Human brain activity can be monitored with high temporal resolution by recording the weak magnetic fields produced by electrically active neurons. This technique, magnetoencephalography (MEG), is currently undergoing a renaissance due to the advent of novel sensors that can be placed much closer to the brain as well as due to advanced signal analysis techniques e.g. to study functional connectivity between brain regions and to provide neurofeedback. I will discuss how MEG is changing.

This presentation is part of Minisymposium “MS19 - Brain imaging: from neurosignals to functional brain mapping”
organized by: Erkki Somersalo (Case Western Reserve University) , Francesca Pitolli (Dept. of Basic and Applied Sciences for Engineering, University of Rome “La Sapienza”) .

Authors:

Lauri Parkkonen (Aalto University)

Keywords:

bayesian methods, brain imaging, inverse problems, machine learning, magnetoencephalography, meg, real-time analysis