Download or read book Computational Neuroimage Analysis Tools for Brain Diseases Biomarkers written by Diana M. Sima and published by Frontiers Media SA. This book was released on 2022-03-15 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Imaging Biomarkers for Neurologic Disease written by Anas Zainul Abidin and published by . This book was released on 2019 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Neurological disorders constitute a major health as well as societal burden across the globe. The problem is further aggravated by the growth of geriatric population. Although the etiology of these disorders is fairly broad, a consistent observation is the prevalence of atypical connectivity changes occurring across brain regions, particularly if the diseases processes target synapses. Estimating this connectivity using functional neuroimaging continues to be one the most challenging methodological problems in the field of computational neuroscience. Brain connectivity, particularly in clinically oriented research applications of functional MRI (fMRI), is primarily studied through correlation analyses which while being computationally and conceptually simpler, tend to ignore the non-linear, directional and multivariate characteristics of the brain. The goal of this thesis is to tackle the limitations of existing methods for studying functional connectivity through novel techniques. The specific focus is to enhance the use of advanced connectivity beyond tautological deductions on brain organization to demonstration of their applicability in clinical scenarios. This is accomplished through (1) development and extensive validation of techniques based on dynamic systems modeling and Granger causality, (2) adaptation of graph theoretic analysis and network based techniques for appropriate statistical inference. The application of these methods is demonstrated on datasets from two neurologic diseases (a) HIV associated neurocognitive disorders, and (b) Autism spectrum disease. The results obtained lend credence to the utility of improved connectivity computation methods for detection of neurologic diseases and also the localization of its effects in the brain. These methods could be of significant interest for the development of non-invasive functional MRI derived biomarkers, which could be pertinent for various clinical applications, including early detection, monitoring progression or detecting response to therapy."--Pages xv-xvi.

Download or read book Identifying Neuroimaging Based Markers for Distinguishing Brain Disorders written by Yuhui Du and published by Frontiers Media SA. This book was released on 2020-07-10 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been increasing interests in exploring biomarkers from brain images, aiming to have a better understanding and a more effective diagnosis of brain disorders such as schizophrenia, bipolar disorder, schizoaffective disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, Alzheimer’s disease and so on. Therefore, it is important to identify disease-specific changes for distinguishing healthy controls and patients with brain disorders as well as for differentiating patients with different disorders showing similar clinical symptoms. Biomarkers can be identified from different types of brain Imaging techniques including functional magnetic resonance imaging (fMRI), structural MRI, positron emission tomography (PET), electroencephalography (EEG), and magnetoencephalography (MEG) by using statistical analysis methods. Furthermore, based on measures from brain imaging techniques, machine learning techniques can help to classify or predict disease for individual subjects. In fact, fusion of features from multiple modalities may benefit the understanding of disease mechanism and improve the classification performance. This Research Topic further explores the functional or structural alterations in brain disorders.

Download or read book Computational Neuroscience written by Drozdstoy Stoyanov and published by Springer Nature. This book was released on 2023-05-10 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume looks at the latest advancements in imaging neuroscience methods using magnetic resonance imaging (MRI) and electroencephalography (EEG) to study the healthy and diseased brain. The chapters in this book are organized into five parts. Parts One and Two cover an introduction to this field and the latest use of molecular models. Part Three explores neurophysiological methods for assessment, such as quantitative EEG and event-related potentials. Part Four discusses the advances and innovations made in computational anatomy, and Part Five addresses the challenges faced by researchers prior to the computational neuroscience to find wider translational applications in the field of psychiatry and mental health. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and comprehensive, Computational Neuroscience is a valuable tool for researchers in the psychiatry and mental health fields who want to learn more about ways to incorporate computational approaches into utility and validity of clinical methods.

Download or read book Validating Neuro Computational Models of Neurological and Psychiatric Disorders written by Basabdatta Sen Bhattacharya and published by Springer. This book was released on 2015-10-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific problem being studied. Validation is essential for neuro-inspired computational models to become useful tools in the understanding and treatment of disease conditions. Currently, the immense diversity in neuro-computational modelling approaches for investigating brain diseases has created the need for a structured and coordinated approach to benchmark and standardise validation methods and techniques in this field of research. This book serves as a step towards a systematic approach to validation of neuro-computational models used for studying brain diseases and should be useful for all neuro-computational modellers.

