Network Approaches To Diseases Of The Brain
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Network Approaches To Diseases Of The Brain
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Author : Matt T. Bianchi
language : en
Publisher: Bentham Science Publishers
Release Date : 2012
Network Approaches To Diseases Of The Brain written by Matt T. Bianchi and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Medical categories.
This book covers novel approaches using networks and oscillations and it will serve as a catalyst for translating these exciting advancements into the clinical arena. This collection of articles aims to accelerate the widespread clinical translation of network approaches by providing practical information accessible to clinicians in neurology and psychiatry - fields that are uniquely poised to implement these developments in clinical treatment of brain diseases. It should be a useful resource for researchers and clinicians in neurology and psychiatry.
Brain Networks For Studying Healthy And Pathological Aging Mechanisms And Intervention Efficacy
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Author : Christos Frantzidis
language : en
Publisher: Frontiers Media SA
Release Date : 2020-11-18
Brain Networks For Studying Healthy And Pathological Aging Mechanisms And Intervention Efficacy written by Christos Frantzidis and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-18 with Science categories.
Previous studies showed that both healthy and pathological aging are associated with changes in brain structure and function of the mature human brain. The most prominent anatomical alteration are changes in prefrontal cortex morphology, volume loss and reduced white-matter integrity and hippocampal atrophy. Cognitive decline affects mainly the performance of episodic memory, speed of sensory information processing, working memory, inhibitory function and long-term memory. It has been also proposed that due to the aforementioned changes the aging brain engages in compensatory brain mechanism such as a broader activation of cortical regions (mainly frontal) rather than specialized activation. Evidence suggests that similar changes occur with pathological aging but to a greater extent. In this case information flow is disrupted due to neurodegeneration, functional activation of posterior (occipito-temporal) regions is decreased and as a consequence the brain fails to process sensorial input in the ventral pathway and cognitive deficits appear. In the last years, functional alterations associated with aging have been studied using the mathematical notion of graph theory that offers an integrative approach since it examines different properties of the brain network: 1) Organization level 2) amount of local information processing, 3) information flow 4) cortical community structure and 5) identification of functional / anatomical hubs. So, graph theory offers an attractive way to model brain networks organization and to quantify their pathological deviations. Previous studies have already employed this mathematical notion and demonstrated that age-related neurodegeneration is often accompanied by loss of optimal network organization either due to diminished local information processing or due to progressive isolation of distant brain regions. They have also found that changes in network properties may be present even in the preclinical phase, which could be taken as a biological marker of disease.
Epilepsy Surgery The Network Approach An Issue Of Neurosurgery Clinics Of North America E Book
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Author : Mark Richardson
language : en
Publisher: Elsevier Health Sciences
Release Date : 2020-07-28
Epilepsy Surgery The Network Approach An Issue Of Neurosurgery Clinics Of North America E Book written by Mark Richardson and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-28 with Medical categories.
This issue of Neurosurgery Clinics, guest edited by Dr. R. Mark Richardson and Dr. Vasileios Kokkinos, will focus on Epilepsy Surgery: The Network Approach. This issue is one of four selected each year by our series consulting editors, Dr. Russell R. Lonser and Dr. Daniel K. Resnick. Topics discussed in this issue will include: History of the network approach in epilepsy surgery, Networks in temporal lobe epilepsy, Networks in frontal lobe epilepsy, Networks in parietal and occipital lobe epilepsy, Structures facilitating epileptogenic network formation, Extracranial interictal and ictal EEG in sEEG planning, Ictal semiology as a tool for sEEG planning, The significance of MRI lesions in sEEG planning, Functional networks in epilepsy presurgical evaluation, Automation advances in sEEG planning, Interpretation of the intracranial sEEG signal, Electrical cortical stimulation, Epileptogenic index, Modeling the epileptogenic network, Machine learning in epilepsy surgery evaluations, Neuromodulation of epilepsy networks, and Decision-making in epilepsy surgery.
Statistical And Machine Learning Approaches For Network Analysis
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Author : Matthias Dehmer
language : en
Publisher: John Wiley & Sons
Release Date : 2012-06-26
Statistical And Machine Learning Approaches For Network Analysis written by Matthias Dehmer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-26 with Mathematics categories.
Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks. Comprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout. Real data sets are used to showcase the discussed methods and topics, which include: A survey of computational approaches to reconstruct and partition biological networks An introduction to complex networks—measures, statistical properties, and models Modeling for evolving biological networks The structure of an evolving random bipartite graph Density-based enumeration in structured data Hyponym extraction employing a weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross-disciplinary courses in applied discrete mathematics, bioinformatics, pattern recognition, and computer science. The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.
Network Spread Models Of Neurodegenerative Diseases
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Author : Ashish Raj
language : en
Publisher: Frontiers Media SA
Release Date : 2019-04-18
Network Spread Models Of Neurodegenerative Diseases written by Ashish Raj and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-18 with categories.
It is a real pleasure to introduce the excellent papers contributed by leading experts to our Research Topic proposing various network models of dementia spread. The focus is strongly on disease-specific mathematical modeling rather than general graph theory. The emerging field of network neuroscience visualizes the brain as a graph consisting of nodes representing regions and edges as connections between them. This complex network supports efficient communication along neural projections, but also, unfortunately, the transmission and progression of Alzheimer’s and other neurodegenerative disorders. If we could know the brain’s network organization, could we then predict how degenerative processes might develop on this network? As these papers demonstrate, the answer is, increasingly, yes.
Intelligent Technologies Concepts Applications And Future Directions Volume 2
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Author : Satya Ranjan Dash
language : en
Publisher: Springer Nature
Release Date : 2023-06-01
Intelligent Technologies Concepts Applications And Future Directions Volume 2 written by Satya Ranjan Dash and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-01 with Technology & Engineering categories.
This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at second PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.
A New Approach To Addiction And Choice
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Author : Reinout W. Wiers
language : en
Publisher: Taylor & Francis
Release Date : 2024-08-08
A New Approach To Addiction And Choice written by Reinout W. Wiers and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-08 with Health & Fitness categories.
This engaging book provides a novel examination of the nature of addiction, suggesting that by exploring akrasia—the tendency to act against one’s better judgement—we can better understand our addictive behaviors. It offers an alternative to the dominant biomedical model of addiction as a chronic brain disease by looking at the nature of how we make decisions and proposing the idea that biased choice is central to addiction. The book looks at both classic substance use disorders and newer “addictions” to smartphones, meat and fossil fuels. It discusses current perspectives on free will in philosophy, psychology and neuroscience, and the questions surrounding free will versus determinism, including our ability to steer our behaviors guided by the promise of future outcomes. Different perspectives on addiction and choice are presented in an eloquent style, and illustrated by personal stories. Through a lively discussion of the key scientific and philosophical issues surrounding addiction, this book is valuable for students in psychology, criminology, sociology and social work, as well as health care professionals and general readers interested in the nature of our free will.
Mechanisms And Emerging Therapies In Tremor Disorders
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Author : Giuliana Grimaldi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-21
Mechanisms And Emerging Therapies In Tremor Disorders written by Giuliana Grimaldi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-21 with Medical categories.
Tremor is intimately linked to the numerous interactions of the central and peripheral nervous system components tuning motor control, from the cerebral cortex up to the peripheral effectors. Activities of central generators, reflex loop delays, inertia, stiffness and damping are all factors influencing features of tremor. This book discusses the pathophysiology of tremor including membrane mechanisms and rodent models, the advances in genetics and the musculoskeletal models pertinent to body oscillations. The main forms of tremor encountered during clinical practice are considered, taking into account neuroimaging aspects. The book covers recent advances in methodologies and techniques of assessment, and provides practical informations for the daily management. In addition to pharmacological treatments, neurosurgical approaches such as deep brain stimulation (DBS) and thalamotomy are discussed. Emerging techniques under development are also introduced. Future challenges are also presented.
Between Theory And Clinic The Contribution Of Neuroimaging In The Field Of Consciousness Disorders
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Author : Olivia Gosseries
language : en
Publisher: Frontiers Media SA
Release Date : 2019-05-16
Between Theory And Clinic The Contribution Of Neuroimaging In The Field Of Consciousness Disorders written by Olivia Gosseries and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-16 with categories.
The amount of patients surviving severe brain injury has gradually increased over these last decades thanks to the development of intensive care. These patients either recover quickly from coma or go through prolonged disorders of consciousness such as vegetative state/unresponsive wakefulness syndrome (VS/UWS) or minimally conscious state (MCS). While patients in a minimally conscious state are to some extent aware of themselves and the environment, and show fluctuating but reproducible signs of consciousness, patients in a vegetative state/unresponsive wakefulness syndrome are awake but only show reflexive behaviors. These patients are unable to communicate and present vigilance fluctuation, sensory deficits as well as severe motor and language impairments. Even though behavioral assessment currently remains the gold standard for diagnosis, a number of studies highlights the difficulty in making the distinction between conscious and unconscious patients based on clinical examinations and show a misdiagnosis rate as high as 40%. Misdiagnosis can nevertheless have serious consequences on patient’s management, medically but also ethically (i.e., regarding end-of-life decision). The emergence of functional neuroimaging techniques (such as positron emission tomography – PET and functional magnetic resonance imaging – fMRI) opened new opportunities to study brain activity in patients with disorders of consciousness (DOC). Recent neuroimaging tools have brought new understandings on how the brain functions after coma, and how these tools can complement bedside assessment by improving diagnosis and prognosis of DOC patients. Indeed, we know now that most patients in VS/UWS present partial activation of sensory networks and impaired functional connectivity contrary to patients in MCS. The reemergence of thalamo-cortical connections has also been associated with recovery of consciousness; whereas, thalamic atrophy has been associated to chronic DOC. Recent findings have also stressed the interest of neuroimaging in the management and the treatment of these patients. fMRI has been used as brain computer interfaces to detect consciousness in unresponsive patients and to allow basic communication in minimally conscious patients. Neuroimaging techniques are also currently being used to examine the effects of potential therapy such as pharmacological medications (e.g., Amantadine or Zolpidem) and brain stimulations (e.g., transcranial direct current stimulation or repetitive transcranial magnetic stimulation).
Handbook On Biological Networks
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Author : Stefano Boccaletti
language : en
Publisher: World Scientific
Release Date : 2010
Handbook On Biological Networks written by Stefano Boccaletti and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
Networked systems are all around us. The accumulated evidence of systems as complex as a cell cannot be fully understood by studying only their isolated constituents, giving rise to a new area of interest in research OCo the study of complex networks . In a broad sense, biological networks have been one of the most studied networks, and the field has benefited from many important contributions. By understanding and modeling the structure of a biological network, a better perception of its dynamical and functional behavior is to be expected. This unique book compiles the most relevant results and novel insights provided by network theory in the biological sciences, ranging from the structure and dynamics of the brain to cellular and protein networks and to population-level biology. Sample Chapter(s). Chapter 1: Introduction (61 KB). Contents: Networks at the Cellular Level: The Structural Network Properties of Biological Systems (M Brilli & P Li); Dynamics of Multicellular Synthetic Gene Networks (E Ullner et al.); Boolean Networks in Inference and Dynamic Modeling of Biological Systems at the Molecular and Physiological Level (J Thakar & R Albert); Complexity of Boolean Dynamics in Simple Models of Signaling Networks and in Real Genetic Networks (A D az-Guilera & R ulvarez-Buylla); Geometry and Topology of Folding Landscapes (L Bongini & L Casetti); Elastic Network Models for Biomolecular Dynamics: Theory and Application to Membrane Proteins and Viruses (T R Lezon et al.); Metabolic Networks (M C Palumbo et al.); Brain Networks: The Human Brain Network (O Sporns); Brain Network Analysis from High-Resolution EEG Signals (F De Vico Fallani & F Babiloni); An Optimization Approach to the Structure of the Neuronal layout of C elegans (A Arenas et al.); Cultured Neuronal Networks Express Complex Patterns of Activity and Morphological Memory (N Raichman et al.); Synchrony and Precise Timing in Complex Neural Networks (R-M Memmesheimer & M Timme); Networks at the Individual and Population Levels: Ideas for Moving Beyond Structure to Dynamics of Ecological Networks (D B Stouffer et al.); Evolutionary Models for Simple Biosystems (F Bagnoli); Evolution of Cooperation in Adaptive Social Networks (S Van Segbroeck et al.); From Animal Collectives and Complex Networks to Decentralized Motion Control Strategies (A Buscarino et al.); Interplay of Network State and Topology in Epidemic Dynamics (T Gross). Readership: Advanced undergraduates, graduate students and researchers interested in the study of complex networks in a wide range of biological processes and systems."