Our article on a new method for assessing the functional connectivity of the brain has been published in the journal NeuroImage!

An article by Daria Kleeva and Alexey Ossadtchi was published in the journal NeuroImage. The authors presented the CD-PSIICOS method, a new generation algorithm for assessing functional connectivity based on MEG and EEG data, which takes into account individual characteristics of cortical activity and eliminates distortions caused by volumetric conduction.

In the work "Context-dependent PSIICOS: A novel framework for functional connectivity estimation accounting for task-related power leakage, the CD-PSIICOS method was proposed." The improved version of the PSIICOS algorithm for evaluating functional connectivity between brain regions based on MEG and EEG data.
One of the main challenges in building functional brain networks is volume conduction artifacts. These artifacts occur due to the fact that the activity of one source can "spill over" the sensors and create the illusion of communication between unrelated areas of the cortex. Many existing methods (for example, imaginary coherence) solve this problem, but at the expense of strict exclusion of interactions with zero delay, including real ones.
PSIICOS (and its extended version CD-PSIICOS) offers a different approach: based on an individual anatomical model of the head, a projector is built that suppresses the contribution of volumetric conductivity without losing physiologically significant connections. CD-PSIICOS makes this projector context-sensitive, adapts it to the distribution of signal power across the cortex, which allows you to more accurately identify interactions in those areas where activation actually took place.
The new method is particularly effective in analyzing induced activity (before/after a stimulus) and allows you to track the dynamics of neural networks with high accuracy.