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Gerasimova SA, Beltyukova A, Fedulina A, Matveeva M, Lebedeva AV, Pisarchik AN. Living-Neuron-Based Autogenerator. SENSORS (BASEL, SWITZERLAND) 2023; 23:7016. [PMID: 37631552 PMCID: PMC10458024 DOI: 10.3390/s23167016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 08/01/2023] [Accepted: 08/05/2023] [Indexed: 08/27/2023]
Abstract
We present a novel closed-loop system designed to integrate biological and artificial neurons of the oscillatory type into a unified circuit. The system comprises an electronic circuit based on the FitzHugh-Nagumo model, which provides stimulation to living neurons in acute hippocampal mouse brain slices. The local field potentials generated by the living neurons trigger a transition in the FitzHugh-Nagumo circuit from an excitable state to an oscillatory mode, and in turn, the spikes produced by the electronic circuit synchronize with the living-neuron spikes. The key advantage of this hybrid electrobiological autogenerator lies in its capability to control biological neuron signals, which holds significant promise for diverse neuromorphic applications.
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Affiliation(s)
- Svetlana A. Gerasimova
- Department of Control Theory and System Dynamics, Neurotechnology Department, National Research Lobachevsky State University of Nizhny Novgorod, 603022 Nizhny Novgorod, Russia
| | - Anna Beltyukova
- Department of Control Theory and System Dynamics, Neurotechnology Department, National Research Lobachevsky State University of Nizhny Novgorod, 603022 Nizhny Novgorod, Russia
| | - Anastasia Fedulina
- Department of Control Theory and System Dynamics, Neurotechnology Department, National Research Lobachevsky State University of Nizhny Novgorod, 603022 Nizhny Novgorod, Russia
| | - Maria Matveeva
- Department of Control Theory and System Dynamics, Neurotechnology Department, National Research Lobachevsky State University of Nizhny Novgorod, 603022 Nizhny Novgorod, Russia
| | - Albina V. Lebedeva
- Department of Control Theory and System Dynamics, Neurotechnology Department, National Research Lobachevsky State University of Nizhny Novgorod, 603022 Nizhny Novgorod, Russia
| | - Alexander N. Pisarchik
- Center for Biomedical Technology, Universidad Politécnica de Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain
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2
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Mintz Hemed N, Melosh NA. An integrated perspective for the diagnosis and therapy of neurodevelopmental disorders - From an engineering point of view. Adv Drug Deliv Rev 2023; 194:114723. [PMID: 36746077 DOI: 10.1016/j.addr.2023.114723] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 12/14/2022] [Accepted: 01/29/2023] [Indexed: 02/05/2023]
Abstract
Neurodevelopmental disorders (NDDs) are complex conditions with largely unknown pathophysiology. While many NDD symptoms are familiar, the cause of these disorders remains unclear and may involve a combination of genetic, biological, psychosocial, and environmental risk factors. Current diagnosis relies heavily on behaviorally defined criteria, which may be biased by the clinical team's professional and cultural expectations, thus a push for new biological-based biomarkers for NDDs diagnosis is underway. Emerging new research technologies offer an unprecedented view into the electrical, chemical, and physiological activity in the brain and with further development in humans may provide clinically relevant diagnoses. These could also be extended to new treatment options, which can start to address the underlying physiological issues. When combined with current speech, language, occupational therapy, and pharmacological treatment these could greatly improve patient outcomes. The current review will discuss the latest technologies that are being used or may be used for NDDs diagnosis and treatment. The aim is to provide an inspiring and forward-looking view for future research in the field.
