Fundamentals of Brain Network Analysis

Fornito, Alex|Zalesky, Andrew|Bullmore, Edward

ISBN 10: 0124079083 / ISBN 13: 9780124079083

Editore: Academic Press, 2016

Riguardo questo articolo

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, mot.

Codice articolo 102322745

Dati bibliografici

• Titolo: Fundamentals of Brain Network Analysis
• Editore: Academic Press
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 0124079083
• ISBN 13: 9780124079083
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

The field of imaging connectomics is technically challenging and highly multi-disciplinary, creating the need for a "how to" connectomics reference which is suitable for both researchers and students aiming to gain familiarity with the field.Fundamentals of Human Imaging Connectomics offers just that: an accessible, practical and comprehensive introduction to the fundamental principles and practices of imaging connectomics. The volume offers readers consistent voice, uniform structure, and expert insights. All chapters contain non-technical, conceptual and didactic discussion, focusing on core principles and making use of intuitive diagrams. Key mathematical formulae are broken down and explained step-by-step in a manner that assumes minimal prior mathematical knowledge. Explanations are supported by graphical illustrations of key concepts, and each chapter ends with a review of key points and recommendations for best practice.

• The only volume to offer a step-by-step introduction to connectomics suitable for both researchers and students
• Provides a general overview, discussion of various issues involved in using neuroimaging to build a connectomic map, the main measures used to analyze connectomic data, an intro to advanced topics in the field, and discussion of as yet unresolved issues and future directions
• Helps readers determine how they can best use fMRI/DTI data to make a brain network, how they can analyze that network using graph theory, and how they can compare/interpret their findings across different groups
• Assumes no prior knowledge beyond basic training in human MRI, and adopts a consistent format across chapters to facilitate learning and linking of different concepts

Informazioni sugli autori

Alex Fornito completed a PhD in the Departments of Psychology and Psychiatry at the University of Melbourne, Australia, followed by Post-Doctoral training at the University of Cambridge, UK. He is an associate professor, Australian Research Council Future Fellow, and Deputy Director of the Brain and Mental Health Laboratory in the Monash Institute of Cognitive and Clinical Neurosciences, Australia. Alex’s research uses cognitive neuroscience, network science, and graph theory to understand brain network organization in health and disease. He has published over 100 scientific articles, much of which are focused on the development and application of new methods to understand how brain networks dynamically adapt to changing task demands, how they are disrupted by disease, and how they are shaped by genetic influences.

Andrew Zalesky completed his PhD in the Department of Electrical and Electronic Engineering at the University of Melbourne, Australia. He works with neuroscientists, utilizing his engineering expertise in networks to understand human brain organization in health and disease. He has developed widely used methods for modeling and performing statistical inference on brain imaging data. His methods are utilized to investigate brain connectivity abnormalities in disease. He identified some of the first evidence of connectome pathology in schizophrenia. Andrew currently holds a fellowship from the National Health and Medical Research Council of Australia. He is based at the University of Melbourne and holds a joint appointment between the Melbourne Neuropsychiatry Centre and the Melbourne School of Engineering. He leads the Systems Neuropsychiatry Group.

Ed Bullmore trained in medicine at the University of Oxford and St Bartholomew’s Hospital, London, and then in psychiatry at the Bethlem Royal and Maudsley Hospital, London. In 1993, he was a Wellcome Trust (Advanced) Research Fellow at the Institute of Psychiatry, King’s College London, where he completed a PhD in the statistical analysis of MRI data, before moving to Cambridge as Professor of Psychiatry in 1999. Currently, he is co-Chair of Cambridge Neuroscience, Scientific Director of the Wolfson Brain Imaging Centre, and Head of the Department of Psychiatry in the University of Cambridge. He is also an honorary Consultant Psychiatrist, and Director of R&D in Cambridgeshire and Peterborough Foundation NHS Trust. Since 2005, he has worked half-time for GlaxoSmithKline, currently focusing on immuno-psychiatry. He has been elected as a Fellow of the Royal College of Physicians, the Royal College of Psychiatrists, and the Academy of Medical Sciences. He has published about 500 scientific papers, and his work has been highly cited. He has played an internationally-leading role in understanding brain connectivity and networks by graph theoretical analysis of neuroimaging and other neuroscientific datasets.