Simon Kaller1, Michael Rullmann1,2, Marianne Patt1, Georg-Alexander Becker1, Julia Luthardt1, Johanna Girbardt2, Philipp M Meyer1, Peter Werner1, Henryk Barthel1, Anke Bresch1, Thomas H Fritz2,3, Swen Hesse4,5, Osama Sabri1. 1. Department of Nuclear Medicine, University of Leipzig, Liebigstrasse 18, D-04103, Leipzig, Germany. 2. Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. 3. Institute for Psychoacoustics and Electronic Music (IPEM), University of Gent, Technicum Blok 2, Sint-Pietersnieuwstraat 41, 9000, Ghent, Belgium. 4. Department of Nuclear Medicine, University of Leipzig, Liebigstrasse 18, D-04103, Leipzig, Germany. swen.hesse@medizin.uni-leipzig.de. 5. Integrated Research and Treatment Centre (IFB) Adiposity Diseases, Leipzig University Medical Centre, Leipzig, Germany. swen.hesse@medizin.uni-leipzig.de.
Abstract
PURPOSE: The role of dopamine D1-type receptor (D1R)-expressing neurons in the regulation of motivated behavior and reward prediction has not yet been fully established. As a prerequisite for future research assessing D1-mediated neuronal network regulation using simultaneous PET/MRI and D1R-selective [11C]SCH23390, this study investigated the stability of central D1R measurements between two independent PET/MRI sessions under baseline conditions. METHODS: Thirteen healthy volunteers (7 female, age 33 ± 13 yrs) underwent 90-min emission scans, each after 90-s bolus injection of 486 ± 16 MBq [11C]SCH23390, on two separate days within 2-4 weeks using a PET/MRI system. Parametric images of D1R distribution volume ratio (DVR) and binding potential (BPND) were generated by a multi-linear reference tissue model with two parameters and the cerebellar cortex as receptor-free reference region. Volume-of-interest (VOI) analysis was performed with manual VOIs drawn on consecutive transverse MRI slices for brain regions with high and low D1R density. RESULTS: The DVR varied from 2.5 ± 0.3 to 2.9 ± 0.5 in regions with high D1R density (e.g. the head of the caudate) and from 1.2 ± 0.1 to 1.6 ± 0.2 in regions with low D1R density (e.g. the prefrontal cortex). The absolute variability of the DVR ranged from 2.4% ± 1.3% to 5.1% ± 5.3%, while Bland-Altman analyses revealed very low differences in mean DVR (e.g. 0.013 ± 0.17 for the nucleus accumbens). Intraclass correlation (one-way, random) indicated very high agreement (0.93 in average) for both DVR and BPND values. Accordingly, the absolute variability of BPND ranged from 7.0% ± 4.7% to 12.5% ± 10.6%; however, there were regions with very low D1R content, such as the occipital cortex, with higher mean variability. CONCLUSION: The test-retest reliability of D1R measurements in this study was very high. This was the case not only for D1R-rich brain areas, but also for regions with low D1R density. These results will provide a solid base for future joint PET/MRI data analyses in stimulation-dependent mapping of D1R-containing neurons and their effects on projections in neuronal circuits that determine behavior.
PURPOSE: The role of dopamine D1-type receptor (D1R)-expressing neurons in the regulation of motivated behavior and reward prediction has not yet been fully established. As a prerequisite for future research assessing D1-mediated neuronal network regulation using simultaneous PET/MRI and D1R-selective [11C]SCH23390, this study investigated the stability of central D1R measurements between two independent PET/MRI sessions under baseline conditions. METHODS: Thirteen healthy volunteers (7 female, age 33 ± 13 yrs) underwent 90-min emission scans, each after 90-s bolus injection of 486 ± 16 MBq [11C]SCH23390, on two separate days within 2-4 weeks using a PET/MRI system. Parametric images of D1R distribution volume ratio (DVR) and binding potential (BPND) were generated by a multi-linear reference tissue model with two parameters and the cerebellar cortex as receptor-free reference region. Volume-of-interest (VOI) analysis was performed with manual VOIs drawn on consecutive transverse MRI slices for brain regions with high and low D1R density. RESULTS: The DVR varied from 2.5 ± 0.3 to 2.9 ± 0.5 in regions with high D1R density (e.g. the head of the caudate) and from 1.2 ± 0.1 to 1.6 ± 0.2 in regions with low D1R density (e.g. the prefrontal cortex). The absolute variability of the DVR ranged from 2.4% ± 1.3% to 5.1% ± 5.3%, while Bland-Altman analyses revealed very low differences in mean DVR (e.g. 0.013 ± 0.17 for the nucleus accumbens). Intraclass correlation (one-way, random) indicated very high agreement (0.93 in average) for both DVR and BPND values. Accordingly, the absolute variability of BPND ranged from 7.0% ± 4.7% to 12.5% ± 10.6%; however, there were regions with very low D1R content, such as the occipital cortex, with higher mean variability. CONCLUSION: The test-retest reliability of D1R measurements in this study was very high. This was the case not only for D1R-rich brain areas, but also for regions with low D1R density. These results will provide a solid base for future joint PET/MRI data analyses in stimulation-dependent mapping of D1R-containing neurons and their effects on projections in neuronal circuits that determine behavior.
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