| 书目名称 | Multimodal Oscillation-based Connectivity Theory | | 编辑 | Satu Palva | | 视频video | | | 概述 | Describes how recent technical advances have resulted in several major breakthroughs in the analyses and observations of large-scale synchrony from human non-invasive MEG data.Shows power of large-sca | | 图书封面 |  | | 描述 | 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 | | 出版日期 | Book 2016 | | 关键词 | Connectivity theory; Large-scale neuronal synchronization; MEG / EEG; Neuronal oscillation; Synchrony; Os | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-32265-0 | | isbn_softcover | 978-3-319-81237-3 | | isbn_ebook | 978-3-319-32265-0 | | copyright | Springer International Publishing Switzerland 2016 |
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发表于 2025-3-21 18:14:22