Download or read book Biomarkers in Psychiatry written by Judith Pratt and published by Springer. This book was released on 2019-01-05 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt ‘Biomarkers’ for prevention, diagnosis, and treatment responses in mental health conditions. It meshes together state of the art research from international renowned pre-clinical and clinical scientists to illustrate how the fields of anxiety disorders, depression, psychotic disorders, and autism spectrum disorder have advanced in recent years.

Download or read book Statistical Techniques for Neuroscientists written by Young K. Truong and published by CRC Press. This book was released on 2016-10-04 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein. The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods. The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.

Download or read book Brain image Based Computation for Supporting Clinical Decision in Neurological and Psychiatric Disorders written by Lin Shi and published by Frontiers Media SA. This book was released on 2021-04-07 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computational models of brain in cognitive function and mental disorder written by Rubin Wang and published by Frontiers Media SA. This book was released on 2023-12-27 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book MRI Atlas of Human White Matter written by Kenichi Oishi and published by Academic Press. This book was released on 2010-11-12 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: MRI Atlas of Human White Matter presents an atlas to the human brain on the basis of T 1-weighted imaging and diffusion tensor imaging. A general background on magnetic resonance imaging is provided, as well as the basics of diffusion tensor imaging. An overview of the principles and limitations in using this methodology in fiber tracking is included. This book describes the core white-matter structures, as well as the superficial white matter, the deep gray matter, and the cortex. It also presents a three-dimensional reconstruction and atlas of the brain white-matter tracts. The Montreal Neurological Institute coordinates, which are the most widely used, are adopted in this book as the primary coordinate system. The Talairach coordinate system is used as the secondary coordinate system. Based on magnetic resonance imaging and diffusion tensor imaging, the book offers a full segmentation of 220 white-matter and gray-matter structures with boundaries. - Visualization of brain white matter anatomy via 3D diffusion tensor imaging (DTI) contrasts and enhances relationship of anatomy to function - Full segmentation of 170+ brain regions more clearly defines structure boundaries than previous point-and-annotate anatomical labeling, and connectivity is mapped in a way not provided by traditional atlases

Download or read book Medical Image Computing and Computer Assisted Intervention MICCAI 2014 written by Polina Golland and published by Springer. This book was released on 2014-08-31 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 53 papers included in the third volume have been organized in the following topical sections: shape and population analysis; brain; diffusion MRI; and machine learning.

Download or read book Neuroimaging biomarkers in Alzheimer s disease written by Samuel Barrack and published by iMedPub. This book was released on 2013-10-20 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: In view of the growing prevalence of AD worldwide, there is an urgent need for the development of better diagnostic tools and more effective therapeutic interventions. Indeed, much work in this field has been done during last decades. As such, a major goal of current clinical research in AD is to improve early detection of disease and presymptomatic detection of neuronal dysfunction, concurrently with the development of better tools to assess disease progression in this group of disorders. All these putative correlates are commonly referred to as AD-related biomarkers. The ideal biomarker should be easy to quantify and measure, reproducible, not subject to wide variation in the general population and unaffected by co- morbid factors. For evaluation of therapies, a biomarker needs to change linearly with disease progression and closely correlate with established clinico-pathological parameters of the disease. There is growing evidence that the use of biomarkers will increase our ability to better indentify the underlying biology of AD, especially in its early stages. These biomarkers will improve the detection of the patients suitable for research studies and drug trials, and they will contribute to a better management of the disease in the clinical practice. Indeed, much work in this field has been done during last decades. The vast number of important applications, combined with the untamed diversity of already identified biomarkers, show that there is a pressing need to structure the research made on AD biomarkers into a solid, comprehensive and easy to use tool to de deployed in clinical settings. To date there are few publications compiling results on this topic. That is why when I was asked to address this task I accepted inmediately. I am happy to present you a bundle of the best articles published about biomarkers for Alzheimer’s disease in recent times.

Download or read book Medical Image Computing and Computer Assisted Intervention MICCAI 2024 written by Marius George Linguraru and published by Springer Nature. This book was released on with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence Blockchain Computing and Security Volume 1 written by Arvind Dagur and published by CRC Press. This book was released on 2023-10-23 with total page 1278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.

Download or read book Computational Approaches for Ageing and Age related diseases written by Stanley Durrleman and published by Frontiers Media SA. This book was released on 2022-08-11 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Medical Image Computing and Computer Assisted Intervention written by S. Kevin Zhou and published by Academic Press. This book was released on 2019-10-18 with total page 1074 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention

Download or read book Deciphering the biomarkers of Alzheimer s disease written by Yu Chen and published by Frontiers Media SA. This book was released on 2022-02-11 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: