A multimodal encoding model applied to imaging decision-related neural cascades in the human brain.

ABSTRACT: Perception and cognition in the brain are naturally characterized as spatiotemporal processes. Decision-making, for example, depends on coordinated patterns of neural activity cascading across the brain, running in time from stimulus to response and in space from primary sensory regions to the frontal lobe. Measuring this cascade is key to developing an understanding of brain function. Here we report on a novel methodology that employs multi-modal imaging for inferring this cascade in humans at unprecedented spatiotemporal resolution. Specifically, we develop an encoding model to link simultaneously measured electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) signals to infer high-resolution spatiotemporal brain dynamics during a perceptual decision. After demonst

SUBMITTER: Muraskin J 

PROVIDER: S-EPMC5748024 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature