Individuals with systolic dysfunction congestive heart failure may have decreased neuronal density, decreased neuronal function (reuptake or retention of norepinephrine), or a combination of these, plus reduction in postsynaptic beta-receptor density. Cardiac neuronal distribution and function can be imaged with standard gamma cameras and PET using radiolabeled analogs of norepinephrine. Postsynaptic beta-adrenergic receptor distribution and density can be determined using PET. Multiple imaging studies of the presynaptic component have reported that those individuals with the lowest retention or fastest washout of the radiolabeled analogs have a much greater annual mortality than do those with greater retention or slower washout rate. The results of some studies have suggested that the image abnormalities are better predictors of death than are more common predictors of outcome such as ejection fraction, heart rate variability, and microvolt T-wave alternans. The variability between these studies makes it unclear which measure of presynaptic dysfunction is the most predictive. beta-Receptor imaging has not been evaluated as extensively as a prognostic tool as has presynaptic imaging. Preliminary data suggest that regional mismatch between beta-receptors and presynaptic norepinephrine transporter function may serve as a marker for adverse outcome.