Connectome Analysis: Characterization, Methods, and Analysis - Softcover

Softcover

ISBN 10: 0323852807 ISBN 13: 9780323852807

Publisher: Academic Press, 2023

Synopsis

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

About this title

About the Authors

Dr. Markus D. Schirmer, PhD, is an instructor of investigation at Harvard Medical School (HMS) at the J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital (MGH), Boston. After his diploma in theoretical physics at Aachen University, he completed his PhD in biomedical engineering at King’s College London, where he focused on methodological connectome research in premature babies. In 2016 he started his postdoctoral fellowship at MGH/HMS, using connectomics and methodological approaches to study patients with stroke through clinical imaging data available in the emergency department. He continued his work as a Marie Sklodowska-Curie Global Fellow in 2017 at the German Center for Neurodegenerative Diseases in Bonn, Germany, MGH/HMS, and Massachusetts Institute of Technology, and while leading his own research group in the field of computational neuroradiology at the University Hospital Bonn (2020?22). Dr. Schirmer applies his methodological background combined with a focus on medical image analysis across the life span to improve our understanding of neurological diseases and the health outcomes, with a focus on bridging the gap between computational and clinical research.

Dr. Tomoki Arichi, MBChB, FRCPCH, FHEA, PhD, is a reader in perinatal imaging at the Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences at King’s College London; a group leader in the MRC Centre for Neurodevelopmental Disorders; and a visiting researcher in the Department of Bioengineering, Imperial College London. His research focuses on the development and application of advanced MRI techniques for studying the developing human brain. He is also a practicing clinician at the Evelina London Children’s Hospital, where his work as a consultant in pediatric Neurodisability focuses on the early identification and resulting management of the disabilities associated with perinatal brain injury and neurodevelopmental disorders. He graduated in medicine and surgery from the University of Birmingham in 2001 and obtained his PhD in imaging sciences as an MRC Chain Florey fellow at Imperial College London in 2012.

Dr. Ai Wern Chung, PhD, is an instructor of pediatrics at Harvard Medical School and an associate scientific researcher at the Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital. Her PhD in medical physics and neuroimaging was awarded from the Great Ormond Street Institute of Child Health, University College London, in 2014. She has held several neuroimaging research posts in hospital-affiliated institutes. These include the Stroke and Dementia Neuroimaging Unit at St. George’s University of London, and the Biostatistics Group at the Centre for the Developing Brain, King’s College London. Dr. Chung is a recipient of a joint American Heart Association and Children’s Heart Foundation Fellowship, and her research interest is in connectome markers of altered brain organization in relation to injury or pathology such as concussion, or congenital heart disease, towards improving well-being and outcomes throughout the life span.

From the Back Cover

Connectome Analysis: Characterization, Methods and Applications of Human Brain Connectivity is a comprehensive companion for the analysis of brain networks, or connectomes, giving the sources of constituent structural and functional MRI signals, network construction and practices for analyzis, through to cutting-edge methods that address the latest challenges in neuroscience.

The book explains the fundamentals of network theory in the context of giving the practical methods for building connectomes for analysis. Emphasis is placed on quality control of the individual analysis steps. It then provides the context of networks in neuroscience in clinical and general populations, with discussions on how findings are related to the underlying neurophysiology and neuropsychology. These applications dive deeper into the more advanced and expansive methods used to investigate brain organization through the human life-span and after disease. Lastly, it gives the latest tools and data repositories that are freely available for the reader to support their connectomic analyses.

Connectome Analysis: Characterization, Methods and Applications of Human Brain Connectivity is aimed for students and early-career researchers in brain connectomics and neuroimaging with a background in computer science, mathematics, physics, as well as more broadly to neuroscientists and psychologists who want to start incorporating connectomics into their research.

With this book the reader will learn:

• How to construct, assess and analyse brain networks
• To execute quality control steps as part of the analyses, and be guided on addressing the practical challenges involved
• How clinical research areas have adopted connectomic analysis, and understand the potential of an application
• The breadth and variety of advanced connectomic research, and identify the future direction of the field
• To situate their analysis with relevance to neuroscience by having an overview of the connectome in relation to neurophysiology and neuropsychology

Edition details

• Publisher: Academic Press
• Publication date: 2023
• ISBN 10: 0323852807
• ISBN 13: 9780323852807
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 486
• Editor: Schirmer Markus D., Arichi Tomoki, Chung Ai Wern