Dynamic Brain Imaging

Dynamic Brain Imaging

Author: Hyder Fahmeed

Publisher: Humana Press

Published: 2014-11-03

Total Pages: 0

ISBN-13: 9781627038812

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If a picture is worth a thousand words, then dynamic images of brain activity certainly warrant many, many more. This book will help users learn to decipher the dynamic imaging data that will be critical to our future understanding of complex brain functions. In recent years, there have been unprecedented methodological advancements in the imaging of brain activity. These techniques allow the measurement of everything from neural activity (e.g., membrane potential, ion ?ux, neurotransmitter ?ux) to energy metabolism (e.g., glucose consumption, oxygen consumption, creatine kinase ?ux) and functional hyperemia (e.g., blood ?ow, volume, oxygenation). This book deals with a variety of magnetic resonance, electrophysiology, and optical methods that are often used to measure some of these dynamic processes. All chapters were written by leading experts, spanning three continents, specializing in state-of-the-art methods. Brie?y, the book has ?ve sections. In the introductory section, there are two chapters; the ?rst one contains a brief pre- ble to dynamic brain imaging and the other presents a novel, analytical approach to processing of dynamically acquired data. The second section has four chapters and delves into a wide range of optical imaging methods. I am privileged to include a chapter from Lawrence B. Cohen, considered by many to be the authority on optical imaging and spectroscopy, both in vitro and in vivo [Cohen LB (1973) Physiol Rev.


Book Synopsis Dynamic Brain Imaging by : Hyder Fahmeed

Download or read book Dynamic Brain Imaging written by Hyder Fahmeed and published by Humana Press. This book was released on 2014-11-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: If a picture is worth a thousand words, then dynamic images of brain activity certainly warrant many, many more. This book will help users learn to decipher the dynamic imaging data that will be critical to our future understanding of complex brain functions. In recent years, there have been unprecedented methodological advancements in the imaging of brain activity. These techniques allow the measurement of everything from neural activity (e.g., membrane potential, ion ?ux, neurotransmitter ?ux) to energy metabolism (e.g., glucose consumption, oxygen consumption, creatine kinase ?ux) and functional hyperemia (e.g., blood ?ow, volume, oxygenation). This book deals with a variety of magnetic resonance, electrophysiology, and optical methods that are often used to measure some of these dynamic processes. All chapters were written by leading experts, spanning three continents, specializing in state-of-the-art methods. Brie?y, the book has ?ve sections. In the introductory section, there are two chapters; the ?rst one contains a brief pre- ble to dynamic brain imaging and the other presents a novel, analytical approach to processing of dynamically acquired data. The second section has four chapters and delves into a wide range of optical imaging methods. I am privileged to include a chapter from Lawrence B. Cohen, considered by many to be the authority on optical imaging and spectroscopy, both in vitro and in vivo [Cohen LB (1973) Physiol Rev.

Magnetoencephalography

Magnetoencephalography

Author: Selma Supek

Publisher: Springer

Published: 2014-08-07

Total Pages: 999

ISBN-13: 3642330452

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Magnetoencephalography (MEG) is an invaluable functional brain imaging technique that provides direct, real-time monitoring of neuronal activity necessary for gaining insight into dynamic cortical networks. Our intentions with this book are to cover the richness and transdisciplinary nature of the MEG field, make it more accessible to newcomers and experienced researchers and to stimulate growth in the MEG area. The book presents a comprehensive overview of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. There are three levels of contributions: 1) tutorials on instrumentation, measurements, modeling, and experimental design; 2) topical reviews providing extensive coverage of relevant research topics; and 3) short contributions on open, challenging issues, future developments and novel applications. The topics range from neuromagnetic measurements, signal processing and source localization techniques to dynamic functional networks underlying perception and cognition in both health and disease. Topical reviews cover, among others: development on SQUID-based and novel sensors, multi-modal integration (low field MRI and MEG; EEG and fMRI), Bayesian approaches to multi-modal integration, direct neuronal imaging, novel noise reduction methods, source-space functional analysis, decoding of brain states, dynamic brain connectivity, sensory-motor integration, MEG studies on perception and cognition, thalamocortical oscillations, fetal and neonatal MEG, pediatric MEG studies, cognitive development, clinical applications of MEG in epilepsy, pre-surgical mapping, stroke, schizophrenia, stuttering, traumatic brain injury, post-traumatic stress disorder, depression, autism, aging and neurodegeneration, MEG applications in cognitive neuropharmacology and an overview of the major open-source analysis tools.


