Download or read book Closed loop Deep Brain Stimulation Algorithm for Parkinson s Disease Based on Reinforcement Learning and Basal Ganglia thalamus Network Dynamics written by 卓嘉虹 and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Deep Brain Stimulation for Parkinson s Disease written by Gordon H. Baltuch and published by CRC Press. This book was released on 2007-03-19 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considered the largest breakthrough in the treatment of Parkinson's disease in the past 40 years, Deep Brain Stimulation (DBS) is a pioneering procedure of neurology and functional neurosurgery, forging enormous change and growth within the field. The first comprehensive text devoted to this surgical therapy, Deep Brain Stimulation for Parkinson's
Download or read book Computationally efficient Algorithms and Hardware Implementation for Treating the Parkinson s Disease by Closed loop Deep Brain Stimulation written by 藍米斯 and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stereotactic and Functional Neurosurgery written by Nader Pouratian and published by Springer Nature. This book was released on 2020-02-28 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents a comprehensive and state-of the-art approach to stereotactic and functional neurosurgery. Overarching sections include achieving stereotactic precision, defining trajectories and targets, the biophysics of stereotactic therapies, diseases and targets, and the future of functional neurosurgery. Each section is designed to be inclusive of all relevant topics, serving as an unbiased resource to new clinicians in this field or established clinicians that are aiming to better understand complementary methods. Importantly, each section and the associated chapters can be used by basic and translational scientists as well as engineers and industry to better understand and deliver innovation to the field. Chapters within each section methodically analyze traditional and recently emerging concepts and techniques; address underlying principles with examples drawn from specific diseases and applications; and cover patient selection, target selection, available stereotactic methods, nuanced surgical methods, and clinical evidence across treatment options. Written by experts in each area, Stereotactic and Functional Neurosurgery is a definitive guide to the latest developments in stereotactic targeting, electrode implantation, surgical treatment of neurological and psychiatric disorders, the renaissance of stereotactic lesions, and the frontier of restorative neurosurgery for a variety of disorders that have no other therapeutic options.
Download or read book The Hidden Life of the Basal Ganglia written by Hagai Bergman and published by MIT Press. This book was released on 2021-10-12 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The anatomy and physiology of the basal ganglia and their relation to brain and behavior, disorders and therapies, and philosophy of mind and moral values. The main task of the basal ganglia—a group of subcortical nuclei, located at the base of the brain—is to optimize and execute our automatic behavior. In this book, Hagai Bergman analyzes the anatomy and physiology of the basal ganglia, discussing their relation to brain and behavior, to disorders and therapies, and even to moral values. Drawing on his forty years of studying the basal ganglia, Bergman presents new information on physiology and computational models, Parkinson’s disease and other ganglia-related disorders, and such therapies as deep brain stimulation. Focusing on studies of nonhuman primates and human basal ganglia and relying on system physiology and in vivo extra-cellular recording techniques, Bergman first describes the major brain structures that constitute the basal ganglia, the morphology of their cellular elements, their synaptic connectivity and their physiological function in health and disease. He discusses the computational physiology of the healthy basal ganglia, describing four generations of computational models, and then traces the computational physiology of basal ganglia–related disorders and their treatments, including Parkinson’s disease and its pharmacological and surgical therapies. Finally, Bergman considers the implications of these findings for such moral concerns as free will. Explaining this leap into domains rarely explored in neuroscientific accounts, Bergman writes that the longer he studies the basal ganglia, the more he is convinced that they are truly the base of both brain and mind.
Download or read book Closed Loop Neuroscience written by Ahmed El Hady and published by Academic Press. This book was released on 2016-09-08 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Closed Loop Neuroscience addresses the technical aspects of closed loop neurophysiology, presenting the implementation of these approaches spanning several domains of neuroscience, from cellular and network neurophysiology, through sensory and motor systems, and then clinical therapeutic devices. Although closed-loop approaches have long been a part of the neuroscientific toolbox, these techniques are only now gaining popularity in research and clinical applications. As there is not yet a comprehensive methods book addressing the topic as a whole, this volume fills that gap, presenting state-of-the-art approaches and the technical advancements that enable their application to different scientific problems in neuroscience. - Presents the first volume to offer researchers a comprehensive overview of the technical realities of employing closed loop techniques in their work - Offers application to in-vitro, in-vivo, and hybrid systems - Contains an emphasis on the actual techniques used rather than on specific results obtained - Includes exhaustive protocols and descriptions of software and hardware, making it easy for readers to implement the proposed methodologies - Encompasses the clinical/neuroprosthetic aspect and how these systems can also be used to contribute to our understanding of basic neurophysiology - Edited work with chapters authored by leaders in the field from around the globe – the broadest, most expert coverage available
Download or read book Connectomic Deep Brain Stimulation written by Andreas Horn and published by Academic Press. This book was released on 2021-09-10 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectomic Deep Brain Stimulation (DBS) covers this highly efficacious treatment option for movement disorders such as Parkinson's Disease, Essential Tremor and Dystonia. The book examines its impact on distributed brain networks that span across the human brain in parallel with modern-day neuroimaging concepts and the connectomics of the brain. It asks several questions, including which cortical areas should DBS electrodes be connected in order to generate the highest possible clinical improvement? Which connections should be avoided? Could these connectomic insights be used to better understand the mechanism of action of DBS? How can they be transferred to individual patients, and more. This book is suitable for neuroscientists, neurologists and functional surgeons studying DBS. It provides practical advice on processing strategies and theoretical background, highlighting and reviewing the current state-of-the-art in connectomic surgery. - Written to provide a "hands-on" approach for neuroscience graduate students, as well as medical personnel from the fields of neurology and neurosurgery - Includes preprocessing strategies (such as co-registration, normalization, lead localization, VTA estimation and fiber-tracking approaches) - Presents references (key articles, books and protocols) for additional detailed study - Provides data analysis boxes in each chapter to help with data interpretation
Download or read book Control Strategies for Closed loop Deep Brain Stimulation in Network Models of Parkinson s Disease written by John Fleming and published by . This book was released on 2021 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Dynamic Brain written by Mingzhou Ding and published by . This book was released on 2011 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theoretical, experimental and clinical perspectives. Readership: Graduate students, postdocs and research scientists in Neuroscience.
Download or read book Basal Ganglia and Thalamus in Health and Movement Disorders written by Kristy Kultas-Ilinsky and published by Springer Science & Business Media. This book was released on 2001-03-31 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research by leading researchers on different aspects of the organization and function of the basal ganglia and its output nuclei projections to the thalamus. The major diseases associated with dysfunction of the basal ganglia are Parkinson's, Huntington's, dystonia (abnormal fixed posture with spasms), tremor, and drug-induced dyskinesias. Chapters address both basic sciences, such as the physiology and molecular signaling aspects, and clinical applications, such as lesions and stimulation of the thalamic area of the brain.
Download or read book Deep Brain Stimulation written by Kelvin L. Chou, MD and published by Demos Medical Publishing. This book was released on 2011-12-21 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the United States, an estimated 42 million people suffer from some form of movement disorder. Common movement disorders include Parkinson's disease (PD), essential tremor (ET), and dystonia. Although medications may be helpful for these conditions, in many patients, symptoms cannot be controlled with medications alone. In such situations, their physicians may recommend a surgical procedure known as Deep Brain Stimulation (DBS). DBS is a revolutionary technology using an implanted device to deliver electrical stimulation to the brain to help symptoms, alleviate suffering, and improve quality of life. The Food and Drug Administration (FDA) approved DBS as a treatment for essential tremor in 1997, for Parkinson's disease in 2002, and dystonia in 2003. Deep brain stimulation has dramatically changed the lives of many patients with uncontrollable tremors. Patients often can resume normal activities, such as feeding and dressing themselves, and can have active and fulfilling lives. The need for anti-tremor medications is often reduced or eliminated. Though it's no longer considered experimental, DBS is, for now, still used as a second- or third-line treatment, reserved for patients with more advanced cases of the disease and those for whom medication alone is inadequate or can't be adjusted precisely enough to keep their tremors and writhing under control. However the idea of this surgery being a "last resort" is an evolving concept. Ten years ago doctors were operating on only the most severe, disabled, wheelchair-dependent patients, now they are operating on patients with moderate-to-severe cases of PD, ET and Dystonia. The thought is that this trend will continue. Instead of saying "wait another five to ten years until you become more disabled" doctors are realizing that the earlier they use DBS, the more they can improve the quality of life of their patients.
