Overview
- Nominated as an outstanding PhD thesis by the Bioengineering Group of Comité Español de Automática (CEA)
- Describes novel methods for investigating the dynamics of neuronal interactions
- Proposes a dynamical network model for assessing neural synchronization
- Discusses possible causes for the abnormal response to stimuli in patients with schizophrenia
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
- 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
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.
Authors and Affiliations
Bibliographic Information
Book Title: Characterization of Neural Activity Using Complex Network Theory
Book Subtitle: An Application to the Study of Schizophrenia
Authors: Javier Gomez-Pilar
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-030-49900-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-49899-3Published: 01 July 2020
Softcover ISBN: 978-3-030-49902-0Published: 01 July 2021
eBook ISBN: 978-3-030-49900-6Published: 30 June 2020
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVIII, 67
Number of Illustrations: 5 b/w illustrations, 19 illustrations in colour
Topics: Complexity, Neurosciences, Graph Theory