A visual encoding model links magnetoencephalography signals to neural synchrony in human cortex.

ABSTRACT: Synchronization of neuronal responses over large distances is hypothesized to be important for many cortical functions. However, no straightforward methods exist to estimate synchrony non-invasively in the living human brain. MEG and EEG measure the whole brain, but the sensors pool over large, overlapping cortical regions, obscuring the underlying neural synchrony. Here, we developed a model from stimulus to cortex to MEG sensors to disentangle neural synchrony from spatial pooling of the instrument. We find that synchrony across cortex has a surprisingly large and systematic effect on predicted MEG spatial topography. We then conducted visual MEG experiments and separated responses into stimulus-locked and broadband components. The stimulus-locked topography was similar to model predicti

SUBMITTER: Kupers ER 

PROVIDER: S-EPMC8788390 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature