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Author: Michael E. Sughrue
Publisher: Elsevier
ISBN: 0443190909
Category : Computers
Languages : en
Pages : 308
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Book Description
Connectomic Medicine: A Guide to Brain AI in Treatment Decision Planning examines how to apply connectomics to clinical medicine, including discussions on techniques, applications, novel ideas, and in case examples that highlight the state-of-the-art. Written by pioneers, this volume serves as the foundation for all neuroscience clinicians/researchers venturing into the field of AI medicine, its realistic applications, and how to integrate AI connectomics into clinical practice. With widespread applications in neurology, neurosurgery and psychiatry, this book is appropriate for anyone interested in cerebral network anatomy, imaging techniques, and insights into this emerging field. - Empowers readers to utilize clinically applicable AI platforms to enhance current neurological and psychiatric practices - Provides understanding on how brain connectomics pertain to patients with brain-related ailments - Serves as a guide towards maximally using existing connectomics software - Details relevant clinical and radiological background
Author: Michael E. Sughrue
Publisher: Elsevier
ISBN: 0443190909
Category : Computers
Languages : en
Pages : 308
Get Book Here
Book Description
Connectomic Medicine: A Guide to Brain AI in Treatment Decision Planning examines how to apply connectomics to clinical medicine, including discussions on techniques, applications, novel ideas, and in case examples that highlight the state-of-the-art. Written by pioneers, this volume serves as the foundation for all neuroscience clinicians/researchers venturing into the field of AI medicine, its realistic applications, and how to integrate AI connectomics into clinical practice. With widespread applications in neurology, neurosurgery and psychiatry, this book is appropriate for anyone interested in cerebral network anatomy, imaging techniques, and insights into this emerging field. - Empowers readers to utilize clinically applicable AI platforms to enhance current neurological and psychiatric practices - Provides understanding on how brain connectomics pertain to patients with brain-related ailments - Serves as a guide towards maximally using existing connectomics software - Details relevant clinical and radiological background
Author: Andreas Horn
Publisher: Academic Press
ISBN: 0128218622
Category : Medical
Languages : en
Pages : 602
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Book Description
Connectomic Deep Brain Stimulation (DBS) covers this highly efficacious treatment option for movement disorders such as Parkinson's Disease, Essential Tremor and Dystonia. The book examines its impact on distributed brain networks that span across the human brain in parallel with modern-day neuroimaging concepts and the connectomics of the brain. It asks several questions, including which cortical areas should DBS electrodes be connected in order to generate the highest possible clinical improvement? Which connections should be avoided? Could these connectomic insights be used to better understand the mechanism of action of DBS? How can they be transferred to individual patients, and more. This book is suitable for neuroscientists, neurologists and functional surgeons studying DBS. It provides practical advice on processing strategies and theoretical background, highlighting and reviewing the current state-of-the-art in connectomic surgery. - Written to provide a "hands-on" approach for neuroscience graduate students, as well as medical personnel from the fields of neurology and neurosurgery - Includes preprocessing strategies (such as co-registration, normalization, lead localization, VTA estimation and fiber-tracking approaches) - Presents references (key articles, books and protocols) for additional detailed study - Provides data analysis boxes in each chapter to help with data interpretation
Author: Henry Kennedy
Publisher: Springer
ISBN: 3319277774
Category : Medical
Languages : en
Pages : 173
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Book Description
This book has brought together leading investigators who work in the new arena of brain connectomics. This includes ‘macro-connectome’ efforts to comprehensively chart long-distance pathways and functional networks; ‘micro-connectome’ efforts to identify every neuron, axon, dendrite, synapse, and glial process within restricted brain regions; and ‘meso-connectome’ efforts to systematically map both local and long-distance connections using anatomical tracers. This book highlights cutting-edge methods that can accelerate progress in elucidating static ‘hard-wired’ circuits of the brain as well as dynamic interactions that are vital for brain function. The power of connectomic approaches in characterizing abnormal circuits in the many brain disorders that afflict humankind is considered. Experts in computational neuroscience and network theory provide perspectives needed for synthesizing across different scales in space and time. Altogether, this book provides an integrated view of the challenges and opportunities in deciphering brain circuits in health and disease.
