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Identifying and Modulating Neural Networks Associated with Response Inhibition: An Event-Related fMRI Investigation

 Craig M. Easdon and Anthony R. McIntosh
  
 

Abstract:
Goals: This study identifies the neural networks that support response inhibition and investigates how these networks might be modulated by a pharmacological challenge. Methods: Event-related fMRI was used to scan participants as they performed a stop-signal task. In this task, participants responded as quickly as possible to a go-signal (i.e., an X or an O), and tried to withhold their response whenever the go-signal was followed by a stop-signal (i.e., the X or the O changed color). Participants then received a moderate dose of ethanol (.56 g/kg) and were scanned as they performed the stop-signal task a second time. Results: Functional neuroimaging data were analyzed using two multivariate statistical techniques that quantify neural networks associated with response inhibition. These analyses identified a frontostriatal network that covaried with successful inhibitions and failures to inhibit a response on the stop-signal task: strong positive connections were observed between the prefrontal cortex (PFC), the anterior cingulate (AC), and the caudate. After drinking, participants made fewer stopping responses, however reaction time to the go-signal and response accuracy were not affected. Impaired response inhibition following alcohol was associated with reductions in the strengths of connections in the frontostriatal network. Conclusions: A frontostriatal network supports response inhibition on a stop-signal task and this network can be modulated by a moderate dose of ethanol.

 
 


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