國立虎尾科技大學 |

Multimodal Oscillation-based Connectivity Theory

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multimodal Oscillation-based Connectivity Theory/ edited by Satu Palva.
other author:	Palva, Satu.
Description:	VII, 147 p. 30 illus., 28 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Neurosciences. -
Online resource:	https://doi.org/10.1007/978-3-319-32265-0
ISBN:	9783319322650

Multimodal Oscillation-based Connectivity Theory
Multimodal Oscillation-based Connectivity Theory[electronic resource] /edited by Satu Palva. - 1st ed. 2016. - VII, 147 p. 30 illus., 28 illus. in color.online resource.

Challenges in the analyses of large-scale synchronization from human MEG recordings -- Dynamical network states as predisposition of perception -- Neuronal synchronization, attention orienting, and primary consciousness -- The role of neuronal synchronization in visual working memory -- Thalamo-cortical communication and neural oscillations in large-scale network -- Neurocognitive decoding of aesthetic appreciation -- Neuromagnetic network synchronization in development and its alterations in clinical child populations -- Organization of functional networks in neurological and psychiatric diseases.

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.

ISBN: 9783319322650

Standard No.: 10.1007/978-3-319-32265-0doiSubjects--Topical Terms:

593561
Neurosciences.

LC Class. No.: RC321-580

Dewey Class. No.: 612.8

Multimodal Oscillation-based Connectivity Theory
LDR:04606nam a22003975i 4500 001 979547
003 DE-He213
005 20200706163815.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319322650 $9 978-3-319-32265-0
024 7 $a 10.1007/978-3-319-32265-0 $2 doi
035 $a 978-3-319-32265-0
050 4 $a RC321-580
072 7 $a PSAN $2 bicssc
072 7 $a MED057000 $2 bisacsh
072 7 $a PSAN $2 thema
082 0 4 $a 612.8 $2 23
245 1 0 $a Multimodal Oscillation-based Connectivity Theory $h [electronic resource] / $c edited by Satu Palva.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a VII, 147 p. 30 illus., 28 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Challenges in the analyses of large-scale synchronization from human MEG recordings -- Dynamical network states as predisposition of perception -- Neuronal synchronization, attention orienting, and primary consciousness -- The role of neuronal synchronization in visual working memory -- Thalamo-cortical communication and neural oscillations in large-scale network -- Neurocognitive decoding of aesthetic appreciation -- Neuromagnetic network synchronization in development and its alterations in clinical child populations -- Organization of functional networks in neurological and psychiatric diseases.
520 $a 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.
650 0 $a Neurosciences. $3 593561
650 0 $a Biomedical engineering. $3 588770
650 0 $a Neuropsychology. $3 556286
650 0 $a Radiology. $3 673943
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 2 4 $a Imaging / Radiology. $3 669876
700 1 $a Palva, Satu. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1109848
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319322636
776 0 8 $i Printed edition: $z 9783319322643
776 0 8 $i Printed edition: $z 9783319812373
856 4 0 $u https://doi.org/10.1007/978-3-319-32265-0
912 $a ZDB-2-SBL
912 $a ZDB-2-SXB
950 $a Biomedical and Life Sciences (SpringerNature-11642)
950 $a Biomedical and Life Sciences (R0) (SpringerNature-43708)