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Jung T, Zeng N, Fabbri JD, Eichler G, Li Z, Willeke K, Wingel KE, Dubey A, Huq R, Sharma M, Hu Y, Ramakrishnan G, Tien K, Mantovani P, Parihar A, Yin H, Oswalt D, Misdorp A, Uguz I, Shinn T, Rodriguez GJ, Nealley C, Gonzales I, Roukes M, Knecht J, Yoshor D, Canoll P, Spinazzi E, Carloni LP, Pesaran B, Patel S, Youngerman B, Cotton RJ, Tolias A, Shepard KL. Stable, chronic in-vivo recordings from a fully wireless subdural-contained 65,536-electrode brain-computer interface device. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.17.594333. [PMID: 38798494 PMCID: PMC11118429 DOI: 10.1101/2024.05.17.594333] [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
Minimally invasive, high-bandwidth brain-computer-interface (BCI) devices can revolutionize human applications. With orders-of-magnitude improvements in volumetric efficiency over other BCI technologies, we developed a 50-μm-thick, mechanically flexible micro-electrocorticography (μECoG) BCI, integrating 256×256 electrodes, signal processing, data telemetry, and wireless powering on a single complementary metal-oxide-semiconductor (CMOS) substrate containing 65,536 recording and 16,384 stimulation channels, from which we can simultaneously record up to 1024 channels at a given time. Fully implanted below the dura, our chip is wirelessly powered, communicating bi-directionally with an external relay station outside the body. We demonstrated chronic, reliable recordings for up to two weeks in pigs and up to two months in behaving non-human primates from somatosensory, motor, and visual cortices, decoding brain signals at high spatiotemporal resolution.
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Greene JJ, Gorelik P, Mazor O, Guarin DL, Malk R, Hadlock T. Freeing the Animal Model: A Modular, Wirelessly Powered, Implantable Electronic Platform. Plast Reconstr Surg 2024; 153:568e-572e. [PMID: 37184506 DOI: 10.1097/prs.0000000000010676] [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: 05/16/2023]
Abstract
SUMMARY Fully implantable electronic devices in freely roaming animal models are useful in biomedical research, but their development is prohibitively resource intensive for many laboratories. The advent of miniaturized microcontrollers with onboard wireless data exchange capabilities has enabled cost-efficient development of myriad do-it-yourself electronic devices that are easily customizable with open-source software ( https://www.arduino.cc/ ). Likewise, the global proliferation of mobile devices has led to the development of low-cost miniaturized wireless power technology. The authors present a low-cost, rechargeable, and fully implantable electronic device comprising a commercially available, open-source, wirelessly powered microcontroller that is readily customizable with myriad readily available miniature sensors and actuators. The authors demonstrate the utility of this platform for chronic nerve stimulation in the freely roaming rat with intermittent wireless charging over 4 weeks. Device assembly was achieved within 2 hours and necessitated only basic soldering equipment. Component costs totaled $115 per device. Wireless data transfer and wireless recharging of device batteries was achieved within 30 minutes, and no harmful heat generation occurred during charging or discharging cycles, as measured by external thermography and internal device temperature monitoring. Wireless communication enabled triggered cathodic pulse stimulation of the facial nerve at various user-selected programmed frequencies (1, 5, and 10 Hz) for periods of 4 weeks or longer. This implantable electronic platform could be further miniaturized and expanded to study a vast array of biomedical research questions in live animal models. CLINICAL RELEVANCE STATEMENT The clinical relevance of electrical stimulation in neural recovery remains controversial, and long-term neural stimulation in small animal models is challenging. We have developed a low-cost, fully implantable, wirelessly powered nerve stimulation device to facilitate further research in nerve stimulation in animal models.
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Affiliation(s)
| | - Pavel Gorelik
- Research Instrumentation Core Facility, Department of Neurobiology, Harvard Medical School
| | - Ofer Mazor
- Research Instrumentation Core Facility, Department of Neurobiology, Harvard Medical School
| | | | - Ronit Malk
- From the Massachusetts Eye & Ear Infirmary
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Chen CW, Kwok YT, Cheng YT, Huang YS, Kuo TBJ, Wu CH, Du PJ, Yang AC, Yang CCH. Reduced slow-wave activity and autonomic dysfunction during sleep precede cognitive deficits in Alzheimer's disease transgenic mice. Sci Rep 2023; 13:11231. [PMID: 37433857 DOI: 10.1038/s41598-023-38214-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 06/26/2023] [Indexed: 07/13/2023] Open
Abstract
Occurrence of amyloid-β (Aβ) aggregation in brain begins before the clinical onset of Alzheimer's disease (AD), as preclinical AD. Studies have reported that sleep problems and autonomic dysfunction associate closely with AD. However, whether they, especially the interaction between sleep and autonomic function, play critical roles in preclinical AD are unclear. Therefore, we investigated how sleep patterns and autonomic regulation at different sleep-wake stages changed and whether they were related to cognitive performance in pathogenesis of AD mice. Polysomnographic recordings in freely-moving APP/PS1 and wild-type (WT) littermates were collected to study sleep patterns and autonomic function at 4 (early disease stage) and 8 months of age (advanced disease stage), cognitive tasks including novel object recognition and Morris water maze were performed, and Aβ levels in brain were measured. APP/PS1 mice at early stage of AD pathology with Aβ aggregation but without significant differences in cognitive performance had frequent sleep-wake transitions, lower sleep-related delta power percentage, lower overall autonomic activity, and lower parasympathetic activity mainly during sleep compared with WT mice. The same phenomenon was observed in advanced-stage APP/PS1 mice with significant cognitive deficits. In mice at both disease stages, sleep-related delta power percentage correlated positively with memory performance. At early stage, memory performance correlated positively with sympathetic activity during wakefulness; at advanced stage, memory performance correlated positively with parasympathetic activity during both wakefulness and sleep. In conclusion, sleep quality and distinction between wake- and sleep-related autonomic function may be biomarkers for early AD detection.
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Affiliation(s)
- Chieh-Wen Chen
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Health and Leisure Management, Yuanpei University of Medical Technology, Hsinchu, Taiwan
| | - Yam-Ting Kwok
- Department of Neurology, Far Eastern Memorial Hospital, New Taipei, Taiwan
| | - Yu-Ting Cheng
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yu-Shan Huang
- Department of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Terry B J Kuo
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Education and Research, Taipei City Hospital, Taipei, Taiwan
- Center for Mind and Brain Medicine, Tsaotun Psychiatric Center, Ministry of Health and Welfare, Nantou, Taiwan
| | - Cheng-Han Wu
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Pei-Jing Du
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Albert C Yang
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan.
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Institute of Brain Science, Digital Medicine and Smart Healthcare Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan.
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan.
| | - Cheryl C H Yang
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan.
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Education and Research, Taipei City Hospital, Taipei, Taiwan.
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Zhang Q, Jing W, Wu S, Zhu M, Jiang J, Liu X, Yu D, Cheng L, Feng B, Wen J, Xiong F, Lu Y, Du H. Development of a synchronous recording and photo-stimulating electrode in multiple brain neurons. Front Neurosci 2023; 17:1195095. [PMID: 37383109 PMCID: PMC10293621 DOI: 10.3389/fnins.2023.1195095] [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: 03/28/2023] [Accepted: 05/25/2023] [Indexed: 06/30/2023] Open
Abstract
The investigation of brain networks and neural circuits involves the crucial aspects of observing and modulating neurophysiological activity. Recently, opto-electrodes have emerged as an efficient tool for electrophysiological recording and optogenetic stimulation, which has greatly facilitated the analysis of neural coding. However, implantation and electrode weight control have posed significant challenges in achieving long-term and multi-regional brain recording and stimulation. To address this issue, we have developed a mold and custom-printed circuit board-based opto-electrode. We report successful opto-electrode placement and high-quality electrophysiological recordings from the default mode network (DMN) of the mouse brain. This novel opto-electrode facilitates synchronous recording and stimulation in multiple brain regions and holds promise for advancing future research on neural circuits and networks.
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Affiliation(s)
- Qingping Zhang
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Jing
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Shiping Wu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Mengzheng Zhu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Jingrui Jiang
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Liu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Dian Yu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Long Cheng
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Bin Feng
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianbin Wen
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Xiong
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, National Center for Magnetic Resonance in Wuhan, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
| | - Youming Lu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Huiyun Du
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Drug Target Research and Pharmacodynamic Evaluation, Wuhan, China
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Liu G, Lv Z, Batool S, Li MZ, Zhao P, Guo L, Wang Y, Zhou Y, Han ST. Biocompatible Material-Based Flexible Biosensors: From Materials Design to Wearable/Implantable Devices and Integrated Sensing Systems. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023:e2207879. [PMID: 37009995 DOI: 10.1002/smll.202207879] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/28/2023] [Indexed: 06/19/2023]
Abstract
Human beings have a greater need to pursue life and manage personal or family health in the context of the rapid growth of artificial intelligence, big data, the Internet of Things, and 5G/6G technologies. The application of micro biosensing devices is crucial in connecting technology and personalized medicine. Here, the progress and current status from biocompatible inorganic materials to organic materials and composites are reviewed and the material-to-device processing is described. Next, the operating principles of pressure, chemical, optical, and temperature sensors are dissected and the application of these flexible biosensors in wearable/implantable devices is discussed. Different biosensing systems acting in vivo and in vitro, including signal communication and energy supply are then illustrated. The potential of in-sensor computing for applications in sensing systems is also discussed. Finally, some essential needs for commercial translation are highlighted and future opportunities for flexible biosensors are considered.
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Affiliation(s)
- Gang Liu
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Ziyu Lv
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Saima Batool
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | | | - Pengfei Zhao
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Liangchao Guo
- College of Mechanical Engineering, Yangzhou University, Yangzhou, 225127, P. R. China
| | - Yan Wang
- School of Microelectronics, Hefei University of Technology, Hefei, 230009, P. R. China
| | - Ye Zhou
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Su-Ting Han
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
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6
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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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7
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Smith RD, Kolb I, Tanaka S, Lee AK, Harris TD, Barbic M. Robotic multi-probe single-actuator inchworm neural microdrive. eLife 2022; 11:71876. [PMID: 36355598 PMCID: PMC9651949 DOI: 10.7554/elife.71876] [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: 07/02/2021] [Accepted: 10/13/2022] [Indexed: 11/11/2022] Open
Abstract
A wide range of techniques in neuroscience involve placing individual probes at precise locations in the brain. However, large-scale measurement and manipulation of the brain using such methods have been severely limited by the inability to miniaturize systems for probe positioning. Here, we present a fundamentally new, remote-controlled micropositioning approach composed of novel phase-change material-filled resistive heater micro-grippers arranged in an inchworm motor configuration. The microscopic dimensions, stability, gentle gripping action, individual electronic control, and high packing density of the grippers allow micrometer-precision independent positioning of many arbitrarily shaped probes using a single piezo actuator. This multi-probe single-actuator design significantly reduces the size and weight and allows for potential automation of microdrives. We demonstrate accurate placement of multiple electrodes into the rat hippocampus in vivo in acute and chronic preparations. Our robotic microdrive technology should therefore enable the scaling up of many types of multi-probe applications in neuroscience and other fields.
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Affiliation(s)
| | - Ilya Kolb
- Janelia Research Campus, Howard Hughes Medical Institute
| | | | - Albert K Lee
- Janelia Research Campus, Howard Hughes Medical Institute
| | | | - Mladen Barbic
- Janelia Research Campus, Howard Hughes Medical Institute
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Chang Y, Jang J, Cho J, Lee J, Son Y, Park S, Kim C. Seamless Capacitive Body Channel Wireless Power Transmission Toward Freely Moving Multiple Animals in an Animal Cage. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2022; 16:714-725. [PMID: 35976817 DOI: 10.1109/tbcas.2022.3199455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Unstable wireless power transmission toward multiple living animals in an animal cage is one of the significant barriers to performing long-term and real-time neural monitoring in preclinical research. Here, seamless capacitive body channel (SCB) wireless power transmission (WPT) along with power management integrated circuit (PMIC) is designed using a standard 65 nm CMOS process. The SCB WPT enables stable wireless power transmission toward multiple 35 mm×20 mm×2 mm sized receivers (RXs) attached to freely moving animals in a 600 mm×600 mm×120 mm sized animal cage. By utilizing fringe-field capacitance and a body channel for wireless power link between the cage and RXs, the maximum difference in all measured power efficiencies in diverse scenarios is only 6.66 % with a 20 mW load. Even with a 90 ° RX rotation against the cage, power efficiency marks 17.76 %. Furthermore, an in-vivo experiment conducted with three untethered rats demonstrates the capability of continuous long-term power delivery in practical situations.
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Zhao Z, Spyropoulos GD, Cea C, Gelinas JN, Khodagholy D. Ionic communication for implantable bioelectronics. SCIENCE ADVANCES 2022; 8:eabm7851. [PMID: 35385298 PMCID: PMC8985921 DOI: 10.1126/sciadv.abm7851] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 02/14/2022] [Indexed: 05/22/2023]
Abstract
Implanted bioelectronic devices require data transmission through tissue, but ionic conductivity and inhomogeneity of this medium complicate conventional communication approaches. Here, we introduce ionic communication (IC) that uses ions to effectively propagate megahertz-range signals. We demonstrate that IC operates by generating and sensing electrical potential energy within polarizable media. IC was tuned to transmit across a range of biologically relevant tissue depths. The radius of propagation was controlled to enable multiline parallel communication, and it did not interfere with concurrent use of other bioelectronics. We created a fully implantable IC-based neural interface device that acquired and noninvasively transmitted neurophysiologic data from freely moving rodents over a period of weeks with stability sufficient for isolation of action potentials from individual neurons. IC is a biologically based data communication that establishes long-term, high-fidelity interactions across intact tissue.
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Affiliation(s)
- Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | | | - Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Jennifer N. Gelinas
- Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
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Yamashita K, Sawahata H, Yamagiwa S, Yokoyama S, Numano R, Koida K, Kawano T. A floating 5 μm-diameter needle electrode on the tissue for damage-reduced chronic neuronal recording in mice. LAB ON A CHIP 2022; 22:747-756. [PMID: 35044407 DOI: 10.1039/d1lc01031j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Microelectrode technology is essential in electrophysiology and has made contributions to neuroscience as well as to medical applications. However, it is necessary to minimize tissue damage associated with needle-like electrode on the brain tissue and the implantation surgery, which makes stable chronic recording impossible. Here, we report on an approach for using a 5 μm-diameter needle electrode, which enables the following of tissue motions, via a surgical method. The electrode is placed on the brain tissue of a mouse with a dissolvable material, reducing the physical stress to the tissue; this is followed by the implantation of the electrode device in the brain without fixing it to the cranium, achieving a floating electrode architecture on the tissue. The electrode shows stable recording with no significant degradation of the signal-to-noise ratios for 6 months, and minimized tissue damage is confirmed compared to that when using a cranium-fixed electrode with the same needle geometry.
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Affiliation(s)
- Koji Yamashita
- Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Aichi, Japan.
| | | | - Shota Yamagiwa
- Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Aichi, Japan.
| | | | - Rika Numano
- Electronics-Interdisciplinary Research Institute (EIIRIS), Toyohashi University of Technology, Aichi, Japan
- Department of Applied Chemistry and Life Science, Toyohashi University of Technology, Aichi, Japan
| | - Kowa Koida
- Electronics-Interdisciplinary Research Institute (EIIRIS), Toyohashi University of Technology, Aichi, Japan
- Department of Computer Science and Engineering, Toyohashi University of Technology, Aichi, Japan
| | - Takeshi Kawano
- Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Aichi, Japan.
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Shin H, Byun J, Roh D, Choi N, Shin HS, Cho IJ. Interference-free, lightweight wireless neural probe system for investigating brain activity during natural competition. Biosens Bioelectron 2022; 195:113665. [PMID: 34610533 DOI: 10.1016/j.bios.2021.113665] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 09/17/2021] [Accepted: 09/18/2021] [Indexed: 12/26/2022]
Abstract
Competition is one of the most fundamental, yet complex, conflicts between social animals, and previous studies have indicated that the medial prefrontal cortex (mPFC) region of a brain is involved in social interactions. However, because we do not have a lightweight, wireless recording system that is free of interference, it is still unclear how the neural activity of the mPFC region is involved in the diverse, interacting behaviors that comprise competition. Herein, we present an interference-free, lightweight, wireless neural probe system that we applied to two mice to measure mPFC neural activities during a food competition test. In the test, we categorized 18 behavioral repertoires expressed by the mice. From the analysis of the neural signals during each repetition of the test, we found that the mPFC neural activity had the most positive correlation with goal-driven competitive behaviors, such as guarding resources and behaviors related to the extortion of resources. Remarkably, we found that the neural activity associated with guarding behavior was higher than that of extorting behavior, and this highlighted the importance of resource-guarding behavior for winning the competition, i.e., 'winning a trophy is hard, but keeping it is harder'. Our approach in which a wireless system is used will enable in-depth studies of the brains of mice in their natural social interactions.
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Affiliation(s)
- Hyogeun Shin
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Junweon Byun
- Center for Cognition and Sociality, Institute for Basic Science (IBS), Daejeon, Republic of Korea; Department for Basic Science, IBS School, Korea University of Science and Technology (UST), Daejeon, Republic of Korea
| | - Donghyun Roh
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Nakwon Choi
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea; KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea
| | - Hee-Sup Shin
- Center for Cognition and Sociality, Institute for Basic Science (IBS), Daejeon, Republic of Korea; Department for Basic Science, IBS School, Korea University of Science and Technology (UST), Daejeon, Republic of Korea.
| | - Il-Joo Cho
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea; School of Electrical and Electronics Engineering, Yonsei University, Seoul, Republic of Korea; Yonsei-KIST Convergence Research Institute, Yonsei University, Seoul, Republic of Korea.
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12
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Erofeev A, Kazakov D, Makarevich N, Bolshakova A, Gerasimov E, Nekrasov A, Kazakin A, Komarevtsev I, Bolsunovskaja M, Bezprozvanny I, Vlasova O. An Open-Source Wireless Electrophysiological Complex for In Vivo Recording Neuronal Activity in the Rodent's Brain. SENSORS 2021; 21:s21217189. [PMID: 34770498 PMCID: PMC8587815 DOI: 10.3390/s21217189] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 10/19/2021] [Accepted: 10/26/2021] [Indexed: 01/14/2023]
Abstract
Multi-electrode arrays (MEAs) are a widely used tool for recording neuronal activity both in vitro/ex vivo and in vivo experiments. In the last decade, researchers have increasingly used MEAs on rodents in vivo. To increase the availability and usability of MEAs, we have created an open-source wireless electrophysiological complex. The complex is scalable, recording the activity of neurons in the brain of rodents during their behavior. Schematic diagrams and a list of necessary components for the fabrication of a wireless electrophysiological complex, consisting of a base charging station and wireless wearable modules, are presented.
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Affiliation(s)
- Alexander Erofeev
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
- Correspondence: (A.E.); (O.V.)
| | - Dmitriy Kazakov
- National Technology Initiative Center for Advanced Manufacturing Technologies, Laboratory of Industrial Data Streaming Systems, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (D.K.); (N.M.); (M.B.)
| | - Nikita Makarevich
- National Technology Initiative Center for Advanced Manufacturing Technologies, Laboratory of Industrial Data Streaming Systems, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (D.K.); (N.M.); (M.B.)
| | - Anastasia Bolshakova
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
| | - Evgenii Gerasimov
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
| | - Arseniy Nekrasov
- Neuropribor, Limited Liability Company, 194223 Saint Petersburg, Russia;
| | - Alexey Kazakin
- Laboratory of Nano- and Microsystem Technology, Joint Institute of Science and Technology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.K.); (I.K.)
| | - Ivan Komarevtsev
- Laboratory of Nano- and Microsystem Technology, Joint Institute of Science and Technology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.K.); (I.K.)
| | - Marina Bolsunovskaja
- National Technology Initiative Center for Advanced Manufacturing Technologies, Laboratory of Industrial Data Streaming Systems, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (D.K.); (N.M.); (M.B.)
| | - Ilya Bezprozvanny
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
- Department of Physiology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Olga Vlasova
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
- Correspondence: (A.E.); (O.V.)
