Download Full eBooks in PDF
Temporal Features In Resting State Fmri Data Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Temporal Features In Resting State Fmri Data book. This book definitely worth reading, it is an incredibly well-written.
Author : Xiaoping Philip Hu,Nanyin Zhang
Publisher : Frontiers Media SA
Page : 136 pages
File Size : 41,7 Mb
Release : 2021-01-20
Category : Science
ISBN : 9782889664085
Author : Diederik P. Kingma,Max Welling
Publisher : Unknown
Page : 102 pages
File Size : 46,8 Mb
Release : 2019-11-12
Category : Computers
ISBN : 1680836226
An Introduction to Variational Autoencoders provides a quick summary for the of a topic that has become an important tool in modern-day deep learning techniques.
Author : Jean Chen,Garth John Thompson,Shella Keilholz,Peter Herman
Publisher : Frontiers Media SA
Page : 188 pages
File Size : 49,5 Mb
Release : 2020-12-28
Category : Science
ISBN : 9782889662852
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author : Janine Bijsterbosch,Stephen M. Smith,Christian F. Beckmann
Publisher : Oxford University Press
Page : 200 pages
File Size : 53,7 Mb
Release : 2017-05-19
Category : Medical
ISBN : 9780192535740
Spontaneous 'resting-state' fluctuations in neuronal activity offer insights into the inherent organisation of the human brain, and may provide markers for diagnosis and treatment of mental disorders. Resting state functional magnetic resonance imaging (fMRI) can be used to investigate intrinsic functional connectivity networks, which are identified based on similarities in the signal measured from different regions. From data acquisition to results interpretation, An Introduction to Resting State fMRI Functional Connectivity discusses a wide range of approaches without expecting previous knowledge of the reader, making it truly accessible to readers from a broad range of backgrounds. Supplemented with online examples to enable the reader to obtain hands-on experience working with data, the text also provides details to enhance learning for those already experienced in the field. The Oxford Neuroimaging Primers are written for new researchers or advanced undergraduates in neuroimaging to provide a thorough understanding of the ways in which neuroimaging data can be analysed and interpreted. Aimed at students without a background in mathematics or physics, this book is also important reading for those familiar with task fMRI but new to the field of resting state fMRI.
Author : Jean Chen,Catie Chang
Publisher : Elsevier
Page : 382 pages
File Size : 45,7 Mb
Release : 2023-07-03
Category : Psychology
ISBN : 9780323985451
Advances in Resting-State Functional MRI: Methods, Interpretation, and Applications gives readers with basic neuroimaging experience an up-to-date and in-depth understanding of the methods, opportunities, and challenges in rs-fMRI. The book covers current knowledge gaps in rs-fMRI, including "what are biologically plausible brain networks," "how to tell what part is noise," "how to perform quality assurance on the data," "what are the spatial and temporal limits of our ability to resolve FC," and "how to best identify network features related to individual differences or disease state". This book is an ideal reference for neuroscientists, computational neuroscientists, psychologists, biomedical engineers, physicists and medical physicists. Both new and more advanced researchers alike will be able to discover new information distilled from the past decade of research to become well-versed in rs-fMRI-related topics. Presents the first book to explain the latest methods, opportunities and challenges of Resting-state Functional MRI Edited and authored by leading researchers in fMRI Includes neuroscientific and clinical applications
Author : Donald W. Pfaff,Nora D. Volkow
Publisher : Springer
Page : 0 pages
File Size : 41,8 Mb
Release : 2016-10-27
Category : Medical
ISBN : 1493934732
Edited and authored by a wealth of international experts in neuroscience and related disciplines, this key new resource aims to offer medical students and graduate researchers around the world a comprehensive introduction and overview of modern neuroscience. Neuroscience research is certain to prove a vital element in combating mental illness in its various incarnations, a strategic battleground in the future of medicine, as the prevalence of mental disorders is becoming better understood each year. Hundreds of millions of people worldwide are affected by mental, behavioral, neurological and substance use disorders. The World Health Organization estimated in 2002 that 154 million people globally suffer from depression and 25 million people from schizophrenia; 91 million people are affected by alcohol use disorders and 15 million by drug use disorders. A more recent WHO report shows that 50 million people suffer from epilepsy and 24 million from Alzheimer’s and other dementias. Because neuroscience takes the etiology of disease—the complex interplay between biological, psychological, and sociocultural factors—as its object of inquiry, it is increasingly valuable in understanding an array of medical conditions. A recent report by the United States’ Surgeon General cites several such diseases: schizophrenia, bipolar disorder, early-onset depression, autism, attention deficit/ hyperactivity disorder, anorexia nervosa, and panic disorder, among many others. Not only is this volume a boon to those wishing to understand the future of neuroscience, it also aims to encourage the initiation of neuroscience programs in developing countries, featuring as it does an appendix full of advice on how to develop such programs. With broad coverage of both basic science and clinical issues, comprising around 150 chapters from a diversity of international authors and including complementary video components, Neuroscience in the 21st Century in its second edition serves as a comprehensive resource to students and researchers alike.
Author : Daoqiang Zhang,Luping Zhou,Biao Jie,Mingxia Liu
Publisher : Springer Nature
Page : 182 pages
File Size : 42,7 Mb
Release : 2019-11-13
Category : Computers
ISBN : 9783030358174
This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging.
Author : In-Young Choi,Peter Jezzard
Publisher : Academic Press
Page : 640 pages
File Size : 44,7 Mb
Release : 2021-11-17
Category : Psychology
ISBN : 9780128224953
Advanced Neuro MR Techniques and Applications gives detailed knowledge of emerging neuro MR techniques and their specific clinical and neuroscience applications, showing their pros and cons over conventional and currently available advanced techniques. The book identifies the best available data acquisition, processing, reconstruction and analysis strategies and methods that can be utilized in clinical and neuroscience research. It is an ideal reference for MR scientists and engineers who develop MR technologies and/or support clinical and neuroscience research and for high-end users who utilize neuro MR techniques in their research, including clinicians, neuroscientists and psychologists. Trainees such as postdoctoral fellows, PhD and MD/PhD students, residents and fellows using or considering the use of neuro MR technologies will also be interested in this book. Presents a complete reference on advanced Neuro MR Techniques and Applications Edited and written by leading researchers in the field Suitable for a broad audience of MR scientists and engineers who develop MR technologies, as well as clinicians, neuroscientists and psychologists who utilize neuro MR techniques in their research
Author : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Publisher : Academic Press
Page : 544 pages
File Size : 46,5 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9780323858885
Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis. · Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache
Author : Kenneth Hugdahl,Vince D. Calhoun
Publisher : Frontiers E-books
Page : 106 pages
File Size : 42,8 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9782889190713
Last year we edited a Frontiers Research Topic on “An update on neurocognitive impairment in schizophrenia and depression”. We are now following-up this initiative with a new invitation, focusing on “Cognition and neuroimaging in schizophrenia”, thus narrowing the focus on schizophrenia, but expanding the focus to functional and structural neuroimaging to reveal the underlying neuronal architecture behind cognitive impairments. A second focus is closing in on auditory hallucinations and "hearing voices" in the general population by non-psychotic individuals. This has become an important topic in research on schizophrenia and could cast new light on commonalities in symptom-like behavior in non-clinical and clinical “voice hearers” and hallucinating individuals, that in turn could say something about a continuum of symptoms. A third focus is on network connectivity and connectome mapping in schizophrenia using novel state-of-the-art neuroimaging analysis tools. Schizophrenia has long been considered a disease of disconnectivity and thus special emphasis is given to work which addresses the schizophrenia macro-connectome including both functional and structural aspects. Central to such an approach are recent discoveries of intrinsic resting state networks that are task independent, and/or activated in the absence of a cognitive task. Possible impairments in the dynamic interactions between large-scale networks may prove new insights into the neurobiology of schizophrenia and schizophrenia symptoms.
Author : Dewen Hu,Ling-Li Zeng
Publisher : Springer Nature
Page : 258 pages
File Size : 53,6 Mb
Release : 2019-11-12
Category : Medical
ISBN : 9789813295230
This book presents recent advances in pattern analysis of the human connectome. The human connectome, measured by magnetic resonance imaging at the macroscale, provides a comprehensive description of how brain regions are connected. Based on machine learning methods, multiviarate pattern analysis can directly decode psychological or cognitive states from brain connectivity patterns. Although there are a number of works with chapters on conventional human connectome encoding (brain-mapping), there are few resources on human connectome decoding (brain-reading). Focusing mainly on advances made over the past decade in the field of manifold learning, sparse coding, multi-task learning, and deep learning of the human connectome and applications, this book helps students and researchers gain an overall picture of pattern analysis of the human connectome. It also offers valuable insights for clinicians involved in the clinical diagnosis and treatment evaluation of neuropsychiatric disorders.
Author : David F. Abbott,John S. Archer,Patrick W. Carney,David N. Vaughan,Graeme D. Jackson
Publisher : Frontiers Media SA
Page : 297 pages
File Size : 54,6 Mb
Release : 2020-01-29
Category : Electronic
ISBN : 9782889634002
Author : Martin Michalowski,Syed Sibte Raza Abidi,Samina Abidi
Publisher : Springer Nature
Page : 468 pages
File Size : 46,9 Mb
Release : 2022-07-08
Category : Computers
ISBN : 9783031093425
This book constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, held in Halifax, NS, Canada, in June 2022. The 39 full papers presented together with 7 short papers were selected from 113 submissions. The papers are grouped in topical sections on knowledge-based system; machine learning; medical image processing; predictive modeling; natural language processing.
Author : Yao Wu,Feng Liu,Li Zhao,Yuan-Chiao Lu
Publisher : Frontiers Media SA
Page : 201 pages
File Size : 53,6 Mb
Release : 2023-02-08
Category : Science
ISBN : 9782832511893
Author : Mohammad Khosravi
Publisher : Frontiers Media SA
Page : 193 pages
File Size : 50,7 Mb
Release : 2022-12-02
Category : Science
ISBN : 9782832508404