Brain Connectivity Analysis Investigating Brain Disorders
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Brain Connectivity Analysis Investigating Brain Disorders
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Author : Barry Horwitz
language : en
Publisher: Frontiers E-books
Release Date :
Brain Connectivity Analysis Investigating Brain Disorders written by Barry Horwitz and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
In the last few years, advances in human structural and functional neuroimaging (fMRI, PET, EEG/MEG) have resulted in an explosion of studies investigating the anatomical and functional connectivity between different regions of the brain. More and more studies have employed resting and task-related connectivity analyses to assess functional interactions, and diffusion-weighted tractography to study white matter organization. Many of these studies have addressed normal human function, but recently, a number of investigators have turned their attention to examining brain disorders. The study of brain disorders is a complex endeavor; not only does it require understanding the normal brain, and the regions involved in a particular function, but also it needs a deeper understanding of brain networks and their dynamics. This Research Topic will provide the scientific community with an overview of how to apply connectivity methods to study brain disease, and with perspectives on what are the strength and limitations of each modality. For this Research Topic, we solicit both reviews and original research articles on the use of brain connectivity analysis, with non-human or human models, to explore neurological, psychiatric, developmental and neurodegenerative disorders from a system perspective. Connectivity studies that have focused on one or more of the following will be of particular interest: (1) detection of abnormal functional/structural connectivity; (2) neural plasticity, assessed by changes in connectivity, in patients with brain disorders; (3) assessment of therapy using connectivity measures; (4) relation of connectivity changes to behavioral changes.
Magnetic Resonance Imaging Of Healthy And Diseased Brain Networks
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Author : Yong He
language : en
Publisher: Frontiers Media SA
Release Date : 2015-03-05
Magnetic Resonance Imaging Of Healthy And Diseased Brain Networks written by Yong He 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 2015-03-05 with Brain categories.
An important aspect of neuroscience is to characterize the underlying connectivity patterns of the human brain (i.e., human connectomics). Over the past few years, researchers have demonstrated that by combining a variety of different neuroimaging technologies (e.g., structural MRI, diffusion MRI and functional MRI) with sophisticated analytic strategies such as graph theory, it is possible to noninvasively map the patterns of structural and functional connectivity of human whole-brain networks. With these novel approaches, many studies have shown that human brain networks have nonrandom properties such as modularity, small-worldness and highly connected hubs. Importantly, these quantifiable network properties change with age, learning and disease. Moreover, there is growing evidence for behavioral and genetic correlates. Network analysis of neuroimaging data is opening up a new avenue of research into the understanding of the organizational principles of the brain that will be of interest for all basic scientists and clinical researchers. Such approaches are powerful but there are a number of challenging issues when extracting reliable brain networks from various imaging modalities and analyzing the topological properties, e.g., definitions of network nodes and edges and reproducibility of network analysis. We assembled contributions related to the state-of-the-art methodologies of brain connectivity and the applications involving development, aging and neuropsychiatric disorders such as Alzheimer’s disease, schizophrenia, attention deficit hyperactivity disorder and mood and anxiety disorders. It is anticipated that the articles in this Research Topic will provide a greater range and depth of provision for the field of imaging connectomics.
Fundamentals Of Brain Network Analysis
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Author : Alex Fornito
language : en
Publisher: Academic Press
Release Date : 2016-03-04
Fundamentals Of Brain Network Analysis written by Alex Fornito and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-04 with Medical categories.
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
Invasive Studies Of The Human Epileptic Brain
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Author : Samden D. Lhatoo
language : en
Publisher: Oxford University Press
Release Date : 2018-11-15
Invasive Studies Of The Human Epileptic Brain written by Samden D. Lhatoo and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-15 with Medical categories.
No other neurological condition allows the same opportunities for an intracranial electrophysiological study of the human brain as epilepsy does. Epileptic surgery is designed to remove the epileptic focus from the human brain, thereby effecting either cure or substantial reduction of seizures in an individual with an otherwise intractable condition. Its use as a treatment modality dates from the late 19th century, and it has become a widely used treatment option throughout the world in the last 20-30 years. The complexity of epilepsy cases in surgical centres, and the need for invasive electrode studies for pre-surgical evaluation, are both greatly increasing. Invasive Studies of the Human Epileptic Brain is the definitive reference text on the use of invasive electroencephalographic (EEG) diagnostic studies in human epilepsy. Written by some of the most renowned epilepsy experts of the 20th and 21st centuries, the authors provide their expertise and insights into the identification and mapping of intracranial epileptiform and non-epileptiform activity, mapping of the human brain function, and approaches in the use of invasive electroencephalography in a variety of clinical situations. The book is organized into an easily readable series of chapters and is brilliantly illustrated with case studies; each providing an intuitively comprehensive approach to invasive brain studies.
Methods In Brain Connectivity Inference Through Multivariate Time Series Analysis
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Author : Koichi Sameshima
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Methods In Brain Connectivity Inference Through Multivariate Time Series Analysis written by Koichi Sameshima and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.
Interest in brain connectivity inference has become ubiquitous and is now increasingly adopted in experimental investigations of clinical, behavioral, and experimental neurosciences. Methods in Brain Connectivity Inference through Multivariate Time Series Analysis gathers the contributions of leading international authors who discuss different time series analysis approaches, providing a thorough survey of information on how brain areas effectively interact. Incorporating multidisciplinary work in applied mathematics, statistics, and animal and human experiments at the forefront of the field, the book addresses the use of time series data in brain connectivity interference studies. Contributors present codes and data examples to back up their methodological descriptions, exploring the details of each proposed method as well as an appreciation of their merits and limitations. Supplemental material for the book, including code, data, practical examples, and color figures is supplied in the form of downloadable resources with directories organized by chapter and instruction files that provide additional detail. The field of brain connectivity inference is growing at a fast pace with new data/signal processing proposals emerging so often as to make it difficult to be fully up to date. This consolidated panorama of data-driven methods includes theoretical bases allied to computational tools, offering readers immediate hands-on experience in this dynamic arena.
Neural Information Processing
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Author : Minho Lee
language : en
Publisher: Springer
Release Date : 2013-10-29
Neural Information Processing written by Minho Lee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-29 with Computers categories.
The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.
Graph Learning For Brain Imaging
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Author : Feng Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-30
Graph Learning For Brain Imaging written by Feng Liu 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 2022-09-30 with Science categories.
Brain Connectivity In Autism
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Author : Rajesh K. Kana
language : en
Publisher: Frontiers E-books
Release Date : 2014-09-23
Brain Connectivity In Autism written by Rajesh K. Kana and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-23 with Autism categories.
The brain's ability to process information crucially relies on connectivity. Understanding how the brain processes complex information and how such abilities are disrupted in individuals with neuropsychological disorders will require an improved understanding of brain connectivity. Autism is an intriguingly complex neurodevelopmental disorder with multidimensional symptoms and cognitive characteristics. A biological origin for autism spectrum disorders (ASD) had been proposed even in the earliest published accounts (Kanner, 1943; Asperger, 1944). Despite decades of research, a focal neurobiological marker for autism has been elusive. Nevertheless, disruptions in interregional and functional and anatomical connectivity have been a hallmark of neural functioning in ASD. Theoretical accounts of connectivity perceive ASD as a cognitive and neurobiological disorder associated with altered functioning of integrative circuitry. Neuroimaging studies have reported disruptions in functional connectivity (synchronization of activated brain areas) during cognitive tasks and during task-free resting states. While these insights are valuable, they do not address the time-lagged causality and directionality of such correlations. Despite the general promise of the connectivity account of ASD, inconsistencies and methodological differences among studies call for more thorough investigations. A comprehensive neurological account of ASD should incorporate functional, effective, and anatomical connectivity measures and test the diagnostic utility of such measures. In addition, questions pertaining to how cognitive and behavioral intervention can target connection abnormalities in ASD should be addressed. This research topic of the Frontiers in Human Neuroscience addresses “Brain Connectivity in Autism” primarily from cognitive neuroscience and neuroimaging perspectives.
Machine Learning For Neurodegenerative Disorders
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Author : Biswajit Jena
language : en
Publisher: CRC Press
Release Date : 2025-03-31
Machine Learning For Neurodegenerative Disorders written by Biswajit Jena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Science categories.
This book explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders. This comprehensive resource is intended for neuroscientists, students, researchers, and neurologists to understand the emerging scope of machine learning in neurodegenerative disorders.
Typical And Atypical Child And Adolescent Development 2 Genes Fetal Development And Early Neurological Development
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Author : Stephen von Tetzchner
language : en
Publisher: Taylor & Francis
Release Date : 2022-07-28
Typical And Atypical Child And Adolescent Development 2 Genes Fetal Development And Early Neurological Development written by Stephen von Tetzchner and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-28 with Psychology categories.
This concise guide offers an accessible introduction to genes, fetal development and early brain development. It integrates insights from typical and atypical development to reveal fundamental aspects of human growth and development, and common developmental disorders. The topic books in this series draw on international research in the field and are informed by biological, social and cultural perspectives, offering explanations of developmental phenomena with a focus on how children and adolescents at different ages actually think, feel and act. In this succinct volume, Stephen von Tetzchner explains key topics including: Genetic inheritance, evolution, heredity and environment in individual differences, fetal development, prenatal stimulation, methods of studying the brain, brain development, early and later plasticity and brain organization and atypical development. Together with a companion website that offers topic-based quizzes, lecturer PowerPoint slides and sample essay questions, Typical and Atypical Child and Adolescent Development 2: Genes, Fetal Development and Early Neurological Development is an essential text for all students of developmental psychology, as well as those working in the fields of child development, developmental disabilities and special education.