Watch out! Medial frontal cortex is activated by cues signaling potential changes in response demands
The human medial frontal cortex and especially the anterior cingulate cortex (ACC) have been implicated in several aspects of performance monitoring. We examined event-related EEG during a general process of controlling attention by using a novel paradigm to elicit a medial frontal negativity (MFN)...
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Published in | NeuroImage (Orlando, Fla.) Vol. 114; pp. 356 - 370 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.07.2015
Elsevier Limited |
Subjects | |
Online Access | Get full text |
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Summary: | The human medial frontal cortex and especially the anterior cingulate cortex (ACC) have been implicated in several aspects of performance monitoring. We examined event-related EEG during a general process of controlling attention by using a novel paradigm to elicit a medial frontal negativity (MFN) to stimuli that indicate potential changes in future response demands. Independent components analysis revealed that the latent factors that accounted for MFN activity to such changes also accounted for activity associated with the error-related negativity and the NoGo inhibitory N2. Given that the medial frontal activation to these changes varied reliably across subjects simply as a function of potential need to alter responses in the absence of error commission and response inhibition, we propose that the underlying basis for medial frontal activation in situations demanding ongoing monitoring of performance involves an increase in attention control, a factor common to all MFN paradigms.
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•MFN elicited to stimuli indicating potential response demand changes•Alerting stimuli affects behavior and activation in ICs capturing MFN responses.•ICs account for MFN activity to alerting stimuli, ERN, and NoGo N2.•Several MFNs can be attributed to the general process of controlling attention.•Medial frontal cortex functioning captured with simple response context paradigm |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1053-8119 1095-9572 1095-9572 |
DOI: | 10.1016/j.neuroimage.2015.04.021 |