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| Author | : Doris D. Wang |
| Publisher | : Frontiers Media SA |
| Total Pages | : 165 |
| Release | : 2022-05-27 |
| Genre | : Science |
| ISBN | : 2889762459 |
| Author | : Timothée Levi |
| Publisher | : Frontiers Media SA |
| Total Pages | : 326 |
| Release | : 2018-04-26 |
| Genre | : |
| ISBN | : 2889454665 |
Millions of people worldwide are affected by neurological disorders which disrupt the connections within the brain and between brain and body causing impairments of primary functions and paralysis. Such a number is likely to increase in the next years and current assistive technology is yet limited. A possible response to such disabilities, offered by the neuroscience community, is given by Brain-Machine Interfaces (BMIs) and neuroprostheses. The latter field of research is highly multidisciplinary, since it involves very different and disperse scientific communities, making it fundamental to create connections and to join research efforts. Indeed, the design and development of neuroprosthetic devices span/involve different research topics such as: interfacing of neural systems at different levels of architectural complexity (from in vitro neuronal ensembles to human brain), bio-artificial interfaces for stimulation (e.g. micro-stimulation, DBS: Deep Brain Stimulation) and recording (e.g. EMG: Electromyography, EEG: Electroencephalography, LFP: Local Field Potential), innovative signal processing tools for coding and decoding of neural activity, biomimetic artificial Spiking Neural Networks (SNN) and neural network modeling. In order to develop functional communication with the nervous system and to create a new generation of neuroprostheses, the study of closed-loop systems is mandatory. It has been widely recognized that closed-loop neuroprosthetic systems achieve more favorable outcomes for users then equivalent open-loop devices. Improvements in task performance, usability, and embodiment have all been reported in systems utilizing some form of feedback. The bi-directional communication between living neurons and artificial devices is the main final goal of those studies. However, closed-loop systems are still uncommon in the literature, mostly due to requirement of multidisciplinary effort. Therefore, through eBook on closed-loop systems for next-generation neuroprostheses, we encourage an active discussion among neurobiologists, electrophysiologists, bioengineers, computational neuroscientists and neuromorphic engineers. This eBook aims to facilitate this process by ordering the 25 contributions of this research in which we highlighted in three different parts: (A) Optimization of different blocks composing the closed-loop system, (B) Systems for neuromodulation based on DBS, EMG and SNN and (C) Closed-loop BMIs for rehabilitation.
| Author | : Won Kim |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 233 |
| Release | : 2014-01-28 |
| Genre | : Medical |
| ISBN | : 0323264018 |
This issue of Neurosurgery Clinics of North America is devoted to "Advances in Neuromodulation." Editors Won Kim, MD, Antonio De Salles, MD, and Nader Pouratian, MD have assembled the top experts to review topics such as: peripheral nerve stimulation; spinal cord stimulation for gait reanimation and vascular pathology; deep brain stimulation for Tourettes, OCD, depression, Parkinson’s disease, eating disorders, dystonia, and headache; and techniques for image-guided deep brain stimulation, advanced imaging for targeting, and closed loop neuromodulation.
| Author | : Markus Christen |
| Publisher | : Frontiers Media SA |
| Total Pages | : 84 |
| Release | : 2018-01-15 |
| Genre | : |
| ISBN | : 2889453731 |
Neuromodulation is among the fastest-growing areas of medicine, involving many diverse specialties and affecting hundreds of thousands of patients with numerous disorders worldwide. It can briefly be described as the science of how electrical, chemical, and mechanical interventions can modulate the nervous system function. A prominent example of neuromodulation is deep brain stimulation (DBS), an intervention that reflects a fundamental shift in the understanding of neurological and psychiatric diseases: namely as resulting from a dysfunctional activity pattern in a defined neuronal network that can be normalized by targeted stimulation. The application of DBS has grown remarkably and more than 130,000 patients worldwide have obtained a DBS intervention in the past 30 years—most of them for treating movement disorders. This Frontiers Research Topics provides an overview on the current discussion beyond basic research in DBS and other brain stimulation technologies. Researchers from various disciplines, who are working on broader clinical, ethical and social issues related to DBS and related neuromodulation technologies, have contributed to this research topic.
