128 resources related to Neuroplasticity
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The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
Flagship conference of the robotics and automation society, a premiere international venue for international robotics researchers
The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronic devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
The goal of IEEE Transactions on Multimedia is to integrate all aspects of multimedia systems and technology, signal processing, and applications. It will cover various aspects of research in multimedia technology and applications including, but not limited to: circuits, algorithms and macro/micro-architectures, software, detailed design, synchronization, interaction, joint processing and coordination of multimedia and multimodal signals/data, compression, storage, retrieval, communication, ...
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
We aimed to investigate the effects of an antigravity treadmill (AlterG) on the balance and structure of the vestibulospinal tract. The AlterG can reduce the weightbearing of patients and hence can facilitate their locomotion. Three children with cerebral palsy (CP) received AlterG training three days per week for eight weeks with each session lasting 45 minutes. The balance of children ...
19th International Symposium in Robot and Human Interactive Communication, 2010
It is well-known that virtual reality (VR) is a powerful and promising computer-based technology for the motor recovery in stroke patients. The importance of using VR into arm rehabilitation has coined it as clinical VR; where its main sake is to improve the recovery process of post-stroke patients. In this regard, physical therapy and occupational therapy are provided by such ...
2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 2015
Rehabilitation of motor impairment after stroke has an important medical value. However, the present stroke rehabilitation mainly are passive, its efficacy is limited. The BCI-FES system focused on the limit of passive stroke rehabilitation, combined with motor imagery (MI) and functional electrical stimulation (FES), through the pattern recognition of motor imagery mode of patients with EEG signal, generated FES signal. ...
2016 Cognitive Sciences, Genomics and Bioinformatics (CSGB), 2016
The results of a pilot study of neuroelectrostimulation impact using the original field of the current pulses on the attention parameters, which are some of the main characteristics of the learning process. Method of dynamic correction of the activity of the sympathetic nervous system implemented with the help of neuroelectrostimulation is proposed to improve cognitive characteristics. It is shown that ...
2015 International Conference on Virtual Rehabilitation (ICVR), 2015
Dr. Merzenich's research interests have included the functional organization of the somatosensory and auditory nervous systems; the neurological bases of - and rules governing-learning-induced cortical plasticity; and the neurological origins of and remediation of developmental and acquired impairments in language, reading, memory, attention, cognitive control, and movement. His research teams have extensively modeled changes induced in the brain a) following ...
We aimed to investigate the effects of an antigravity treadmill (AlterG) on the balance and structure of the vestibulospinal tract. The AlterG can reduce the weightbearing of patients and hence can facilitate their locomotion. Three children with cerebral palsy (CP) received AlterG training three days per week for eight weeks with each session lasting 45 minutes. The balance of children was evaluated using the Berg balance test and the Timed Up and Go (TUG) test. The diffusion tensor imaging (DTI) method was employed to quantify changes of the structure of the vestibulospinal tract. Evaluations were performed before and after the 8-week training. DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD) were measured to evaluate the vestibulospinal tract structure. The results showed that the mean FA of the vestibulospinal tract increased and other metrics decreased for all subjects. Our findings indicated that the balance and structure of the vestibulospinal tract were improved up to 30% for all children following the 8-week AlterG training. This indicates that the balance improvement of the CP children following the AlterG training was accompanied with persistent neuroplasticity in their brain. The clinical implication is that the AlterG training has a potential to be used as an effective therapeutic tool for the treatment of balance impairment in CP children.
It is well-known that virtual reality (VR) is a powerful and promising computer-based technology for the motor recovery in stroke patients. The importance of using VR into arm rehabilitation has coined it as clinical VR; where its main sake is to improve the recovery process of post-stroke patients. In this regard, physical therapy and occupational therapy are provided by such technology. As we shall see into this contribution, interesting clinical VR applications have been designed for handling effectively the brain plasticity in chronic stroke patients. To this end, we use the so-called Light-Exoskeleton which has been presented for arm-robotic therapy such that it serves as the kinesthetic feedback stimulator for assisting the patient during the rehabilitation sessions.
Rehabilitation of motor impairment after stroke has an important medical value. However, the present stroke rehabilitation mainly are passive, its efficacy is limited. The BCI-FES system focused on the limit of passive stroke rehabilitation, combined with motor imagery (MI) and functional electrical stimulation (FES), through the pattern recognition of motor imagery mode of patients with EEG signal, generated FES signal. The BCI-FES system achieved the active rehabilitation of patients with mind-control, stimulated brain plasticity and improved rehabilitation efficacy. In this study, the BCI-FES system and clinical rehabilitation evaluation of post-stroke hemiplegia patients was investigated, and the rehabilitation efficacy showed, affected motor related cortex of patient subject was activated significantly, and motor function was further enhanced, by brain plasticity guidance of BCI-FES.
The results of a pilot study of neuroelectrostimulation impact using the original field of the current pulses on the attention parameters, which are some of the main characteristics of the learning process. Method of dynamic correction of the activity of the sympathetic nervous system implemented with the help of neuroelectrostimulation is proposed to improve cognitive characteristics. It is shown that the attention parameters such as speed and productivity can be improved by using neuroelectrostimulation. Also it was shown that some of the autonomic nervous system characteristics in particular LF and VLF spectral components of heart rate variability can be chosen as indicators of human efficiency changes.
