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Default Mode Network in the Effects of ¿9-Tetrahydrocannabinol (THC) on Human Executive Function
- Source :
- ISSN: 1932-6203
- Publication Year :
- 2013
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Abstract
- Evidence is increasing for involvement of the endocannabinoid system in cognitive functions including attention and executive function, as well as in psychiatric disorders characterized by cognitive deficits, such as schizophrenia. Executive function appears to be associated with both modulation of active networks and inhibition of activity in the default mode network. In the present study, we examined the role of the endocannabinoid system in executive function, focusing on both the associated brain network and the default mode network. A pharmacological functional magnetic resonance imaging (fMRI) study was conducted with a placebo-controlled, cross-over design, investigating effects of the endocannabinoid agonist ¿9-tetrahydrocannabinol (THC) on executive function in 20 healthy volunteers, using a continuous performance task with identical pairs. Task performance was impaired after THC administration, reflected in both an increase in false alarms and a reduction in detected targets. This was associated with reduced deactivation in a set of brain regions linked to the default mode network, including posterior cingulate cortex and angular gyrus. Less deactivation was significantly correlated with lower performance after THC. Regions that were activated by the continuous performance task, notably bilateral prefrontal and parietal cortex, did not show effects of THC. These findings suggest an important role for the endocannabinoid system in both default mode modulation and executive function. This may be relevant for psychiatric disorders associated with executive function deficits, such as schizophrenia and ADHD
Details
- Database :
- OAIster
- Journal :
- ISSN: 1932-6203
- Notes :
- application/pdf, PLoS ONE 8 (2013) 7, ISSN: 1932-6203, ISSN: 1932-6203, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1200333682
- Document Type :
- Electronic Resource