Estimation from PET data of transient changes in dopamine concentration induced by alcohol: support for a non-parametric signal estimation method

• Published in: Physics in medicine & biology 2008-03, Vol.53 (5), p.1353-1367
• Main Authors: Constantinescu, C C, Yoder, K K, Kareken, D A, Bouman, C A, O'Connor, S J, Normandin, M D, Morris, E D
• Format: Article
• Language: English
• Subjects: Adult; Alcohols - pharmacology; Basal Ganglia - diagnostic imaging; Basal Ganglia - drug effects; Basal Ganglia - metabolism; Dopamine - metabolism; Humans; Male; Models, Biological; Positron-Emission Tomography - methods; Reproducibility of Results; Signal Processing, Computer-Assisted; Time Factors
• ISSN: 0031-9155; 1361-6560
• DOI: 10.1088/0031-9155/53/5/012

We previously developed a model-independent technique (non-parametric ntPET) for extracting the transient changes in neurotransmitter concentration from paired (rest & activation) PET studies with a receptor ligand. To provide support for our method, we introduced three hypotheses of validation based on work by Endres and Carson (1998 J. Cereb. Blood Flow Metab. 18 1196-210) and Yoder et al (2004 J. Nucl. Med. 45 903-11), and tested them on experimental data. All three hypotheses describe relationships between the estimated free (synaptic) dopamine curves (FDA(t)) and the change in binding potential (DeltaBP). The veracity of the FDA(t) curves recovered by nonparametric ntPET is supported when the data adhere to the following hypothesized behaviors: (1) DeltaBP should decline with increasing DA peak time, (2) DeltaBP should increase as the strength of the temporal correlation between FDA(t) and the free raclopride (FRAC(t)) curve increases, (3) DeltaBP should decline linearly with the effective weighted availability of the receptor sites. We analyzed regional brain data from 8 healthy subjects who received two [11C]raclopride scans: one at rest, and one during which unanticipated IV alcohol was administered to stimulate dopamine release. For several striatal regions, nonparametric ntPET was applied to recover FDA(t), and binding potential values were determined. Kendall rank-correlation analysis confirmed that the FDA(t) data followed the expected trends for all three validation hypotheses. Our findings lend credence to our model-independent estimates of FDA(t). Application of nonparametric ntPET may yield important insights into how alterations in timing of dopaminergic neurotransmission are involved in the pathologies of addiction and other psychiatric disorders.