Characterization of Neural Activity Using Complex Network Theory: An Application to the Study of Schizophrenia...

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Javier Gomez-Pilar

Characterization of Neural Activity Using Complex Network Theory

An Application to the Study of Schizophrenia

Javier Gomez-Pilar

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English

Springer Nature Switzerland AG
01 July 2020

Cybernetics & systems theory; Combinatorics & graph theory; Neurosciences; Maths for engineers

Series: Springer Theses

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.

By: Javier Gomez-Pilar
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 2021 ed.
Dimensions: Height: 235mm, Width: 155mm,
Weight: 454g
ISBN: 9783030498993
ISBN 10: 3030498999
Series: Springer Theses
Pages: 67
Publication Date: 01 July 2020
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Introduction.- Hypotheses and objectives.- 3 Materials and methods.- Results.- Discussion