Inhibitory motor control based on complex stopping goals relies on the same brain network as simple stopping.

ABSTRACT: Much research has modeled action-stopping using the stop-signal task (SST), in which an impending response has to be stopped when an explicit stop-signal occurs. A limitation of the SST is that real-world action-stopping rarely involves explicit stop-signals. Instead, the stopping-system engages when environmental features match more complex stopping goals. For example, when stepping into the street, one monitors path, velocity, size, and types of objects and only stops if there is a vehicle approaching. Here, we developed a task in which participants compared the visual features of a multidimensional go-stimulus to a complex stopping-template, and stopped their go-response if all features matched the template. We used independent component analysis of EEG data to show that the same motor

SUBMITTER: Wessel JR 

PROVIDER: S-EPMC4396635 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature