Alexander Zhigalov

TL;DR: In this article, the authors used source reconstructed magneto-and electroencephalographic recordings to characterize the dynamics of ongoing cortical activity and found robust power-law scaling in neuronal LRTCs and avalanches in resting-state data and during the performance of audiovisual threshold stimulus detection tasks.

TL;DR: It is concluded that spurious correlations must be carefully considered in connectivity analyses in MEG/EEG source space even when using measures that are immune to zero‐lag correlations, because signal mixing also significantly limits the separability of neuronal phase and amplitude correlations.

TL;DR: The broader use of the P300 BCI in BCI-controlled video games is recommended, because it exhibits relatively high speed and accuracy, and can be used without user training, after a short calibration.

TL;DR: Investigating the relationship between the human neuronal dynamics at fast and slow timescales using both source-reconstructed MEG and intracranial stereotactical electroencephalography found that power-law scaling behavior is a pervasive but neuroanatomically inhomogeneous property of neuronal dynamics in central and autonomous nervous systems.

TL;DR: It is suggested that FC and scale-free dynamics—hence, putatively, neuronal criticality as well—coemerge in a hierarchically modular structure in which the modules are characterized by dense connectivity, avalanche propagation, and shared dynamic states.