Fundamentals of Brain Network Analysis

Book Fundamentals of Brain Network Analysis Cover

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  • Publisher : Academic Press
  • Release : 04 March 2016
  • ISBN : 9780124081185
  • Page : 494 pages
  • Rating : 4.5/5 from 103 voters

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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, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

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Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis
  • Author : Alex Fornito,Andrew Zalesky,Edward Bullmore
  • Publisher : Academic Press
  • Release Date : 2016-03-04
  • ISBN : 9780124081185
GET THIS BOOKFundamentals of Brain Network Analysis

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, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse

Brain Network Analysis

Brain Network Analysis
  • Author : Moo K. Chung
  • Publisher : Cambridge University Press
  • Release Date : 2019-06-27
  • ISBN : 9781107184862
GET THIS BOOKBrain Network Analysis

This coherent mathematical and statistical approach aimed at graduate students incorporates regression and topology as well as graph theory.

Discovering the Human Connectome

Discovering the Human Connectome
  • Author : Olaf Sporns
  • Publisher : MIT Press
  • Release Date : 2012-09-07
  • ISBN : 9780262304801
GET THIS BOOKDiscovering the Human Connectome

A pioneer in the field outlines new empirical and computational approaches to mapping the neural connections of the human brain. Crucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. In this book, Olaf Sporns surveys current efforts to chart these connections—to map the human connectome. He argues that the nascent field of connectomics has already begun to influence the

An Introduction to Resting State FMRI Functional Connectivity

An Introduction to Resting State FMRI Functional Connectivity
  • Author : Janine Bijsterbosch,Stephen M. Smith,Christian Beckmann
  • Publisher : Oxford University Press
  • Release Date : 2017
  • ISBN : 9780198808220
GET THIS BOOKAn Introduction to Resting State FMRI Functional Connectivity

For those new to the field of resting state fMRI, the large variety of approaches to functional connectivity analysis is highly confusing. This primer provides an introduction to the concepts and analysis decisions that need to be made at every step of the processing pipeline, starting from data acquisition through to interpretation of findings.

Player Development

Player Development
  • Author : John Cone,Gareth Smith
  • Publisher : Taylor & Francis
  • Release Date : 2022-08-01
  • ISBN : 9781000622058
GET THIS BOOKPlayer Development

Player Development: The Holistic Method provides the first holistic, evidence-based performance development method in sport. Focusing on the world’s largest sport, soccer, this book weaves together the interconnected layers driving player performance development to define a novel training method. In performance sport, narratives defining success or failure are steeped with stories of chance. The reality is that player performance and athlete development leading to career success is the byproduct of optimizing interconnected experiences toward maximizing the likelihood of individual

Networks of the Brain

Networks of the Brain
  • Author : Olaf Sporns
  • Publisher : MIT Press
  • Release Date : 2016-02-12
  • ISBN : 9780262528986
GET THIS BOOKNetworks of the Brain

An integrative overview of network approaches to neuroscience explores the origins of brain complexity and the link between brain structure and function. Over the last decade, the study of complex networks has expanded across diverse scientific fields. Increasingly, science is concerned with the structure, behavior, and evolution of complex systems ranging from cells to ecosystems. In Networks of the Brain, Olaf Sporns describes how the integrative nature of brain function can be illuminated from a complex network perspective. Highlighting the

Brain Network Dysfunction in Neuropsychiatric Illness

Brain Network Dysfunction in Neuropsychiatric Illness
  • Author : Vaibhav A. Diwadkar,Simon B. Eickhoff
  • Publisher : Springer Nature
  • Release Date : 2021-05-11
  • ISBN : 9783030597979
GET THIS BOOKBrain Network Dysfunction in Neuropsychiatric Illness

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

Mind Mapping and Artificial Intelligence

Mind Mapping and Artificial Intelligence
  • Author : Jose Maria Guerrero
  • Publisher : Academic Press
  • Release Date : 2022-10-22
  • ISBN : 9780128202425
GET THIS BOOKMind Mapping and Artificial Intelligence

