Characterization of Neural Activity Using Complex Network Theory

An Application to the Study of Schizophrenia

  • JavierĀ Gomez-Pilar

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Javier Gomez-Pilar
    Pages 1-21
  3. Javier Gomez-Pilar
    Pages 23-25
  4. Javier Gomez-Pilar
    Pages 27-41
  5. Javier Gomez-Pilar
    Pages 43-54
  6. Javier Gomez-Pilar
    Pages 55-59
  7. Javier Gomez-Pilar
    Pages 61-65
  8. Back Matter
    Pages 67-67

About this book


This book reports on the development and assessment of a novel framework for studying neural interactions (the connectome) and their dynamics (the chronnectome). Using EEG recordings taken during an auditory oddball task performed by 48 patients with schizophrenia and 87 healthy controls, and applying local and network measures, changes in brain activation from pre-stimulus to cognitive response were assessed, and significant differences were observed between the patients and controls. This book investigates the source of the network abnormalities and presents new evidence for the disconnection hypothesis and the aberrant salience hypothesis with regard to schizophrenia. Moreover, it puts forward a novel approach to combining local regularity measures and graph measures in order to characterize schizophrenia brain dynamics, and presents interesting findings on the regularity of brain patterns in healthy control subjects versus patients with schizophrenia. Besides providing new evidence for the disconnection hypothesis, it offers a source of inspiration for future research directions in the field.


Neural Dynamics in Schizophrenia Neural Network Modeling Neural Coupling Neural Synchronization Neural Pathways Brain Complexity Schizophrenia Underpinnings Schizophrenia Subgroups Schizophrenia Heterogeneity Spectral Entropy Wavelet Entropy Task-related Activity Time-frequency Assessment Evoked Response Aberrant Salience in Schizophrenia Evidence for Disconnection Hypothesis

Authors and affiliations

  • JavierĀ Gomez-Pilar
    • 1
  1. 1.Biomedical Engineering GroupUniversity of ValladolidValladolidSpain

Bibliographic information

  • DOI
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-030-49899-3
  • Online ISBN 978-3-030-49900-6
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site
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