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13
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Li X, Liu C, Wang R. Light Modulation of Brain and Development of Relevant Equipment. J Alzheimers Dis 2021; 74:29-41. [PMID: 32039856 DOI: 10.3233/jad-191240] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Light modulation plays an important role in understanding the pathology of brain disorders and improving brain function. Optogenetic techniques can activate or silence targeted neurons with high temporal and spatial accuracy and provide precise control, and have recently become a method for quick manipulation of genetically identified types of neurons. Photobiomodulation (PBM) is light therapy that utilizes non-ionizing light sources, including lasers, light emitting diodes, or broadband light. It provides a safe means of modulating brain activity without any irreversible damage and has established optimal treatment parameters in clinical practice. This manuscript reviews 1) how optogenetic approaches have been used to dissect neural circuits in animal models of Alzheimer's disease, Parkinson's disease, and depression, and 2) how low level transcranial lasers and LED stimulation in humans improves brain activity patterns in these diseases. State-of-the-art brain machine interfaces that can record neural activity and stimulate neurons with light have good prospects in the future.
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Affiliation(s)
- Xiaoran Li
- School of Information and Electronics, Beijing Institute of Technology, Beijing, China
| | - Chunyan Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neuromodulation, Beijing, China
| | - Rong Wang
- Central Laboratory, Xuanwu Hospital, Capital Medical University, Beijing Geriatric Medical Research Center, Beijing, China.,Beijing Institute for Brain Disorders, Beijing, China
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14
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Sriram S, Avlani S, Ward MP, Sen S. Electro-Quasistatic Animal Body Communication for Untethered Rodent Biopotential Recording. Sci Rep 2021; 11:3307. [PMID: 33558552 PMCID: PMC7870669 DOI: 10.1038/s41598-021-81108-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 12/24/2020] [Indexed: 11/08/2022] Open
Abstract
Continuous multi-channel monitoring of biopotential signals is vital in understanding the body as a whole, facilitating accurate models and predictions in neural research. The current state of the art in wireless technologies for untethered biopotential recordings rely on radiative electromagnetic (EM) fields. In such transmissions, only a small fraction of this energy is received since the EM fields are widely radiated resulting in lossy inefficient systems. Using the body as a communication medium (similar to a 'wire') allows for the containment of the energy within the body, yielding order(s) of magnitude lower energy than radiative EM communication. In this work, we introduce Animal Body Communication (ABC), which utilizes the concept of using the body as a medium into the domain of untethered animal biopotential recording. This work, for the first time, develops the theory and models for animal body communication circuitry and channel loss. Using this theoretical model, a sub-inch[Formula: see text] [1″ × 1″ × 0.4″], custom-designed sensor node is built using off the shelf components which is capable of sensing and transmitting biopotential signals, through the body of the rat at significantly lower powers compared to traditional wireless transmissions. In-vivo experimental analysis proves that ABC successfully transmits acquired electrocardiogram (EKG) signals through the body with correlation [Formula: see text] when compared to traditional wireless communication modalities, with a 50[Formula: see text] reduction in power consumption.
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Affiliation(s)
- Shreeya Sriram
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA.
| | - Shitij Avlani
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA
| | - Matthew P Ward
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47906, USA
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Shreyas Sen
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA.
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47906, USA.
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15
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Kim J, Kim C, Han HB, Cho CJ, Yeom W, Lee SQ, Choi JH. A bird's-eye view of brain activity in socially interacting mice through mobile edge computing (MEC). SCIENCE ADVANCES 2020; 6:6/49/eabb9841. [PMID: 33268372 PMCID: PMC7821890 DOI: 10.1126/sciadv.abb9841] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 10/16/2020] [Indexed: 06/12/2023]
Abstract
Social cognition requires neural processing, yet a unifying method linking particular brain activities and social behaviors is lacking. Here, we embedded mobile edge computing (MEC) and light emitting diodes (LEDs) on a neurotelemetry headstage, such that a particular neural event of interest is processed by the MEC and subsequently an LED is illuminated, allowing simultaneous temporospatial visualization of that neural event in multiple, socially interacting mice. As a proof of concept, we configured our system to illuminate an LED in response to gamma oscillations in the basolateral amygdala (BLA gamma) in freely moving mice. We identified (i) BLA gamma responses to a spider robot, (ii) affect-related BLA gamma during conflict, and (iii) formation of defensive aggregation under a threat by the robot, and reduction of BLA gamma responses in the inner-located mice. Our system can provide an intuitive framework for examining brain-behavior connections in various ecological situations and population structures.
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Affiliation(s)
- Jisoo Kim
- Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea
- Department of Brain and Cognitive Engineering, Korea University, Anam-dong 5ga, Seongbuk-gu, Seoul 02841, South Korea
| | - Chaewoo Kim
- Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea
- Department of Neural Sciences, University of Science and Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon 34113, South Korea
| | - Hio-Been Han
- Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea
| | - Cheol Jun Cho
- Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea
- Department of Computer Science and Engineering, Seoul National University, Seoul 08826, South Korea
| | - Wooseob Yeom
- Intelligent Sensor Research Section, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, South Korea
| | - Sung Q Lee
- Intelligent Sensor Research Section, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, South Korea.
| | - Jee Hyun Choi
- Center for Neuroscience, Korea Institute of Science and Technology, Hwarang-ro 14-gil 5, Seongbuk-gu, Seoul 02792, South Korea.
- Department of Neural Sciences, University of Science and Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon 34113, South Korea
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16
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Alimajstorovic Z, Westgate CSJ, Jensen RH, Eftekhari S, Mitchell J, Vijay V, Seneviratne SY, Mollan SP, Sinclair AJ. Guide to preclinical models used to study the pathophysiology of idiopathic intracranial hypertension. Eye (Lond) 2020; 34:1321-1333. [PMID: 31896803 PMCID: PMC7376028 DOI: 10.1038/s41433-019-0751-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 10/24/2019] [Accepted: 11/29/2019] [Indexed: 12/21/2022] Open
Abstract
Idiopathic intracranial hypertension (IIH) is characterised by raised intracranial pressure (ICP) and papilloedema in the absence of an identifiable secondary cause typically occurring in young women with obesity. The impact is considerable with the potential for blindness, chronic disabling headaches, future risk of cardiovascular disease and marked healthcare utilisation. There have been marked advances in our understanding the pathophysiology of IIH including the role of androgen excess. Insight into pathophysiological underpinnings has arisen from astute clinical observations, studies, and an array of preclinical models. This article summarises the current literature pertaining to the pathophysiology of IIH. The current preclinical models relevant to gaining mechanistic insights into IIH are then discussed. In vitro and in vivo models which study CSF secretion and the effect of potentially pathogenic molecules have started to glean important mechanistic insights. These models are also useful to evaluate novel therapeutic targets to abrogate CSF secretion. Importantly, in vitro CSF secretion assays translate into relevant changes in ICP in vivo. Models of CSF absorption pertinent to IIH, are less well established but highly relevant and of future interest. There is no fully developed in vivo model of IIH but this remains an area of importance. Progress is being made to improve our understanding of the underlying aetiology in IIH including the characterisation of disease biomarkers and their mechanistic role in driving disease pathology. Preclinical models, used to evaluate IIH mechanisms are yielding important mechanistic insights. Further work to refine these techniques will provide translatable insights into disease aetiology.
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Affiliation(s)
- Zerin Alimajstorovic
- Metabolic Neurology, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Connar S J Westgate
- Metabolic Neurology, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
- Department of Neurology, Danish Headache Centre, Rigshospitalet-Glostrup, Glostrup Research Institute, Valdemar Hansens Vej 5, 2600, Glostrup, Denmark
| | - Rigmor H Jensen
- Department of Neurology, Danish Headache Centre, Rigshospitalet-Glostrup, Glostrup Research Institute, Valdemar Hansens Vej 5, 2600, Glostrup, Denmark
| | - Sajedeh Eftekhari
- Department of Neurology, Danish Headache Centre, Rigshospitalet-Glostrup, Glostrup Research Institute, Valdemar Hansens Vej 5, 2600, Glostrup, Denmark
| | - James Mitchell
- Metabolic Neurology, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Vivek Vijay
- Metabolic Neurology, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Senali Y Seneviratne
- Metabolic Neurology, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Susan P Mollan
- Birmingham Neuro-Ophthalmology, Queen Elizabeth Hospital, Birmingham, UK
| | - Alexandra J Sinclair
- Metabolic Neurology, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
- Birmingham Neuro-Ophthalmology, Queen Elizabeth Hospital, Birmingham, UK.
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, B15 2TH, UK.
- Department of Neurology, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2WB, UK.
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17
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Abstract
We here present a 0.15 µm CMOS high input impedance and low noise AC coupled flipped voltage follower-based amplifier for high integration level in integrated circuits in a wide range of sensing applications. With such a circuit, it is possible to achieve a high level of integration, thanks to the absence of passive resistors, and also to implement a very high input impedance without capacitive feedback thanks to bootstrap operation, thus offering a very low high-pass cutoff frequency. Simulated results with a proven and well modeled standard technology show a whole circuit input-referred noise of 5.4 µVrms. The bias voltage is ±0.6 V with a total power consumption of the single amplifier of 20 µW. The very low circuit complexity allows a very low estimated reduced area occupation giving, as a general example, the possibility of integrating an array of up to thousands of channels for biomedical applications. Detailed simulation results, PVT analysis and comparison tables are also presented in the paper.
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18
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Mirbozorgi SA, Jia Y, Zhang P, Ghovanloo M. Toward a High-Throughput Wireless Smart Arena for Behavioral Experiments on Small Animals. IEEE Trans Biomed Eng 2019; 67:2359-2369. [PMID: 31870973 DOI: 10.1109/tbme.2019.2961297] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This work presents a high-throughput and scalable wirelessly-powered smart arena for behavioral experiments made of multiple EnerCage Homecage (HC) systems, operating in parallel in a way that they can fit in standard racks that are commonly used in animal facilities. The proposed system, which is referred to as the multi-EnerCage-HC (mEHC), increases the volume of data that can be collected from more animal subjects, while lowering the cost and duration of experiments as well as stress-induced bias by minimizing the involvement of human operators. Thus improving the quality, reproducibility, and statistical power of experiment outcomes, while saving precious lab space. The system is equipped with an auto-tuning mechanism to compensate for the resonance frequency shifts caused by the dynamic nature of the mutual inductance between adjacent homecages. A functional prototype of the mEHC system has been implemented with 7 units and analyzed for theoretical design considerations that would minimize the effects of interference and resonance frequency bifurcation. Experiment results demonstrate robust wireless power and data transmissions capabilities of this system within the noisy lab environment.
