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Yang Y, Wu M, Wegener AJ, Vázquez-Guardado A, Efimov AI, Lie F, Wang T, Ma Y, Banks A, Li Z, Xie Z, Huang Y, Good CH, Kozorovitskiy Y, Rogers JA. Preparation and use of wireless reprogrammable multilateral optogenetic devices for behavioral neuroscience. Nat Protoc 2022; 17:1073-1096. [PMID: 35173306 PMCID: PMC9311268 DOI: 10.1038/s41596-021-00672-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 12/01/2021] [Indexed: 11/08/2022]
Abstract
Wireless battery-free optogenetic devices enable behavioral neuroscience studies in groups of animals with minimal interference to natural behavior. Real-time independent control of optogenetic stimulation through near-field communication dramatically expands the realm of applications of these devices in broad contexts of neuroscience research. Dissemination of these tools with advanced functionalities to the neuroscience community requires protocols for device manufacturing and experimental implementation. This protocol describes detailed procedures for fabrication, encapsulation and implantation of recently developed advanced wireless devices in head- and back-mounted forms. In addition, procedures for standard implementation of experimental systems in mice are provided. This protocol aims to facilitate the application of wireless optogenetic devices in advanced optogenetic experiments involving groups of freely moving rodents and complex environmental designs. The entire protocol lasts ~3-5 weeks.
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Affiliation(s)
- Yiyuan Yang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
| | - Mingzheng Wu
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
| | - Amy J Wegener
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA
| | - Abraham Vázquez-Guardado
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Andrew I Efimov
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
| | | | - Taoyi Wang
- Department of Precision Instrument, Tsinghua University, Beijing, China
| | - Yuhang Ma
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Anthony Banks
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Neurolux Inc., Evanston, IL, USA
- Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Zhengwei Li
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
| | - Zhaoqian Xie
- State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian, China
- Department of Engineering Mechanics, Dalian University of Technology, Dalian, China
- Ningbo Institute of Dalian University of Technology, Ningbo, China
| | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Cameron H Good
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA.
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA.
| | - Yevgenia Kozorovitskiy
- Department of Neurobiology, Northwestern University, Evanston, IL, USA.
- Chemistry of Life Processes Institutes, Northwestern University, Evanston, IL, USA.
| | - John A Rogers
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
- Neurolux Inc., Evanston, IL, USA.
- Feinberg School of Medicine, Northwestern University, Evanston, IL, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Neurological Surgery, Northwestern University, Evanston, IL, USA.
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
- Department of Computer Science, Northwestern University, Evanston, IL, USA.
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Ni X, Ouyang W, Jeong H, Kim JT, Tzaveils A, Mirzazadeh A, Wu C, Lee JY, Keller M, Mummidisetty CK, Patel M, Shawen N, Huang J, Chen H, Ravi S, Chang JK, Lee K, Wu Y, Lie F, Kang YJ, Kim JU, Chamorro LP, Banks AR, Bharat A, Jayaraman A, Xu S, Rogers JA. Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients. Proc Natl Acad Sci U S A 2021; 118:e2026610118. [PMID: 33893178 PMCID: PMC8126790 DOI: 10.1073/pnas.2026610118] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 03/22/2021] [Indexed: 11/18/2022] Open
Abstract
Capabilities in continuous monitoring of key physiological parameters of disease have never been more important than in the context of the global COVID-19 pandemic. Soft, skin-mounted electronics that incorporate high-bandwidth, miniaturized motion sensors enable digital, wireless measurements of mechanoacoustic (MA) signatures of both core vital signs (heart rate, respiratory rate, and temperature) and underexplored biomarkers (coughing count) with high fidelity and immunity to ambient noises. This paper summarizes an effort that integrates such MA sensors with a cloud data infrastructure and a set of analytics approaches based on digital filtering and convolutional neural networks for monitoring of COVID-19 infections in sick and healthy individuals in the hospital and the home. Unique features are in quantitative measurements of coughing and other vocal events, as indicators of both disease and infectiousness. Systematic imaging studies demonstrate correlations between the time and intensity of coughing, speaking, and laughing and the total droplet production, as an approximate indicator of the probability for disease spread. The sensors, deployed on COVID-19 patients along with healthy controls in both inpatient and home settings, record coughing frequency and intensity continuously, along with a collection of other biometrics. The results indicate a decaying trend of coughing frequency and intensity through the course of disease recovery, but with wide variations across patient populations. The methodology creates opportunities to study patterns in biometrics across individuals and among different demographic groups.
