Reliability and Reproducibility in Functional Connectomics
Reliability and Reproducibility in Functional Connectomics

Author: Xi-Nian Zuo

Publisher: Frontiers Media SA

Published: 2019-05-15

Total Pages: 185

ISBN-13: 2889458210

DOWNLOAD EBOOK

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.

Micro-, Meso- and Macro-Connectomics of the Brain
Micro-, Meso- and Macro-Connectomics of the Brain

Author: Henry Kennedy

Publisher: Springer

Published: 2016-03-10

Total Pages: 173

ISBN-13: 3319277774

DOWNLOAD EBOOK

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.

Connectomics
Connectomics

Author: Brent C. Munsell

Publisher: Academic Press

Published: 2018-09-08

Total Pages: 236

ISBN-13: 0128138394

DOWNLOAD EBOOK

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

Psychoradiology, An Issue of Neuroimaging Clinics of North America, Ebook
Psychoradiology, An Issue of Neuroimaging Clinics of North America, Ebook

Author: Qiyong Gong

Publisher: Elsevier Health Sciences

Published: 2019-12-03

Total Pages: 145

ISBN-13: 0323708870

DOWNLOAD EBOOK

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!

Temporal Structure of Neural Processes Coupling Sensory, Motor and Cognitive Functions of the Brain
Temporal Structure of Neural Processes Coupling Sensory, Motor and Cognitive Functions of the Brain

Author: Daya Shankar Gupta

Publisher: Frontiers Media SA

Published: 2020-12-03

Total Pages: 177

ISBN-13: 2889661504

DOWNLOAD EBOOK

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.

Collaborative Efforts for Understanding the Human Brain
Collaborative Efforts for Understanding the Human Brain

Author: Sook-Lei Liew

Publisher: Frontiers Media SA

Published: 2019-10-10

Total Pages: 192

ISBN-13: 2889630293

DOWNLOAD EBOOK

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.

Connectomics in NeuroImaging
Connectomics in NeuroImaging

Author: Guorong Wu

Publisher: Springer

Published: 2018-09-14

Total Pages: 156

ISBN-13: 3030007553

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the Second International Workshop on Connectomics in NeuroImaging, CNI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 15 full papers presented were carefully reviewed and selected from 20 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and group comparison studies as well as in various neuroimaging applications.

Computational Diffusion MRI
Computational Diffusion MRI

Author: Elisenda Bonet-Carne

Publisher: Springer

Published: 2019-05-17

Total Pages: 377

ISBN-13: 303005831X

DOWNLOAD EBOOK

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.

Brain Network Dysfunction in Neuropsychiatric Illness
Brain Network Dysfunction in Neuropsychiatric Illness

Author: Vaibhav A. Diwadkar

Publisher: Springer Nature

Published: 2021-05-11

Total Pages: 492

ISBN-13: 3030597970

DOWNLOAD EBOOK

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.