| 000 | 03361nam a22005895i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-49900-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220801214812.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 200630s2021 sz | s |||| 0|eng d | ||
| 020 |
_a9783030499006 _9978-3-030-49900-6 |
||
| 024 | 7 |
_a10.1007/978-3-030-49900-6 _2doi |
|
| 050 | 4 | _aTA352-356 | |
| 050 | 4 | _aQC20.7.N6 | |
| 072 | 7 |
_aTBJ _2bicssc |
|
| 072 | 7 |
_aGPFC _2bicssc |
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| 072 | 7 |
_aTEC009000 _2bisacsh |
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| 072 | 7 |
_aTBJ _2thema |
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| 072 | 7 |
_aGPFC _2thema |
|
| 082 | 0 | 4 |
_a515.39 _223 |
| 100 | 1 |
_aGomez-Pilar, Javier. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _940546 |
|
| 245 | 1 | 0 |
_aCharacterization of Neural Activity Using Complex Network Theory _h[electronic resource] : _bAn Application to the Study of Schizophrenia / _cby Javier Gomez-Pilar. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
| 300 |
_aXVIII, 67 p. 24 illus., 19 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 |
|
| 505 | 0 | _aIntroduction -- Hypotheses and objectives -- 3 Materials and methods -- Results -- Discussion. | |
| 520 | _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. | ||
| 650 | 0 |
_aDynamics. _940547 |
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| 650 | 0 |
_aNonlinear theories. _93339 |
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| 650 | 0 |
_aComputational neuroscience. _915392 |
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| 650 | 0 |
_aGraph theory. _93662 |
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| 650 | 1 | 4 |
_aApplied Dynamical Systems. _932005 |
| 650 | 2 | 4 |
_aComputational Neuroscience. _915392 |
| 650 | 2 | 4 |
_aGraph Theory. _93662 |
| 710 | 2 |
_aSpringerLink (Online service) _940548 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030498993 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030499013 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030499020 |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 _940549 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-49900-6 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c76767 _d76767 |
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