| Description |
1 online resource |
| Contents |
1. Introduction; 2. Image Processing and the Connectome; 3. Connectome analysis using graph techniques; 4. Machine learning techniques; 5. Machine learning software toolsets; 6. Connectome software toolsets; 7. Autism Spectrum Disorders: Functional connectomics and social-communication networks in Autism; 8. Stroke and epilepsy: Post-stroke aphasia severity and the disorganization of structural networks; 9. Cognition: Insights into Cognition from Functional Connectivity; 10. Emotion: Dynamic networks in the emotional brain; 11. Fingerprinting: Connectome Based Predictive Modeling; 12. Neurodevelopment disorders: A network perspective on neurodevelopmental disorders; 13. Addiction: Informing drug abuse interventions with brain networks; 14. Parkinson's Disease: Brain Networks in Parkinson's Disease; 15. Mental Illness: Aberrant whole-brain networks in schizophrenia; 16. Traumatic Brain Injury: Connectome-scale assessment of connectivity in mild traumatic brain injury at the acute stage; 17. Genetic Analysis: Genetic analysis of structural brain connectivity; 18. Alzheimer's disease: Hyper-graph inference framework for computer assisted diagnosis of Alzheimer's disease; 19. Towards a Science of Episodic Memory Network Function |
| Summary |
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 connectomicsHow connectomics is applied to a wide range of neuro-applicationsWhat 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-applicationsCovers most of the hot topics in neuroscience and clinical areasAppeals 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 |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed September 19, 2018) |
| Subject |
Computational neuroscience.
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Neural networks (Neurobiology)
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MEDICAL -- Physiology.
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SCIENCE -- Life Sciences -- Human Anatomy & Physiology.
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Computational neuroscience
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Neural networks (Neurobiology)
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| Form |
Electronic book
|
| Author |
Munsell, Brent C., editor
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Wu, Guorong, editor
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Bonilha, Leonardo, editor
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Laurienti, Paul, editor
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| ISBN |
9780128138397 |
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0128138394 |
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