MEG. An introduction to methods

By Peter C. Hansen, Morten L. Kringelbach, R. Salmelin. 2010

381 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/45747469bbe04b0cfa017e1fd97004f8871c718a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Sylvain Baillet
2. Dimitrios Pantazis
3. Richard M. Leahy
4. François Tadel
5. John C. Mosher
6. Suresh D. Muthukumaraswamy
7. F. H. Lopes da Silva
8. Stanislas Dehaene

Citations in the corpus

• EEG and MEG: relevance to neuroscience. (2013, background): “With Neuron 80, December 4, 2013 ª2013 Elsevier Inc. 1113 respect to MEG, the modern whole-head MEG systems with 200 to 300 sensors provide dense enough spatial sampling for most applications (Hari, 2011; Hansen et al., 2010).”
• Brainstorm: A User-Friendly Application for MEG/EEG Analysis (2011, background): “This paper describes the software only; methodological background material is not presented here but can be found in multiple review articles and books, for example, [1, 27, 28].”
• High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations (2013, background): “The full bandwidth of high-frequency activity should always be represented.”