affiliation(s)
- Han Cui
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA
| | - Su Zhao
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA
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27
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Ouyang W, Lu W, Zhang Y, Liu Y, Kim JU, Shen H, Wu Y, Luan H, Kilner K, Lee SP, Lu Y, Yang Y, Wang J, Yu Y, Wegener AJ, Moreno JA, Xie Z, Wu Y, Won SM, Kwon K, Wu C, Bai W, Guo H, Liu TL, Bai H, Monti G, Zhu J, Madhvapathy SR, Trueb J, Stanslaski M, Higbee-Dempsey EM, Stepien I, Ghoreishi-Haack N, Haney CR, Kim TI, Huang Y, Ghaffari R, Banks AR, Jhou TC, Good CH, Rogers JA. A wireless and battery-less implant for multimodal closed-loop neuromodulation in small animals. Nat Biomed Eng 2023; 7:1252-1269. [PMID: 37106153 DOI: 10.1038/s41551-023-01029-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 03/26/2023] [Indexed: 04/29/2023]
Abstract
Fully implantable wireless systems for the recording and modulation of neural circuits that do not require physical tethers or batteries allow for studies that demand the use of unconstrained and freely behaving animals in isolation or in social groups. Moreover, feedback-control algorithms that can be executed within such devices without the need for remote computing eliminate virtual tethers and any associated latencies. Here we report a wireless and battery-less technology of this type, implanted subdermally along the back of freely moving small animals, for the autonomous recording of electroencephalograms, electromyograms and body temperature, and for closed-loop neuromodulation via optogenetics and pharmacology. The device incorporates a system-on-a-chip with Bluetooth Low Energy for data transmission and a compressed deep-learning module for autonomous operation, that offers neurorecording capabilities matching those of gold-standard wired systems. We also show the use of the implant in studies of sleep-wake regulation and for the programmable closed-loop pharmacological suppression of epileptic seizures via feedback from electroencephalography. The technology can support a broader range of applications in neuroscience and in biomedical research with small animals.
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Affiliation(s)
- Wei Ouyang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Wei Lu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Yamin Zhang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Yiming Liu
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA
| | - Jong Uk Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- School of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Haixu Shen
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Yunyun Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Haiwen Luan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | | | - Stephen P Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Neurolux Inc., Northfield, IL, USA
| | - Yinsheng Lu
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Yiyuan Yang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
| | - Jin Wang
- Department of Materials Science and Engineering, 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
| | - Justin A Moreno
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA
- SURVICE Engineering, Belcamp, MD, USA
| | - Zhaoqian Xie
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA
| | - Yixin Wu
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Sang Min Won
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Kyeongha Kwon
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Changsheng Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Wubin Bai
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
- Department of Applied Physical Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hexia Guo
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Tzu-Li Liu
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
| | - Hedan Bai
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Giuditta Monti
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
| | - Jason Zhu
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
- Department of Chemistry, Northwestern University, Evanston, IL, USA
| | - Surabhi R Madhvapathy
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Jacob Trueb
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | | | | | - Iwona Stepien
- Developmental Therapeutics Core, Northwestern University, Evanston, IL, USA
| | | | - Chad R Haney
- Center for Advanced Molecular Imaging, Northwestern University, Evanston, IL, USA
| | - Tae-Il Kim
- School of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
- Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University (SKKU), Suwon, Republic of Korea
| | - Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA
| | - Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Neurolux Inc., Northfield, IL, USA
| | - Anthony R Banks
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Neurolux Inc., Northfield, IL, USA
| | - Thomas C Jhou
- Department of Neurosciences, Medical University of South Carolina, Charleston, SC, USA.
| | - Cameron H Good
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
- Neurolux Inc., Northfield, IL, USA.
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA.
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA.
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Evanston, IL, USA.
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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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29
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Shang X, Ling W, Chen Y, Li C, Huang X. Construction of a Flexible Optogenetic Device for Multisite and Multiregional Optical Stimulation Through Flexible µ-LED Displays on the Cerebral Cortex. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2302241. [PMID: 37260144 DOI: 10.1002/smll.202302241] [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: 03/16/2023] [Revised: 05/14/2023] [Indexed: 06/02/2023]
Abstract
Precisely delivering light to multiple locations in biological tissue is crucial for advancing multiregional optogenetics in neuroscience research. However, conventional implantable devices typically have rigid geometries and limited light sources, allowing only single or dual probe placement with fixed spacing. Here, a fully flexible optogenetic device with multiple thin-film microscale light-emitting diode (µ-LED) displays scattering from a central controller is presented. Each display is heterogeneously integrated with thin-film 5 × 10 µ-LEDs and five optical fibers 125 µm in diameter to achieve cellular-scale spatial resolution. Meanwhile, the device boasts a compact, flexible circuit capable of multichannel configuration and wireless transmission, with an overall weight of 1.31 g, enabling wireless, real-time neuromodulation of freely moving rats. Characterization results and finite element analysis have demonstrated excellent optical properties and mechanical stability, while cytotoxicity tests further ensure the biocompatibility of the device for implantable applications. Behavior studies under optogenetic modulation indicate great promise for wirelessly modulating neural functions in freely moving animals. The device with multisite and multiregional optogenetic modulation capability offers a comprehensive platform to advance both fundamental neuroscience studies and potential applications in brain-computer interfaces.
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Affiliation(s)
- Xue Shang
- Department of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
| | - Wei Ling
- Department of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Laboratory, Hangzhou, 311100, China
| | - Ying Chen
- Institute of Flexible Electronic Technology of Tsinghua, Jiaxing, 314006, China
- Jiaxing Key Laboratory of Flexible Electronics based Intelligent Sensing and Advanced Manufacturing Technology, Jiaxing, 314000, China
| | - Chenxi Li
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
| | - Xian Huang
- Department of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
- Institute of Wearable Technology and Bioelectronics, Qiantang Science and Technology Innovation Center, 1002 23rd Street, Hangzhou, 310018, China
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30
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Shrestha P, Kand D, Weinstain R, Winter AH. meso-Methyl BODIPY Photocages: Mechanisms, Photochemical Properties, and Applications. J Am Chem Soc 2023; 145:17497-17514. [PMID: 37535757 DOI: 10.1021/jacs.3c01682] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
meso-methyl BODIPY photocages have recently emerged as an exciting new class of photoremovable protecting groups (PPGs) that release leaving groups upon absorption of visible to near-infrared light. In this Perspective, we summarize the development of these PPGs and highlight their critical photochemical properties and applications. We discuss the absorption properties of the BODIPY PPGs, structure-photoreactivity studies, insights into the photoreaction mechanism, the scope of functional groups that can be caged, the chemical synthesis of these structures, and how substituents can alter the water solubility of the PPG and direct the PPG into specific subcellular compartments. Applications that exploit the unique optical and photochemical properties of BODIPY PPGs are also discussed, from wavelength-selective photoactivation to biological studies to photoresponsive organic materials and photomedicine.
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Affiliation(s)
- Pradeep Shrestha
- Department of Chemistry, Iowa State University, Ames, Iowa 50010, United States
| | - Dnyaneshwar Kand
- School of Plant Sciences and Food Security, Tel-Aviv University, Tel-Aviv 6997801, Israel
| | - Roy Weinstain
- School of Plant Sciences and Food Security, Tel-Aviv University, Tel-Aviv 6997801, Israel
| | - Arthur H Winter
- Department of Chemistry, Iowa State University, Ames, Iowa 50010, United States
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31
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Ochs AR, Boyle PM. Optogenetic Modulation of Arrhythmia Triggers: Proof-of-Concept from Computational Modeling. Cell Mol Bioeng 2023; 16:243-259. [PMID: 37810996 PMCID: PMC10550900 DOI: 10.1007/s12195-023-00781-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 08/14/2023] [Indexed: 10/10/2023] Open
Abstract
Introduction Early afterdepolarizations (EADs) are secondary voltage depolarizations associated with reduced repolarization reserve (RRR) that can trigger lethal arrhythmias. Relating EADs to triggered activity is difficult to study, so the ability to suppress or provoke EADs would be experimentally useful. Here, we use computational simulations to assess the feasibility of subthreshold optogenetic stimulation modulating the propensity for EADs (cell-scale) and EAD-associated ectopic beats (organ-scale). Methods We modified a ventricular ionic model by reducing rapid delayed rectifier potassium (0.25-0.1 × baseline) and increasing L-type calcium (1.0-3.5 × baseline) currents to create RRR conditions with varying severity. We ran simulations in models of single cardiomyocytes and left ventricles from post-myocardial infarction patient MRI scans. Optogenetic stimulation was simulated using either ChR2 (depolarizing) or GtACR1 (repolarizing) opsins. Results In cell-scale simulations without illumination, EADs were seen for 164 of 416 RRR conditions. Subthreshold stimulation of GtACR1 reduced EAD incidence by up to 84.8% (25/416 RRR conditions; 0.1 μW/mm2); in contrast, subthreshold ChR2 excitation increased EAD incidence by up to 136.6% (388/416 RRR conditions; 50 μW/mm2). At the organ scale, we assumed simultaneous, uniform illumination of the epicardial and endocardial surfaces. GtACR1-mediated suppression (10-50 μW/mm2) and ChR2-mediated unmasking (50-100 μW/mm2) of EAD-associated ectopic beats were feasible in three distinct ventricular models. Conclusions Our findings suggest that optogenetics could be used to silence or provoke both EADs and EAD-associated ectopic beats. Validation in animal models could lead to exciting new experimental regimes and potentially to novel anti-arrhythmia treatments. Supplementary Information The online version contains supplementary material available at 10.1007/s12195-023-00781-z.
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Affiliation(s)
- Alexander R. Ochs
- Department of Bioengineering, UW Bioengineering, University of Washington, 3720 15th Ave NE N107, UW Mailbox 355061, Seattle, WA 98195 USA
| | - Patrick M. Boyle
- Department of Bioengineering, UW Bioengineering, University of Washington, 3720 15th Ave NE N107, UW Mailbox 355061, Seattle, WA 98195 USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA USA
- Center for Cardiovascular Biology, University of Washington, Seattle, WA USA
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32
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Sun F, Shen H, Yang Q, Yuan Z, Chen Y, Guo W, Wang Y, Yang L, Bai Z, Liu Q, Jiang M, Lam JWY, Sun J, Ye R, Kwok RTK, Tang BZ. Dual Behavior Regulation: Tether-Free Deep-Brain Stimulation by Photothermal and Upconversion Hybrid Nanoparticles. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2210018. [PMID: 36864009 DOI: 10.1002/adma.202210018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 02/26/2023] [Indexed: 05/26/2023]
Abstract
Optogenetics has been plagued by invasive brain implants and thermal effects during photo-modulation. Here, two upconversion hybrid nanoparticles modified with photothermal agents, named PT-UCNP-B/G, which can modulate neuronal activities via photostimulation and thermo-stimulation under near-infrared laser irradiation at 980 nm and 808 nm, respectively, are demonstrated. PT-UCNP-B/G emits visible light (410-500 nm or 500-570 nm) through the upconversion process at 980 nm, while they exhibit efficient photothermal effect at 808 nm with no visible emission and tissue damage. Intriguingly, PT-UCNP-B significantly activates extracellular sodium currents in neuro2a cells expressing light-gated channelrhodopsin-2 (ChR2) ion channels under 980-nm irradiation, and inhibits potassium currents in human embryonic kidney 293 cells expressing the voltage-gated potassium channels (KCNQ1) under 808-nm irradiation in vitro. Furthermore, deep-brain bidirectional modulation of feeding behavior is achieved under tether-free 980 or 808-nm illumination (0.8 W cm-2 ) in mice stereotactically injected with PT-UCNP-B in the ChR2-expressing lateral hypothalamus region. Thus, PT-UCNP-B/G creates new possibility of utilizing both light and heat to modulate neural activities and provides a viable strategy to overcome the limits of optogenetics.
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Affiliation(s)
- Feiyi Sun
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Hanchen Shen
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Qinghu Yang
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Zhaoyue Yuan
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Yuyang Chen
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Weihua Guo
- Department of Chemistry, State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, 999077, P. R. China
| | - Yu Wang
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Liang Yang
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Zhantao Bai
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Qingqing Liu
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, 999077, P. R. China
| | - Ming Jiang
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Jacky W Y Lam
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Jianwei Sun
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Ruquan Ye
- Department of Chemistry, State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, 999077, P. R. China
| | - Ryan T K Kwok
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Ben Zhong Tang
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
- School of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen, 518172, P. R. China
- Center of Aggregation-Induced Emission, South China University of Technology, Guangzhou, 510640, P. R. China
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Wu X, Yang F, Cai S, Pu K, Hong G. Nanotransducer-Enabled Deep-Brain Neuromodulation with NIR-II Light. ACS NANO 2023; 17:7941-7952. [PMID: 37079455 DOI: 10.1021/acsnano.2c12068] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The second near-infrared window (NIR-II window), which ranges from 1000 to 1700 nm in wavelength, exhibits distinctive advantages of reduced light scattering and thus deep penetration in biological tissues in comparison to the visible spectrum. The NIR-II window has been widely employed for deep-tissue fluorescence imaging in the past decade. More recently, deep-brain neuromodulation has been demonstrated in the NIR-II window by leveraging nanotransducers that can efficiently convert brain-penetrant NIR-II light into heat. In this Perspective, we discuss the principles and potential applications of this NIR-II deep-brain neuromodulation technique, together with its advantages and limitations compared with other existing optical methods for deep-brain neuromodulation. We also point out a few future directions where the advances in materials science and bioengineering can expand the capability and utility of NIR-II neuromodulation methods.
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Affiliation(s)
- Xiang Wu
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, USA
| | - Fan Yang
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, USA
| | - Sa Cai
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, USA
| | - Kanyi Pu
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, USA
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34
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Zhou L, Zhang Y, Cao G, Zhang C, Zheng C, Meng G, Lai Y, Zhou Z, Liu Z, Liu Z, Guo F, Dong X, Liang Z, Wang Y, Guo S, Zhou X, Jiang H, Yu L. Wireless Self-Powered Optogenetic System for Long-Term Cardiac Neuromodulation to Improve Post-MI Cardiac Remodeling and Malignant Arrhythmia. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2205551. [PMID: 36698262 PMCID: PMC10037959 DOI: 10.1002/advs.202205551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 12/02/2022] [Indexed: 06/17/2023]
Abstract
Autonomic imbalance is an important characteristic of patients after myocardial infarction (MI) and adversely contributes to post-MI cardiac remodeling and ventricular arrhythmias (VAs). A previous study proved that optogenetic modulation could precisely inhibit cardiac sympathetic hyperactivity and prevent acute ischemia-induced VAs. Here, a wireless self-powered optogenetic modulation system is introduced, which achieves long-term precise cardiac neuromodulation in ambulatory canines. The wireless self-powered optical system based on a triboelectric nanogenerator is powered by energy harvested from body motion and realized the effective optical illumination that is required for optogenetic neuromodulation (ON). It is further demonstrated that long-term ON significantly mitigates MI-induced sympathetic remodeling and hyperactivity, and improves a variety of clinically relevant outcomes such as improves ventricular dysfunction, reduces infarct size, increases electrophysiological stability, and reduces susceptibility to VAs. These novel insights suggest that wireless ON holds translational potential for the clinical treatment of arrhythmia and other cardiovascular diseases related to sympathetic hyperactivity. Moreover, this innovative self-powered optical system may provide an opportunity to develop implantable/wearable and self-controllable devices for long-term optogenetic therapy.