| Author | : Hariprasad Chandrakumar |
| Publisher | : |
| Total Pages | : 182 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
The goal of neuromodulation is to alter neural activity through targeted delivery of a stimulus to specific sites in the body. A prominent example of neuromodulation is deep brain stimulation (DBS), which has proved effective in mitigating the effects of certain neurological conditions. However, existing neuromodulation treatments lack real-time feedback (simultaneous sensing) to adapt stimulation parameters in response to brain dynamics. Hence, neuroscientists and clinicians aim to perform closed-loop neuromodulation, where stimulation can be optimally controlled in real time for better treatment outcomes. In recent years, the community has emphasized closed-loop neuromodulation as a highly desirable tool for administering therapy in patients suffering from drug-resistant neurological ailments. A miniaturized autonomous implant would be instrumental in ensuring that neuromodulation achieves its full potential. A key requirement for any closed-loop neuromodulation system is the ability to record neural signals while concurrently performing stimulation. However, neural stimulation generates large differential and common-mode artifacts at the recording sites, which easily saturate existing implantable recording front-ends due to their limited linear input range. To observe the neural response during stimulation, the front-end must faithfully digitize neural signals in the presence of large stimulation artifacts. The front-end must also satisfy strict constraints on power consumption, noise and input impedance, while achieving a small form-factor. State-of-the-art neural recording front-ends do not meet these requirements. This work presents a recording front-end that can digitize neural signals in the presence of 200mVpp differential artifacts and 700mVpp common-mode artifacts. The front-end consists of a chopper amplifier and a 15.2b-ENOB continuous-time delta-sigma ADC. In the design of the chopper amplifier, new techniques have been proposed that introduce immunity to common-mode interference, increase the DC input impedance (Zin) of the chopper amplifier to 1.5G , and enable the realization of large resistances (90G ) on-chip in a small area for filtering electrode offsets. In the design of the delta-sigma ADC, a modified loop-filter is used along with new linearization techniques to significantly reduce power consumption in the ADC. These techniques enable our recording front-end to achieve a dynamic range of 90dB (14b ENOB) in 1Hz - 200Hz, and 81dB (12.7b ENOB) in 1Hz - 5kHz. Implemented in a 40nm CMOS process, the prototype occupies an area of 0.113mm2/channel, consumes 7.3i W from a 1.2V supply, and can digitize neural signals from 1Hz to 5kHz. The input-referred noise is 1.8i Vrms (1Hz - 200Hz) and 6.35i Vrms (1Hz - 5kHz). The total harmonic distortion for a 200mVpp input at 1kHz is 81dB. Compared to state-of-the-art neural recording front-ends, this work improves Zin by 24.2x (for chopped front-ends), the linear-input range by 2x, the signal bandwidth (BW) by 10x, the dynamic range by 12.6dB, and tolerance to common-mode interferers by 6.5x, while maintaining comparable power and noise performance. The ADC alone consumes 4.5i W, has Zin of 20M , BW of 5kHz, and achieves a peak SNDR of 93.5dB for a 1.77Vpp differential input at 1kHz. The ADC's Schreier FOM (using SNDR) is 184dB, which is 6dB higher than the state-of-the-art in high-resolution ADCs.
| Author | : Valentin A. Pavlov |
| Publisher | : Perspectives Cshl |
| Total Pages | : 350 |
| Release | : 2019 |
| Genre | : Medical |
| ISBN | : 9781621823025 |
"Cold Spring Harbor perspectives in medicine."
| Author | : Nitish V. Thakor |
| Publisher | : Springer Nature |
| Total Pages | : 3686 |
| Release | : 2023-02-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9811655405 |
This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.
