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020 _a9783031016226
_9978-3-031-01622-6
024 7 _a10.1007/978-3-031-01622-6
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aAstolfi, Laura.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986480
245 1 0 _aEstimation of Cortical Connectivity in Humans
_h[electronic resource] :
_bAdvanced Signal Processing Techniques /
_cby Laura Astolfi, Fabio Babiloni.
250 _a1st ed. 2008.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2008.
300 _aXVI, 93 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 -- Estimation of the Effective Connectivity from Stationary Data by Structural Equation Modeling -- Estimation of the Functional Connectivity from Stationary Data by Multivariate Autoregressive Methods -- Estimation of Cortical Activity by the use of Realistic Head Modeling -- Application: Estimation of Connectivity from Movement-Related Potentials -- Application to High-Resolution EEG Recordings in a Cognitive Task (Stroop Test) -- Application to Data Related to the Intention of Limb Movements in Normal Subjects and in a Spinal Cord Injured Patient -- The Instantaneous Estimation of the Time-Varying Cortical Connectivity by Adaptive Multivariate Estimators -- Time-Varying Connectivity from Event-Related Potentials.
520 _aIn the last ten years many different brain imaging devices have conveyed a lot of information about the brain functioning in different experimental conditions. In every case, the biomedical engineers, together with mathematicians, physicists and physicians are called to elaborate the signals related to the brain activity in order to extract meaningful and robust information to correlate with the external behavior of the subjects. In such attempt, different signal processing tools used in telecommunications and other field of engineering or even social sciences have been adapted and re-used in the neuroscience field. The present book would like to offer a short presentation of several methods for the estimation of the cortical connectivity of the human brain. The methods here presented are relatively simply to implement, robust and can return valuable information about the causality of the activation of the different cortical areas in humans using non invasive electroencephalographic recordings. The knowledge of such signal processing tools will enrich the arsenal of the computational methods that a engineer or a mathematician could apply in the processing of brain signals. Table of Contents: Introduction / Estimation of the Effective Connectivity from Stationary Data by Structural Equation Modeling / Estimation of the Functional Connectivity from Stationary Data by Multivariate Autoregressive Methods / Estimation of Cortical Activity by the use of Realistic Head Modeling / Application: Estimation of Connectivity from Movement-Related Potentials / Application to High-Resolution EEG Recordings in a Cognitive Task (Stroop Test) / Application to Data Related to the Intention of Limb Movements in Normal Subjects and in a Spinal Cord Injured Patient / The Instantaneous Estimation of the Time-Varying Cortical Connectivity by Adaptive Multivariate Estimators / Time-Varying Connectivity from Event-Related Potentials.
650 0 _aEngineering.
_99405
650 0 _aBiophysics.
_94093
650 0 _aBiomedical engineering.
_93292
650 1 4 _aTechnology and Engineering.
_986483
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
_986485
710 2 _aSpringerLink (Online service)
_986487
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031004940
776 0 8 _iPrinted edition:
_z9783031027505
830 0 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
_986488
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01622-6
912 _aZDB-2-SXSC
942 _cEBK
999 _c85963
_d85963