Book Synopsis Magnetoencephalography by : Selma Supek

Download or read book Magnetoencephalography written by Selma Supek and published by Springer. This book was released on 2014-08-07 with total page 999 pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetoencephalography (MEG) is an invaluable functional brain imaging technique that provides direct, real-time monitoring of neuronal activity necessary for gaining insight into dynamic cortical networks. Our intentions with this book are to cover the richness and transdisciplinary nature of the MEG field, make it more accessible to newcomers and experienced researchers and to stimulate growth in the MEG area. The book presents a comprehensive overview of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. There are three levels of contributions: 1) tutorials on instrumentation, measurements, modeling, and experimental design; 2) topical reviews providing extensive coverage of relevant research topics; and 3) short contributions on open, challenging issues, future developments and novel applications. The topics range from neuromagnetic measurements, signal processing and source localization techniques to dynamic functional networks underlying perception and cognition in both health and disease. Topical reviews cover, among others: development on SQUID-based and novel sensors, multi-modal integration (low field MRI and MEG; EEG and fMRI), Bayesian approaches to multi-modal integration, direct neuronal imaging, novel noise reduction methods, source-space functional analysis, decoding of brain states, dynamic brain connectivity, sensory-motor integration, MEG studies on perception and cognition, thalamocortical oscillations, fetal and neonatal MEG, pediatric MEG studies, cognitive development, clinical applications of MEG in epilepsy, pre-surgical mapping, stroke, schizophrenia, stuttering, traumatic brain injury, post-traumatic stress disorder, depression, autism, aging and neurodegeneration, MEG applications in cognitive neuropharmacology and an overview of the major open-source analysis tools.

Observed Brain Dynamics

Observed Brain Dynamics

Author: Partha Mitra

Publisher: Oxford University Press

Published: 2007-12-07

Total Pages: 405

ISBN-13: 0198039638

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The biomedical sciences have recently undergone revolutionary change, due to the ability to digitize and store large data sets. In neuroscience, the data sources include measurements of neural activity measured using electrode arrays, EEG and MEG, brain imaging data from PET, fMRI, and optical imaging methods. Analysis, visualization, and management of these time series data sets is a growing field of research that has become increasingly important both for experimentalists and theorists interested in brain function. Written by investigators who have played an important role in developing the subject and in its pedagogical exposition, the current volume addresses the need for a textbook in this interdisciplinary area. The book is written for a broad spectrum of readers ranging from physical scientists, mathematicians, and statisticians wishing to educate themselves about neuroscience, to biologists who would like to learn time series analysis methods in particular and refresh their mathematical and statistical knowledge in general, through self-pedagogy. It may also be used as a supplement for a quantitative course in neurobiology or as a textbook for instruction on neural signal processing. The first part of the book contains a set of essays meant to provide conceptual background which are not technical and shall be generally accessible. Salient features include the adoption of an active perspective of the nervous system, an emphasis on function, and a brief survey of different theoretical accounts in neuroscience. The second part is the longest in the book, and contains a refresher course in mathematics and statistics leading up to time series analysis techniques. The third part contains applications of data analysis techniques to the range of data sources indicated above (also available as part of the Chronux data analysis platform from http://chronux.org), and the fourth part contains special topics.


Book Synopsis Observed Brain Dynamics by : Partha Mitra

Download or read book Observed Brain Dynamics written by Partha Mitra and published by Oxford University Press. This book was released on 2007-12-07 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: The biomedical sciences have recently undergone revolutionary change, due to the ability to digitize and store large data sets. In neuroscience, the data sources include measurements of neural activity measured using electrode arrays, EEG and MEG, brain imaging data from PET, fMRI, and optical imaging methods. Analysis, visualization, and management of these time series data sets is a growing field of research that has become increasingly important both for experimentalists and theorists interested in brain function. Written by investigators who have played an important role in developing the subject and in its pedagogical exposition, the current volume addresses the need for a textbook in this interdisciplinary area. The book is written for a broad spectrum of readers ranging from physical scientists, mathematicians, and statisticians wishing to educate themselves about neuroscience, to biologists who would like to learn time series analysis methods in particular and refresh their mathematical and statistical knowledge in general, through self-pedagogy. It may also be used as a supplement for a quantitative course in neurobiology or as a textbook for instruction on neural signal processing. The first part of the book contains a set of essays meant to provide conceptual background which are not technical and shall be generally accessible. Salient features include the adoption of an active perspective of the nervous system, an emphasis on function, and a brief survey of different theoretical accounts in neuroscience. The second part is the longest in the book, and contains a refresher course in mathematics and statistics leading up to time series analysis techniques. The third part contains applications of data analysis techniques to the range of data sources indicated above (also available as part of the Chronux data analysis platform from http://chronux.org), and the fourth part contains special topics.

Neuroimaging

Neuroimaging

Author:

Publisher: Elsevier

Published: 2005-11-11

Total Pages: 368

ISBN-13: 9780080478593

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Consisting of two separate volumes, Neuroimaging provides a state-of-the-art review of a broad range of neuroimaging techniques applied to both clinical and research settings. The breadth of the methods covered is matched by the depth of description of the theoretical background. Part A focuses on the cutting edge of research methodologies, providing a foundation for both established and evolving techniques. These include voxel-based morphometry using structural MRI, functional MRI, perfusion MRI, diffusion tensor imaging, near-infrared spectroscopy and the technique of combining EEG and fMRI studies. Two chapters are devoted to describing methods for studying brain responses and neural models, focusing on functional connectivity, effective connectivity, dynamic causal modeling, and large-scale neural models. The important role played by brain atlases in facilitating the study of normal and diseased brain populations is described in one chapter, and the concept of neuroimaging data bases as a future resource for scientific discovery is elucidated in another. The two parts of Neuroimaging complement each other providing in-depth information on a broad range of routine and cutting edge techniques that is not available in any other text. This book is superbly written and beautifully illustrated by contributors working at the top of their chosen specialty. * Serves as an up-to-date review of cutting-edge neuroimaging techniques * Exquisitely illustrated * Authoritatively written by leading researchers


Book Synopsis Neuroimaging by :

Download or read book Neuroimaging written by and published by Elsevier. This book was released on 2005-11-11 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consisting of two separate volumes, Neuroimaging provides a state-of-the-art review of a broad range of neuroimaging techniques applied to both clinical and research settings. The breadth of the methods covered is matched by the depth of description of the theoretical background. Part A focuses on the cutting edge of research methodologies, providing a foundation for both established and evolving techniques. These include voxel-based morphometry using structural MRI, functional MRI, perfusion MRI, diffusion tensor imaging, near-infrared spectroscopy and the technique of combining EEG and fMRI studies. Two chapters are devoted to describing methods for studying brain responses and neural models, focusing on functional connectivity, effective connectivity, dynamic causal modeling, and large-scale neural models. The important role played by brain atlases in facilitating the study of normal and diseased brain populations is described in one chapter, and the concept of neuroimaging data bases as a future resource for scientific discovery is elucidated in another. The two parts of Neuroimaging complement each other providing in-depth information on a broad range of routine and cutting edge techniques that is not available in any other text. This book is superbly written and beautifully illustrated by contributors working at the top of their chosen specialty. * Serves as an up-to-date review of cutting-edge neuroimaging techniques * Exquisitely illustrated * Authoritatively written by leading researchers

When I'm 64

When I'm 64

Author: National Research Council

Publisher: National Academies Press

Published: 2006-02-13

Total Pages: 280

ISBN-13: 0309164915

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By 2030 there will be about 70 million people in the United States who are older than 64. Approximately 26 percent of these will be racial and ethnic minorities. Overall, the older population will be more diverse and better educated than their earlier cohorts. The range of late-life outcomes is very dramatic with old age being a significantly different experience for financially secure and well-educated people than for poor and uneducated people. The early mission of behavioral science research focused on identifying problems of older adults, such as isolation, caregiving, and dementia. Today, the field of gerontology is more interdisciplinary. When I'm 64 examines how individual and social behavior play a role in understanding diverse outcomes in old age. It also explores the implications of an aging workforce on the economy. The book recommends that the National Institute on Aging focus its research support in social, personality, and life-span psychology in four areas: motivation and behavioral change; socioemotional influences on decision-making; the influence of social engagement on cognition; and the effects of stereotypes on self and others. When I'm 64 is a useful resource for policymakers, researchers and medical professionals.


Book Synopsis When I'm 64 by : National Research Council

Download or read book When I'm 64 written by National Research Council and published by National Academies Press. This book was released on 2006-02-13 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: By 2030 there will be about 70 million people in the United States who are older than 64. Approximately 26 percent of these will be racial and ethnic minorities. Overall, the older population will be more diverse and better educated than their earlier cohorts. The range of late-life outcomes is very dramatic with old age being a significantly different experience for financially secure and well-educated people than for poor and uneducated people. The early mission of behavioral science research focused on identifying problems of older adults, such as isolation, caregiving, and dementia. Today, the field of gerontology is more interdisciplinary. When I'm 64 examines how individual and social behavior play a role in understanding diverse outcomes in old age. It also explores the implications of an aging workforce on the economy. The book recommends that the National Institute on Aging focus its research support in social, personality, and life-span psychology in four areas: motivation and behavioral change; socioemotional influences on decision-making; the influence of social engagement on cognition; and the effects of stereotypes on self and others. When I'm 64 is a useful resource for policymakers, researchers and medical professionals.

Quantitative MRI of the Brain

Quantitative MRI of the Brain

Author: Paul Tofts

Publisher: John Wiley & Sons

Published: 2005-08-19

Total Pages: 650

ISBN-13: 0470869496

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2004 BMA Medical Book Competition Winner (Radiology category) “This is an exciting book, with a new approach to use of the MRI scanner. It bridges the gap between clinical research and general neuro-radiological practice. It is accessible to the clinical radiologist, and yet thorough in its treatment of the underlying physics and of the science of measurement. It is likely to become a classic.” British Medical Association This indispensable 'how to' manual of quantitative MR is essential for anyone who wants to use the gamut of modern quantitative methods to measure the effects of neurological disease, its progression, and its response to treatment. It contains both the methodology and clinical applications, reflecting the increasing interest in quantitative MR in studying disease and its progression. The editor is an MR scientist with an international reputation for high quality research The contributions are written jointly by MR physicists and MR clinicians, producing a practical book for both the research and medical communities A practical book for both the research and medical communities “Paul Tofts has succeeded brilliantly in capturing the essence of what needs to become the future of radiology in particular, and medicine in general – quantitative measurements of disease.” Robert I. Grossman, M.D. New York, University School of Medicine (from the Foreword)


Book Synopsis Quantitative MRI of the Brain by : Paul Tofts

Download or read book Quantitative MRI of the Brain written by Paul Tofts and published by John Wiley & Sons. This book was released on 2005-08-19 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2004 BMA Medical Book Competition Winner (Radiology category) “This is an exciting book, with a new approach to use of the MRI scanner. It bridges the gap between clinical research and general neuro-radiological practice. It is accessible to the clinical radiologist, and yet thorough in its treatment of the underlying physics and of the science of measurement. It is likely to become a classic.” British Medical Association This indispensable 'how to' manual of quantitative MR is essential for anyone who wants to use the gamut of modern quantitative methods to measure the effects of neurological disease, its progression, and its response to treatment. It contains both the methodology and clinical applications, reflecting the increasing interest in quantitative MR in studying disease and its progression. The editor is an MR scientist with an international reputation for high quality research The contributions are written jointly by MR physicists and MR clinicians, producing a practical book for both the research and medical communities A practical book for both the research and medical communities “Paul Tofts has succeeded brilliantly in capturing the essence of what needs to become the future of radiology in particular, and medicine in general – quantitative measurements of disease.” Robert I. Grossman, M.D. New York, University School of Medicine (from the Foreword)

