Statistical Parametric Mapping The Analysis Of Functional Brain Images
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Statistical Parametric Mapping The Analysis Of Functional Brain Images
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Author : William D. Penny
language : en
Publisher: Elsevier
Release Date : 2011-04-28
Statistical Parametric Mapping The Analysis Of Functional Brain Images written by William D. Penny and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-28 with Psychology categories.
In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. - An essential reference and companion for users of the SPM software - Provides a complete description of the concepts and procedures entailed by the analysis of brain images - Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data - Stands as a compendium of all the advances in neuroimaging data analysis over the past decade - Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes - Structured treatment of data analysis issues that links different modalities and models - Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible
Statistical Parametric Mapping
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Author : Karl J. Friston
language : en
Publisher:
Release Date : 2007
Statistical Parametric Mapping written by Karl J. Friston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Brain categories.
Brain Imaging Methods Editor S Pick 2021
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Author : Vince D. Calhoun
language : en
Publisher: Frontiers Media SA
Release Date : 2021-07-01
Brain Imaging Methods Editor S Pick 2021 written by Vince D. Calhoun 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 2021-07-01 with Science categories.
Quantitative Functional Brain Imaging With Positron Emission Tomography
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Author : Richard E. Carson
language : en
Publisher: Elsevier
Release Date : 1998-09-08
Quantitative Functional Brain Imaging With Positron Emission Tomography written by Richard E. Carson and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-08 with Science categories.
This book presents the latest scientific developments in the field of positron emission tomography (PET) dealing with data acquisition, image processing, applications, statistical analysis, tracer development, parameter estimation, and kinetic modeling. It covers improved methodology and the application of existing techniques to new areas. The text also describes new approaches in scanner design and image processing, and the latest techniques for modeling and statistical analyses. This volume will be a useful reference for the active brain PET scientist, as well as a valuable introduction for students and researchers who wish to take advantage of the capabilities of PET to study the normal and diseased brain. - Authored by international authorities in PET - Provides the latest up-to-date techniques and applications - Covers all fundamental disciplines of PET in one volume - A comprehensive resource for students, clinicians, and new PET researchers
Handbook Of Big Data Analytics
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Author : Wolfgang Karl Härdle
language : en
Publisher: Springer
Release Date : 2018-07-20
Handbook Of Big Data Analytics written by Wolfgang Karl Härdle and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-20 with Computers categories.
Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.
Pet Imaging In Central Nervous System Disorders An Issue Of Pet Clinics
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Author : Eric Guedj
language : en
Publisher: Elsevier Health Sciences
Release Date : 2024-11-19
Pet Imaging In Central Nervous System Disorders An Issue Of Pet Clinics written by Eric Guedj 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 2024-11-19 with Medical categories.
In this issue of PET Clinics, guest editors Drs. Abass Alavi, Andrew B. Newberg, Poul Flemming Høilund-Carlsen, and Eric Guedj bring their considerable expertise to the topic of PET-CT-MRI in Central Nervous System Disorders with Emphasis on Dementias. Top experts in the field provide an overview of PET imaging in the most common dementias and brain diseases, such as Alzheimer's and epilepsy. Specific articles also investigate normal brain aging, long COVID, brain trauma, and human experience and consciousness. - Contains 12 relevant, practice-oriented topics including PET, CT, and MRI/fMRI in Alzheimer's disease; brain PET imaging of movement disorders; the role of PET in depressive disorders; PET imaging for assessing brain function in normal aging; brain PET imaging of epilepsy; and more. - Provides in-depth clinical reviews on PET-CT-MRI in CNS disorders with emphasis on dementias, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Functional Neuroimaging In Exercise And Sport Sciences
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Author : Henning Boecker
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-06-19
Functional Neuroimaging In Exercise And Sport Sciences written by Henning Boecker 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 2012-06-19 with Medical categories.
Regular physical exercise is associated with substantial health benefits. Recent evidence not only holds for cardiovascular effects promoting "physical health", but also for the central nervous system believed to promote "brain health”. Moderate physical exercise has been found to improve learning, memory, and attentional processing, with recent research indicating that neuroprotective mechanisms and associated plasticity in brain structure and function also benefit. Physical exercise is also known to induce a range of acute or sustained psychophysiological effects, among these mood elevation, stress reduction, anxiolysis, and hypoalgesia. Today, modern functional neuroimaging techniques afford direct measurement of the acute and chronic relation of physical exercise on the human brain, as well as the correlation of the derived physiological in vivo signals with behavioral outcomes recorded during and after exercise. A wide range of imaging techniques have been applied to human exercise research, ranging from electroencephalography (EEG), magnetoencephalography (MEG), near infrared spectroscopy (NIRS), magnetic resonance imaging (MRI) to positron emission tomography (PET). All of these imaging methods provide distinct information, and they differ considerably in terms of spatial and temporal resolution, availability, cost, and associated risks. However, from a “multimodal imaging” perspective, neuroimaging provides an unprecedented potential to unravel the neurobiology of human exercise, covering a wide spectrum ranging from structural plasticity in gray and white matter, network dynamics, global and regional perfusion, evoked neuronal responses to the quantification of neurotransmitter release. The aim of this book is to provide the current state of the human neuroimaging literature in the emerging field of the neurobiological exercise sciences and to outline future applications and directions of research.
The Oxford Handbook Of Functional Brain Imaging In Neuropsychology And Cognitive Neurosciences
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Author : Andrew C. Papanicolaou
language : en
Publisher: Oxford University Press
Release Date : 2017-04-27
The Oxford Handbook Of Functional Brain Imaging In Neuropsychology And Cognitive Neurosciences written by Andrew C. Papanicolaou 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 2017-04-27 with Psychology categories.
The Oxford Handbook of Functional Brain Imaging in Neuropsychology and Cognitive Neurosciences describes in a readily accessible manner the several functional neuroimaging methods and critically appraises their applications that today account for a large part of the contemporary cognitive neuroscience and neuropsychology literature. The complexity and the novelty of these methods often cloud appreciation of the methods' contributions and future promise. The Handbook begins with an overview of the basic concepts of functional brain imaging common to all methods, and proceeds with a description of each of them, namely magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), diffusion tensor imaging (DTI), and transcranial magnetic stimulation (TMS). Its second part covers the various research applications of functional neuroimaging on issues like the function of the default mode network; the possibility and the utility of imaging of consciousness; the search for mnemonic traces of concepts; human will and decision-making; motor cognition; language; the mechanisms of affective states and pain; the presurgical mapping of the brain; and others. As such, the volume reviews the methods and their contributions to current research and comments on the degree to which they have enhanced our understanding of the relation between neurophysiological activity and sensory, motor, and cognitive functions. Moreover, it carefully considers realistic contributions of functional neuroimaging to future endeavors in cognitive neuroscience, medicine, and neuropsychology.
Anxiety Disorders
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Author : Yong-Ku Kim
language : en
Publisher: Springer Nature
Release Date : 2020-01-30
Anxiety Disorders written by Yong-Ku Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-30 with Medical categories.
This book reviews all important aspects of anxiety disorders with the aim of shedding new light on these disorders through combined understanding of traditional and novel paradigms. The book is divided into five sections, the first of which reinterprets anxiety from a network science perspective, examining the altered topological properties of brain networks in anxiety disorders. The second section discusses recent advances in understanding of the neurobiology of anxiety disorders, covering, for example, gene-environmental interactions and the roles of neurotransmitter systems and the oxytocin system. A wide range of diagnostic and clinical issues in anxiety disorders are then addressed, before turning attention to contemporary treatment approaches in the context of novel bio-psychosocial-behavioral models, including bio- and neurofeedback, cognitive behavioral therapy, neurostimulation, virtual reality exposure therapy, pharmacological interventions, psychodynamic therapy, and CAM options. The final section is devoted to precision psychiatry in anxiety disorders, an increasingly important area as we move toward personalized treatment. Anxiety Disorders will be of interest for all researchers and clinicians in the field.
An Introduction To Model Based Cognitive Neuroscience
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Author : Birte U. Forstmann
language : en
Publisher: Springer
Release Date : 2015-04-20
An Introduction To Model Based Cognitive Neuroscience written by Birte U. Forstmann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-20 with Medical categories.
Two recent innovations, the emergence of formal cognitive models and the addition of cognitive neuroscience data to the traditional behavioral data, have resulted in the birth of a new, interdisciplinary field of study: model-based cognitive neuroscience. Despite the increasing scientific interest in model-based cognitive neuroscience, few active researchers and even fewer students have a good knowledge of the two constituent disciplines. The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field will provide tutorial-style chapters that explain particular techniques and highlight their usefulness through concrete examples and numerous case studies. The book will also include a thorough list of references pointing the reader towards additional literature and online resources.