Characterization of Neural Activity Using Complex Network Theory

£89.50

Characterization of Neural Activity Using Complex Network Theory

An Application to the Study of Schizophrenia

Cybernetics and systems theory Combinatorics and graph theory Neurosciences Maths for engineers

Author: Javier Gomez-Pilar

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Collection: Springer Theses

Language: English

Published by: Springer

Published on: 30th June 2020

Format: LCP-protected ePub

Size: 8 Mb

ISBN: 9783030499006


Overview

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.

Key Topics

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.

Implications

Besides providing new evidence for the disconnection hypothesis, it offers a source of inspiration for future research directions in the field.

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