| Author | : Clement Hamani |
| Publisher | : John Wiley & Sons |
| Total Pages | : 518 |
| Release | : 2016-01-26 |
| Genre | : Medical |
| ISBN | : 1118801040 |
Edited by an expert multidisciplinary team, Neuromodulation in Psychiatry is the first reference guide to address both invasive and non-invasive neuromodulation strategies used in psychiatry. Covers basic principles, technical aspects, clinical applications and ethical considerations Presents up-to-date evidence in comprehensive summaries suitable for all levels of experience Each technique is clearly explained along with its implications for real-world clinical practice Allows psychiatrists to make informed decisions regarding neuromodulation for their patients
| Author | : Vahagn Hokhikyan |
| Publisher | : |
| Total Pages | : 119 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
According to a report by the World Health Organization (WHO), neuropsychiatric disorders affect about one billion people worldwide and are the leading cause of disability in the U.S.. To address this global epidemic, neuroscientific initiatives are being developed globally. Deep brain stimulation (DBS) has been successful alternate treatment modality for some neuropsychiatric disorders (Parkinson's disease, essential tremor, dystonia, and obsessive-compulsive disorder) when traditional treatment options failed (resection, medication, and psychotherapy). According to one long term study targeting Parkinson's disease, patients' motor function and daily activity-scores improve about 50% while off medication and receiving only DBS therapy. This therapy is delivered through large electrodes in the form of fixed-frequency rectangular stimulation pulses in an always-on, open-loop fashion - ignoring the disease state, medication status, or side effects. In this work, we present a more advanced neural implant which, while being backward compatible with traditional DBS therapy, 1) is capable of sensing neural signals while delivering stimulation, 2) has high-channel-count, and 3) can generate non-rectangular stimulation waveforms. These key features are enabled by our custom-designed neural sensing and stimulation integrated circuits (ICs), which along with a few passive components, a miniature printed circuit board, and our user-friendly graphical interface comprise a capable neuromodulation system. Our sensing IC's ability to capture neural signals and stimulation artifacts without saturation at implant-level power is unique. Sampled local field potential (LFP) signals can be used to close the knowledge gap about the disease biomarkers and be fed into closed-loop algorithms for automatic tuning of stimulation parameters based on the disease state. The resulting autonomy will reduce or eliminate the need for periodic clinical visits for re-adjusting stimulation parameters to ameliorate neural network's habituation effects. Our high-channel-count stimulation IC, when paired with high-density probes, will substantially increase the spatial resolution of DBS, which can improve the therapeutic index and potentially result in lower power consumption for achieving the same therapeutic benefits. Also, the ability of our stimulation IC to generate custom, non-rectangular waveforms can lead to increased implant battery life, as some non-rectangular waveforms seem to be more energy efficient. We believe that the proposed system has the potential to improve the quality of patient care and to further our understanding of neuropsychiatric disorders, and we hope that it will soon find an increased use in various clinical and research environments.
| Author | : Daniel Laskowitz |
| Publisher | : CRC Press |
| Total Pages | : 412 |
| Release | : 2015-12-01 |
| Genre | : Medical |
| ISBN | : 1498766579 |
Traumatic brain injury (TBI) remains a significant source of death and permanent disability, contributing to nearly one-third of all injury related deaths in the United States and exacting a profound personal and economic toll. Despite the increased resources that have recently been brought to bear to improve our understanding of TBI, the development of new diagnostic and therapeutic approaches has been disappointingly slow. Translational Research in Traumatic Brain Injury attempts to integrate expertise from across specialties to address knowledge gaps in the field of TBI. Its chapters cover a wide scope of TBI research in five broad areas: Epidemiology Pathophysiology Diagnosis Current treatment strategies and sequelae Future therapies Specific topics discussed include the societal impact of TBI in both the civilian and military populations, neurobiology and molecular mechanisms of axonal and neuronal injury, biomarkers of traumatic brain injury and their relationship to pathology, neuroplasticity after TBI, neuroprotective and neurorestorative therapy, advanced neuroimaging of mild TBI, neurocognitive and psychiatric symptoms following mild TBI, sports-related TBI, epilepsy and PTSD following TBI, and more. The book integrates the perspectives of experts across disciplines to assist in the translation of new ideas to clinical practice and ultimately to improve the care of the brain injured patient.
