Spontaneous network activity <35 ​Hz accounts for variability in stimulus-induced gamma responses.

ABSTRACT: Gamma activity is thought to serve several cognitive processes, including attention and memory. Even for the simplest stimulus, the occurrence of gamma activity is highly variable, both within and between individuals. The sources of this variability, however, are largely unknown. In this paper, we address one possible cause: the cross-frequency influence of spontaneous, whole-brain network activity on visual stimulus processing. By applying Hidden Markov modelling to MEG data, we reveal that the trial-averaged gamma response to a moving grating depends on the individual network dynamics, inferred from slower brain activity (<35 ​Hz) in the absence of stimulation (resting-state and task baseline). In addition, we demonstrate that modulations of network activity in task baseline influence th

SUBMITTER: Hirschmann J 

PROVIDER: S-EPMC8111242 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature