Paper Info
Title
Anticipating conflict: Neural correlates of a Bayesian belief and its motor consequence.
Abstract
Previous studies have examined the neural correlates of proactive control using a variety of behavioral paradigms; however, the neural network relating the control process to its behavioral consequence remains unclear. Here, we applied a dynamic Bayesian model to a large fMRI data set of the stop signal task to address this issue. By estimating the probability of the stop signal – p(Stop) – trial by trial, we showed that higher p(Stop) is associated with prolonged go trial reaction time (RT), indicating proactive control of motor response. In modeling fMRI signals at trial and target onsets, we distinguished activities of proactive control, prediction error, and RT slowing. We showed that the anterior pre-supplementary motor area (pre-SMA) responds specifically to increased stop signal likelihood, and its activity is correlated with activations of the posterior pre-SMA and bilateral anterior insula during prolonged response times. This directional link is also supported by Granger causality analysis. Furthermore, proactive control, prediction error, and time-on-task are each mapped to distinct areas in the medial prefrontal cortex. Together, these findings dissect regional functions of the medial prefrontal cortex in cognitive control and provide system level evidence associating conflict anticipation with its motor consequence.
Year
DOI
Venue
2015
10.1016/j.neuroimage.2015.06.032
NeuroImage
Keywords
Field
DocType
Top–down,Imaging,Stop signal task,Inhibitory control,Bayesian
Neural correlates of consciousness,Bayesian inference,Anticipation,Prefrontal cortex,Stop signal,Cognitive psychology,Psychology,Artificial neural network,Cognition,Bayesian probability
Journal
Volume
ISSN
Citations 
119
1053-8119
1
PageRank 
References 
Authors
0.35
29
4
Name
Order
Citations
PageRank
Sien Hu1202.59
Jaime S. Ide2527.82
Sheng Zhang3334.53
Chiang-shan R Li4938.44