Pattern Analysis of the Human Connectome

Authors: Hu, Dewen, Zeng, Ling-Li

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  • Presenting recent advances in pattern analysis of the human connectome
  • Focusing mainly on advances made over the past decade in the field of manifold learning, sparse coding, multi-task learning, and deep learning of the human connectome and applications
  • With ample figures
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  • ISBN 978-981-329-523-0
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Hardcover $199.99
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Softcover $139.99
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  • ISBN 978-981-329-525-4
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About this book

This book presents recent advances in pattern analysis of the human connectome. The human connectome, measured by magnetic resonance imaging at the macroscale, provides a comprehensive description of how brain regions are connected. Based on machine learning methods, multiviarate pattern analysis can directly decode psychological or cognitive states from brain connectivity patterns. Although there are a number of works with chapters on conventional human connectome encoding (brain-mapping), there are few resources on human connectome decoding (brain-reading). Focusing mainly on advances made over the past decade in the field of manifold learning, sparse coding, multi-task learning, and deep learning of the human connectome and applications, this book helps students and researchers gain an overall picture of pattern analysis of the human connectome. It also offers valuable insights for clinicians involved in the clinical diagnosis and treatment evaluation of neuropsychiatric disorders.

About the authors

Dr. Dewen Hu is a Professor at the College of Intelligence Science and Technology, National University of Defense Technology. He is a recipient of the National Science Fund for Distinguished Young Scholars and Changjiang Scholar Program of the Ministry of Education in China. His research interests include pattern recognition and cognitive neuroscience, and he has authored over 150 papers in international, peer-reviewed journals, such as Brain, PNAS, Science Advances, Cerebral Cortex, NeuroImage, Human Brain Mapping, IEEE TPAMI, IEEE TNN, IEEE and TMI. He is also an acting editor of Neural Networks, and associate editor of IEEE Transactions on SMC: Systems.

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Introduction

    Pages 1-16

    Hu, Dewen (et al.)

  • Multivariate Pattern Analysis of Whole-Brain Functional Connectivity in Major Depression

    Pages 17-33

    Hu, Dewen (et al.)

  • Discriminative Analysis of Nonlinear Functional Connectivity in Schizophrenia

    Pages 35-54

    Hu, Dewen (et al.)

  • Predicting Individual Brain Maturity Using Window-Based Dynamic Functional Connectivity

    Pages 55-81

    Hu, Dewen (et al.)

  • Locally Linear Embedding of Functional Connectivity for Classification

    Pages 83-102

    Hu, Dewen (et al.)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-981-329-523-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-981-329-522-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $139.99
price for USA in USD
  • ISBN 978-981-329-525-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Pattern Analysis of the Human Connectome
Authors
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-329-523-0
DOI
10.1007/978-981-32-9523-0
Hardcover ISBN
978-981-329-522-3
Softcover ISBN
978-981-329-525-4
Edition Number
1
Number of Pages
VIII, 258
Number of Illustrations
5 b/w illustrations, 81 illustrations in colour
Topics