Estimating and inferring the maximum degree of stimulus-locked time-varying brain connectivity networks.

ABSTRACT: Neuroscientists have enjoyed much success in understanding brain functions by constructing brain connectivity networks using data collected under highly controlled experimental settings. However, these experimental settings bear little resemblance to our real-life experience in day-to-day interactions with the surroundings. To address this issue, neuroscientists have been measuring brain activity under natural viewing experiments in which the subjects are given continuous stimuli, such as watching a movie or listening to a story. The main challenge with this approach is that the measured signal consists of both the stimulus-induced signal, as well as intrinsic-neural and nonneuronal signals. By exploiting the experimental design, we propose to estimate stimulus-locked brain networks by tre

SUBMITTER: Tan KM 

PROVIDER: S-EPMC10473899 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature