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001			85904
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007			cr nn 008mamaa
008			160606s2016 gw | s |||| 0|eng d
020			_a9783319322650
040			_aES-MaUEC
050		4	_aQP370 _b.M858 2016 EB
082	0	4	_a612.8
245	0	0	_aMultimodal Oscillation-based Connectivity Theory _cedited by Satu Palva
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (VII, 147 p.) _b30 ilustraciones, 28 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aChallenges 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	3		_aSystems-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. 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
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aSistema nervioso central _0comprobar BNE19913258570 _2embne _9144873
650		7	_aNeurociencias _0comprobar BNE20012490612 _2embne _9158907
700	1		_aPalva, Satu _eeditor literario _999210 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-32265-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319322650
907			_a.b12951821 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b26-05-17 _cm _dz _ek _feng _ggw _h0
945			_aQP370 .M858 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11594597 _z06-04-17
999			_c85904 _d85904 _x1