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MEG - EEG Primer
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Abstract
MEG–EEG Primer is the first ever volume to introduce and discuss MEG and EEG in a balanced manner side by side, starting from the methods’ physical and physiological bases and then advancing to data acquisition, analysis, visualization, and interpretation. The authors pay special attention to careful experimentation, guiding readers to differentiate brain signals from various artifacts and to ensure that the collected data are reliable. The book weighs the strengths and weaknesses of MEG and EEG relative to one another and to other methods used in systems, cognitive, and social neuroscience. The authors discuss the role of MEG and EEG in studying perception, action, cognition, and emotion, as well as examine the assessment of brain function in various clinical disorders. New developments in MEG and EEG hardware and software are also featured. The book aims to bring members of multidisciplinary research teams onto equal footing so that they can contribute to different aspects of MEG and EEG results and to be able to participate in future developments in the field. The book ends with a wider look at the role of time-sensitive MEG/EEG recordings in the current attempts to understand how the human brain works.
Title: MEG - EEG Primer
Description:
Abstract
MEG–EEG Primer is the first ever volume to introduce and discuss MEG and EEG in a balanced manner side by side, starting from the methods’ physical and physiological bases and then advancing to data acquisition, analysis, visualization, and interpretation.
The authors pay special attention to careful experimentation, guiding readers to differentiate brain signals from various artifacts and to ensure that the collected data are reliable.
The book weighs the strengths and weaknesses of MEG and EEG relative to one another and to other methods used in systems, cognitive, and social neuroscience.
The authors discuss the role of MEG and EEG in studying perception, action, cognition, and emotion, as well as examine the assessment of brain function in various clinical disorders.
New developments in MEG and EEG hardware and software are also featured.
The book aims to bring members of multidisciplinary research teams onto equal footing so that they can contribute to different aspects of MEG and EEG results and to be able to participate in future developments in the field.
The book ends with a wider look at the role of time-sensitive MEG/EEG recordings in the current attempts to understand how the human brain works.
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