MEG : an introduction to methods /
Magnetoencephalography (MEG) is an exciting brain imaging technology that allows real-time tracking of neural activity, making it an invaluable tool for advancing our understanding of brain function.
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York :
Oxford University Press,
2010.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Electrophysiological basis of MEG signals / Fernando H. Lopes da Silva
- Instrumentation and data preprocessing / Lauri Parkkonen
- Measurements / Lauri Parkkonen and Riitta Salmelin
- Experimental design / Riitta Salmelin and Lauri Parkkonen
- The dowser in the fields : searching for MEG sources / Sylvain Baillet
- Multi-dipole modeling in MEG / Riitta Salmelin
- Estimating distributed representations of evoked responses and oscillatory brain activity / Ole Jensen and Christian Hesse
- Anatomically and functionally constrained minimum-norm estimates / Matti S. Hämäläinen, Fa-Hsuan Lin, and John C. Mosher
- Noninvasive functional tomographic connectivity analysis with magnetoencephalography / Joachim Gross [and others]
- Statistical inference in MEG distributed source imaging / Dimitrios Pantazis and Richard M. Leahy
- Combining neuroimaging techniques : the future / Jean-Baptiste Poline, Line Garnero and Pierre-Jean Lahaye
- Somatosensory and motor function / Ryusuke Kakigi and Nina Forss
- MEG and reading : from perception to linguistic analysis / Riitta Salmelin
- The use of MEG in clinical settings / Jyrki P. Mäkelä
- Using magnetoencephalography to elucidate the principles of deep brain stimulation
- Morten l. Kringelbach [and others].