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Affiliation(s)
- Liping Zhou
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Yuanzheng Zhang
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
- Hubei Yangtze Memory LaboratoriesKey Laboratory of Artificial Micro, and Nano‐structures of Ministry of EducationSchool of Physics and TechnologyWuhan UniversityWuhan430072P. R. China
| | - Gang Cao
- Biomedical CenterCollege of Veterinary MedicineHuazhong Agricultural UniversityWuhan430072P. R. China
| | - Chi Zhang
- Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan430072P. R. China
| | - Chen Zheng
- Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan430072P. R. China
| | - Guannan Meng
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Yanqiu Lai
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Zhen Zhou
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Zhihao Liu
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Zihan Liu
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Fuding Guo
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Xin Dong
- Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan430072P. R. China
| | - Zhizhuo Liang
- Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan430072P. R. China
| | - Yueyi Wang
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Shishang Guo
- Hubei Yangtze Memory LaboratoriesKey Laboratory of Artificial Micro, and Nano‐structures of Ministry of EducationSchool of Physics and TechnologyWuhan UniversityWuhan430072P. R. China
| | - Xiaoya Zhou
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Hong Jiang
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
| | - Lilei Yu
- Department of CardiologyRenmin Hospital of Wuhan UniversityHubei Key Laboratory of Autonomic Nervous System ModulationCardiac Autonomic Nervous System Research Center of Wuhan UniversityTaikang Center for Life and Medical SciencesWuhan UniversityCardiovascular Research InstituteWuhan UniversityHubei Key Laboratory of CardiologyWuhan430060P. R. China
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35
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Liang Q, Shen Z, Sun X, Yu D, Liu K, Mugo SM, Chen W, Wang D, Zhang Q. Electron Conductive and Transparent Hydrogels for Recording Brain Neural Signals and Neuromodulation. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2211159. [PMID: 36563409 DOI: 10.1002/adma.202211159] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Recording brain neural signals and optogenetic neuromodulations open frontiers in decoding brain neural information and neurodegenerative disease therapeutics. Conventional implantable probes suffer from modulus mismatch with biological tissues and an irreconcilable tradeoff between transparency and electron conductivity. Herein, a strategy is proposed to address these tradeoffs, which generates conductive and transparent hydrogels with polypyrrole-decorated microgels as cross-linkers. The optical transparency of the electrodes can be attributed to the special structures that allow light waves to bypass the microgel particles and minimize their interaction. Demonstrated by probing the hippocampus of rat brains, the biomimetic electrode shows a prolonged capacity for simultaneous optogenetic neuromodulation and recording of brain neural signals. More importantly, an intriguing brain-machine interaction is realized, which involves signal input to the brain, brain neural signal generation, and controlling limb behaviors. This breakthrough work represents a significant scientific advancement toward decoding brain neural information and developing neurodegenerative disease therapies.
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Affiliation(s)
- Quanduo Liang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, P. R. China
| | - Zhenzhen Shen
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, P. R. China
| | - Xiguang Sun
- Department of Hand Surgery, Public Research Platform, The First Hospital of Jilin University, Changchun, 130061, P. R. China
| | - Dehai Yu
- Department of Hand Surgery, Public Research Platform, The First Hospital of Jilin University, Changchun, 130061, P. R. China
| | - Kewei Liu
- State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, P. R. China
| | - Samuel M Mugo
- Department of Physical Sciences, MacEwan University, Edmonton, ABT5J4S2, Canada
| | - Wei Chen
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, P. R. China
| | - Dong Wang
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China
| | - Qiang Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, P. R. China
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36
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He LN, Chen S, Yang Q, Wu Z, Lao ZK, Tang CF, Song JJ, Liu XD, Lu J, Xu XH, Chen JJ, Xu TL, Sun S, Xu NJ. EphB2-dependent prefrontal cortex activation promotes long-range social approach and partner responsiveness. Proc Natl Acad Sci U S A 2023; 120:e2219952120. [PMID: 36802416 PMCID: PMC9992767 DOI: 10.1073/pnas.2219952120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/15/2023] [Indexed: 02/23/2023] Open
Abstract
Social behavior starts with dynamic approach prior to the final consummation. The flexible processes ensure mutual feedback across social brains to transmit signals. However, how the brain responds to the initial social stimuli precisely to elicit timed behaviors remains elusive. Here, by using real-time calcium recording, we identify the abnormalities of EphB2 mutant with autism-associated Q858X mutation in processing long-range approach and accurate activity of prefrontal cortex (dmPFC). The EphB2-dependent dmPFC activation precedes the behavioral onset and is actively associated with subsequent social action with the partner. Furthermore, we find that partner dmPFC activity is responsive coordinately to the approaching WT mouse rather than Q858X mutant mouse, and the social defects caused by the mutation are rescued by synchro-optogenetic activation in dmPFC of paired social partners. These results thus reveal that EphB2 sustains neuronal activation in the dmPFC that is essential for the proactive modulation of social approach to initial social interaction.
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Affiliation(s)
- Li-Na He
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
- Songjiang Institute, Songjiang District Central Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai201699, China
| | - Si Chen
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
- Songjiang Institute, Songjiang District Central Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai201699, China
| | - Qi Yang
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
- Songjiang Institute, Songjiang District Central Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai201699, China
| | - Zheng Wu
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
| | - Zheng-Kai Lao
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
- Songjiang Institute, Songjiang District Central Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai201699, China
| | - Chang-Fei Tang
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
- Songjiang Institute, Songjiang District Central Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai201699, China
| | - Jiao-Jiao Song
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
| | - Xian-Dong Liu
- Department of Neurology and Institute of Neurology, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai200025, China
| | - Jiangteng Lu
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
- Songjiang Institute, Songjiang District Central Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai201699, China
| | - Xiao-Hong Xu
- Institute of Neuroscience and State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai200031, China
| | - Jin-Jin Chen
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
| | - Tian-Le Xu
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
- Songjiang Institute, Songjiang District Central Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai201699, China
| | - Suya Sun
- Department of Neurology and Institute of Neurology, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai200025, China
| | - Nan-Jie Xu
- Research Center of Translational Medicine, Shanghai Children’s Hospital, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai200062, China
- Songjiang Institute, Songjiang District Central Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai201699, China
- Shanghai Key Laboratory of Reproductive Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai200025, China
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai200025, China
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37
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Liu Y, Chen X, Liang Y, Song H, Yu P, Guan S, Liu Z, Yang A, Tang M, Zhou Y, Zheng Y, Yang Z, Jiang L, He J, Tan N, Xu B, Lin X. Ferromagnetic Flexible Electronics for Brain-Wide Selective Neural Recording. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2208251. [PMID: 36451587 DOI: 10.1002/adma.202208251] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/09/2022] [Indexed: 06/17/2023]
Abstract
Flexible microelectronics capable of straightforward implantation, remotely controlled navigation, and stable long-term recording hold great promise in diverse medical applications, particularly in deciphering complex functions of neural circuits in the brain. Existing flexible electronics, however, are often limited in bending and buckling during implantation, and unable to access a large brain region. Here, an injectable class of electronics with stable recording, omnidirectional steering, and precise navigating capabilities based on magnetic actuation is presented. After simple transcriptional injection, the rigid coatings are biodegraded quickly and the bundles of magnetic-nanoparticles-coated microelectrodes become separated, ultra-flexible, and magnetic actuated for further minimally invasive three-dimensional interpenetration in the brain. As proof of concept, this paradigm-shifting approach is demonstrated for selective and multiplexed neural activities recording across distant regions in the deep rodent brains. Coupling with optogenetic neural stimulation, the unique capabilities of this platform in electrophysiological readouts of projection dynamics in vivo are also demonstrated. The ability of these miniaturized, remotely controllable, and biocompatible ferromagnetic flexible electronics to afford minimally invasive manipulations in the soft tissues of the mammalian brain foreshadows applications in other organ systems, with great potential for broad utility in biomedical science and engineering.
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Affiliation(s)
- Yuxin Liu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Xi Chen
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, 999077, China
| | - Ye Liang
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, 999077, China
| | - Hao Song
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Peng Yu
- School of Computer Science and Engineering, Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China
| | - Shunmin Guan
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Zijian Liu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Anqi Yang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Minghui Tang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Yajing Zhou
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Ying Zheng
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Zhilun Yang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Lelun Jiang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Jufang He
- Department of Neuroscience, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, 999077, China
| | - Ning Tan
- School of Computer Science and Engineering, Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China
| | - Bingzhe Xu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Xudong Lin
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
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38
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Kim Y, Yang Y, Zhang X, Li Z, Vázquez-Guardado A, Park I, Wang J, Efimov AI, Dou Z, Wang Y, Park J, Luan H, Ni X, Kim YS, Baek J, Park JJ, Xie Z, Zhao H, Gazzola M, Rogers JA, Bashir R. Remote control of muscle-driven miniature robots with battery-free wireless optoelectronics. Sci Robot 2023; 8:eadd1053. [PMID: 36652505 DOI: 10.1126/scirobotics.add1053] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Bioengineering approaches that combine living cellular components with three-dimensional scaffolds to generate motion can be used to develop a new generation of miniature robots. Integrating on-board electronics and remote control in these biological machines will enable various applications across engineering, biology, and medicine. Here, we present hybrid bioelectronic robots equipped with battery-free and microinorganic light-emitting diodes for wireless control and real-time communication. Centimeter-scale walking robots were computationally designed and optimized to host on-board optoelectronics with independent stimulation of multiple optogenetic skeletal muscles, achieving remote command of walking, turning, plowing, and transport functions both at individual and collective levels. This work paves the way toward a class of biohybrid machines able to combine biological actuation and sensing with on-board computing.