Download or read book Data driven Optimization of Deep Brain Stimulation for Movement Disorders written by Andrew J. Haddock and published by . This book was released on 2017 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep brain stimulation (DBS) is an effective therapy for ameliorating motor symptoms associated with Parkinson's disease (PD) and essential tremor (ET). DBS is a surgical procedure in which implanted electrodes are placed near brain structures believed to cause pathological motor disorder behaviors. Subcortical brain structures in thalamus and basal ganglia are typical DBS targets for PD and ET therapy, and modern DBS systems allow customization of therapeutic stimulation patterns through control of stimulation location, amplitude, pulsewidth, and frequency in order to optimize therapy on a patient-specific basis. Despite the technological capabilities of implanted DBS systems, current clinical implementation is limited by a scarcity of DBS specialty clinics and variable, subjective clinician performance in assessing patient symptoms and systematically selecting optimal DBS settings for therapy, a process known as programming. Compounding this problem is a dated and inefficient healthcare system that requires patients to travel to clinic to receive DBS programming updates, oftentimes at great expense both to patients and healthcare providers. In this dissertation, we investigate and demonstrate experimental data-driven methodologies and algorithms aimed at improving DBS therapy for PD and ET patients. Particularly, we develop adaptive DBS systems by coupling low-cost commercial sensors with stimulation control and demonstrate the therapy potential through clinical experiments with human subjects diagnosed with PD and ET. We make use of a commercially available wearable smartwatch and show that clinical ratings for tremor and bradykinesia can accurately be classified on the basis of inertial measurement unit (IMU) data. We embed this feature in a software algorithm for automated DBS programming that is demonstrated to perform at the level of expert clinicians in selecting optimal DBS settings for therapy in PD and ET patients. We further use this platform to investigate neural correlates and biomarkers of effective DBS in ET patients using recorded local field potentials (LFPs) from an electrocorticographic (ECoG) strip placed over motor cortex. Scalable methods and algorithms for automatically programming DBS when considering a large number of candidate DBS settings are also developed in detail. Finally, we address the problem of closed-loop DBS, in which stimulation is delivered in a responsive manner to patient symptoms, by formulating a model-based approach using system identification experiments, hybrid systems modeling, and predictive control. The results presented in this dissertation may improve patient care, patient quality of life, and the cost-effectiveness of DBS therapy for PD and ET patients. Additionally, the novel results presented on neural stimulation optimization may be useful more broadly in the growing medical and research fields of neuromodulation and bioelectronic medicine. We conclude with a discussion concerning how to integrate this data-driven approach to DBS therapy in modern healthcare systems, and we discuss the relevance of these results in light of anticipated technological developments in DBS systems.
Download or read book Reprogramming the Brain written by Benjamin Stecher and published by Springer Nature. This book was released on with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Parkinson s Disease Classification Monitoring and Optimization of Deep Brain Stimulation written by Syed Aamir Ali Shah and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parkinson's disease (PD) alters the brain's anatomy when dopamine releasing neurons die in basal ganglia neural pathways. The resulting alterations force synchronized neuronal activity in beta frequency components in subthalamic nucleus (STN). This synchronization affects the chaotic behavior of the brain activities, which induce motor related impairments in patient's limbs. This can be seen in the electroencephalogram (EEG) signals of PD patients. Deep brain stimulation (DBS) is the therapy of choice in later stage of disease when the side-effects of medication supersede its benefits. In this research work, we utilize the relationship between chaotic systems and brain for the analysis of EEG signals of PD patients. The overall objective is to develop a framework that can monitor, analyze the chaotic behavior, and optimize the stimulation of various regions of the brain to restore normal state. The first component of the overall objective is to monitor the activities of brain regions. In this component, we use embedding reconstruction, a tool from chaos theory, to highlight PD-related alterations in dynamical properties of EEG and present it as a potentially reliable bio-marker for PD related classification. Additionally, there is a strong synchronization between amplitude of higher frequency components and phase of beta components for PD patients. This information is used to improve the performance of this classification. We apply embedding reconstruction to design a new architecture of a deep neural network called Dynamical system Generated Hybrid Network. We report that this network outperforms the state of the art in terms of classification accuracy of 99.2. (+0:52%) with approximately 24% of the computational resources. The second component is a step towards analysis of chaotic behavior of brain in which we investigate the use of recurrent neural networks to adapt the chaotic characteristics of chaotic time series. We define three unique topologies of long short-term memory (LSTM) network and analyze those for chaotic parameter estimation in seven different test cases. We show that the deep LSTM networks are capable of modeling the chaotic behavior of a wide range of parameters and that the network performs the best when the architecture is driven by chaotic attributes of the time series data. To mimic the behavior of brain regions, the third component of the overall objective, we utilize a neural reservoir of spatially distributed spiking neurons to our advantage. This reservoir is inspired by the anatomy and operations of biological brain. It provides a testing platform for final component of the overall objective. The final component is to restore the brain activities using DBS. In this component, we propose a simulation framework to define an optimized DBS stimulus using EEG signals. The objective of this framework is to provide simulation environment inspired by realistic brain. This framework utilizes spiking neurons, similar to realistic neurons, distributed in a reservoir which is inspired by real brain anatomy. This reservoir is trained via spike-time-dependent-plasticity algorithm which is inspired by biologically realistic neural learning process. This reservoir is initially set to OFF-medication state. Then, the synaptic changes are optimized in such a way that the reservoir is forced to drift from OFF-medication state to ON-medication state. The stimulus signal is generated by accumulating the variations in synaptic weights in neural reservoir in target brain region. For validation we analyze this signal and show that the application of this signal as stimulus results in local field potential (LFP) of STN region neurons with increased chaotic level compared to LFP without stimulation using SIM4LIFE simulation software. Individually, each objective is a complete research problem. Combined, they form a closed loop process for brain's monitoring and administration for PD patients.
Download or read book Brain Stimulation written by Günther Deuschl and published by Elsevier Inc. Chapters. This book was released on 2013-11-11 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep brain stimulation is one of the most effective treatments of Parkinson’s disease (PD). This report summarizes the state of the art as at January 2013. Stimulation of the subthalamic nucleus is the most commonly used approach. It improves the core motor symptoms better than medication in patients with advanced disease. It also improves the majority of nonmotor symptoms, such as mood, impulse control disorders, sleep, and some autonomic dysfunctions. Quality of life (QoL) is improved significantly more than with medication. Long-term data show that the treatment is effective for up to 10 years, but the late appearance of l-dopa-resistant symptoms is seemingly not influenced. Internal globus pallidus (GPi) stimulation is less well studied but seems to have similar short-term efficacy. Importantly l-dopa use cannot be reduced with GPi DBS, which is a major disadvantage for patients suffering from medication side-effects, although gait may be influenced more positively. Although short-term QoL improvement seems to be similar to that for subthalamic nucleus (STN) DBS – gait and speech may be better improved – long-term data are rare for GPi DBS. Thalamic stimulation in the ventral intermediate nucleus (VIM) is applied only in tremor-dominant elderly patients. The treatment improves the dopa-sensitive symptoms and effectively reduces fluctuations leading to an overall QoL improvement. Although most of the controlled studies have been on advanced PD, the recently published EARLYSTIM study suggests that even patients with a very short duration of their fluctuations and dyskinesia are doing significantly better with neurostimulation in terms of QoL and all major motor outcome parameters.
Download or read book Computational Neuroscience Models of the Basal Ganglia written by V. Srinivasa Chakravarthy and published by Springer. This book was released on 2018-03-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a compendium of the aforementioned subclass of models of Basal Ganglia, which presents some the key existent theories of Basal Ganglia function. The book presents computational models of basal ganglia-related disorders, including Parkinson’s disease, schizophrenia, and addiction. Importantly, it highlights the applications of understanding the role of the basal ganglia to treat neurological and psychiatric disorders. The purpose of the present book is to amend and expand on James Houk’s book (MIT press; ASIN: B010BF4U9K) by providing a comprehensive overview on computational models of the basal ganglia. This book caters to researchers and academics from the area of computational cognitive neuroscience.
Download or read book Neural Engineering written by Bin He and published by Springer Science & Business Media. This book was released on 2013-01-09 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Engineering, 2nd Edition, contains reviews and discussions of contemporary and relevant topics by leading investigators in the field. It is intended to serve as a textbook at the graduate and advanced undergraduate level in a bioengineering curriculum. This principles and applications approach to neural engineering is essential reading for all academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals wishing to take advantage of the latest and greatest in this emerging field.
