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Multimodal Oscillation-based Connectivity Theory (Paperback, Softcover reprint of the original 1st ed. 2016)
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Multimodal Oscillation-based Connectivity Theory (Paperback, Softcover reprint of the original 1st ed. 2016)
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Systems-level neuronal mechanisms that coordinate the temporally,
anatomically, and functionally distributed neuronal activity into
coherent cognitive operations in the human brain have remained
poorly understood. In humans, neuronal oscillations and
synchronization can be recorded non-invasively with electro- and
magnetoencephalography (EEG and MEG) that have excellent temporal
resolution and an adequate spatial resolution when combined with
source-reconstruction methods. In this book, leading authors in the
field describe how recent methodological advances have paved the
way to several major breakthroughs in the observations of
large-scale synchrony from human non-invasive MEG data. This volume
also presents the caveats influencing analyses of synchronization.
These include the non-homogeneous sensitivity of MEG to superficial
cortical sources, and, most importantly, the multitude of
consequences of linear mixing. Linear mixing is an immense
confounder in the sensor-level analyses of synchronization, but is
also present at the source level. Approaches that can be used to
avoid or compensate for these issues are then discussed.
Thereafter, several authors take up a number of the functional
roles that large-scale synchronization has in cognition. The
authors assess how the spatio-temporal and -spectral organization
and strength of both local and large-scale synchronized networks
are associated with conscious sensory perception, visual working
memory functions, and attention. These chapters summarize several
lines of research showing how the strength of local and inter-areal
oscillations in both cortical and subcortical brain structures is
correlated with cognitive functions. Together these data suggest
that synchronized neuronal oscillations may be a systems-level
neuronal mechanism underlying the coordination of distributed
processing in human cognition. In line with this argument, other
authors go on to describe how oscillations and synchronization are
altered in clinical populations, complementing the data presented
on healthy subjects. Importantly, this book includes chapters from
authors using many different approaches to the analyses of neuronal
oscillations, ranging from local oscillatory activities to the
usage of graph theoretical tools in the analyses of
synchronization. In this way the present volume provides a
comprehensive view on the analyses and functional significance of
neuronal oscillations in humans. This book is aimed at doctoral and
post-doctoral students as well as research scientists in the fields
of cognitive neuroscience, psychology, medicine, and neurosciences.
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