Connectome analysis : characterization, methods, and analysis /

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 add...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Schirmer, Markus D. (Editor ), Arichi, Tomoki (Editor ), Chung, Ai Wern (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, an imprint of Elsevier, [2023]
Temas:
Brain mapping.
Acceso en línea:Texto completo

MARC

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245 0 0 |a Connectome analysis :  |b characterization, methods, and analysis /  |c edited by Markus D. Schirmer, Tomoki Arichi, Ai Wern Chung. 
264 1 |a London ;  |a San Diego, CA :  |b Academic Press, an imprint of Elsevier,  |c [2023] 
300 |a 1 online resource (486 pages) :  |b illustrations (black and white, and colour). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a 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. 
505 0 |a 1. Introduction<br>2. Biology -- What can connectomes tell us about the brain?<br>3. Structural Networks<br>4. Functional Networks<br>5. Brain Regions for Network Nodes<br>6. Network Theoretical Measures<br>7. Null Models<br>8. Modularity / Rich Club / Topology<br>9. Mapping networks (communities) to biology<br>10. Lesions<br>11. Networks in a. Development b. ageing c. disease (psychiatry/psychology) d. others (Traumatic brain injury)<br>12. Machine Learning in connectomics<br>13. Multimodal MRI and Dynamic network models<br>14. Genetics<br>15. List of Resources 
588 |a Description based on online resource; title from digital title page (viewed on September 28, 2023). 
650 0 |a Brain mapping. 
650 7 |a Brain mapping.  |2 fast  |0 (OCoLC)fst00837764 
700 1 |a Schirmer, Markus D.,  |e editor. 
700 1 |a Arichi, Tomoki,  |e editor. 
700 1 |a Chung, Ai Wern,  |e editor. 
776 0 8 |i Print version:  |t Connectome analysis.  |d Amsterdam : Academic Press, 2023  |z 9780323852807  |w (OCoLC)1372449324 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323852807  |z Texto completo 

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