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Affiliation(s)
- Xiaoyue Ni
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708
| | - Wei Ouyang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
| | - Hyoyoung Jeong
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
| | - Jin-Tae Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
| | - Andreas Tzaveils
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208
- Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Ali Mirzazadeh
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30332
| | - Changsheng Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
| | | | | | - Chaithanya K Mummidisetty
- Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Center for Bionic Medicine, Shirley Ryan AbilityLab, Chicago, IL 60611
| | - Manish Patel
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
- College of Medicine, University of Illinois at Chicago, Chicago, IL 60612
| | - Nicholas Shawen
- Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Center for Bionic Medicine, Shirley Ryan AbilityLab, Chicago, IL 60611
| | - Joy Huang
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Hope Chen
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Sowmya Ravi
- Division of Thoracic Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Jan-Kai Chang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
- Wearifi Inc., Evanston, IL 60201
| | - KunHyuck Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Yixin Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
| | - Ferrona Lie
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
| | - Youn J Kang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
| | - Jong Uk Kim
- School of Chemical Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Leonardo P Chamorro
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Champaign, IL 61801
| | - Anthony R Banks
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208
| | - Ankit Bharat
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Arun Jayaraman
- Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Center for Bionic Medicine, Shirley Ryan AbilityLab, Chicago, IL 60611
| | - Shuai Xu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208;
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208;
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
- Department of Chemistry, Northwestern University, Evanston, IL 60208
- Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208
- Department of Neurological Surgery, Northwestern University, Evanston, IL 60208
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Yu B, Zhao S, Hu D, Ambegaonakr BM, DYSIS-China Study Investigators, Jia Er BA, Guiwen C, Buxing C, Hong C, Jin C, Jing C, Liefeng C, Min C, Qiong C, Shaoliang C, Tielong C, Xiaofei C, Xiaohong C, You C, Guoli C, Mei C, Hongliang C, Qin C, Shiwei C, Yong C, Shudong D, Henghua D, Xiaomei D, Yirong D, Xiaoyan D, Birong D, Yumei D, Yugang D, Ping D, Lei D, Limei F, Ningyuan F, Lixia F, Lie F, Jun G, GeWeihong, Hongmin G, Minxia G, Qinghua H, Fengchang H, Dayi H, Lingzhi H, Xueqiang H, Yaojun H, Yiming H, Zhiping H, Fei H, Qi H, Dejia H, Gewen H, Hongman H, Liming H, Qiong H, Ruowen H, Taifu H, Bin J, Kai J, Hui J, Huigen J, Jinsong K, Bao L, Chengjiang L, Hongjuan L, Jun(Xinjiang) L, Jun(Jiangsu) L, Nanfang L, Qifu L, Qiang L, Xin L, Xueyou L, Yanbing L, Yanping L, Yansheng L, Yong L, Yuling L, Zhanquan L, Zhengfang L, Li L, Yongxue L, Zerong L, Yuhua L, Fan L, Hong L, Hui L, Minling L, Qiang L, Qingsong L, Shaokui L, Weidong L, Xueping L, Xinjian L, Benyan L, Shaonian L, Suxin L, Hong L, LvYun, Aiqun M, Jianhua M, Qiang M, Yan M, Changsheng M, Yide M, Yiming M, NieXiaoli, NiuXiaoyuan, Hongtao P, Mingkang P, Qiaoqing P, Huifen Q, Qiumin Q, Lijie Q, Liqun R, Jingshan S, Qiang S, Jing H, Xiuyun S, Yongquan S, Liangyi S, Zhi S, Zhiyuan S, Yufeng S, Chunyan T, TengXiaochun, Haoming T, Wenhua T, Qinwei T, TuQiuyun, Keying W, Aihong W, Chaohui W, Chunning W, Dezhao W, Guixia W, Hanqiao W, Jianan W, Jianjun W, Lan W, Xiaoming W, Yaping W, Yangwei W, Yongjun W, Meifang W, Yidong W, Hongyun W, Chun W, Dongmei W, Jiang W, Jun W, Xiaolin W, Zonggui W, XiGuangxia, Yi X, Qian X, Xiaoping X, Yulong X, Anding X, XueYuanming, Chuanzhu Y, Tao Y, Xiaowei Y, Gangyi Y, Jian Y, Wangpingm Y, Xiaosu Y, Xinchun Y, Yifang Y, Yu Y, Mingyu Y, Min Y, Ping Y, Bo Y, Jiangyi Y, Jinming Y, Yan Y, Ling Z, Longyi Z, Xiaoyun Z, Baorong Z, Bei Z, Chaoxin Z, Xuelian Z, Dadong Z, Dongping Z, Fuchun Z, Hong Z, Huifang Z, Liping Z, Liyang Z, Rufu Z, Saidan Z, Weijuan Z, Dong Z, Gang Z, Shuiping Z, Xiuxin Z, Qiangsun Z, Yang Z, Xiaohui Z, Yali Z, Yujie Z, Yi Z, Yulan Z, Xiangping Z. Gender differences in lipid goal attainment among Chinese patients with coronary heart disease: insights from the DYSlipidemia International Study of China. Eur Heart J Suppl 2015. [DOI: 10.1093/eurheartj/suv018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Gresnigt-Bekker COVM, de Jongh A, Vo G, Lie F, Oosterink-Wubbe FMD, van Rood Y. [Satisfaction about physical appearance and teeth. Results of a nationwide study]. Ned Tijdschr Tandheelkd 2008; 115:369-373. [PMID: 18686562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
In a study involving a group of 907 randomly selected Dutch individuals, satisfaction about one's physical appearance and satisfaction about the appearance of one's teeth were assessed. Furthermore, the relationship between body esteem and happiness was explored. Three quarters of the respondents were satisfied about their physical appearance, while 70% was satisfied about the appearance of their teeth. Women and people with a non-Dutch background were significantly less likely to be satisfied about their physical appearance than men and those with a Dutch background. Individuals 30 years old and younger were more likely to be satisfied about their teeth than those who were older. Almost two third of the respondents (64%) reported that the appearance of their teeth contributed positively to their happiness. Women and people with a non-Dutch background were most likely to indicate that the appearance of their teeth contributed to their happiness. Satisfaction about general physical appearance and appearance of the teeth were significantly associated with happiness. Prospective studies are needed to examine to what extent esthetically motivated dental treatments make people happy and enhance their general well-being.
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Affiliation(s)
- C O V M Gresnigt-Bekker
- Uit de sectie Sociale Tandheelkunde en Voorlichtingskunde van het Academisch Centrum Tandheellkunde Amsterdam (ACTA).
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