LEADER 03296nam 22005775 450 001 9910484467903321 005 20200705043935.0 010 $a3-030-49900-6 024 7 $a10.1007/978-3-030-49900-6 035 $a(CKB)4100000011325555 035 $a(MiAaPQ)EBC6271214 035 $a(DE-He213)978-3-030-49900-6 035 $a(PPN)248595008 035 $a(EXLCZ)994100000011325555 100 $a20200630d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCharacterization of Neural Activity Using Complex Network Theory $eAn Application to the Study of Schizophrenia /$fby Javier Gomez-Pilar 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (79 pages) $cillustrations 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 311 $a3-030-49899-9 327 $aIntroduction -- Hypotheses and objectives -- 3 Materials and methods -- Results -- Discussion. 330 $aThis book reports on the development and assessment of a novel framework for studying neural interactions (the connectome) and their dynamics (the chronnectome). Using EEG recordings taken during an auditory oddball task performed by 48 patients with schizophrenia and 87 healthy controls, and applying local and network measures, changes in brain activation from pre-stimulus to cognitive response were assessed, and significant differences were observed between the patients and controls. This book investigates the source of the network abnormalities and presents new evidence for the disconnection hypothesis and the aberrant salience hypothesis with regard to schizophrenia. Moreover, it puts forward a novel approach to combining local regularity measures and graph measures in order to characterize schizophrenia brain dynamics, and presents interesting findings on the regularity of brain patterns in healthy control subjects versus patients with schizophrenia. Besides providing new evidence for the disconnection hypothesis, it offers a source of inspiration for future research directions in the field. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aComputational complexity 606 $aNeurosciences 606 $aGraph theory 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006 606 $aGraph Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M29020 615 0$aComputational complexity. 615 0$aNeurosciences. 615 0$aGraph theory. 615 14$aComplexity. 615 24$aNeurosciences. 615 24$aGraph Theory. 676 $a612.01427 676 $a612.01427 700 $aGomez-Pilar$b Javier$4aut$4http://id.loc.gov/vocabulary/relators/aut$01226495 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484467903321 996 $aCharacterization of Neural Activity Using Complex Network Theory$92847824 997 $aUNINA