Connectomics

Applications to Neuroimaging

Brent C. Munsell, Guorong Wu, Leonardo Bonilha, Paul Laurienti

• Publisher: Academic Press
• Year: 2018
• Print ISBN: 9780128138380
• eBook ISBN: 9780128138397
• Topic: Ciencia de la computación
• Subtopic: Visión y reconocimiento de patrones computacionales

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

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Contributors
• Chapter 1: Autism spectrum disorders: Unbiased functional connectomics provide new insights into a multifaceted neurodevelopmental disorder
• Chapter 2: Insights into cognition from network science analyses of human brain functional connectivity: Working memory as a test case
• Chapter 3: Overlapping and dynamic networks of the emotional brain
• Chapter 4: The uniqueness of the individual functional connectome
• Chapter 5: Dysfunctional brain network organization in neurodevelopmental disorders
• Chapter 6: Addiction: Informing drug abuse interventions with brain networks
• Chapter 7: Connectivity and dysconnectivity: A brief history of functional connectivity research in schizophrenia and future directions
• Chapter 8: Genetics of brain networks and connectivity
• Chapter 9: Characterizing dynamic functional connectivity using data-driven approaches and its application in the diagnosis of alzheimer’s disease
• Chapter 10: Toward a more integrative cognitive neuroscience of episodic memory
• Index