Mathematical And Statistical Analysis Techniques For In

National Institute Of Mental Health

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Abstract

Changes in images of brain functional activity that are produced by disease or by activation of various pathways in the normal brain can only be unambiguously interpreted if the rates of the physiological and biochemical processes that underlie the imaging method are quantified. In imaging modalities that use radioactive tracers, e.g. positron emission tomography (PET), quantification is carried out by means of a mathematical model that describes the rates of the biochemical reactions in the metabolic pathway of the tracer and traced molecules. Selection of the best kinetic model is critical as the use of an inappropriate model can lead to substantial errors in quantification and possible misinterpretation of results. Once a model is selected, numerical procedures that are efficient, robust, and require minimal assumptions about the errors in the measurements are required to estimate accurately the parameters. Additionally, powerful statistical tests are needed so that the data can be examined for significant differences among experimental groups. The objective of this project is to develop better techniques for addressing these interrelated mathematical and statistical issues; advances in the current year were made in the following areas: (1) Work on kinetic analyses required for adapting the quantitative autoradiographic 14C-leucine method for determination of regional rates of cerebral protein synthesis for use in man with L-[1-11C]leucine and PET has been transferred to project MH000889. (2) Work continued on the development of kinetic analyses for determination of regional rates of cerebral glucose metabolism (rCMRglc) in rats with 2-[18F]fluoro-2-deoxyglucose (FDG) and a small animal PET scanner. An approach was developed to minimize sensitivity to the effects of functional tissue heterogeneity, i.e., inclusion of tissues with different rates of blood flow and metabolism within a single voxel or region of interest. Heterogeneity is an especially acute problem in these studies due to the limited spatial resolution of the PET scanner relative to the size of the rodent brain structures examined; failure to take it into account leads to estimates of kinetic model rate constants and rCMRglc that decline with time and approach their true values only after the free FDG in all tissues within the region have equilibrated with the FDG in the arterial plasma. Additional experiments to extend scanning time to 90 minutes were carried out to ascertain whether stable estimates of rate constants and rCMRglc are achieved during the experimental interval. Analyses of the extended time data are underway. (3) Work continued to develop mathematical techniques for analyzing muscarinic receptor density in rats studied with a small animal PET scanner following injection of 18F labeled 3-(3-(3-fluoropropyl)thio)-1,2,5,thiadiazol-4-yl)-1,2,5,6-tetrahydro-1-methylpyridine ([18F]FP-TZTP). Experiments are underway to compare total volumes of distribution of the tracer determined with either bolus injection or continuous infusion of the tracer, and to evaluate the reproducibility and robustness of these measures. (4) Work was initiated to develop mathematical techniques for analyzing serotonin 5HT1A receptor density in rats studied with a small animal PET scanner during a continuous infusion of the 5HT1A receptor antagonist 4-[18F]-fluoro-N-{2-[4-(2-methoxyphenyl)-1-piperazinyl]ethyl}-N-(2-pyrimidinyl)benzamide ([18F]FP-WAY).