Good practice for conducting and reporting MEG research
University of Glasgow · McGill University · +16 more institutions
Abstract
Magnetoencephalographic (MEG) recordings are a rich source of information about the neural dynamics underlying cognitive processes in the brain, with excellent temporal and good spatial resolution. In recent years there have been considerable advances in MEG hardware developments and methods. Sophisticated analysis techniques are now routinely applied and continuously improved, leading to fascinating insights into the intricate dynamics of neural processes. However, the rapidly increasing level of complexity of the different steps in a MEG study make it difficult for novices, and sometimes even for experts, to stay aware of possible limitations and caveats. Furthermore, the complexity of MEG data acquisition…
Citation impact
- FWCI
- 16.21
- Percentile
- 100%
- References
- 155
Authors
15- JGJoachim GroßCorresponding
University of Glasgow
- SBSylvain Baillet
McGill University, Montreal Neurological Institute and Hospital
- GRGareth R. Barnes
Wellcome Centre for Human Neuroimaging, University College London
- RNRichard N. Henson
MRC Cognition and Brain Sciences Unit
- AHArjan Hillebrand
Amsterdam UMC Location Vrije Universiteit Amsterdam
Topics & keywords
- Magnetoencephalography
- Computer science
- Data science
- Field (mathematics)
- Cognition
- Quality (philosophy)
- Psychology
- Neuroscience
- Quality Education