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19
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El-Atab N, Shaikh SF, Hussain MM. Nano-scale transistors for interfacing with brain: design criteria, progress and prospect. NANOTECHNOLOGY 2019; 30:442001. [PMID: 31342924 DOI: 10.1088/1361-6528/ab3534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
According to the World Health Organization, one quarter of the world's population suffers from various neurological disorders ranging from depression to Alzheimer's disease. Thus, understanding the operation mechanism of the brain enables us to help those who are suffering from these diseases. In addition, recent clinical medicine employs electronic brain implants, despite the fact of being invasive, to treat disorders ranging from severe coronary conditions to traumatic injuries. As a result, the deaf could hear, the blind could see, and the paralyzed could control robotic arms and legs. Due to the requirement of high data management capability with a power consumption as low as possible, designing nanoscale transistors as essential I/O electronics is a complex task. Herein, we review the essential design criteria for such nanoscale transistors, progress and prospect for implantable brain-machine-interface electronics. This article also discusses their technological challenges for practical implementation.
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Affiliation(s)
- Nazek El-Atab
- MMH Labs, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
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20
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Martinez D, Clément M, Messaoudi B, Gervasoni D, Litaudon P, Buonviso N. Adaptive quantization of local field potentials for wireless implants in freely moving animals: an open-source neural recording device. J Neural Eng 2019; 15:025001. [PMID: 29219118 DOI: 10.1088/1741-2552/aaa041] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Modern neuroscience research requires electrophysiological recording of local field potentials (LFPs) in moving animals. Wireless transmission has the advantage of removing the wires between the animal and the recording equipment but is hampered by the large number of data to be sent at a relatively high rate. APPROACH To reduce transmission bandwidth, we propose an encoder/decoder scheme based on adaptive non-uniform quantization. Our algorithm uses the current transmitted codeword to adapt the quantization intervals to changing statistics in LFP signals. It is thus backward adaptive and does not require the sending of side information. The computational complexity is low and similar at the encoder and decoder sides. These features allow for real-time signal recovery and facilitate hardware implementation with low-cost commercial microcontrollers. MAIN RESULTS As proof-of-concept, we developed an open-source neural recording device called NeRD. The NeRD prototype digitally transmits eight channels encoded at 10 kHz with 2 bits per sample. It occupies a volume of 2 × 2 × 2 cm3 and weighs 8 g with a small battery allowing for 2 h 40 min of autonomy. The power dissipation is 59.4 mW for a communication range of 8 m and transmission losses below 0.1%. The small weight and low power consumption offer the possibility of mounting the entire device on the head of a rodent without resorting to a separate head-stage and battery backpack. The NeRD prototype is validated in recording LFPs in freely moving rats at 2 bits per sample while maintaining an acceptable signal-to-noise ratio (>30 dB) over a range of noisy channels. SIGNIFICANCE Adaptive quantization in neural implants allows for lower transmission bandwidths while retaining high signal fidelity and preserving fundamental frequencies in LFPs.
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Affiliation(s)
- Dominique Martinez
- Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS), UMR7503, Vandœuvre-lès-Nancy, France
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21
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Vanzella W, Grion N, Bertolini D, Perissinotto A, Gigante M, Zoccolan D. A passive, camera-based head-tracking system for real-time, three-dimensional estimation of head position and orientation in rodents. J Neurophysiol 2019; 122:2220-2242. [PMID: 31553687 DOI: 10.1152/jn.00301.2019] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Tracking head position and orientation in small mammals is crucial for many applications in the field of behavioral neurophysiology, from the study of spatial navigation to the investigation of active sensing and perceptual representations. Many approaches to head tracking exist, but most of them only estimate the 2D coordinates of the head over the plane where the animal navigates. Full reconstruction of the pose of the head in 3D is much more more challenging and has been achieved only in handful of studies, which employed headsets made of multiple LEDs or inertial units. However, these assemblies are rather bulky and need to be powered to operate, which prevents their application in wireless experiments and in the small enclosures often used in perceptual studies. Here we propose an alternative approach, based on passively imaging a lightweight, compact, 3D structure, painted with a pattern of black dots over a white background. By applying a cascade of feature extraction algorithms that progressively refine the detection of the dots and reconstruct their geometry, we developed a tracking method that is highly precise and accurate, as assessed through a battery of validation measurements. We show that this method can be used to study how a rat samples sensory stimuli during a perceptual discrimination task and how a hippocampal place cell represents head position over extremely small spatial scales. Given its minimal encumbrance and wireless nature, our method could be ideal for high-throughput applications, where tens of animals need to be simultaneously and continuously tracked.NEW & NOTEWORTHY Head tracking is crucial in many behavioral neurophysiology studies. Yet reconstruction of the head's pose in 3D is challenging and typically requires implanting bulky, electrically powered headsets that prevent wireless experiments and are hard to employ in operant boxes. Here we propose an alternative approach, based on passively imaging a compact, 3D dot pattern that, once implanted over the head of a rodent, allows estimating the pose of its head with high precision and accuracy.
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Affiliation(s)
- Walter Vanzella
- Visual Neuroscience Laboratory, International School for Advanced Studies (SISSA), Trieste, Italy.,Glance Vision Technologies, Trieste, Italy
| | - Natalia Grion
- Visual Neuroscience Laboratory, International School for Advanced Studies (SISSA), Trieste, Italy
| | - Daniele Bertolini
- Visual Neuroscience Laboratory, International School for Advanced Studies (SISSA), Trieste, Italy
| | - Andrea Perissinotto
- Visual Neuroscience Laboratory, International School for Advanced Studies (SISSA), Trieste, Italy.,Glance Vision Technologies, Trieste, Italy
| | - Marco Gigante
- Mechatronics Lab, International School for Advanced Studies (SISSA), Trieste, Italy
| | - Davide Zoccolan
- Visual Neuroscience Laboratory, International School for Advanced Studies (SISSA), Trieste, Italy
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22
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Duets recorded in the wild reveal that interindividually coordinated motor control enables cooperative behavior. Nat Commun 2019; 10:2577. [PMID: 31189912 PMCID: PMC6561963 DOI: 10.1038/s41467-019-10593-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 05/21/2019] [Indexed: 01/02/2023] Open
Abstract
Many organisms coordinate rhythmic motor actions with those of a partner to generate cooperative social behavior such as duet singing. The neural mechanisms that enable rhythmic interindividual coordination of motor actions are unknown. Here we investigate the neural basis of vocal duetting behavior by using an approach that enables simultaneous recordings of individual vocalizations and multiunit vocal premotor activity in songbird pairs ranging freely in their natural habitat. We find that in the duet-initiating bird, the onset of the partner’s contribution to the duet triggers a change in rhythm in the periodic neural discharges that are exclusively locked to the initiating bird’s own vocalizations. The resulting interindividually synchronized neural activity pattern elicits vocalizations that perfectly alternate between partners in the ongoing song. We suggest that rhythmic cooperative behavior requires exact interindividual coordination of premotor neural activity, which might be achieved by integration of sensory information originating from the interacting partner. Recording neural activity during coordinated behaviors in controlled environments limits opportunities for understanding natural interactions. Here, the authors record from freely moving duetting birds in their natural habitats to reveal the neural mechanisms of interindividual motor coordination.
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23
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Lee B, Jia Y, Mirbozorgi SA, Connolly M, Tong X, Zeng Z, Mahmoudi B, Ghovanloo M. An Inductively-Powered Wireless Neural Recording and Stimulation System for Freely-Behaving Animals. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2019; 13:413-424. [PMID: 30624226 PMCID: PMC6510586 DOI: 10.1109/tbcas.2019.2891303] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
An inductively-powered wireless integrated neural recording and stimulation (WINeRS-8) system-on-a-chip (SoC) that is compatible with the EnerCage-HC2 for wireless/battery-less operation has been presented for neuroscience experiments on freely behaving animals. WINeRS-8 includes a 32-ch recording analog front end, a 4-ch current-controlled stimulator, and a 434 MHz on - off keying data link to an external software- defined radio wideband receiver (Rx). The headstage also has a bluetooth low energy link for controlling the SoC. WINeRS-8/EnerCage-HC2 systems form a bidirectional wireless and battery-less neural interface within a standard homecage, which can support longitudinal experiments in an enriched environment. Both systems were verified in vivo on rat animal model, and the recorded signals were compared with hardwired and battery-powered recording results. Realtime stimulation and recording verified the system's potential for bidirectional neural interfacing within the homecage, while continuously delivering 35 mW to the hybrid WINeRS-8 headstage over an unlimited period.
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Affiliation(s)
- Byunghun Lee
- School of Electrical Engineering, Incheon National University, South Korea ()
| | - Yaoyao Jia
- GT- Bionics lab, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30308, USA ()
| | - S. Abdollah Mirbozorgi
- GT- Bionics lab, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30308, USA ()
| | - Mark Connolly
- Department of Physiology, Emory University, Atlanta, GA 30329, USA
| | - Xingyuan Tong
- School of Electronics Engineering, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China
| | | | - Babak Mahmoudi
- Department of Physiology, Emory University, Atlanta, GA 30329, USA
| | - Maysam Ghovanloo
- GT- Bionics lab, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30308, USA ()
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24
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Erskine A, Bus T, Herb JT, Schaefer AT. AutonoMouse: High throughput operant conditioning reveals progressive impairment with graded olfactory bulb lesions. PLoS One 2019; 14:e0211571. [PMID: 30840676 PMCID: PMC6402634 DOI: 10.1371/journal.pone.0211571] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 01/16/2019] [Indexed: 11/18/2022] Open
Abstract
Operant conditioning is a crucial tool in neuroscience research for probing brain function. While molecular, anatomical and even physiological techniques have seen radical increases in throughput, efficiency, and reproducibility in recent years, behavioural tools have somewhat lagged behind. Here we present a fully automated, high-throughput system for self-initiated conditioning of up to 25 group-housed, radio-frequency identification (RFID) tagged mice over periods of several months and >106 trials. We validate this "AutonoMouse" system in a series of olfactory behavioural tasks and show that acquired data is comparable to previous semi-manual approaches. Furthermore, we use AutonoMouse to systematically probe the impact of graded olfactory bulb lesions on olfactory behaviour, demonstrating that while odour discrimination in general is robust to even most extensive disruptions, small olfactory bulb lesions already impair odour detection. Discrimination learning of similar mixtures as well as learning speed are in turn reliably impacted by medium lesion sizes. The modular nature and open-source design of AutonoMouse should allow for similar robust and systematic assessments across neuroscience research areas.
