Literature DB >> 28782869

Distinguishing stimulus and response codes in theta oscillations in prefrontal areas during inhibitory control of automated responses.

Moritz Mückschel1,2, Gabriel Dippel1, Christian Beste1,3.   

Abstract

Response inhibition mechanisms are mediated via cortical and subcortical networks. At the cortical level, the superior frontal gyrus, including the supplementary motor area (SMA) and inferior frontal areas, is important. There is an ongoing debate about the functional roles of these structures during response inhibition as it is unclear whether these structures process different codes or contents of information during response inhibition. In the current study, we examined this question with a focus on theta frequency oscillations during response inhibition processes. We used a standard Go/Nogo task in a sample of human participants and combined different EEG signal decomposition methods with EEG beamforming approaches. The results suggest that stimulus coding during inhibitory control is attained by oscillations in the upper theta frequency band (∼7 Hz). In contrast, response selection codes during inhibitory control appear to be attained by the lower theta frequency band (∼4 Hz). Importantly, these different codes seem to be processed in distinct functional neuroanatomical structures. Although the SMA may process stimulus codes and response selection codes, the inferior frontal cortex may selectively process response selection codes during inhibitory control. Taken together, the results suggest that different entities within the functional neuroanatomical network associated with response inhibition mechanisms process different kinds of codes during inhibitory control. These codes seem to be reflected by different oscillations within the theta frequency band. Hum Brain Mapp 38:5681-5690, 2017.
© 2017 Wiley-Liss, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  EEG; beamforming; inferior frontal cortex; inhibitory control; neural oscillations; signal decomposition; supplementary motor area

Mesh:

Year:  2017        PMID: 28782869      PMCID: PMC6867003          DOI: 10.1002/hbm.23757

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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