In the near future, we will see an increase in the development and use of all sorts of AI applications. Some of the more promising areas will be Finance, Healthcare, IoT, Manufacturing, Journalism, and Cybersecurity. Many of these applications generate a great amount of complex information. Natural Language Understanding is one of the most clear examples. Traditional ways of visualizing complex information, namely linear text, web pages and hyperlink-based applications, have serious productivity problems. Users need a lot of time

Cognition in Multiple Sclerosis

Cognition in Multiple Sclerosis
  • Author : Antonio Carotenuto,Rosa Cortese,Massimiliano Di Filippo,Roberta Lanzillo
  • Publisher : Frontiers Media SA
  • Release Date : 2021-10-20
  • ISBN : 9782889715046
GET THIS BOOKCognition in Multiple Sclerosis

We would like to acknowledge that Dr. Monica Margoni, University of Padua, Italy, has acted as a coordinator and has contributed to the preparation of the proposal for this Research Topic.

Machine Vision and Augmented Intelligence—Theory and Applications

Machine Vision and Augmented Intelligence—Theory and Applications
  • Author : Manish Kumar Bajpai,Koushlendra Kumar Singh,George Giakos
  • Publisher : Springer Nature
  • Release Date : 2021-11-10
  • ISBN : 9789811650789
GET THIS BOOKMachine Vision and Augmented Intelligence—Theory and Applications

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their

The Bipolar Brain

The Bipolar Brain
  • Author : Stephen Strakowski
  • Publisher : Oxford University Press
  • Release Date : 2022
  • ISBN : 9780197574522
GET THIS BOOKThe Bipolar Brain

"Although efforts to examine the structure and function of the human brain stretch back centuries (Paluzzi et al, 2007), techniques allowing the study of living humans are a relatively recent development. Early investigators confined themselves to largely studying external features, with 18th century methodologies such as phrenology purporting to link extracranial proxies for brain size and structure to specific personality traits (Livianos-Aldana et al, 2007). However, these techniques did not prove useful for either clinical or research purposes. Two-dimensional x-ray imaging, while

Statistical Analysis of Network Data with R

Statistical Analysis of Network Data with R
  • Author : Eric D. Kolaczyk,Gábor Csárdi
  • Publisher : Springer Nature
  • Release Date : 2020-06-02
  • ISBN : 9783030441296
GET THIS BOOKStatistical Analysis of Network Data with R

The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R.

The Neuroimaging of Brain Diseases

The Neuroimaging of Brain Diseases
  • Author : Christophe Habas
  • Publisher : Springer
  • Release Date : 2018-06-15
  • ISBN : 9783319789262
GET THIS BOOKThe Neuroimaging of Brain Diseases

Notable experts in the field of neuroimaging provide comprehensive overviews of advances in functional and structural aspects of both common and uncommon brain disorders. Functional imaging is evolving quickly but researchers and clinicians do not always have a strong understanding of the fundamental basis of the imaging techniques that they use. By focusing on both structure and function this book will provide a strong foundation for emerging developments in the field.

Integrative Brain Function Down Under

Integrative Brain Function Down Under
  • Author : Greg Stuart,Pankaj Sah,Gary F. Egan
  • Publisher : Frontiers Media SA
  • Release Date : 2020-10-12
  • ISBN : 9782889660698
GET THIS BOOKIntegrative Brain Function Down Under

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

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

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  • Author : Anne L. Martel,Purang Abolmaesumi,Danail Stoyanov,Diana Mateus,Maria A. Zuluaga,S. Kevin Zhou,Daniel Racoceanu,Leo Joskowicz
  • Publisher : Springer Nature
  • Release Date : 2020-10-02
  • ISBN : 9783030597283
GET THIS BOOKMedical Image Computing and Computer Assisted Intervention – MICCAI 2020

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction;