Connectome Analysis: Characterization, Methods, and Analysis - Markus D. Schirmer - Grāmatas - Elsevier Science & Technology - 9780323852807 - 2023. gada 28. jūnijs
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Connectome Analysis: Characterization, Methods, and Analysis

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Connectome Analysis: Characterization, Methods and Applications of Human Brain Connectivity is a comprehensive companion for the analysis of brain networks, or connectomes, giving the sources of constituent structural and functional MRI signals, network construction and practices for analyzis, through to cutting-edge methods that address the latest challenges in neuroscience.

The book explains the fundamentals of network theory in the context of giving the practical methods for building connectomes for analysis. Emphasis is placed on quality control of the individual analysis steps. It then provides the context of networks in neuroscience in clinical and general populations, with discussions on how findings are related to the underlying neurophysiology and neuropsychology. These applications dive deeper into the more advanced and expansive methods used to investigate brain organization through the human life-span and after disease. Lastly, it gives the latest tools and data repositories that are freely available for the reader to support their connectomic analyses.

Connectome Analysis: Characterization, Methods and Applications of Human Brain Connectivity is aimed for students and early-career researchers in brain connectomics and neuroimaging with a background in computer science, mathematics, physics, as well as more broadly to neuroscientists and psychologists who want to start incorporating connectomics into their research.


325 pages, Approx. 115 illustrations (45 in full color); Illustrations, unspecified

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2023. gada 28. jūnijs
ISBN13 9780323852807
Izdevēji Elsevier Science & Technology
Lapas 486
Izmēri 235 × 190 × 27 mm   ·   996 g
Valoda Angļu  
Redaktors Arichi, Tomoki (Centre for the Developing Brain, King’s College London, London, United Kingdom)
Redaktors Chung, Ai Wern (Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States)
Redaktors Schirmer, Markus D. (German Centre for Neurodegenerative Disease, Bonn, Germany)

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