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Affiliation(s)
- Andrew Erskine
- The Francis Crick Institute, Neurophysiology of Behaviour Laboratory, London, United Kingdom
- Department of Neuroscience, Physiology & Pharmacology, University College London, London, United Kingdom
| | - Thorsten Bus
- Behavioural Neurophysiology, Max-Planck-Institute for Medical Research, Heidelberg, Germany
| | - Jan T. Herb
- The Francis Crick Institute, Neurophysiology of Behaviour Laboratory, London, United Kingdom
- Behavioural Neurophysiology, Max-Planck-Institute for Medical Research, Heidelberg, Germany
- Department of Anatomy and Cell Biology, Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Andreas T. Schaefer
- The Francis Crick Institute, Neurophysiology of Behaviour Laboratory, London, United Kingdom
- Department of Neuroscience, Physiology & Pharmacology, University College London, London, United Kingdom
- Behavioural Neurophysiology, Max-Planck-Institute for Medical Research, Heidelberg, Germany
- Department of Anatomy and Cell Biology, Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
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25
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Senarathna J, Yu H, Deng C, Zou AL, Issa JB, Hadjiabadi DH, Gil S, Wang Q, Tyler BM, Thakor NV, Pathak AP. A miniature multi-contrast microscope for functional imaging in freely behaving animals. Nat Commun 2019; 10:99. [PMID: 30626878 PMCID: PMC6327063 DOI: 10.1038/s41467-018-07926-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 12/03/2018] [Indexed: 12/27/2022] Open
Abstract
Neurovascular coupling, cerebrovascular remodeling and hemodynamic changes are critical to brain function, and dysregulated in neuropathologies such as brain tumors. Interrogating these phenomena in freely behaving animals requires a portable microscope with multiple optical contrast mechanisms. Therefore, we developed a miniaturized microscope with: a fluorescence (FL) channel for imaging neural activity (e.g., GCaMP) or fluorescent cancer cells (e.g., 9L-GFP); an intrinsic optical signal (IOS) channel for imaging hemoglobin absorption (i.e., cerebral blood volume); and a laser speckle contrast (LSC) channel for imaging perfusion (i.e., cerebral blood flow). Following extensive validation, we demonstrate the microscope’s capabilities via experiments in unanesthetized murine brains that include: (i) multi-contrast imaging of neurovascular changes following auditory stimulation; (ii) wide-area tonotopic mapping; (iii) EEG-synchronized imaging during anesthesia recovery; and (iv) microvascular connectivity mapping over the life-cycle of a brain tumor. This affordable, flexible, plug-and-play microscope heralds a new era in functional imaging of freely behaving animals. Measuring multiple neurophysiologic variables usually requires bulky benchtop optical systems and working with anesthetized animals. Here the authors present a miniature portable microscope for neurovascular imaging in awake rodents, combining fluorescence, intrinsic optical signals and laser speckle contrast.
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Affiliation(s)
- Janaka Senarathna
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Hang Yu
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Callie Deng
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Alice L Zou
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - John B Issa
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Darian H Hadjiabadi
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Stacy Gil
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Qihong Wang
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Betty M Tyler
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Nitish V Thakor
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Arvind P Pathak
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. .,Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
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26
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Advances in Penetrating Multichannel Microelectrodes Based on the Utah Array Platform. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1101:1-40. [PMID: 31729670 DOI: 10.1007/978-981-13-2050-7_1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The Utah electrode array (UEA) and its many derivatives have become a gold standard for high-channel count bi-directional neural interfaces, in particular in human subject applications. The chapter provides a brief overview of leading electrode concepts and the context in which the UEA has to be understood. It goes on to discuss the key advances and developments of the UEA platform in the past 15 years, as well as novel wireless and system integration technologies that will merge into future generations of fully integrated devices. Aspects covered include novel device architectures that allow scaling of channel count and density of electrode contacts, material improvements to substrate, electrode contacts, and encapsulation. Further subjects are adaptations of the UEA platform to support IR and optogenetic simulation as well as an improved understanding of failure modes and methods to test and accelerate degradation in vitro such as to better predict device failure and lifetime in vivo.
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27
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Emara MS, Pisanello M, Sileo L, De Vittorio M, Pisanello F. A Wireless Head-mountable Device with Tapered Optical Fiber-coupled Laser Diode for Light Delivery in Deep Brain Regions. IEEE Trans Biomed Eng 2018; 66:1996-2009. [PMID: 30452350 DOI: 10.1109/tbme.2018.2882146] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Optogenetics sets new experimental paradigms that can reveal cell type-specific contributions on the neural basis of behavior. Since most of the available systems for this purpose are based on approaches that tether animals to a set of cables, recent research activities have been focused on minimizing external factors that can alter animal movements. Current wireless optogenetic systems are based on waveguide-coupled LED and implanted LEDs. However, each configuration separately suffers from significant limitations, such as low coupling efficiency, penetration depth and invasiveness of waveguide-coupled LED, and local heat generated by implanted μLEDs. This work presents a novel wireless head-mountable stimulating system for a wide-volume light delivery. The device couples the output of a semiconductor laser diode (LD) to a tapered optical fiber (TF) on a wireless platform. The LD-TF coupling was engineered by setting up far-field analysis, which allows the full exploitation of the mode division demultiplexing properties of TFs. The output delivered light along the tapered segment is capable of stimulating structures of depths up to ~2mm. TFs are tapered to a gradual taper angle (2° to 10°) that ends with a sharp tip (~500 nm) for smooth insertion and less invasiveness. Thus, the proposed system extends the capabilities of wireless optogenetic by offering a novel solution for wide volume light delivery in deep brain regions.
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28
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Kondrakiewicz K, Kostecki M, Szadzińska W, Knapska E. Ecological validity of social interaction tests in rats and mice. GENES BRAIN AND BEHAVIOR 2018; 18:e12525. [DOI: 10.1111/gbb.12525] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 09/20/2018] [Accepted: 10/08/2018] [Indexed: 02/03/2023]
Affiliation(s)
- Kacper Kondrakiewicz
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences; Warsaw Poland
| | - Mateusz Kostecki
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences; Warsaw Poland
| | - Weronika Szadzińska
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences; Warsaw Poland
| | - Ewelina Knapska
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences; Warsaw Poland
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29
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Drew PJ, Winder AT, Zhang Q. Twitches, Blinks, and Fidgets: Important Generators of Ongoing Neural Activity. Neuroscientist 2018; 25:298-313. [PMID: 30311838 DOI: 10.1177/1073858418805427] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Animals and humans continuously engage in small, spontaneous motor actions, such as blinking, whisking, and postural adjustments ("fidgeting"). These movements are accompanied by changes in neural activity in sensory and motor regions of the brain. The frequency of these motions varies in time, is affected by sensory stimuli, arousal levels, and pathology. These fidgeting behaviors can be entrained by sensory stimuli. Fidgeting behaviors will cause distributed, bilateral functional activation in the 0.01 to 0.1 Hz frequency range that will show up in functional magnetic resonance imaging and wide-field calcium neuroimaging studies, and will contribute to the observed functional connectivity among brain regions. However, despite the large potential of these behaviors to drive brain-wide activity, these fidget-like behaviors are rarely monitored. We argue that studies of spontaneous and evoked brain dynamics in awake animals and humans should closely monitor these fidgeting behaviors. Differences in these fidgeting behaviors due to arousal or pathology will "contaminate" ongoing neural activity, and lead to apparent differences in functional connectivity. Monitoring and accounting for the brain-wide activations by these behaviors is essential during experiments to differentiate fidget-driven activity from internally driven neural dynamics.
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Affiliation(s)
- Patrick J Drew
- Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA, USA.,Department of Neurosurgery and Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA
| | - Aaron T Winder
- Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA, USA
| | - Qingguang Zhang
- Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA, USA
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30
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Hu K, Jamali M, Moses ZB, Ortega CA, Friedman GN, Xu W, Williams ZM. Decoding unconstrained arm movements in primates using high-density electrocorticography signals for brain-machine interface use. Sci Rep 2018; 8:10583. [PMID: 30002452 PMCID: PMC6043557 DOI: 10.1038/s41598-018-28940-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 07/02/2018] [Indexed: 12/05/2022] Open
Abstract
Motor deficit is among the most debilitating aspects of injury to the central nervous system. Despite ongoing progress in brain-machine interface (BMI) development and in the functional electrical stimulation of muscles and nerves, little is understood about how neural signals in the brain may be used to potentially control movement in one’s own unconstrained paralyzed limb. We recorded from high-density electrocorticography (ECoG) electrode arrays in the ventral premotor cortex (PMv) of a rhesus macaque and used real-time motion tracking techniques to correlate spatial-temporal changes in neural activity with arm movements made towards objects in three-dimensional space at millisecond precision. We found that neural activity from a small number of electrodes within the PMv can be used to accurately predict reach-return movement onset and directionality. Also, whereas higher gamma frequency field activity was more predictive about movement direction during performance, mid-band (beta and low gamma) activity was more predictive of movement prior to onset. We speculate these dual spatiotemporal signals may be used to optimize both planning and execution of movement during natural reaching, with prospective relevance to the future development of neural prosthetics aimed at restoring motor control over one’s own paralyzed limb.
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Affiliation(s)
- Kejia Hu
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Hand Surgery, Huashan Hospital, Fudan University, Shanghai, China. .,Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Mohsen Jamali
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ziev B Moses
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Carlos A Ortega
- Behavioral Neuroscience Program, Northeastern University, Boston, MA, USA
| | - Gabriel N Friedman
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Wendong Xu
- Department of Hand Surgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Ziv M Williams
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Harvard-MIT Health Sciences and Technology, Cambridge, MA, USA. .,Harvard Medical School Program in Neuroscience, Boston, MA, USA.
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31
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Lee B, Koripalli MK, Jia Y, Acosta J, Sendi MSE, Choi Y, Ghovanloo M. An Implantable Peripheral Nerve Recording and Stimulation System for Experiments on Freely Moving Animal Subjects. Sci Rep 2018; 8:6115. [PMID: 29666407 PMCID: PMC5904113 DOI: 10.1038/s41598-018-24465-1] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 03/26/2018] [Indexed: 01/24/2023] Open
Abstract
A new study with rat sciatic nerve model for peripheral nerve interfacing is presented using a fully-implanted inductively-powered recording and stimulation system in a wirelessly-powered standard homecage that allows animal subjects move freely within the homecage. The Wireless Implantable Neural Recording and Stimulation (WINeRS) system offers 32-channel peripheral nerve recording and 4-channel current-controlled stimulation capabilities in a 3 × 1.5 × 0.5 cm3 package. A bi-directional data link is established by on-off keying pulse-position modulation (OOK-PPM) in near field for narrow-band downlink and 433 MHz OOK for wideband uplink. An external wideband receiver is designed by adopting a commercial software defined radio (SDR) for a robust wideband data acquisition on a PC. The WINeRS-8 prototypes in two forms of battery-powered headstage and wirelessly-powered implant are validated in vivo, and compared with a commercial system. In the animal study, evoked compound action potentials were recorded to verify the stimulation and recording capabilities of the WINeRS-8 system with 32-ch penetrating and 4-ch cuff electrodes on the sciatic nerve of awake freely-behaving rats. Compared to the conventional battery-powered system, WINeRS can be used in closed-loop recording and stimulation experiments over extended periods without adding the burden of carrying batteries on the animal subject or interrupting the experiment.
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Affiliation(s)
- Byunghun Lee
- Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, 30308, USA.,Incheon National University, Department of Electrical Engineering, Incheon, 22012, South Korea
| | - Mukhesh K Koripalli
- University of Texas, Rio Grande Valley, Department of Electrical Engineering, Edinburg, 78539, USA
| | - Yaoyao Jia
- Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, 30308, USA
| | - Joshua Acosta
- University of Texas, Rio Grande Valley, Department of Electrical Engineering, Edinburg, 78539, USA
| | - M S E Sendi
- Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, 30308, USA
| | - Yoonsu Choi
- University of Texas, Rio Grande Valley, Department of Electrical Engineering, Edinburg, 78539, USA
| | - Maysam Ghovanloo
- Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, 30308, USA.
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32
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Nagai M, Kato K, Oohara K, Shibata T. Pick-and-Place Operation of Single Cell Using Optical and Electrical Measurements for Robust Manipulation. MICROMACHINES 2017; 8:mi8120350. [PMID: 30400543 PMCID: PMC6187867 DOI: 10.3390/mi8120350] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Revised: 11/17/2017] [Accepted: 11/28/2017] [Indexed: 12/05/2022]
Abstract
A robust pick and placement operation of a single cell is necessary for efficient sample collection. Detection and manipulation of single cells requires minimum invasiveness. We report a less-invasive method for picking up and placing single cells using optical and electrical observations for robust cell manipulation. We measured the ionic current through a glass pipette during a cell capture and release operation to detect its capture. Trapping a cell on the pipette tip by suction decreased the current and allowed the detection of cell capture within 1 s. A time-series ionic current was sensitive to the location of a cell and effective at detecting a single cell. A time-series ionic current had a higher signal-to-noise ratio than time-series microscope images. Cell membrane integrity was analyzed at the different capturing and voltage conditions. Serum protein coating shows improvement of a cell release from a pipette tip. Measurement of trajectory and distance of a cell reveals that the movement depends on an ejection flow and the flow in a dish. We achieved a pick-up and placement operation for single cells that was compatible with an open-top microwell while performing observations using optical microscopy and measurements using an electrical current.
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Affiliation(s)
- Moeto Nagai
- Department of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan.
| | - Keita Kato
- Department of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan.
| | - Kiyotaka Oohara
- Department of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan.
| | - Takayuki Shibata
- Department of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan.
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33
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Raducanu BC, Yazicioglu RF, Lopez CM, Ballini M, Putzeys J, Wang S, Andrei A, Rochus V, Welkenhuysen M, Helleputte NV, Musa S, Puers R, Kloosterman F, Hoof CV, Fiáth R, Ulbert I, Mitra S. Time Multiplexed Active Neural Probe with 1356 Parallel Recording Sites. SENSORS (BASEL, SWITZERLAND) 2017; 17:E2388. [PMID: 29048396 PMCID: PMC5677417 DOI: 10.3390/s17102388] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 09/26/2017] [Accepted: 10/16/2017] [Indexed: 12/31/2022]
Abstract
We present a high electrode density and high channel count CMOS (complementary metal-oxide-semiconductor) active neural probe containing 1344 neuron sized recording pixels (20 µm × 20 µm) and 12 reference pixels (20 µm × 80 µm), densely packed on a 50 µm thick, 100 µm wide, and 8 mm long shank. The active electrodes or pixels consist of dedicated in-situ circuits for signal source amplification, which are directly located under each electrode. The probe supports the simultaneous recording of all 1356 electrodes with sufficient signal to noise ratio for typical neuroscience applications. For enhanced performance, further noise reduction can be achieved while using half of the electrodes (678). Both of these numbers considerably surpass the state-of-the art active neural probes in both electrode count and number of recording channels. The measured input referred noise in the action potential band is 12.4 µVrms, while using 678 electrodes, with just 3 µW power dissipation per pixel and 45 µW per read-out channel (including data transmission).
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Affiliation(s)
- Bogdan C Raducanu
- Imec, 3001 Leuven, Belgium.
- Electrical Engineering Department-ESAT, KU Leuven, 3001 Leuven, Belgium.
| | | | | | | | | | | | | | | | | | | | | | - Robert Puers
- Imec, 3001 Leuven, Belgium.
- Electrical Engineering Department-ESAT, KU Leuven, 3001 Leuven, Belgium.
| | - Fabian Kloosterman
- Faculty of Psychology and Educational Sciences, KU Leuven, 3000 Leuven, Belgium.
- Neuro-electronics Research Flanders, 3001 Leuven, Belgium.
- VIB, 3000 Leuven, Belgium.
| | - Chris van Hoof
- Imec, 3001 Leuven, Belgium.
- Electrical Engineering Department-ESAT, KU Leuven, 3001 Leuven, Belgium.
| | - Richárd Fiáth
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, H-1117 Budapest, Hungary.
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, H-1083 Budapest, Hungary.
| | - István Ulbert
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, H-1117 Budapest, Hungary.
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, H-1083 Budapest, Hungary.
| | - Srinjoy Mitra
- School of Engineering, University of Glasgow, Glasgow G10 8QQ, UK.
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34
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Stowers JR, Hofbauer M, Bastien R, Griessner J, Higgins P, Farooqui S, Fischer RM, Nowikovsky K, Haubensak W, Couzin ID, Tessmar-Raible K, Straw AD. Virtual reality for freely moving animals. Nat Methods 2017; 14:995-1002. [PMID: 28825703 PMCID: PMC6485657 DOI: 10.1038/nmeth.4399] [Citation(s) in RCA: 132] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 07/06/2017] [Indexed: 12/29/2022]
Abstract
Standard animal behavior paradigms incompletely mimic nature and thus limit our understanding of behavior and brain function. Virtual reality (VR) can help, but it poses challenges. Typical VR systems require movement restrictions but disrupt sensorimotor experience, causing neuronal and behavioral alterations. We report the development of FreemoVR, a VR system for freely moving animals. We validate immersive VR for mice, flies, and zebrafish. FreemoVR allows instant, disruption-free environmental reconfigurations and interactions between real organisms and computer-controlled agents. Using the FreemoVR platform, we established a height-aversion assay in mice and studied visuomotor effects in Drosophila and zebrafish. Furthermore, by photorealistically mimicking zebrafish we discovered that effective social influence depends on a prospective leader balancing its internally preferred directional choice with social interaction. FreemoVR technology facilitates detailed investigations into neural function and behavior through the precise manipulation of sensorimotor feedback loops in unrestrained animals.
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Affiliation(s)
- John R. Stowers
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
- loopbio gmbh, Kritzendorf, Austria
| | - Maximilian Hofbauer
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
- loopbio gmbh, Kritzendorf, Austria
- Max F. Perutz Laboratories, University of Vienna, Vienna, Austria
- Research Platform “Rhythms of Life”, University of Vienna, Vienna, Austria
| | - Renaud Bastien
- Department of Collective Behaviour, Max Planck Institute for Ornithology, 78457 Konstanz, Germany
- Chair of Biodiversity and Collective Behaviour, Department of Biology, University of Konstanz 78457, Konstanz, Germany
| | - Johannes Griessner
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
| | - Peter Higgins
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
| | - Sarfarazhussain Farooqui
- Max F. Perutz Laboratories, University of Vienna, Vienna, Austria
- Research Platform “Rhythms of Life”, University of Vienna, Vienna, Austria
- Medizinische Universität Wien, Dept. for Internal Medicine I, 1090 Wien, Austria
| | - Ruth M. Fischer
- Max F. Perutz Laboratories, University of Vienna, Vienna, Austria
| | - Karin Nowikovsky
- Medizinische Universität Wien, Dept. for Internal Medicine I, 1090 Wien, Austria
| | - Wulf Haubensak
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
| | - Iain D. Couzin
- Department of Collective Behaviour, Max Planck Institute for Ornithology, 78457 Konstanz, Germany
- Chair of Biodiversity and Collective Behaviour, Department of Biology, University of Konstanz 78457, Konstanz, Germany
| | - Kristin Tessmar-Raible
- Max F. Perutz Laboratories, University of Vienna, Vienna, Austria
- Research Platform “Rhythms of Life”, University of Vienna, Vienna, Austria
| | - Andrew D. Straw
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
- Institute of Biology I and Bernstein Center Freiburg, Faculty of Biology, Albert-Ludwigs-University Freiburg, Freiburg, Germany
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35
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The brain during free movement - What can we learn from the animal model. Brain Res 2017; 1716:3-15. [PMID: 28893579 DOI: 10.1016/j.brainres.2017.09.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 08/11/2017] [Accepted: 09/04/2017] [Indexed: 11/21/2022]
Abstract
Animals, just like humans, can freely move. They do so for various important reasons, such as finding food and escaping predators. Observing these behaviors can inform us about the underlying cognitive processes. In addition, while humans can convey complicated information easily through speaking, animals need to move their bodies to communicate. This has prompted many creative solutions by animal neuroscientists to enable studying the brain during movement. In this review, we first summarize how animal researchers record from the brain while an animal is moving, by describing the most common neural recording techniques in animals and how they were adapted to record during movement. We further discuss the challenge of controlling or monitoring sensory input during free movement. However, not only is free movement a necessity to reflect the outcome of certain internal cognitive processes in animals, it is also a fascinating field of research since certain crucial behavioral patterns can only be observed and studied during free movement. Therefore, in a second part of the review, we focus on some key findings in animal research that specifically address the interaction between free movement and brain activity. First, focusing on walking as a fundamental form of free movement, we discuss how important such intentional movements are for understanding processes as diverse as spatial navigation, active sensing, and complex motor planning. Second, we propose the idea of regarding free movement as the expression of a behavioral state. This view can help to understand the general influence of movement on brain function. Together, the technological advancements towards recording from the brain during movement, and the scientific questions asked about the brain engaged in movement, make animal research highly valuable to research into the human "moving brain".
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36
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Jiang Z, Huxter JR, Bowyer SA, Blockeel AJ, Butler J, Imtiaz SA, Wafford KA, Phillips KG, Tricklebank MD, Marston HM, Rodriguez-Villegas E. TaiNi: Maximizing research output whilst improving animals' welfare in neurophysiology experiments. Sci Rep 2017; 7:8086. [PMID: 28808347 PMCID: PMC5556067 DOI: 10.1038/s41598-017-08078-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 07/04/2017] [Indexed: 11/22/2022] Open
Abstract
Understanding brain function at the cell and circuit level requires representation of neuronal activity through multiple recording sites and at high sampling rates. Traditional tethered recording systems restrict movement and limit the environments suitable for testing, while existing wireless technology is still too heavy for extended recording in mice. Here we tested TaiNi, a novel ultra-lightweight (<2 g) low power wireless system allowing 72-hours of recording from 16 channels sampled at ~19.5 KHz (9.7 KHz bandwidth). We captured local field potentials and action-potentials while mice engaged in unrestricted behaviour in a variety of environments and while performing tasks. Data was synchronized to behaviour with sub-second precision. Comparisons with a state-of-the-art wireless system demonstrated a significant improvement in behaviour owing to reduced weight. Parallel recordings with a tethered system revealed similar spike detection and clustering. TaiNi represents a significant advance in both animal welfare in electrophysiological experiments, and the scope for continuously recording large amounts of data from small animals.
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Affiliation(s)
- Zhou Jiang
- Department of Electrical and Electronic Engineering, Imperial College London, London, UK.,TainiTec Ltd., Barking Road, London, UK
| | | | - Stuart A Bowyer
- Department of Electrical and Electronic Engineering, Imperial College London, London, UK.,TainiTec Ltd., Barking Road, London, UK
| | | | | | - Syed A Imtiaz
- Department of Electrical and Electronic Engineering, Imperial College London, London, UK.,TainiTec Ltd., Barking Road, London, UK
| | | | | | - Mark D Tricklebank
- Department of Neuroimaging Sciences, Institute of Psychiatry, Kings College London, London, UK
| | | | - Esther Rodriguez-Villegas
- Department of Electrical and Electronic Engineering, Imperial College London, London, UK. .,TainiTec Ltd., Barking Road, London, UK.
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37
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Abstract
Many biomedical research studies use captive animals to model human health and disease. However, a surprising number of studies show that the biological systems of animals living in standard laboratory housing are abnormal. To make animal studies more relevant to human health, research animals should live in the wild or be able to roam free in captive environments that offer a natural range of both positive and negative experiences. Recent technological advances now allow us to study freely roaming animals and we should make use of them.
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Affiliation(s)
- Garet P Lahvis
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, United States
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38
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Lebedev MA, Nicolelis MAL. Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. Physiol Rev 2017; 97:767-837. [PMID: 28275048 DOI: 10.1152/physrev.00027.2016] [Citation(s) in RCA: 233] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from neurophysiology, computer science, and engineering in an effort to establish real-time bidirectional links between living brains and artificial actuators. Although theoretical propositions and some proof of concept experiments on directly linking the brains with machines date back to the early 1960s, BMI research only took off in earnest at the end of the 1990s, when this approach became intimately linked to new neurophysiological methods for sampling large-scale brain activity. The classic goals of BMIs are 1) to unveil and utilize principles of operation and plastic properties of the distributed and dynamic circuits of the brain and 2) to create new therapies to restore mobility and sensations to severely disabled patients. Over the past decade, a wide range of BMI applications have emerged, which considerably expanded these original goals. BMI studies have shown neural control over the movements of robotic and virtual actuators that enact both upper and lower limb functions. Furthermore, BMIs have also incorporated ways to deliver sensory feedback, generated from external actuators, back to the brain. BMI research has been at the forefront of many neurophysiological discoveries, including the demonstration that, through continuous use, artificial tools can be assimilated by the primate brain's body schema. Work on BMIs has also led to the introduction of novel neurorehabilitation strategies. As a result of these efforts, long-term continuous BMI use has been recently implicated with the induction of partial neurological recovery in spinal cord injury patients.
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Jia Y, Mirbozorgi SA, Wang Z, Hsu CC, Madsen TE, Rainnie D, Ghovanloo M. Position and Orientation Insensitive Wireless Power Transmission for EnerCage-Homecage System. IEEE Trans Biomed Eng 2017; 64:2439-2449. [PMID: 28410095 DOI: 10.1109/tbme.2017.2691720] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
We have developed a new headstage architecture as part of a smart experimental arena, known as the EnerCage-HC2 system, which automatically delivers stimulation and collects behavioral data over extended periods with minimal small animal subject handling or personnel intervention in a standard rodent homecage. Equipped with a four-coil inductive link, the EnerCage-HC2 system wirelessly powers the receiver (Rx) headstage, irrespective of the subject's location or head orientation, eliminating the need for tethering or carrying bulky batteries. On the transmitter (Tx) side, a driver coil, five high-quality (Q) factor segmented resonators at different heights and orientations, and a closed-loop Tx power controller create a homogeneous electromagnetic (EM) field within the homecage 3-D space, and compensate for drops in power transfer efficiency (PTE) due to Rx misalignments. The headstage is equipped with four small slanted resonators, each covering a range of head orientations with respect to the Tx resonators, which direct the EM field toward the load coil at the bottom of the headstage. Moreover, data links based on Wi-Fi, UART, and Bluetooth low energy are utilized to enables remote communication and control of the Rx. The PTE varies within 23.6%-33.3% and 6.7%-10.1% at headstage heights of 8 and 20 cm, respectively, while continuously delivering >40 mW to the Rx electronics even at 90° rotation. As a proof of EnerCage-HC2 functionality in vivo, a previously documented on-demand electrical stimulation of the globus pallidus, eliciting consistent head rotation, is demonstrated in three freely behaving rats.
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Mei H, Thackston KA, Bercich RA, Jefferys JG, Irazoqui PP. Cavity Resonator Wireless Power Transfer System for Freely Moving Animal Experiments. IEEE Trans Biomed Eng 2017; 64:775-785. [DOI: 10.1109/tbme.2016.2576469] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Schonle P, Michoud F, Brun N, Guex A, Lacour SP, Wang Q, Huang Q. A wireless system with stimulation and recording capabilities for interfacing peripheral nerves in rodents. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2017; 2016:4439-4442. [PMID: 28269263 DOI: 10.1109/embc.2016.7591712] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Considerable progress has been made in the last decade in implantable bioelectronic neurosystems. Yet most neural implants are used in acute and tethered experimental conditions. Here, we present a preliminary prototype of a multichannel system for simultaneous peripheral nerve stimulation and neural recording. The system comprises miniaturized electronics with a total volume of less then 1.4cm3 including a 3.7V battery which is expected to last for 94 days of standby operation or 18 hours of continuous recording and stimulation. Data read-out and device configuration are wireless. Visceral nerves in rodents are interfaced with compliant extraneural electrodes. The 100×350μm2 electrodes display a low impedance (1.8kn at 1kHz) with a PEDOT:PSS coating. We validated the prototype in acute experiments by applying electrical stimulation to the aortic depressor nerve (ADN), resulting in effective and reproducible decrease in blood pressure and heart rate. The combination of miniaturized electronics and flexible electrodes makes the presented system a versatile platform for future implantable devices interfacing small peripheral nerves and potentially enables new applications in the field of neuroscience.
