Connectome Analysis : Characterization, Methods, and Analysis
Language: English
Published by Elsevier Science & Technology Jun 2023, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Add to basketItem description from seller
Neuware - 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.…
Seller Inventory # 9780323852807
- Title
- Connectome Analysis : Characterization, Methods, and Analysis
- Author
- Ai Wern Chung
- Publisher
- Elsevier Science & Technology Jun 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0323852807
- ISBN 13
- 9780323852807
- Item weight
- 958 grams
- Dimensions
- 230x192x27 mm
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
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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