Reliability and Reproducibility in Functional Connectomics PDF Download
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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.
Author: Xi-Nian Zuo
Publisher: Frontiers Media SA
ISBN: 2889458210
Category :
Languages : en
Pages : 185
Get Book Here
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.
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: Brent C. Munsell
Publisher: Academic Press
ISBN: 0128138394
Category : Computers
Languages : en
Pages : 236
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Book Description
Connectomics: Applications to Neuroimaging is unique in presenting the frontier of neuro-applications using brain connectomics techniques. The book describes state-of-the-art research that applies brain connectivity analysis techniques to a broad range of neurological and psychiatric disorders (Alzheimer's, epilepsy, stroke, autism, Parkinson's, drug or alcohol addiction, depression, bipolar, and schizophrenia), brain fingerprint applications, speech-language assessments, and cognitive assessment. With this book the reader will learn: - Basic mathematical principles underlying connectomics - How connectomics is applied to a wide range of neuro-applications - What is the future direction of connectomics techniques. This book is an ideal reference for researchers and graduate students in computer science, data science, computational neuroscience, computational physics, or mathematics who need to understand how computational models derived from brain connectivity data are being used in clinical applications, as well as neuroscientists and medical researchers wanting an overview of the technical methods. Features: - Combines connectomics methods with relevant and interesting neuro-applications - Covers most of the hot topics in neuroscience and clinical areas - Appeals to researchers in a wide range of disciplines: computer science, engineering, data science, mathematics, computational physics, computational neuroscience, as well as neuroscience, and medical researchers interested in the technical methods of connectomics - Combines connectomics methods with relevant and interesting neuro-applications - Presents information that will appeal to researchers in a wide range of disciplines, including computer science, engineering, data science, mathematics, computational physics, computational neuroscience, and more - Includes a mathematics primer that formulates connectomics from an applied point-of-view, thus avoiding difficult to understand theoretical perspective - Lists publicly available neuro-imaging datasets that can be used to construct structural and functional connectomes
Author: Qiyong Gong
Publisher: Elsevier Health Sciences
ISBN: 0323708870
Category : Medical
Languages : en
Pages : 145
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Book Description
This issue of Neuroimaging Clinics of North America focuses on Psychoradiology, and is edited by Dr. Qiyong Gong. Articles will include: Clinical Strategies and Technical Challenges in Psychoradiology; Resting State Functional MRI for Psychiatry; Magnetic Resonance Spectroscopy for Psychiatry; Psychoradiology of Major Depression; Psychoradiological Biomarkers for Psychopharmaceutical Effects; Implementing Imaging into Clinical Routine Screening for Psychosis; Imaging of Autism; Individual-specific Analysis for Psychoradiology; Interventional Psychoradiology: Imaging Guided Therapeutic Intervention of Neuropsychiatric Disorders; Imaging-based Subtyping for Psychiatric Syndromes; Imaging of Post-Traumatic Stress Disorder; Imaging of Schizophrenia; and more!
Author: Daya Shankar Gupta
Publisher: Frontiers Media SA
ISBN: 2889661504
Category : Science
Languages : en
Pages : 177
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Book Description
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: Sook-Lei Liew
Publisher: Frontiers Media SA
ISBN: 2889630293
Category :
Languages : en
Pages : 192
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Book Description
The human brain is incredibly complex, and the more we learn about it, the more we realize how much we need a truly interdisciplinary team to make sense of its intricacies. This eBook presents the latest efforts in collaborative team science from around the world, all aimed at understanding the human brain.
Author: Jue Zhang
Publisher: Frontiers Media SA
ISBN: 2889637506
Category :
Languages : en
Pages : 177
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Book Description
Author: Elisenda Bonet-Carne
Publisher: Springer
ISBN: 303005831X
Category : Mathematics
Languages : en
Pages : 377
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Book Description
This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018. It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging. The book shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of full-colour visualisations, and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics alike.
Author: Vaibhav A. Diwadkar
Publisher: Springer Nature
ISBN: 3030597970
Category : Medical
Languages : en
Pages : 492
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Book Description
Brain network function and dysfunction is the dominant model for understanding how the brain gives rise to normal and abnormal behavior. Moreover, neuropsychiatric illnesses continue to resist attempts to reveal an understanding of their bases. Thus, this timely volume provides a synthesis of the uses of multiple analytic methods as they are applied to neuroimaging data, to seek understanding of the neurobiological bases of psychiatric illnesses, understanding that can subsequently aid in their management and treatment. A principle focus is on the analyses and application of methods to functional magnetic resonance imaging (fMRI) data. fMRI remains the most widely used neuroimaging technique for estimating brain network function, and several of the methods covered can estimate brain network dysfunction in resting and task-active states. Additional chapters provide details on how these methods are (and can be) applied in the understanding of several neuropsychiatric disorders, including schizophrenia, mood disorders, autism, borderline personality disorder, and attention deficit hyperactivity disorder (ADHD). A final complement of chapters provides a collective overview of how this framework continues to provoke theoretical advances in our conception of the brain in psychiatry. This unique volume is designed to be a comprehensive resource for imaging researchers interested in psychiatry, and for psychiatrists interested in advanced imaging applications.
Author: Hernando Ombao
Publisher: CRC Press
ISBN: 1315356201
Category : Mathematics
Languages : en
Pages : 907
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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.