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Gagnon-Turcotte G, LeChasseur Y, Bories C, Messaddeq Y, De Koninck Y, Gosselin B. A Wireless Headstage for Combined Optogenetics and Multichannel Electrophysiological Recording. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2017; 11:1-14. [PMID: 27337721 DOI: 10.1109/tbcas.2016.2547864] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
This paper presents a wireless headstage with real-time spike detection and data compression for combined optogenetics and multichannel electrophysiological recording. The proposed headstage, which is intended to perform both optical stimulation and electrophysiological recordings simultaneously in freely moving transgenic rodents, is entirely built with commercial off-the-shelf components, and includes 32 recording channels and 32 optical stimulation channels. It can detect, compress and transmit full action potential waveforms over 32 channels in parallel and in real time using an embedded digital signal processor based on a low-power field programmable gate array and a Microblaze microprocessor softcore. Such a processor implements a complete digital spike detector featuring a novel adaptive threshold based on a Sigma-delta control loop, and a wavelet data compression module using a new dynamic coefficient re-quantization technique achieving large compression ratios with higher signal quality. Simultaneous optical stimulation and recording have been performed in-vivo using an optrode featuring 8 microelectrodes and 1 implantable fiber coupled to a 465-nm LED, in the somatosensory cortex and the Hippocampus of a transgenic mouse expressing ChannelRhodospin (Thy1::ChR2-YFP line 4) under anesthetized conditions. Experimental results show that the proposed headstage can trigger neuron activity while collecting, detecting and compressing single cell microvolt amplitude activity from multiple channels in parallel while achieving overall compression ratios above 500. This is the first reported high-channel count wireless optogenetic device providing simultaneous optical stimulation and recording. Measured characteristics show that the proposed headstage can achieve up to 100% of true positive detection rate for signal-to-noise ratio (SNR) down to 15 dB, while achieving up to 97.28% at SNR as low as 5 dB. The implemented prototype features a lifespan of up to 105 minutes, and uses a lightweight (2.8 g) and compact [Formula: see text] rigid-flex printed circuit board.
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Miao P, Zhang L, Li M, Zhang Y, Feng S, Wang Q, Thakor NV. Chronic wide-field imaging of brain hemodynamics in behaving animals. BIOMEDICAL OPTICS EXPRESS 2017; 8:436-445. [PMID: 28101429 PMCID: PMC5231311 DOI: 10.1364/boe.8.000436] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Revised: 12/03/2016] [Accepted: 12/09/2016] [Indexed: 05/21/2023]
Abstract
Chronically monitoring cerebral activities in awake and freely moving status is very important in physiological and pathological studies. We present a novel standalone micro-imager for monitoring the cerebral blood flow (CBF) and total hemoglobin (HbT) activities in freely moving animals using the laser speckle contrast imaging (LSCI) and optical intrinsic signal (OIS) methods. A new cranial window method, using contact lens and wide field optics, is also proposed to achieve the chronic and wide-field imaging of rat's cerebral cortex. The hemodynamic activities of rats' cortex were measured for the first time without restriction of cables or fibers in awake and behaving animals. Chronic imaging showed the increase of CBF and HbT in motor cortex when the rats were climbing on the cage wall. Interestingly, the CBF activation of supplying vessel was smaller than that of parenchyma. Furthermore, after the climbing, CBF demonstrated fully return to the baseline while HbT showed a delayed recovery. The standalone micro-imager technology provides new possibilities of brain imaging in cognitive neuroscience studies.
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Affiliation(s)
- Peng Miao
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA;
| | - Lingke Zhang
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
| | - Miao Li
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
| | - Yiguang Zhang
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
| | - Shihan Feng
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
| | - Qihong Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Nitish V Thakor
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA;
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Limnuson K, Narayan RK, Chiluwal A, Golanov EV, Bouton CE, Li C. A User-Configurable Headstage for Multimodality Neuromonitoring in Freely Moving Rats. Front Neurosci 2016; 10:382. [PMID: 27594826 PMCID: PMC4990626 DOI: 10.3389/fnins.2016.00382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2016] [Accepted: 08/05/2016] [Indexed: 11/21/2022] Open
Abstract
Multimodal monitoring of brain activity, physiology, and neurochemistry is an important approach to gain insight into brain function, modulation, and pathology. With recent progress in micro- and nanotechnology, micro-nano-implants have become important catalysts in advancing brain research. However, to date, only a limited number of brain parameters have been measured simultaneously in awake animals in spite of significant recent progress in sensor technology. Here we have provided a cost and time effective approach to designing a headstage to conduct a multimodality brain monitoring in freely moving animals. To demonstrate this method, we have designed a user-configurable headstage for our micromachined multimodal neural probe. The headstage can reliably record direct-current electrocorticography (DC-ECoG), brain oxygen tension (PbrO2), cortical temperature, and regional cerebral blood flow (rCBF) simultaneously without significant signal crosstalk or movement artifacts for 72 h. Even in a noisy environment, it can record low-level neural signals with high quality. Moreover, it can easily interface with signal conditioning circuits that have high power consumption and are difficult to miniaturize. To the best of our knowledge, this is the first time where multiple physiological, biochemical, and electrophysiological cerebral variables have been simultaneously recorded from freely moving rats. We anticipate that the developed system will aid in gaining further insight into not only normal cerebral functioning but also pathophysiology of conditions such as epilepsy, stroke, and traumatic brain injury.
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Affiliation(s)
- Kanokwan Limnuson
- Cushing Neuromonitoring Laboratory, The Feinstein Institute for Medical Research Manhasset, NY, USA
| | - Raj K Narayan
- Cushing Neuromonitoring Laboratory, The Feinstein Institute for Medical ResearchManhasset, NY, USA; Department of Neurosurgery, Hofstra Northwell School of MedicineHempstead, NY, USA
| | - Amrit Chiluwal
- Department of Neurosurgery, Hofstra Northwell School of Medicine Hempstead, NY, USA
| | - Eugene V Golanov
- Cushing Neuromonitoring Laboratory, The Feinstein Institute for Medical Research Manhasset, NY, USA
| | - Chad E Bouton
- Center for Bioelectronic Medicine, The Feinstein Institute for Medical Research Manhasset, NY, USA
| | - Chunyan Li
- Cushing Neuromonitoring Laboratory, The Feinstein Institute for Medical ResearchManhasset, NY, USA; Department of Neurosurgery, Hofstra Northwell School of MedicineHempstead, NY, USA; Center for Bioelectronic Medicine, The Feinstein Institute for Medical ResearchManhasset, NY, USA
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Seo D, Neely RM, Shen K, Singhal U, Alon E, Rabaey JM, Carmena JM, Maharbiz MM. Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust. Neuron 2016; 91:529-39. [DOI: 10.1016/j.neuron.2016.06.034] [Citation(s) in RCA: 316] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Revised: 03/30/2016] [Accepted: 06/21/2016] [Indexed: 11/15/2022]
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Soltani N, Aliroteh MS, Salam MT, Perez Velazquez JL, Genov R. Low-Radiation Cellular Inductive Powering of Rodent Wireless Brain Interfaces: Methodology and Design Guide. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2016; 10:920-932. [PMID: 26960227 DOI: 10.1109/tbcas.2015.2502840] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
This paper presents a general methodology of inductive power delivery in wireless chronic rodent electrophysiology applications. The focus is on such systems design considerations under the following key constraints: maximum power delivery under the allowable specific absorption rate (SAR), low cost and spatial scalability. The methodology includes inductive coil design considerations within a low-frequency ferrite-core-free power transfer link which includes a scalable coil-array power transmitter floor and a single-coil implanted or worn power receiver. A specific design example is presented that includes the concept of low-SAR cellular single-transmitter-coil powering through dynamic tracking of a magnet-less receiver spatial location. The transmitter coil instantaneous supply current is monitored using a small number of low-cost electronic components. A drop in its value indicates the proximity of the receiver due to the reflected impedance of the latter. Only the transmitter coil nearest to the receiver is activated. Operating at the low frequency of 1.5 MHz, the inductive powering floor delivers a maximum of 15.9 W below the IEEE C95 SAR limit, which is over three times greater than that in other recently reported designs. The power transfer efficiency of 39% and 13% at the nominal and maximum distances of 8 cm and 11 cm, respectively, is maintained.
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Tang J, Dai X, Jiang H. Wearable scanning photoacoustic brain imaging in behaving rats. JOURNAL OF BIOPHOTONICS 2016; 9:570-575. [PMID: 26777064 DOI: 10.1002/jbio.201500311] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2015] [Revised: 12/29/2015] [Accepted: 12/30/2015] [Indexed: 06/05/2023]
Abstract
A wearable scanning photoacoustic imaging (wPAI) system is presented for noninvasive brain study in behaving rats. This miniaturized wPAI system consists of four pico linear servos and a single transducer-based PAI probe. It has a dimension of 50 mm × 35 mm × 40 mm, and a weight of 26 g excluding cablings. Phantom evaluation shows that wPAI achieves a lateral resolution of ∼0.5 mm and an axial resolution of ∼0.1 mm at a depth of up to 11 mm. Its imaging ability is also tested in a behaving rat, and the results indicate that wPAI is able to image blood vessels at a depth of up to 5 mm with intact scalp and skull. With its noninvasive, deep penetration, and functional imaging ability in behaving animals, wPAI can be used for behavior, cognition, and preclinical brain disease studies.
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Affiliation(s)
- Jianbo Tang
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA
| | - Xianjin Dai
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA
| | - Huabei Jiang
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
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Wearable 3-D Photoacoustic Tomography for Functional Brain Imaging in Behaving Rats. Sci Rep 2016; 6:25470. [PMID: 27146026 PMCID: PMC4857106 DOI: 10.1038/srep25470] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 04/18/2016] [Indexed: 01/11/2023] Open
Abstract
Understanding the relationship between brain function and behavior remains a major challenge in neuroscience. Photoacoustic tomography (PAT) is an emerging technique that allows for noninvasive in vivo brain imaging at micrometer-millisecond spatiotemporal resolution. In this article, a novel, miniaturized 3D wearable PAT (3D-wPAT) technique is described for brain imaging in behaving rats. 3D-wPAT has three layers of fully functional acoustic transducer arrays. Phantom imaging experiments revealed that the in-plane X-Y spatial resolutions were ~200 μm for each acoustic detection layer. The functional imaging capacity of 3D-wPAT was demonstrated by mapping the cerebral oxygen saturation via multi-wavelength irradiation in behaving hyperoxic rats. In addition, we demonstrated that 3D-wPAT could be used for monitoring sensory stimulus-evoked responses in behaving rats by measuring hemodynamic responses in the primary visual cortex during visual stimulation. Together, these results show the potential of 3D-wPAT for brain study in behaving rodents.
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Longitudinal study of preterm and full-term infants: High-density EEG analyses of cortical activity in response to visual motion. Neuropsychologia 2016; 84:89-104. [DOI: 10.1016/j.neuropsychologia.2016.02.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2015] [Revised: 01/14/2016] [Accepted: 02/03/2016] [Indexed: 11/21/2022]
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