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Open AccessJournal ArticleDOI

Kinetic Modeling of the Serotonin 5-HT1B Receptor Radioligand [11C]P943 in Humans

TLDR
The results show that [11C]P943 provides quantitative measurements of 5-HT1B binding potential, and the MRTM2 model provided the best correlation with MA1 binding-potential estimates.
Abstract
[ 11 C]P943 is a new radioligand recently developed to image and quantify serotonin 5-Hydroxytryptamine (5-HT1B) receptors with positron emission tomography (PET). The purpose of this study was to evaluate [ 11 C]P943 for this application in humans, and to determine the most suitable quantification method. Positron emission tomography data and arterial input function measurements were acquired in a cohort of 32 human subjects. Using arterial input functions, compartmental modeling, the Logan graphical analysis, and the multilinear method MA1 were tested. Both the two tissue-compartment model and MA1 provided good fits of the PET data and reliable distribution volume estimates. Using the cerebellum as a reference region, BPND binding potential estimates were computed. [ 11 C]P943 BPND estimates were significantly correlated with in vitro measurements of the density of 5-HT1B receptors, with highest values in the occipital cortex and pallidum. To evaluate noninvasive methods, two- and three-parameter graphical analyses, Simplified Reference Tissue Models (SRTM and SRTM2), and Multilinear Reference Tissue Models (MRTM and MRTM2) were tested. The MRTM2 model provided the best correlation with MA1 bindingpotential estimates. Parametric images of the volume of distribution or binding potential of [ 11 C]P943 could be computed using both MA1 and MRTM2. The results show that [ 11 C]P943 provides

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Journal ArticleDOI

Brain serotonergic circuitries

TL;DR: The neuroanatomy and neurochemistry of brain serotonergic circuitries are described and it is argued that the specificity of the local chemocommunication between5-HT and other neuronal elements mainly depends on mechanisms regulating the extracellular concentration of 5-HT, the diversity of high-affinity membrane receptors, and their specific transduction modalities.
Journal ArticleDOI

5-HT radioligands for human brain imaging with PET and SPECT.

TL;DR: The development of PET and SPECT radioligands to image serotonergic targets is of high interest, and successful evaluation in humans is leading to invaluable insight into normal and abnormal brain function, emphasizing the need for continued development of both SPECT and PET radiolIGands for human brain imaging.
Journal ArticleDOI

Measuring endogenous 5-HT release by emission tomography: promises and pitfalls.

TL;DR: Suggestions are made as to how the selection of targets, radiotracers, challenge paradigms, and experimental design might be optimised to improve the chances of successfully imaging endogenous neurotransmitters in the future.
Journal ArticleDOI

Reduced ventral striatal/ventral pallidal serotonin1B receptor binding potential in major depressive disorder.

TL;DR: The findings suggest abnormally reduced function of VS/VP 5-HT1B receptors in humans with MDD, which may contribute to dysfunctional reward signaling within the striatum, including the nucleus accumbens, via interaction with dopamine, γ-amino-butyric acid, or glutamate systems.
Journal ArticleDOI

Normative database of the serotonergic system in healthy subjects using multi-tracer PET

TL;DR: 3 receptor subtypes are quantified, including the major inhibitory and excitatory 5-HT(1A) and 5- HT(1B) receptors, and the transporter (5-HTT) in the brain of healthy human subjects to provide a database of standard values to improve the interpretation of the alterations taking place in the serotonergic system during neuropsychiatric disorders.
References
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Journal ArticleDOI

Simplified Reference Tissue Model for PET Receptor Studies

TL;DR: The reference tissue model allows for quantification of receptor kinetics without measuring the arterial input function, thus avoiding arterial cannulation and time-consuming metabolite measurements, and for the ligands tested the three-parameter model is a better choice, combining increased convergence rate with increased stability.
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