The world's first wiki where authorship really matters (Nature Genetics, 2008). Due credit and reputation for authors. Imagine a global collaborative knowledge base for original thoughts. Search thousands of articles and collaborate with scientists around the globe.
Reproducibility of regional brain metabolic responses to lorazepam.
Changes in regional brain glucose metabolism in response to benzodiazepine agonists have been used as indicators of benzodiazepine-GABA receptor function. The purpose of this study was to assess the reproducibility of these responses. METHODS: Sixteen healthy right-handed men underwent scanning with PET and [18F]fluorodeoxyglucose ( FDG) twice: before placebo and before lorazepam (30 micrograms/kg). The same double FDG procedure was repeated 6-8 wk later on the men to assess test-retest reproducibility. RESULTS: The regional absolute brain metabolic values obtained during the second evaluation were significantly lower than those obtained from the first evaluation regardless of condition (p < or = 0.001). Lorazepam significantly and consistently decreased both whole-brain metabolism and the magnitude. The regional pattern of the changes were comparable for both studies (12.3% +/- 6.9% and 13.7% +/- 7.4%). Lorazepam effects were the largest in the thalamus (22.2% +/- 8.6% and 22.4% +/- 6.9%) and occipital cortex (19% +/- 8.9% and 21.8% +/- 8.9%). Relative metabolic measures were highly reproducible both for pharmacologic and replication condition. CONCLUSION: This study measured the test-retest reproducibility in regional brain metabolic responses, and although the global and regional metabolic values were significantly lower for the repeated evaluation, the response to lorazepam was highly reproducible.[1]References
- Reproducibility of regional brain metabolic responses to lorazepam. Wang, G.J., Volkow, N.D., Overall, J., Hitzemann, R.J., Pappas, N., Pascani, K., Fowler, J.S. J. Nucl. Med. (1996) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Use
