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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
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Modern Electroencephalographic Assessment Techniques - Theory and Applications (Hardcover, 2015 ed.)
Loot Price: R4,021
Discovery Miles 40 210
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Modern Electroencephalographic Assessment Techniques - Theory and Applications (Hardcover, 2015 ed.)
Series: Neuromethods, 91
Expected to ship within 12 - 17 working days
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Modern Electroencephalographic Assessment Techniques: Theory and
Applications presents numerous signal processing and connectivity
analysis methodologies addressing a wide variety of clinical
applications including epilepsy, schizophrenia, Alzheimer's disease
and even alcoholism. Among the different topics addressed, the
neurophysiological basis of cognitive processes is also
investigated. The goal is to provide a comprehensive overview of
the most modern and widely established approaches mainly applied
in, but not limited to, decomposing high resolution multichannel
Electroencephalography (EEG) and Magnetoencephalography (MEG)
signals into functional interconnected brain regions. Synergistic
approaches linking both EEG/ MEG and functional Magnetic Resonance
Imaging (fMRI) techniques are also discussed. In line with the
popular Neuromethods series, chapters present the theoretical basis
of each method along with prosperous application domains, in the
form of a balanced mixture of theoretical tutorials, comprehensive
reviews and original research. Emphasis is given to the underlying
assumptions, to technical matters that greatly affect the outcome
of each proposed method, to the ambitions and to the domain of
application of each method. Furthermore, links to graph theory and
visualization of connectivity motifs is also addressed in an
attempt to better describe the functional characteristics of brain
networks. Authoritative and practical, Modern
Electroencephalographic Assessment Techniques: Theory and
Applications touches upon both the biomedical and computational
aspects of this exciting and rapidly evolving field and will allow
for a more in-depth, vital understanding of the brain's complex
underlying mechanisms.
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