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Affiliation(s)
- Yongdeok Kim
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,Nick J. Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Yiyuan Yang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Xiaotian Zhang
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Zhengwei Li
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.,Department of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.,Department of Biomedical Sciences, University of Houston, Houston, TX 77204, USA
| | | | - Insu Park
- Nick J. Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Jiaojiao Wang
- Nick J. Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Andrew I Efimov
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Zhi Dou
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Yue Wang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Junehu Park
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Haiwen Luan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Xinchen Ni
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Yun Seong Kim
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Janice Baek
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,Nick J. Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Joshua Jaehyung Park
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Zhaoqian Xie
- State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, DUT-BSU Joint Institute, Dalian University of Technology, Dalian 116024, China
| | - Hangbo Zhao
- Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Mattia Gazzola
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - John A Rogers
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.,Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Rashid Bashir
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,Nick J. Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.,Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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39
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Geng Y, Li Z, Zhu J, Du C, Yuan F, Cai X, Ali A, Yang J, Tang C, Cong Z, Ma C. Advances in Optogenetics Applications for Central Nervous System Injuries. J Neurotrauma 2023. [PMID: 36305381 DOI: 10.1089/neu.2022.0290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Injuries to the central nervous system (CNS) often lead to severe neurological dysfunction and even death. However, there are still no effective measures to improve functional recovery following CNS injuries. Optogenetics, an ideal method to modulate neural activity, has shown various advantages in controlling neural circuits, promoting neural remapping, and improving cell survival. In particular, the emerging technique of optogenetics has exhibited promising therapeutic methods for CNS injuries. In this review, we introduce the light-sensitive proteins and light stimulation system that are important components of optogenetic technology in detail and summarize the development trends. In addition, we construct a comprehensive picture of the current application of optogenetics in CNS injuries and highlight recent advances for the treatment and functional recovery of neurological deficits. Finally, we discuss the therapeutic challenges and prospective uses of optogenetics therapy by photostimulation/photoinhibition modalities that would be suitable for clinical applications.
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Affiliation(s)
- Yuanming Geng
- Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China
| | - Zhenxing Li
- Department of Neurosurgery, Jinling Hospital, Nanjing, China.,Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Junhao Zhu
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Chaonan Du
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Feng Yuan
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xiangming Cai
- School of Medicine, Southeast University, Nanjing, China
| | - Alleyar Ali
- Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China
| | - Jin Yang
- Department of Neurosurgery, Jinling Hospital, Nanjing, China
| | - Chao Tang
- Department of Neurosurgery, Jinling Hospital, Nanjing, China
| | - Zixiang Cong
- Department of Neurosurgery, Jinling Hospital, Nanjing, China
| | - Chiyuan Ma
- Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China.,Department of Neurosurgery, Jinling Hospital, Nanjing, China.,Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.,School of Medicine, Southeast University, Nanjing, China.,Department of Neurosurgery, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, China
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40
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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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Stretchable Surface Electrode Arrays Using an Alginate/PEDOT:PSS-Based Conductive Hydrogel for Conformal Brain Interfacing. Polymers (Basel) 2022; 15:polym15010084. [PMID: 36616434 PMCID: PMC9824691 DOI: 10.3390/polym15010084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/01/2022] [Accepted: 12/19/2022] [Indexed: 12/28/2022] Open
Abstract
An electrocorticogram (ECoG) is the electrical activity obtainable from the cerebral cortex and an informative source with considerable potential for future advanced applications in various brain-interfacing technologies. Considerable effort has been devoted to developing biocompatible, conformal, soft, and conductive interfacial materials for bridging devices and brain tissue; however, the implementation of brain-adaptive materials with optimized electrical and mechanical characteristics remains challenging. Herein, we present surface electrode arrays using the soft tough ionic conductive hydrogel (STICH). The newly proposed STICH features brain-adaptive softness with Young's modulus of ~9.46 kPa, which is sufficient to form a conformal interface with the cortex. Additionally, the STICH has high toughness of ~36.85 kJ/mm3, highlighting its robustness for maintaining the solid structure during interfacing with wet brain tissue. The stretchable metal electrodes with a wavy pattern printed on the elastomer were coated with the STICH as an interfacial layer, resulting in an improvement of the impedance from 60 kΩ to 10 kΩ at 1 kHz after coating. Acute in vivo experiments for ECoG monitoring were performed in anesthetized rodents, thereby successfully realizing conformal interfacing to the animal's cortex and the sensitive recording of electrical activity using the STICH-coated electrodes, which exhibited a higher visual-evoked potential (VEP) amplitude than that of the control device.
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Schwartz L, Levy J, Endevelt-Shapira Y, Djalovski A, Hayut O, Dumas G, Feldman R. Technologically-assisted communication attenuates inter-brain synchrony. Neuroimage 2022; 264:119677. [PMID: 36244598 DOI: 10.1016/j.neuroimage.2022.119677] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 10/06/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022] Open
Abstract
The transition to technologically-assisted communication has permeated all facets of human social life; yet, its impact on the social brain is still unknown and the effects may be particularly intense during periods of developmental transitions. Applying a two-brain perspective, the current preregistered study utilized hyperscanning EEG to measure brain-to-brain synchrony in 62 mother-child pairs at the transition to adolescence (child age; M = 12.26, range 10-14) during live face-to-face interaction versus technologically-assisted remote communication. The live interaction elicited 9 significant cross-brain links between densely inter-connected frontal and temporal areas in the beta range [14-30 Hz]. Mother's right frontal region connected with the child's right and left frontal, temporal, and central regions, suggesting its regulatory role in organizing the two-brain dynamics. In contrast, the remote interaction elicited only 1 significant cross-brain-cross-hemisphere link, attenuating the robust right-to-right-brain connectivity during live social moments that communicates socio-affective signals. Furthermore, while the level of social behavior was comparable between the two interactions, brain-behavior associations emerged only during the live exchange. Mother-child right temporal-temporal synchrony linked with moments of shared gaze and the degree of child engagement and empathic behavior correlated with right frontal-frontal synchrony. Our findings indicate that human co-presence is underpinned by specific neurobiological processes that should be studied in depth. Much further research is needed to tease apart whether the "Zoom fatigue" experienced during technological communication may stem, in part, from overload on more limited inter-brain connections and to address the potential cost of social technology for brain maturation, particularly among youth.
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Affiliation(s)
- Linoy Schwartz
- Center for Developmental Social Neuroscience, Reichman University, Herzliya, Israel
| | - Jonathan Levy
- Center for Developmental Social Neuroscience, Reichman University, Herzliya, Israel; Department of Neuroscience and Biomedical Engineering, Aalto University, Finland
| | | | - Amir Djalovski
- Center for Developmental Social Neuroscience, Reichman University, Herzliya, Israel
| | - Olga Hayut
- Center for Developmental Social Neuroscience, Reichman University, Herzliya, Israel
| | - Guillaume Dumas
- Precision Psychiatry and Social Physiology laboratory, CHU Sainte-Justine Research Center, Department of Psychiatry, Université de Montréal, Montreal, QC, Canada
| | - Ruth Feldman
- Center for Developmental Social Neuroscience, Reichman University, Herzliya, Israel; Child Study Center, Yale University, United States.
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Wang H, Zhu C, Jin W, Tang J, Wu Z, Chen K, Hong H. A Linear-Power-Regulated Wireless Power Transfer Method for Decreasing the Heat Dissipation of Fully Implantable Microsystems. SENSORS (BASEL, SWITZERLAND) 2022; 22:8765. [PMID: 36433362 PMCID: PMC9697315 DOI: 10.3390/s22228765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/01/2022] [Accepted: 11/09/2022] [Indexed: 06/16/2023]
Abstract
Magnetic coupling resonance wireless power transfer can efficiently provide energy to intracranial implants under safety constraints, and is the main way to power fully implantable brain-computer interface systems. However, the existing maximum efficiency tracking wireless power transfer system is aimed at optimizing the overall system efficiency, but the efficiency of the secondary side is not optimized. Moreover, the parameters of the transmitter and the receiver change nonlinearly in the power control process, and the efficiency tracking mainly depends on wireless communication. The heat dissipation caused by the unoptimized receiver efficiency and the wireless communication delay in power control will inevitably affect neural activity and even cause damage, thus affecting the results of neuroscience research. Here, a linear-power-regulated wireless power transfer method is proposed to realize the linear change of the received power regulation and optimize the receiver efficiency, and a miniaturized linear-power-regulated wireless power transfer system is developed. With the received power control, the efficiency of the receiver is increased to more than 80%, which can significantly reduce the heating of fully implantable microsystems. The linear change of the received power regulation makes the reflected impedance in the transmitter change linearly, which will help to reduce the dependence on wireless communication and improve biological safety in received power control applications.
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Sang M, Kim K, Shin J, Yu KJ. Ultra-Thin Flexible Encapsulating Materials for Soft Bio-Integrated Electronics. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2202980. [PMID: 36031395 PMCID: PMC9596833 DOI: 10.1002/advs.202202980] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 07/22/2022] [Indexed: 05/11/2023]
Abstract
Recently, bioelectronic devices extensively researched and developed through the convergence of flexible biocompatible materials and electronics design that enables more precise diagnostics and therapeutics in human health care and opens up the potential to expand into various fields, such as clinical medicine and biomedical research. To establish an accurate and stable bidirectional bio-interface, protection against the external environment and high mechanical deformation is essential for wearable bioelectronic devices. In the case of implantable bioelectronics, special encapsulation materials and optimized mechanical designs and configurations that provide electronic stability and functionality are required for accommodating various organ properties, lifespans, and functions in the biofluid environment. Here, this study introduces recent developments of ultra-thin encapsulations with novel materials that can preserve or even improve the electrical performance of wearable and implantable bio-integrated electronics by supporting safety and stability for protection from destruction and contamination as well as optimizing the use of bioelectronic systems in physiological environments. In addition, a summary of the materials, methods, and characteristics of the most widely used encapsulation technologies is introduced, thereby providing a strategic selection of appropriate choices of recently developed flexible bioelectronics.
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Affiliation(s)
- Mingyu Sang
- School of Electrical and Electronic EngineeringYonsei University50 Yonsei‐ro, SeodaemunguSeoul03722Republic of Korea
| | - Kyubeen Kim
- School of Electrical and Electronic EngineeringYonsei University50 Yonsei‐ro, SeodaemunguSeoul03722Republic of Korea
| | - Jongwoon Shin
- School of Electrical and Electronic EngineeringYonsei University50 Yonsei‐ro, SeodaemunguSeoul03722Republic of Korea
| | - Ki Jun Yu
- School of Electrical and Electronic EngineeringYonsei University50 Yonsei‐ro, SeodaemunguSeoul03722Republic of Korea
- YU‐KIST InstituteYonsei University50 Yonsei‐ro, SeodaemunguSeoul03722Republic of Korea
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Fernandez-Ruiz A, Oliva A, Chang H. High-resolution optogenetics in space and time. Trends Neurosci 2022; 45:854-864. [PMID: 36192264 DOI: 10.1016/j.tins.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 10/31/2022]
Abstract
To understand the neural mechanisms of behavior, it is necessary to both monitor and perturb the activity of ensembles of neurons with high specificity. While neural ensemble recordings have been available for decades, progress in high-resolution manipulation techniques has lagged behind. Optogenetics has enabled the manipulation of genetically defined cell types in behaving animals, and recent developments, including multipoint nanofabricated light sources, provide spatiotemporal resolution on a par with that of physiological recordings. Here we review current advances in optogenetic methods for cellular-resolution stimulation and intervention, as well as their integration with real-time neural recordings for closed-loop experimentation. We discuss how these approaches open the door to new kinds of experiments aimed at dissecting the role of specific neural patterns and discrete cellular populations in orchestrating the activity of brain circuits that support behavior and cognition.
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Affiliation(s)
| | - Azahara Oliva
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA
| | - Hongyu Chang
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA
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Wireless multi-lateral optofluidic microsystems for real-time programmable optogenetics and photopharmacology. Nat Commun 2022; 13:5571. [PMID: 36137999 PMCID: PMC9500026 DOI: 10.1038/s41467-022-32947-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 08/24/2022] [Indexed: 11/27/2022] Open
Abstract
In vivo optogenetics and photopharmacology are two techniques for controlling neuronal activity that have immense potential in neuroscience research. Their applications in tether-free groups of animals have been limited in part due to tools availability. Here, we present a wireless, battery-free, programable multilateral optofluidic platform with user-selected modalities for optogenetics, pharmacology and photopharmacology. This system features mechanically compliant microfluidic and electronic interconnects, capabilities for dynamic control over the rates of drug delivery and real-time programmability, simultaneously for up to 256 separate devices in a single cage environment. Our behavioral experiments demonstrate control of motor behaviors in grouped mice through in vivo optogenetics with co-located gene delivery and controlled photolysis of caged glutamate. These optofluidic systems may expand the scope of wireless techniques to study neural processing in animal models. Wireless delivery of both light and pharmacological agents is important for optogenetic and other mechanistic experiments in the brain. Here the authors present a wireless real-time programmable optofluidic platform that enables optogenetics and photopharmacology experiments that require real-time precise control of light and drug delivery.
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Li Y, Wu G, Song G, Lu SH, Wang Z, Sun H, Zhang Y, Wang X. Soft, Pressure-Tolerant, Flexible Electronic Sensors for Sensing under Harsh Environments. ACS Sens 2022; 7:2400-2409. [PMID: 35952377 DOI: 10.1021/acssensors.2c01059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Energy-efficient, miniaturized electronic ocean sensors for monitoring and recording various environmental parameters remain a challenge because conventional ocean sensors require high-pressure chambers and seals to survive the large hydrostatic pressure and harsh ocean environment, which usually entail a high-power supply and large size of the sensor system. Herein, we introduce soft, pressure-tolerant, flexible electronic sensors that can operate under large hydrostatic pressure and salinity environments, thereby eliminating the need for pressure chambers and reducing the power consumption and sensor size. Using resistive temperature and conductivity (salinity) sensors as an example for demonstration, the soft sensors are made of lithographically patterned metal thin films (100 nm) encapsulated with soft oil-infused elastomers and tested in a customized pressure vessel with well-controlled pressure and temperature conditions. The resistance of the temperature and pressure sensors increases linearly with a temperature range of 5-38 °C and salinity levels of 30-40 Practical Salinity Unit (PSU), respectively, relevant for this application. Pressure (up to 15 MPa) has shown a negligible effect on the performance of the temperature and salinity sensors, demonstrating their large pressure-tolerance capability. In addition, both temperature and salinity sensors have exhibited excellent cyclic loading behaviors with negligible hysteresis. Encapsulated with our developed soft oil-infused elastomer (PDMS, poly(dimethylsiloxane)), the sensor has shown excellent performance under a 35 PSU salinity water environment for more than 7 months. The soft, pressure-tolerant and noninvasive electronic sensors reported here are suitable for integration with many platforms including animal tags, profiling floats, diving equipment, and physiological monitoring.
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Affiliation(s)
- Yi Li
- Department of Materials Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Guangfu Wu
- Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.,Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Gyuho Song
- Department of Materials Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Shao-Hao Lu
- Department of Materials Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Zizheng Wang
- Department of Materials Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, United States
| | - He Sun
- Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.,Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Yi Zhang
- Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.,Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Xueju Wang
- Department of Materials Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.,Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States
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Affiliation(s)
- Alicja Puścian
- Nencki-EMBL Partnership for Neural Plasticity and Brain Disorders – BRAINCITY, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur 3 Street, 02-093 Warsaw, Poland
| | - Ewelina Knapska
- Nencki-EMBL Partnership for Neural Plasticity and Brain Disorders – BRAINCITY, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur 3 Street, 02-093 Warsaw, Poland
- Corresponding author
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Orthogonal Control of Neuronal Circuits and Behavior Using Photopharmacology. J Mol Neurosci 2022; 72:1433-1442. [PMID: 35737209 DOI: 10.1007/s12031-022-02037-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/04/2022] [Indexed: 10/17/2022]
Abstract
Over the last decades, photopharmacology has gone far beyond its proof-of-concept stage to become a bona fide approach to study neural systems in vivo. Indeed, photopharmacological control has expanded over a wide range of endogenous targets, such as receptors, ion channels, transporters, kinases, lipids, and DNA transcription processes. In this review, we provide an overview of the recent progresses in the in vivo photopharmacological control of neuronal circuits and behavior. In particular, the use of small aquatic animals for the in vivo screening of photopharmacological compounds, the recent advances in optical modulation of complex behaviors in mice, and the development of adjacent techniques for light and drug delivery in vivo are described.
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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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