1.

Record Nr.

UNINA9910484467903321

Autore

Gomez-Pilar Javier

Titolo

Characterization of Neural Activity Using Complex Network Theory : An Application to the Study of Schizophrenia / / by Javier Gomez-Pilar

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-49900-6

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (79 pages) : illustrations

Collana

Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053

Disciplina

612.01427

Soggetti

Computational complexity

Neurosciences

Graph theory

Complexity

Graph Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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

Sommario/riassunto

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.