Characterization of Neural Activity Using Complex Network Theory (Record no. 76767)

000 -LEADER
fixed length control field 03361nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-030-49900-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214812.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200630s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030499006
-- 978-3-030-49900-6
082 04 - CLASSIFICATION NUMBER
Call Number 515.39
100 1# - AUTHOR NAME
Author Gomez-Pilar, Javier.
245 10 - TITLE STATEMENT
Title Characterization of Neural Activity Using Complex Network Theory
Sub Title An Application to the Study of Schizophrenia /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVIII, 67 p. 24 illus., 19 illus. in color.
490 1# - SERIES STATEMENT
Series statement Springer Theses, Recognizing Outstanding Ph.D. Research,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Hypotheses and objectives -- 3 Materials and methods -- Results -- Discussion.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-49900-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Dynamics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Nonlinear theories.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational neuroscience.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Graph theory.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Applied Dynamical Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Neuroscience.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Graph Theory.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2190-5061
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

No items available.