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Affiliation(s)
- Nofar Mintz Hemed
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA.
| | - Nicholas A Melosh
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA
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3
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Ali L, Kilic H, Öztüren A. From disabled tourists to impaired cyborg tourists: What would it take to transform? UNIVERSAL ACCESS IN THE INFORMATION SOCIETY 2023:1-18. [PMID: 36789138 PMCID: PMC9910771 DOI: 10.1007/s10209-023-00970-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Despite the media reports and governments promoting tourism as a fundamental right for everyone, traveling is still not accessible for disabled people. This study has highlighted the need to make tourists with disabilities accessable for inaccessible destinations. Cyborg products in the form of technological implants can make tourists with disabilities accessable for inaccessible destinations. Since tourists with a mobility disability (TMD) will be one of the primary beneficiaries of technological implants, little is known about their acceptance of technological implants during traveling.Therefore, this study assesses the willingness of TMD to use technological implants during traveling through a qualitative research approach. The results from thematic analysis identified two main themes: the use of assistive devices during traveling with four sub-themes (freedom of traveling, physical and attitudinal barriers, cost, and additional assistance and battery issues), and drivers of impaired cyborg tourists with seven sub-themes (independence, improved well-being, convenience/ease of use, social inclusion, positive emotions, motivation, and other issues). The study contributed to the literature by introducing drivers of impaired cyborg tourists along with previously identified concepts. The results also provided implications for the stakeholders of the tourism industry.
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Affiliation(s)
- Laiba Ali
- Faculty of Tourism, Eastern Mediterranean University, Famagusta, North Cyprus Turkey
| | - Hasan Kilic
- Faculty of Tourism, Eastern Mediterranean University, Famagusta, North Cyprus Turkey
| | - Ali Öztüren
- Faculty of Tourism, Eastern Mediterranean University, Famagusta, North Cyprus Turkey
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4
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Pavlov VA, Tracey KJ. Bioelectronic medicine: Preclinical insights and clinical advances. Neuron 2022; 110:3627-3644. [PMID: 36174571 PMCID: PMC10155266 DOI: 10.1016/j.neuron.2022.09.003] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 07/28/2022] [Accepted: 09/02/2022] [Indexed: 11/17/2022]
Abstract
The nervous system maintains homeostasis and health. Homeostatic disruptions underlying the pathobiology of many diseases can be controlled by bioelectronic devices targeting CNS and peripheral neural circuits. New insights into the regulatory functions of the nervous system and technological developments in bioelectronics drive progress in the emerging field of bioelectronic medicine. Here, we provide an overview of key aspects of preclinical research, translation, and clinical advances in bioelectronic medicine.
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Affiliation(s)
- Valentin A Pavlov
- Institute of Bioelectronic Medicine, the Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA; Elmezzi Graduate School of Molecular Medicine, Northwell Health, Manhasset, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
| | - Kevin J Tracey
- Institute of Bioelectronic Medicine, the Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA; Elmezzi Graduate School of Molecular Medicine, Northwell Health, Manhasset, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
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5
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Koverola M, Kunnari A, Drosinou M, Palomäki J, Hannikainen IR, Jirout Košová M, Kopecký R, Sundvall J, Laakasuo M. Treatments approved, boosts eschewed: Moral limits of neurotechnological enhancement. JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY 2022. [DOI: 10.1016/j.jesp.2022.104351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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6
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Kim HJ, Ho JS. Wireless interfaces for brain neurotechnologies. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2022; 380:20210020. [PMID: 35658679 DOI: 10.1098/rsta.2021.0020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/13/2021] [Indexed: 06/15/2023]
Abstract
Wireless interfaces enable brain-implanted devices to remotely interact with the external world. They are critical components in modern research and clinical neurotechnologies and play a central role in determining their overall size, lifetime and functionality. Wireless interfaces use a wide range of modalities-including radio-frequency fields, acoustic waves and light-to transfer energy and data to and from an implanted device. These forms of energy interact with living tissue through distinct mechanisms and therefore lead to systems with vastly different form factors, operating characteristics, and safety considerations. This paper reviews recent advances in the development of wireless interfaces for brain neurotechnologies. We summarize the requirements that state-of-the-art brain-implanted devices impose on the wireless interface, and discuss the working principles and applications of wireless interfaces based on each modality. We also investigate challenges associated with wireless brain neurotechnologies and discuss emerging solutions permitted by recent developments in electrical engineering and materials science. This article is part of the theme issue 'Advanced neurotechnologies: translating innovation for health and well-being'.
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Affiliation(s)
- Han-Joon Kim
- Department of Electrical and Computer Engineering National University of Singapore, Queenstown, Singapore
| | - John S Ho
- Department of Electrical and Computer Engineering National University of Singapore, Queenstown, Singapore
- The N.1 Institute for Health National University of Singapore, Queenstown, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Queenstown, Singapore
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7
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Chandrasekaran S, Fifer M, Bickel S, Osborn L, Herrero J, Christie B, Xu J, Murphy RKJ, Singh S, Glasser MF, Collinger JL, Gaunt R, Mehta AD, Schwartz A, Bouton CE. Historical perspectives, challenges, and future directions of implantable brain-computer interfaces for sensorimotor applications. Bioelectron Med 2021; 7:14. [PMID: 34548098 PMCID: PMC8456563 DOI: 10.1186/s42234-021-00076-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 08/29/2021] [Indexed: 11/10/2022] Open
Abstract
Almost 100 years ago experiments involving electrically stimulating and recording from the brain and the body launched new discoveries and debates on how electricity, movement, and thoughts are related. Decades later the development of brain-computer interface technology began, which now targets a wide range of applications. Potential uses include augmentative communication for locked-in patients and restoring sensorimotor function in those who are battling disease or have suffered traumatic injury. Technical and surgical challenges still surround the development of brain-computer technology, however, before it can be widely deployed. In this review we explore these challenges, historical perspectives, and the remarkable achievements of clinical study participants who have bravely forged new paths for future beneficiaries.
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Affiliation(s)
- Santosh Chandrasekaran
- Neural Bypass and Brain Computer Interface Laboratory, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Matthew Fifer
- Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Stephan Bickel
- The Human Brain Mapping Laboratory, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
- Department of Neurosurgery, Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
- Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Luke Osborn
- Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Jose Herrero
- The Human Brain Mapping Laboratory, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Breanne Christie
- Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Junqian Xu
- Departments of Radiology and Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Rory K J Murphy
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, USA
| | - Sandeep Singh
- Good Shepherd Rehabilitation Hospital, Allentown, PA, USA
| | - Matthew F Glasser
- Departments of Radiology and Neuroscience, Washington University in St Louis, Saint Louis, MO, USA
| | - Jennifer L Collinger
- Rehabilitation Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
| | - Robert Gaunt
- Rehabilitation Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashesh D Mehta
- The Human Brain Mapping Laboratory, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
- Department of Neurosurgery, Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Andrew Schwartz
- McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Chad E Bouton
- Neural Bypass and Brain Computer Interface Laboratory, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.
- Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA.
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8
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Bak MS, Park H, Kim SK. Neural Plasticity in the Brain during Neuropathic Pain. Biomedicines 2021; 9:624. [PMID: 34072638 PMCID: PMC8228570 DOI: 10.3390/biomedicines9060624] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 01/02/2023] Open
Abstract
Neuropathic pain is an intractable chronic pain, caused by damage to the somatosensory nervous system. To date, treatment for neuropathic pain has limited effects. For the development of efficient therapeutic methods, it is essential to fully understand the pathological mechanisms of neuropathic pain. Besides abnormal sensitization in the periphery and spinal cord, accumulating evidence suggests that neural plasticity in the brain is also critical for the development and maintenance of this pain. Recent technological advances in the measurement and manipulation of neuronal activity allow us to understand maladaptive plastic changes in the brain during neuropathic pain more precisely and modulate brain activity to reverse pain states at the preclinical and clinical levels. In this review paper, we discuss the current understanding of pathological neural plasticity in the four pain-related brain areas: the primary somatosensory cortex, the anterior cingulate cortex, the periaqueductal gray, and the basal ganglia. We also discuss potential treatments for neuropathic pain based on the modulation of neural plasticity in these brain areas.
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Affiliation(s)
- Myeong Seong Bak
- Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul 02447, Korea; (M.S.B.); (H.P.)
| | - Haney Park
- Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul 02447, Korea; (M.S.B.); (H.P.)
| | - Sun Kwang Kim
- Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul 02447, Korea; (M.S.B.); (H.P.)
- Department of Physiology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea
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9
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Fiani B, Reardon T, Ayres B, Cline D, Sitto SR. An Examination of Prospective Uses and Future Directions of Neuralink: The Brain-Machine Interface. Cureus 2021; 13:e14192. [PMID: 33936901 PMCID: PMC8083990 DOI: 10.7759/cureus.14192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
The human brain is one of the most mystifying biological structures in nature. Overwhelming research, technology, and innovations in neuroscience have augmented clinical assessments, diagnosis, and treatment capabilities. Nonetheless, there is still much to be discovered about nervous system disorders and defects. Neuralink, a neurotechnology company, is advancing the field of neuroscience and neuroengineering. The company’s initial aim is to develop an implantable brain-machine interface device that will enhance the lives of people with severe brain and spinal cord injuries. Here, we provide insight into Neuralink’s design, early testing, and future applications in neurosurgery. While early testing with small and large animals show promising results, no clinical trials have been conducted to date. Additionally, a term search for “Neuralink” was performed in PubMed. The literature search yielded only 28 references, of which most indirectly mentioned the device but not in direct testing. In order to conclude the safety and viability of the Neuralink device, further research studies are needed to move forward beyond speculation.
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Affiliation(s)
- Brian Fiani
- Neurosurgery, Desert Regional Medical Center, Palm Springs, USA
| | - Taylor Reardon
- Medicine, University of Pikeville-Kentucky College of Osteopathic Medicine, Pikeville, USA
| | - Benjamin Ayres
- Medicine, University of Pikeville-Kentucky College of Osteopathic Medicine, Pikeville, USA
| | - David Cline
- Medicine, University of Pikeville-Kentucky College of Osteopathic Medicine, Pikeville, USA
| | - Sarah R Sitto
- Medicine, Lyman Briggs College, Michigan State University, East Lansing, USA
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10
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Pardo M, Roberts ER, Pimentel K, Yildirim YA, Navarrete B, Wang P, Zhang E, Liang P, Khizroev S. Size-dependent intranasal administration of magnetoelectric nanoparticles for targeted brain localization. NANOMEDICINE : NANOTECHNOLOGY, BIOLOGY, AND MEDICINE 2021; 32:102337. [PMID: 33197627 DOI: 10.1016/j.nano.2020.102337] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/05/2020] [Accepted: 11/06/2020] [Indexed: 01/09/2023]
Abstract
The brain is a massive network of neurons which are interconnected through chemical and electrical field oscillations. It is hard to overestimate the significance of the ability to control chemical and physical properties of the network at both the collective and single-cell levels. Most psychiatric and neurodegenerative diseases are typically characterized by certain aberrations of these oscillations. Recently, magnetoelectric nanoparticles (MENs) have been introduced to achieve the desired control. MENs effectively enable wirelessly controlled nanoelectrodes deep in the brain. Although MENs have been shown to cross the blood-brain barrier via intravenous (IV) administration, achieving adequate efficacy of the delivery remains an open question. Herein, through in vivo studies on a mouse model, we demonstrate at least a 4-fold improved efficacy of the targeted delivery of MENs across BBB via intranasal administration compared to an equivalent IV administration.
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Affiliation(s)
- Marta Pardo
- University of Miami Miller School of Medicine, Department of Neurology and Molecular and Cellular Pharmacology, Miami, FL, USA.
| | - Evan R Roberts
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Krystine Pimentel
- Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL
| | - Yagmur Akin Yildirim
- Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL
| | - Brayan Navarrete
- Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL
| | - Ping Wang
- Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL
| | - Elric Zhang
- Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL
| | | | - Sakhrat Khizroev
- Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL
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11
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Sustainable Digital Transformation of Disaster Risk—Integrating New Types of Digital Social Vulnerability and Interdependencies with Critical Infrastructure. SUSTAINABILITY 2020. [DOI: 10.3390/su12229324] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This article explores the relationship between digital transformation and disaster risk. Vulnerability studies aim at differentiating impacts and losses by using fine-grained information from demographic, social, and personal characteristics of humans. With ongoing digital development, these characteristics will transform and result in new traits, which need to be identified and integrated. Digital transformations will produce new social groups, partly human, semi-human, or non-human—some of which already exist, and some which can be foreseen by extrapolating from recent developments in the field of brain wearables, robotics, and software engineering. Though involved in the process of digital transformation, many researchers and practitioners in the field of Disaster Risk Reduction or Climate Change Adaptation are not yet aware of the repercussions for disaster and vulnerability assessments. Emerging vulnerabilities are due to a growing dependency on digital services and tools in the case of a severe emergency or crisis. This article depicts the different implications for future theoretical frameworks when identifying novel semi-human groups and their vulnerabilities to disaster risks. Findings include assumed changes within common indicators of social vulnerability, new indicators, a typology of humans, and human interrelations with digital extensions and two different perspectives on these groups and their dependencies with critical infrastructure.
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12
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Hramov AE, Grubov V, Badarin A, Maksimenko VA, Pisarchik AN. Functional Near-Infrared Spectroscopy for the Classification of Motor-Related Brain Activity on the Sensor-Level. SENSORS 2020; 20:s20082362. [PMID: 32326270 PMCID: PMC7219246 DOI: 10.3390/s20082362] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/18/2020] [Accepted: 04/20/2020] [Indexed: 11/21/2022]
Abstract
Sensor-level human brain activity is studied during real and imaginary motor execution using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation spatial dynamics exhibit pronounced hemispheric lateralization when performing motor tasks with the left and right hands. This fact allowed us to reveal biomarkers of hemodynamical response of the motor cortex on the motor execution, and use them for designing a sensing method for classification of the type of movement. The recognition accuracy of real movements is close to 100%, while the classification accuracy of imaginary movements is lower but quite high (at the level of 90%). The advantage of the proposed method is its ability to classify real and imaginary movements with sufficiently high efficiency without the need for recalculating parameters. The proposed system can serve as a sensor of motor activity to be used for neurorehabilitation after severe brain injuries, including traumas and strokes.
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Affiliation(s)
- Alexander E. Hramov
- Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Universitetskaja Str., 1, 420500 Innopolis, Russia; (V.G.); (A.B.); (V.A.M.); (A.N.P.)
- Saratov State Medical University, Bolshaya Kazachya Str., 112, 410012 Saratov, Russia
- Correspondence: ; Tel.: +7-927-123-3294
| | - Vadim Grubov
- Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Universitetskaja Str., 1, 420500 Innopolis, Russia; (V.G.); (A.B.); (V.A.M.); (A.N.P.)
| | - Artem Badarin
- Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Universitetskaja Str., 1, 420500 Innopolis, Russia; (V.G.); (A.B.); (V.A.M.); (A.N.P.)
| | - Vladimir A. Maksimenko
- Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Universitetskaja Str., 1, 420500 Innopolis, Russia; (V.G.); (A.B.); (V.A.M.); (A.N.P.)
| | - Alexander N. Pisarchik
- Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Universitetskaja Str., 1, 420500 Innopolis, Russia; (V.G.); (A.B.); (V.A.M.); (A.N.P.)
- Center for Biomedical Technology, Technical University of Madrid, Campus Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
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Eysenbach G. Celebrating 20 Years of Open Access and Innovation at JMIR Publications. J Med Internet Res 2019; 21:e17578. [PMID: 31868653 PMCID: PMC6945123 DOI: 10.2196/17578] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 12/20/2019] [Indexed: 01/23/2023] Open
Abstract
In this 20th anniversary theme issue, we are celebrating how JMIR Publications, an innovative publisher deeply rooted in academia and created by scientists for scientists, pioneered the open access model, is advancing digital health research, is disrupting the scholarly publishing world, and is helping to empower patients. All this has been made possible by the disintermediating power of the internet. And we are not done innovating: Our new series of "superjournals," called JMIRx, will provide a glimpse into what we see as the future and end goal in scholarly publishing: open science. In this model, the vast majority of papers will be published on preprint servers first, with "overlay" journals then competing to peer review and publish peer-reviewed "versions of record" of the best papers.
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