The Key Locus of Common Response Inhibition Network for No-go and Stop Signals
Response inhibition is one of the highest evolved executive functions of human beings. Previous studies revealed a wide variety of brain regions related to response inhibition, although some of them may not be directly related to inhibition but to task-specific effects or noninhibitory cognitive fun...
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| Published in | Journal of cognitive neuroscience Vol. 20; no. 8; pp. 1434 - 1442 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
One Rogers Street, Cambridge, MA 02142-1209, USA
MIT Press
01.08.2008
MIT Press Journals, The |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0898-929X 1530-8898 |
| DOI | 10.1162/jocn.2008.20100 |
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| Summary: | Response inhibition is one of the highest evolved executive functions of human beings. Previous studies revealed a wide variety of brain regions related to response inhibition, although some of them may not be directly related to inhibition but to task-specific effects or noninhibitory cognitive functions such as attention, response competition, or error detection. Here, we conducted event-related functional magnetic resonance imaging studies in which all subjects performed both stop-signal and go/no-go tasks in order to explore key neural correlates within the response inhibition network irrelevant to task designs and other cognitive processes. The successful inhibition in the stop-signal and go/no-go tasks, respectively, activated a set of predominantly right-lateralized hemispheric cortices. The common inhibitory regions across the two tasks included the right middle prefrontal cortex in addition to the right middle occipital cortex. Correlation analysis was carried out within these areas between intensity of activation and behavioral performance in the two tasks. Only the region located in the middle prefrontal cortex showed significant correlations in both tasks. We believe this region is the key locus for execution of response inhibition in the distributed inhibitory neural network. |
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| Bibliography: | August, 2008 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0898-929X 1530-8898 |
| DOI: | 10.1162/jocn.2008.20100 |