Suppr超能文献

使用[18F]法利哌啶正电子发射断层扫描技术对人类纹状体和纹状体以外区域的基线多巴胺D2受体占有率进行评估。

Estimation of baseline dopamine D2 receptor occupancy in striatum and extrastriatal regions in humans with positron emission tomography with [18F] fallypride.

作者信息

Riccardi Patrizia, Baldwin Ron, Salomon Ronald, Anderson Sharlet, Ansari Mohammad S, Li Rui, Dawant Benoit, Bauernfeind Amy, Schmidt Dennis, Kessler Robert

机构信息

Department of Radiology, Vanderbilt University, Nashville, Tennessee 37232-2675, USA.

出版信息

Biol Psychiatry. 2008 Jan 15;63(2):241-4. doi: 10.1016/j.biopsych.2007.03.022. Epub 2007 Jun 27.

Abstract

BACKGROUND

This study examined whether positron emission tomography (PET) studies with [18F] fallypride performed before and after alpha-methyl-para-tyrosine (AMPT) administration can be used to estimate baseline dopamine (DA) D2 receptor occupancy in striatal and extrastriatal regions.

METHODS

Six normal subjects underwent PET with [18 F] fallypride before and after administration of AMPT. The DA D2 receptor binding potentials (bp) were calculated with the reference region method. Percent changes in bp in striatal and extrastriatal regions were calculated with both region-of-interest analysis and on a voxel by voxel basis with parametric images of DA D2 receptor levels.

RESULTS

The results of the current study indicate that AMPT treatment significantly increased the bp in the caudate, putamen, ventral striatum, and substantia nigra. A trend level increase was seen in the medial thalamus.

CONCLUSIONS

This study demonstrates that PET with [18F] fallypride can be used to estimate baseline DA D2 receptor occupancy in striatal and extrastriatal regions.

摘要

背景

本研究探讨了在给予α-甲基-对酪氨酸(AMPT)前后进行的[18F]法利哌德正电子发射断层扫描(PET)研究是否可用于估计纹状体和纹状体以外区域的基线多巴胺(DA)D2受体占有率。

方法

6名正常受试者在给予AMPT前后接受了[18F]法利哌德PET检查。采用参考区域法计算DA D2受体结合电位(bp)。通过感兴趣区分析以及使用DA D2受体水平参数图像逐体素计算纹状体和纹状体以外区域bp的百分比变化。

结果

本研究结果表明,AMPT治疗显著增加了尾状核、壳核、腹侧纹状体和黑质的bp。在内侧丘脑观察到有上升趋势。

结论

本研究表明,[18F]法利哌德PET可用于估计纹状体和纹状体以外区域的基线DA D2受体占有率。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验