Neuroimaging for the Characterization of Brain Disorders PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Neuroimaging for the Characterization of Brain Disorders PDF full book. Access full book title Neuroimaging for the Characterization of Brain Disorders by Kathline Swift. Download full books in PDF and EPUB format.
Author: Kathline Swift
Publisher: American Medical Publishers
ISBN:
Category : Medical
Languages : en
Pages : 0
Get Book Here
Book Description
Neuroimaging refers to the utilization of quantitative methods for the study of the structure and function of the central nervous system. It was developed as a non-invasive method to scientifically investigate the healthy human brain. It is widely being used in quantitative investigations for psychiatric illnesses and brain disorders. Various techniques that are used in neuroimaging include computed axial tomography and magnetic resonance imaging, diffuse optical imaging, positron emission tomography, cranial ultrasound. The human brain is a massive, interconnected and complex system. Advanced neuroimaging techniques such as diffusion tensor imaging and functional magnetic resonance imaging allow us to investigate the underlying principles of brain structural and functional architectures. It also enables us to study the pathological changes in a variety of brain disorders. Multi-modal neuroimaging techniques could provide a more thorough understanding of the pathomechanism of brain disorders, which facilitates early diagnosis and helps in assessing prognosis and therapeutic effect. This book elucidates the concepts and innovative models around prospective developments with respect to the characterization of brain disorders. The topics covered herein offer the readers new insights in the field of neuroimaging.
Author: Kathline Swift
Publisher: American Medical Publishers
ISBN:
Category : Medical
Languages : en
Pages : 0
Get Book Here
Book Description
Neuroimaging refers to the utilization of quantitative methods for the study of the structure and function of the central nervous system. It was developed as a non-invasive method to scientifically investigate the healthy human brain. It is widely being used in quantitative investigations for psychiatric illnesses and brain disorders. Various techniques that are used in neuroimaging include computed axial tomography and magnetic resonance imaging, diffuse optical imaging, positron emission tomography, cranial ultrasound. The human brain is a massive, interconnected and complex system. Advanced neuroimaging techniques such as diffusion tensor imaging and functional magnetic resonance imaging allow us to investigate the underlying principles of brain structural and functional architectures. It also enables us to study the pathological changes in a variety of brain disorders. Multi-modal neuroimaging techniques could provide a more thorough understanding of the pathomechanism of brain disorders, which facilitates early diagnosis and helps in assessing prognosis and therapeutic effect. This book elucidates the concepts and innovative models around prospective developments with respect to the characterization of brain disorders. The topics covered herein offer the readers new insights in the field of neuroimaging.
Author: Yuhui Du
Publisher: Frontiers Media SA
ISBN: 2889634043
Category :
Languages : en
Pages : 288
Get Book Here
Book Description
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.
Author: Christophe Habas
Publisher: Springer
ISBN: 3319789260
Category : Medical
Languages : en
Pages : 360
Get Book Here
Book Description
Notable experts in the field of neuroimaging provide comprehensive overviews of advances in functional and structural aspects of both common and uncommon brain disorders. Functional imaging is evolving quickly but researchers and clinicians do not always have a strong understanding of the fundamental basis of the imaging techniques that they use. By focusing on both structure and function this book will provide a strong foundation for emerging developments in the field.
Author: Hernando Ombao
Publisher: CRC Press
ISBN: 1482220989
Category : Mathematics
Languages : en
Pages : 702
Get Book Here
Book Description
This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.
Author: Sidong Liu
Publisher: Springer
ISBN: 9811035334
Category : Computers
Languages : en
Pages : 153
Get Book Here
Book Description
This thesis covers various facets of brain image computing methods and illustrates the scientific understanding of neurodegenerative disorders based on four general aspects of multimodal neuroimaging computing: neuroimaging data pre-processing, brain feature modeling, pathological pattern analysis, and translational model development. It demonstrates how multimodal neuroimaging computing techniques can be integrated and applied to neurodegenerative disease research and management, highlighting relevant examples and case studies. Readers will also discover a number of interesting extension topics in longitudinal neuroimaging studies, subject-centered analysis, and the brain connectome. As such, the book will benefit all health informatics postgraduates, neuroscience researchers, neurology and psychiatry practitioners, and policymakers who are interested in medical image computing and computer-assisted interventions. “br>
Author: Russell A. Poldrack
Publisher: Princeton University Press
ISBN: 0691208980
Category : Psychology
Languages : en
Pages : 216
Get Book Here
Book Description
Thinking on 20 watts -- The visible mind -- fMRI grows up -- Can fMRI read minds? -- How do brains change over time? -- Crimes and lies -- Decision neuroscience -- Is mental illness just a brain disease? -- The future of neuroimaging.
Author: Mark Jenkinson
Publisher: Oxford University Press
ISBN: 0192548271
Category : Medical
Languages : en
Pages : 538
Get Book Here
Book Description
MRI has emerged as a powerful way of studying in-vivo brain structure and function in both healthy and disease states. Whilst new researchers may be able to call upon advice and support for acquisition from operators, radiologists and technicians, it is more challenging to obtain an understanding of the principles of analysing neuroimaging data. This is crucial for choosing acquisition parameters, designing and performing appropriate experiments, and correctly interpreting the results. This primer gives a general and accessible introduction to the wide array of MRI-based neuroimaging methods that are used in research. Supplemented with online datasets and examples to enable the reader to obtain hands-on experience working with real data, it provides a practical and approachable introduction for those new to the neuroimaging field. The text also covers the fundamentals of what different MRI modalities measure, what artifacts commonly occur, the essentials of the analysis, and common 'pipelines' including brain extraction, registration and segmentation. As it does not require any background knowledge beyond high-school mathematics and physics, this primer is essential reading for anyone wanting to work in neuroimaging or grasp the results coming from this rapidly expanding field. The Oxford Neuroimaging Primers are short texts aimed at new researchers or advanced undergraduates from the biological, medical or physical sciences. They are intended to provide a broad understanding of the ways in which neuroimaging data can be analyzed and how that relates to acquisition and interpretation. Each primer has been written so that it is a stand-alone introduction to a particular area of neuroimaging, and the primers also work together to provide a comprehensive foundation for this increasingly influential field.
Author: Christoph M. Michel
Publisher: Cambridge University Press
ISBN: 1139480901
Category : Medical
Languages : en
Pages : 249
Get Book Here
Book Description
Electrical neuroimaging is based on the analysis of brain electrical activity recorded from the human scalp with multichannel EEG. It offers enormous potential for the dynamic mapping of brain functions, and for the non-invasive diagnosis of neurological and psychiatric conditions. This authoritative reference gives a systematic overview of new electrical imaging methods, with a sound introduction to the basics of multichannel recording of EEG and event-related potential (ERP) data, as well as spatio-temporal analysis of the potential fields. The book enables researchers to measure valid data, select and apply appropriate analysis strategies, and avoid the most common mistakes when analyzing and interpreting EEG/ERP data. Importantly, it informs the research communities of the possibilities opened by these space-domain oriented approaches to the analysis of brain electrical activity, and of their potential to offer even more powerful diagnostic techniques when integrated with other clinically relevant data.
Author: Barry Horwitz
Publisher: Frontiers E-books
ISBN: 288919020X
Category :
Languages : en
Pages : 314
Get Book Here
Book Description
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.
Author: Jörg Polzehl
Publisher: Springer Nature
ISBN: 3030291847
Category : Medical
Languages : en
Pages : 231
Get Book Here
Book Description
This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts. The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters cover three common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric statistics used and the resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, as well as open data and open science. It relies solely on a dynamic report generation with knitr and uses neuroimaging data publicly available in data repositories. The PDF was created executing the R code in the chunks and then running LaTeX, which means that almost all figures, numbers, and results were generated while producing the PDF from the sources.