Dr. Merzenich's research interests have included the functional organization of the somatosensory and auditory nervous systems; the neurological bases of - and rules governing-learning-induced cortical plasticity; and the neurological origins of and remediation of developmental and acquired impairments in language, reading, memory, attention, cognitive control, and movement. His research teams have extensively modeled changes induced in the brain a) following brain injury and stroke; b) resulting from distorted experiential history leading to acquired impairments, psychotic illness and addiction; and c) contributing to pathological neurological regression in aging. All have been studied as platforms for developing brain plasticity-based medical therapeutics to treat those conditions in human populations. Dr. Merzenich led a research team that created a widely commercially applied cochlear implant (Advanced Bionics' Symbion). In 1996, he co-founded Scientific Learning, a company dedicated to delivering remedial therapies to address language, reading, attention, and cognitive impairments in school age children. Its programs have been applied to help more than 5 million children. In 2002, he co-founded Posit Science, which produces and delivers computer-delivered therapies applied to help aging, psychiatrically-impaired, and brain-injured populations. In 2009, he co-founded the Brain Plasticity Institute, a research company focused on developing new treatment strategies for children and adults with severe neurological impairments.
Electroencephalography (EEG) has become a popular tool in brain-computer interface (BCI) research. Some of the drawbacks pertain to the offline analyses of the neural signal that prevent the subjects from engaging in real- time error correction during learning. Other limitations include the complex nature of the visual stimuli, often inducing fatigue and introducing considerable delays, possibly interfering with spontaneous performance. By replacing the complex external visual input with internally driven motor imagery we can overcome some delay problems, at the expense of losing the ability to precisely parameterize features of the input stimulus. To address these issues we here introduce a direction-imagery task to BCI. We observed that all participants showed almost perfect performance in the fourth session. Participants reported that as they mastered the mental control with direct thinking of direction. These observations provide corroborative evidence for practicability of prefrontal signals to be used as promising cognitive BCI commands.
The nine papers in this special section are devoted to research into the development of somatosensory afferent interfaces for conveying tactile and proprioceptive feedback to users and the role of afferent feedback in facilitating "motor learning" in the BMI framework.
The paper deals with a specific kind of BCI application implemented with the aim of recovering the reaching ability of mild impaired stroke survivors. The overall idea is to take advantage of the plasticity of the brain to make the subject artificially learn alternative neural paths to control the arm movement again, by-passing the injured area thanks to a BCI system with an EEG-related force provided as a real-time feedback during the training period. Preliminary results have shown improvements in the kinematics of the upper limb motion of a first patient that performed this experimental rehabilitative program. Then, this BCI application is expected to enter soon the daily clinical practise as a useful tool besides the standard rehabilitation therapy.
Virtual Reality (VR) provides useful rehabilitation applications, motivation, and feedback, for chronic stroke patients who might benefit from intensive massed therapies. Extensive therapy is required to take advantage of brain plasticity to modify neural organization and improve motor skills during the chronic phase after a stroke. Existing measurements used in a clinical setting are expensive, offer gross scales, and are subjective making it difficult to measure improvement or to detect refractory symptoms. Robotics applications are constrained to specific movements. New methods and tools are needed that use an inexpensive architecture, objective analysis techniques, and that offer hope for assessing motor skills more frequently or in a telerehabilitation environment. Management of motor disorders would benefit from practical automated objective techniques to monitor activities, measure and track kinetics and kinematics of complex motor skills associated with activities of daily living (ADL's) during exercise sessions and throughout the course of a patient's treatment process. We developed and tested a VR system using an unconstrained low-cost data glove and motivational games; patients can partake in intensive therapies while a data gathering application tracks hand and finger movements including x, y, z, yaw, pitch, and roll, finger flexion, speed, and session duration. These monitoring capabilities facilitate innovative telerehabilitation, compliance, and disease management models for people who have hand dysfunction as a result of neurological impairment. Specific movement routines may also be used for periodic objective assessment of the patient's performance.
It is known that cortical plasticity is a promising candidate in the construction of a model for associative memory and self-organisation of neural networks. The formation of a conditioned reflex (CR) is accompanied by a considerable increase in the interrelationship between the impulse activity of the neurons of the local, cortico-cortical and subcortico-cortical circuits. To elucidate the problem of the correspondence of phenomena proceeding in interneuron relationships to processes appearing at behavioral level at different forms of integral adaptive activity, it is important to investigate the spatial and temporal organisation of memory trace processes at cellular level. This report summarizes two groups of experimental data aimed at elucidating the changes that occur in waves amplitudes of pyramidal tract (PT) response as a result of conditioning and tetanic stimulation. It is known that a change in first direct wave (D) of PT response reflects a change in excitability of pyramidal tract neurones and a change in successive indirect (I) monosynaptic wave reflects a change in efficacy of intracortical synaptic connections.
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