Translational Research in Traumatic Brain Injury

Translational Research in Traumatic Brain Injury

Author: Daniel Laskowitz

Publisher: CRC Press

Published: 2016-04-21

Total Pages: 412

ISBN-13: 1466584920

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Traumatic brain injury (TBI) remains a significant source of death and permanent disability, contributing to nearly one-third of all injury related deaths in the United States and exacting a profound personal and economic toll. Despite the increased resources that have recently been brought to bear to improve our understanding of TBI, the development of new diagnostic and therapeutic approaches has been disappointingly slow. Translational Research in Traumatic Brain Injury attempts to integrate expertise from across specialties to address knowledge gaps in the field of TBI. Its chapters cover a wide scope of TBI research in five broad areas: Epidemiology Pathophysiology Diagnosis Current treatment strategies and sequelae Future therapies Specific topics discussed include the societal impact of TBI in both the civilian and military populations, neurobiology and molecular mechanisms of axonal and neuronal injury, biomarkers of traumatic brain injury and their relationship to pathology, neuroplasticity after TBI, neuroprotective and neurorestorative therapy, advanced neuroimaging of mild TBI, neurocognitive and psychiatric symptoms following mild TBI, sports-related TBI, epilepsy and PTSD following TBI, and more. The book integrates the perspectives of experts across disciplines to assist in the translation of new ideas to clinical practice and ultimately to improve the care of the brain injured patient.


Book Synopsis Translational Research in Traumatic Brain Injury by : Daniel Laskowitz

Download or read book Translational Research in Traumatic Brain Injury written by Daniel Laskowitz and published by CRC Press. This book was released on 2016-04-21 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traumatic brain injury (TBI) remains a significant source of death and permanent disability, contributing to nearly one-third of all injury related deaths in the United States and exacting a profound personal and economic toll. Despite the increased resources that have recently been brought to bear to improve our understanding of TBI, the development of new diagnostic and therapeutic approaches has been disappointingly slow. Translational Research in Traumatic Brain Injury attempts to integrate expertise from across specialties to address knowledge gaps in the field of TBI. Its chapters cover a wide scope of TBI research in five broad areas: Epidemiology Pathophysiology Diagnosis Current treatment strategies and sequelae Future therapies Specific topics discussed include the societal impact of TBI in both the civilian and military populations, neurobiology and molecular mechanisms of axonal and neuronal injury, biomarkers of traumatic brain injury and their relationship to pathology, neuroplasticity after TBI, neuroprotective and neurorestorative therapy, advanced neuroimaging of mild TBI, neurocognitive and psychiatric symptoms following mild TBI, sports-related TBI, epilepsy and PTSD following TBI, and more. The book integrates the perspectives of experts across disciplines to assist in the translation of new ideas to clinical practice and ultimately to improve the care of the brain injured patient.

Magnetic Resonance Brain Imaging

Magnetic Resonance Brain Imaging

Author: Jörg Polzehl

Publisher: Springer Nature

Published: 2019-09-25

Total Pages: 231

ISBN-13: 3030291847

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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.


Book Synopsis Magnetic Resonance Brain Imaging by : Jörg Polzehl

Download or read book Magnetic Resonance Brain Imaging written by Jörg Polzehl and published by Springer Nature. This book was released on 2019-09-25 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Pattern Analysis of the Human Connectome

Pattern Analysis of the Human Connectome

Author: Dewen Hu

Publisher: Springer Nature

Published: 2019-11-12

Total Pages: 258

ISBN-13: 9813295236

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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.


Book Synopsis Pattern Analysis of the Human Connectome by : Dewen Hu

Download or read book Pattern Analysis of the Human Connectome written by Dewen Hu and published by Springer Nature. This book was released on 2019-11-12 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Inter- and Intra-subject Variability in Brain Imaging and Decoding

Inter- and Intra-subject Variability in Brain Imaging and Decoding

Author: Tzyy-Ping Jung

Publisher: Frontiers Media SA

Published: 2022-01-19

Total Pages: 211

ISBN-13: 2889740870

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Book Synopsis Inter- and Intra-subject Variability in Brain Imaging and Decoding by : Tzyy-Ping Jung

Download or read book Inter- and Intra-subject Variability in Brain Imaging and Decoding written by Tzyy-Ping Jung and published by Frontiers Media SA. This book was released on 2022-01-19 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: