000 04352nam a22005175i 4500
001 978-3-031-01644-8
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008 220601s2010 sz | s |||| 0|eng d
020 _a9783031016448
_9978-3-031-01644-8
024 7 _a10.1007/978-3-031-01644-8
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aFallani, Fabrizio.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984092
245 1 4 _aThe Graph Theoretical Approach in Brain Functional Networks
_h[electronic resource] :
_bTheory and Applications /
_cby Fabrizio Fallani, Fabio Babiloni.
250 _a1st ed. 2010.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2010.
300 _aXII, 84 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
505 0 _aIntroduction -- Brain Functional Connectivity -- Graph Theory -- High-Resolution EEG -- Cortical Networks in Spinal Cord Injured Patients -- Cortical Networks During a Lifelike Memory Task -- Application to Time-varying Cortical Networks -- Conclusions.
520 _aThe present book illustrates the theoretical aspects of several methodologies related to the possibility of i) enhancing the poor spatial information of the electroencephalographic (EEG) activity on the scalp and giving a measure of the electrical activity on the cortical surface. ii) estimating the directional influences between any given pair of channels in a multivariate dataset. iii) modeling the brain networks as graphs. The possible applications are discussed in three different experimental designs regarding i) the study of pathological conditions during a motor task, ii) the study of memory processes during a cognitive task iii) the study of the instantaneous dynamics throughout the evolution of a motor task in physiological conditions. The main outcome from all those studies indicates clearly that the performance of cognitive and motor tasks as well as the presence of neural diseases can affect the brain network topology. This evidence gives the power of reflecting cerebral "states" or "traits" to the mathematical indexes derived from the graph theory. In particular, the observed structural changes could critically depend on patterns of synchronization and desynchronization - i.e. the dynamic binding of neural assemblies - as also suggested by a wide range of previous electrophysiological studies. Moreover, the fact that these patterns occur at multiple frequencies support the evidence that brain functional networks contain multiple frequency channels along which information is transmitted. The graph theoretical approach represents an effective means to evaluate the functional connectivity patterns obtained from scalp EEG signals. The possibility to describe the complex brain networks sub-serving different functions in humans by means of "numbers" is a promising tool toward the generation of a better understanding of the brain functions. Table of Contents: Introduction / Brain Functional Connectivity / Graph Theory / High-Resolution EEG / Cortical Networks in Spinal Cord Injured Patients / Cortical Networks During a Lifelike Memory Task / Application to Time-varying Cortical Networks / Conclusions.
650 0 _aEngineering.
_99405
650 0 _aBiophysics.
_94093
650 0 _aBiomedical engineering.
_93292
650 1 4 _aTechnology and Engineering.
_984095
650 2 4 _aBiophysics.
_94093
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
700 1 _aBabiloni, Fabio.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984098
710 2 _aSpringerLink (Online service)
_984100
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031005169
776 0 8 _iPrinted edition:
_z9783031027727
830 0 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
_984102
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01644-8
912 _aZDB-2-SXSC
942 _cEBK
999 _c85615
_d85615