Connectome Analysis 1st Edition

Connectome Analysis, 1st Edition by Markus D. Schirmer, Tomoki Arichi, and Ai Wern Chung offers a clear, contemporary guide to mapping and interpreting brain networks for researchers, clinicians, and advanced students. This authoritative volume brings together practical methodology and conceptual insight on structural and functional connectomics—ideal for anyone working with diffusion MRI, resting-state fMRI, or network neuroscience.

Start reading and you’ll find concise explanations of preprocessing pipelines, network construction, graph-theoretical measures, statistical considerations, and visualization strategies—presented with real-world examples and reproducible workflows. The authors translate complex mathematics into actionable steps, making topics like nodal metrics, community detection, and network-based statistics accessible without sacrificing rigor.

Designed for a global audience, this edition bridges basic research and clinical application: learn how connectome methods inform developmental neuroscience, neuropsychiatric research, and translational studies across Europe, North America, Asia, and beyond. Emphasis on best practices ensures your analyses are robust, reproducible, and compatible with current neuroimaging standards.

Whether you’re setting up a new lab pipeline, preparing a grant proposal, or deepening your theoretical grounding, this book equips you with the tools to interpret brain connectivity data confidently. Clear diagrams, practical tips, and stepwise workflows make it both a reference and a hands-on manual.

Add Connectome Analysis, 1st Edition to your collection to advance your understanding of brain network science. Order now to bring methodological clarity and practical expertise to your connectomics research.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.