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Titlebook: The Graph Theoretical Approach in Brain Functional Networks; Theory and Applicati Fabrizio Vico Fallani,Fabio Babiloni Book 2010 Springer N

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书目名称The Graph Theoretical Approach in Brain Functional Networks
副标题Theory and Applicati
编辑Fabrizio Vico Fallani,Fabio Babiloni
视频video
丛书名称Synthesis Lectures on Biomedical Engineering
图书封面Titlebook: The Graph Theoretical Approach in Brain Functional Networks; Theory and Applicati Fabrizio Vico Fallani,Fabio Babiloni Book 2010 Springer N
描述The 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
出版日期Book 2010
版次1
doihttps://doi.org/10.1007/978-3-031-01644-8
isbn_softcover978-3-031-00516-9
isbn_ebook978-3-031-01644-8Series ISSN 1930-0328 Series E-ISSN 1930-0336
issn_series 1930-0328
copyrightSpringer Nature Switzerland AG 2010
The information of publication is updating

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Synthesis Lectures on Biomedical Engineeringhttp://image.papertrans.cn/t/image/910862.jpg
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Book 2010ases 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
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1930-0328 dexes derived from the graph theory. In particular, the observed structural changes could critically depend on patterns of synchronization and desynchronization978-3-031-00516-9978-3-031-01644-8Series ISSN 1930-0328 Series E-ISSN 1930-0336
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The Graph Theoretical Approach in Brain Functional NetworksTheory and Applicati
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