Significance of event related causality (ERC) in eloquent neural networks.

ABSTRACT: Neural activity emerges and propagates swiftly between brain areas. Investigation of these transient large-scale flows requires sophisticated statistical models. We present a method for assessing the statistical confidence of event-related neural propagation. Furthermore, we propose a criterion for statistical model selection, based on both goodness of fit and width of confidence intervals. We show that event-related causality (ERC) with two-dimensional (2D) moving average, is an efficient estimator of task-related neural propagation and that it can be used to determine how different cognitive task demands affect the strength and directionality of neural propagation across human cortical networks. Using electrodes surgically implanted on the surface of the brain for clinical testing prior

SUBMITTER: Korzeniewska A 

PROVIDER: S-EPMC9029701 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature