Characterization of Neural Activity Using Complex Network Theory - An Application to the Study of Schizophrenia (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	July 2020
First published:	2021
Authors:	Javier Gomez-Pilar
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	67
Edition:	1st ed. 2021
ISBN-13:	978-3-03-049899-3
Categories:	Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
LSN:	3-03-049899-9
Barcode:	9783030498993

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