Author: Sebastian Seung
Publisher: HMH
ISBN: 0547508174
Category : Science
Languages : en
Pages : 389
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Book Description
“Accessible, witty . . . an important new researcher, philosopher and popularizer of brain science . . . on par with cosmology’s Brian Greene and the late Carl Sagan” (The Plain Dealer). One of the Wall Street Journal’s 10 Best Nonfiction Books of the Year and a Publishers Weekly “Top Ten in Science” Title Every person is unique, but science has struggled to pinpoint where, precisely, that uniqueness resides. Our genome may determine our eye color and even aspects of our character. But our friendships, failures, and passions also shape who we are. The question is: How? Sebastian Seung is at the forefront of a revolution in neuroscience. He believes that our identity lies not in our genes, but in the connections between our brain cells—our particular wiring. Seung and a dedicated group of researchers are leading the effort to map these connections, neuron by neuron, synapse by synapse. It’s a monumental effort, but if they succeed, they will uncover the basis of personality, identity, intelligence, memory, and perhaps disorders such as autism and schizophrenia. Connectome is a mind-bending adventure story offering a daring scientific and technological vision for understanding what makes us who we are, as individuals and as a species. “This is complicated stuff, and it is a testament to Dr. Seung’s remarkable clarity of exposition that the reader is swept along with his enthusiasm, as he moves from the basics of neuroscience out to the farthest regions of the hypothetical, sketching out a spectacularly illustrated giant map of the universe of man.” —TheNew York Times “An elegant primer on what’s known about how the brain is organized and how it grows, wires its neurons, perceives its environment, modifies or repairs itself, and stores information. Seung is a clear, lively writer who chooses vivid examples.” —TheWashington Post
Author: Carole H. Sudre
Publisher: Springer Nature
ISBN: 3030603652
Category : Computers
Languages : en
Pages : 233
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Book Description
This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.
Author: Islem Rekik
Publisher: Springer Nature
ISBN: 3030593541
Category : Computers
Languages : en
Pages : 212
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Book Description
This book constitutes the proceedings of the Third International Workshop on Predictive Intelligence in Medicine, PRIME 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually due to the COVID-19 pandemic. The 17 full and 2 short papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.
Author: Antonio Di Ieva
Publisher: Springer Nature
ISBN: 3031648927
Category :
Languages : en
Pages : 561
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Book Description
Author: Alexis Netis Simpkins
Publisher: Frontiers Media SA
ISBN: 2832539084
Category : Medical
Languages : en
Pages : 320
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Book Description
Author: Markus D. Schirmer
Publisher: Academic Press
ISBN: 0323852815
Category : Psychology
Languages : en
Pages : 480
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Book Description
Connectome Analysis: Characterization, Methods, and Analysis is a comprehensive companion for the analysis of brain networks, or connectomes. The book provides sources of constituent structural and functional MRI signals, network construction and practices for analysis, cutting-edge methods that address the latest challenges in neuroscience, and the fundamentals of network theory in the context of giving practical methods for building connectomes for analysis. Emphasis is placed on quality control of the individual analysis steps. Subsequent chapters discuss networks in neuroscience in clinical and general populations, including how findings are related to underlying neurophysiology and neuropsychology. This book is aimed at students and early-career researchers in brain connectomics and neuroimaging who have a background in computer science, mathematics and physics, as well as more broadly to neuroscientists and psychologists who want to start incorporating connectomics into their research. - Provides practical recommendations on how to construct, assess and analyze brain networks - Gives an understanding of all the technical methods for connectome analysis - Presents the basic network theoretical principles typically used in neuroscience - Covers the latest tools and data repositories that are freely available for the reader to carry out connectomic analyses
Author: Xi-Nian Zuo
Publisher: Frontiers Media SA
ISBN: 2889458210
Category :
Languages : en
Pages : 185
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Book Description
Functional connectomics enables researchers to monitor interactions among thousands of units within the whole brain simultaneously by using various vivo imaging technologies. For example, resting-state functional magnetic resonance imaging can image low-frequency fluctuations in the spontaneous brain activities, representing a popular tool for macro-scale functional connectomics to characterize individual differences in normal brain function, mind-brain associations, and the various disorders. Reliability and reproducibility represents the most fundamental and critical aspect for the human brain functional connectomics to both research and clinical practice. Unfortunately, lacking a data platform for researchers to rigorously explore the reliability and reproducibility of the functional connectome indices has been a bottleneck of further development of clinically oriented imaging markers in the field. Recent efforts on open neuroscience, such as Consortium for Reliability and Reproducibility, Human Connectome Project and OpenFMRI, provide the data for the field to refine and evaluate reliability and reproducibility of novel methods as well as those with widespread usage but without sufficient consideration of reliability. This Frontiers Research Topic aims at bringing together contributions from researchers in brain imaging, neuroscience, computer sciences, applied mathematics, psychology and related fields from an interdisciplinary perspective. By focusing on cutting-edge research across these fields, this topic will create new agenda on quantifying the reliability and reproducibility of the myriad connectomics-based measures and informing expectations regarding the potential of biomarker discovery.
