Open Access

Advanced brain dopamine transporter imaging in mice using small-animal SPECT/CT

  • Miia Pitkonen1,
  • Eero Hippeläinen2, 5,
  • Mari Raki1,
  • Jaan-Olle Andressoo3,
  • Arto Urtti1,
  • Pekka T Männistö4,
  • Sauli Savolainen5,
  • Mart Saarma3 and
  • Kim Bergström1Email author
Contributed equally
EJNMMI Research20122:55

DOI: 10.1186/2191-219X-2-55

Received: 27 June 2012

Accepted: 14 September 2012

Published: 29 September 2012



Iodine-123-β-CIT, a single-photon emission computed tomography (SPECT) ligand for dopamine transporters (DATs), has been used for in vivo studies in humans, monkeys, and rats but has not yet been used extensively in mice. To validate the imaging and analysis methods for preclinical DAT imaging, wild-type healthy mice were scanned using 123I-β-CIT.


The pharmacokinetics and reliability of 123I-β-CIT in mice (n = 8) were studied with a multipinhole SPECT/CT camera after intravenous injection of 123I-β-CIT (38 ± 3 MBq). Kinetic imaging of three mice was continued for 7 h postinjection to obtain the time-activity curves in the striatum and cerebellum volumes. Five mice had repeated measures 4 h post-123I-β-CIT injection to provide an indication of test-retest reliability. The same five mice served as a basis for a healthy mean SPECT template.


Specific binding of 123I-β-CIT within the mouse striatum could be clearly visualized with SPECT. The kinetics of 123I-β-CIT was similar to that in previously published autoradiography studies. Binding potential mean values of the test-retest studies were 6.6 ± 15.7% and 6.6 ± 4.6%, respectively, and the variability was 9%. The SPECT template was aggregated from the first and second imaging of the test-retest animals. No significant difference between the templates (P > 0.05) was found. From the test template, a striatal volume of 22.3 mm3 was defined.


This study demonstrates that high-resolution SPECT/CT is capable of accurate, repeatable, and semiquantitative measurement of 123I-β-CIT DAT binding in the mouse brain. This methodology will enable further studies on DAT density and neuroprotective properties of drugs in mice.


SPECT/CT Dopamine transporters 123I β-CIT Tracer kinetics


Previously, sensitivity and resolution of the single-photon emission computed tomography (SPECT) system have been challenges in small-animal imaging. Currently, the scanning time can be kept short enough to enable dynamic acquisitions, due to the high level of detection efficiency and excellent spatial resolution obtained by multipinholes [1]. Here, we examined the feasibility of dual-modality-dedicated small-animal SPECT/computed tomography (CT) in submillimeter brain structures and the advantage of dynamic acquisitions.

Parkinson's disease (PD) is characterized by the progressive degeneration of nigrostriatal dopaminergic neurons. This neurodegenerative process is associated with a loss of striatal dopamine transporters (DATs) [2, 3]. In vivo measurement of DAT density with SPECT is an early marker of dopaminergic cell loss in subjects with PD [46]. 123I-2β-carbomethoxy-3β-(4-iodophenyl)tropane (123I-β-CIT), a SPECT ligand for DATs, has not yet been validated in mice, which are frequently induced to model several diseases. Previous mouse studies are ex vivo autoradiography works [79], in which follow-up of the same animals was not possible and test-retest measurement was disabled. Whereas, Mochizuki et al. used a simple probe system offering only a single projection and therefore cannot differentiate between the brain structures [10]. However, the full benefit of small-animal imaging can only be achieved by in vivo quantification of radiotracers that enable the following of physiological processes over time in the same animal. In rats, such quantification has been performed using clinical gamma cameras [11, 12]. The latest work was executed with a modern small-animal multipinhole SPECT by taking static images of the mouse brain [13]. In that work, the used DAT tracer was 123I-2β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl)nortropane (FP-CIT; DatScan, GE Healthcare Inc., Waukesha, WI, USA), which is divergent from 123I-β-CIT, as will be discussed later in this chapter. The aim of our study was to determine the complimentary preclinical results since the kinetics between mice and rats may vary.

Absolute quantification of DATs in mice would require full kinetic modeling, with invasive arterial blood sampling and dynamic SPECT scanning. However, arterial blood sampling in mice is difficult, and other methods have been accepted for kinetic analysis [14, 15]. For 123I-labeled tracers, good correlation has been demonstrated using the semiquantitative index of the specific DAT binding, referred to as binding potential (BP). BP is a ratio of the specific to nonspecific binding of DATs (such as the striatum and cerebellum). BP is directly proportional to the density of DATs in the equilibrium state [14, 15]. We used BP to analyze the 123I-β-CIT ratios in the kinetics and test-retest studies of mice.

The 123I-β-CIT and FP-CIT are both clinically available and specific for use in PD diagnostics [16]. Here, we used 123I-β-CIT for several reasons: First, more rapid wash-up of the FP-CIT may cause underestimation of DAT density in patients [17]. Second, more rapid kinetics of FP-CIT in patients is even further accelerated in mice, which makes 123I-β-CIT more suitable for investigating disease models or pharmaceutical effects in mice. Third, with 123I-β-CIT, higher binding ratios have been reported in humans [17], which improve the signal-to-noise ratio in images acquired from the mouse brain.

To demonstrate the feasibility of the DAT tracer 123I-β-CIT in preclinical research in mice, we established the kinetics of the tracer with high-resolution SPECT/CT imaging. Furthermore, we validated the steady-state conditions of the tracer in the brain and evaluated the reproducibility of the method in test-retest measurements. Our second objective was to create a normal template to be used as a future reference frame for the coregistration and analysis of the mice with altered DAT production.


SPECT/CT system

SPECT/CT imaging was performed using a preclinical four-headed gamma camera with integrated CT system and dedicated multipinhole collimators, comprising in all 36 1.0-mm pinholes (nanoSPECT/CT, Bioscan Inc., Washington, DC, USA). The manufacturer states that the sensitivities of the pinhole collimators are >1,200 counts per second (cps)/MBq, with a maximum resolution of ≤0.75 mm. The scanning mode is helical for both modalities.

Phantom studies

The spatial resolution of the system was verified for 123I, using a Jaszczak phantom with hot rods ranging from 0.7 to 1.2 mm (Bioscan Inc., Washington, D.C., USA). The phantom was filled with 75 MBq of 123I-NaI (MAP Medical Technologies Oy, Tikkakoski, Finland), and the images were acquired in 32 projections, using 150 s per gantry position. The imaged data were reconstructed with HiSPECT NG software (Scivis GmbH, Göttingen, Germany).


The animal experiments were reviewed and approved by the Finnish National Animal Experiment Board and performed in accordance with Good Laboratory Practices for Animal Research. Triple-mixed genetic background 129Ola/C57BL/6/ICR mice were backcrossed once to the 129Ola line, and 4-month-old male progenies were used in the SPECT experiments. The animals were maintained under isoflurane inhalation anesthesia during radiotracer administration and imaging. Under anesthesia, body temperature of the animals was maintained using a heated animal bed (37°C) (Minerve, France), during imaging, and with a heating pad under the cage, between imaging sessions.

SPECT/CT imaging

All mice (n = 8) received 34 to 41 MBq of 123I-β-CIT (MAP Medical Technologies Oy) in <200 μl intravenously. Kinetics study mice (n = 3) received 34 to 41 MBq of 123I-β-CIT. The test-retest mice received 1.12 ± 0.08 MBq/g body weight (b.wt.) and 0.94 ± 0.07 MBq/g b.wt., respectively.

At the early time points (from 20 min to 2 h 30 min) of the kinetics experiments (n = 3), the data were acquired dynamically with a scanning length of 15 min (angular step 15°, 24 projections, 150 s per gantry position). At the late time points (at 4 h and 7 h), the scanning length was 25 min (angular step 15°, 24 projections, 250 s per gantry position). In all, 11 time points were collected from the mice. The data were acquired in a 128 × 128 matrix with pixel size and a slice thickness of 0.2 mm.

CT was acquired at 20 min and later at 4 and 7 h. The CT parameters used in the present work were as follows: 180 projections, pixel size of 192 × 192 μm, X-ray source of 45 kVp, and exposure time of 500 ms. Helical scanning is used by both modalities and is performed by moving the animal through the SPECT and CT.

In the test-retest experiment (n = 5), the mice were imaged 4 h postinjection, which was confirmed to be the equilibrium time point in the kinetics study. The same animals went through the same protocol after 8 days. The same SPECT protocol was used as described for the late time points in the kinetics experiment.

Data analysis: kinetics experiment

The data were reconstructed in the system's dedicated reconstruction program with an iterative reconstruction algorithm, resulting in a voxel size of 0.3 mm. After image reconstruction, the images were straightened and analyzed using InVivoScope software (Bioscan Inc.). Straightening of the images was assisted by the CT images. To avoid the variability of the slice selection and to gain statistical power, we used the entire striatum volume for the analysis. Time-activity curves were obtained from the kinetics data by manually delineating the volumes of interest (VOIs). At each time point, the VOIs were drawn over specific (striatal) and nonspecific (cerebellar) brain structures, and the mean counts in these two areas were measured against time. From the mean values obtained, we calculated the BP, which represents the ratio of the distribution volumes of the specifically and the nonspecifically bound compartment.

Data analysis: test-retest experiment

Following data reconstruction, the images were first manually straightened and converted from Dicom to the Analyze format [18] and further processed in Vinci (S. Vollmar et al., Cologne, Germany) [19]. In Vinci, the images were first masked to remove the eyes and other possible high-uptake areas external to the brain. Then, all the images were normalized individually using the average value of the voxels within 95% of the maximum count value in the striatal volume. Finally, both time points were registered to the SPECT template (see below), which served as a reference space and defined the VOIs. The mean count density per pixel in each region was calculated and corrected for the effects of decay. The test-retest variability was calculated as the absolute difference of two measurements divided by the mean of two measurements as a percentage. Comparison between the test and retest time points was achieved by the Wilcoxon signed rank test.

Creation of template

Two separate templates were aggregated from the test and retest mice groups. The images were first manually straightened, masked, and normalized to 95% of the maximum count value. Secondly, the images were spatially coregistered using an affine transformation algorithm with mutual information as a similarity measure for registrations. Then, the average and standard deviation templates were calculated using the spatial- and count-normalized images. Finally, the anatomical areas were confirmed by coregistering the SPECT template to an available magnetic resonance imaging (MRI) brain template [20]. Comparison between the test and retest templates was achieved by voxel-by-voxel t test.


SPECT imaging of phantom

Prior to the animal studies, we evaluated the performance of the scanner for spatial resolution. Under the conditions of high radioactivity (75 MBq), acquisition time (20 min), and reconstruction parameters for fine image quality, the resolution was superior. Figure 1 shows the SPECT images and their count profile curves of the Jaszczak phantom filled with 123I-Na, yielding an excellent spatial resolution with good visualization of hot rods as thin as 0.8 mm.
Figure 1

Jaszczak phantom. The spatial resolution of the system was verified for 123I, using a Jaszczak phantom with hot rods ranging from 0.7 to 1.2 mm. Images were acquired in 32 projections, using 150 s per gantry position. Jaszczak phantom, filled with 75 MBq of 123I-Na, demonstrates the spatial resolution of the system. The red line in the SPECT image (a) represents the area where the count profile curve (b) is captured. The 0.8-mm hot rods are clearly detectable.

SPECT template

Templates were compared using voxel-by-voxel t test, and no significant differences were found between test and retest. Figure 2 shows the outcome of coregistration between the created SPECT template and MRI template. The anatomical areas seem to be equivalent between SPECT and MRI (Figure 2).
Figure 2

Coregistered template. In building the template, the anatomical areas are confirmed by coregistering the template to an available MRI brain template [20]. Coregistration is visualized so that SPECT is in color and MRI is in gray scale.

In the individual animals and the template, the anatomical volume of the striatum was estimated by several thresholds from the maximum intensity of the structure (Figure 3). From the template, we obtained a striatal volume of approximately 22.3 mm3 by choosing a threshold of 50% of the maximum intensity of the striatum (Figure 3). When performing the same analysis for individual animals, we obtained a striatal volume of 17.2 mm3 ± 20% (Figure 3).
Figure 3

Striatal volumes. Mice (n = 5) received 1.12 ± 0.08 MBq/g b.wt. of 123I-β-CIT. They were imaged 4 h postinjection, and scanning length was 25 min (angular step 15°, 24 projections, 250 s per gantry position). The data were acquired in a 128 × 128 matrix with pixel size and a slice thickness of 0.2 mm. The anatomical volume of the striatum was estimated by several thresholds from the maximum intensity of the structure. A striatal volume was measured for the template and individual mice by choosing a threshold of 50% of the maximum intensity of the striatum (vertical line), which resulted as a striatal volume of 22.3 mm3 and 17.2 mm3 ± 20%, respectively.

Dopaminergic terminals are present at high density in the striatum but are less dense in the cerebellum, which makes delineation of the nonspecific uptake area very difficult. Thus, the cerebellar VOI was chosen to consist of only part of the cerebellum (13.3 mm3) to avoid delineation of those areas that consist of counts due to scattered or partial volume effects. Meanwhile, the cerebellar volume should be sufficiently large to gain enough statistics for calculation of a reliable BP.

Kinetics study of mice

In the kinetics experiment, a total of 11 time points were imaged, starting at 20 min and ending at 7 h postinjection (Figure 4a). In the striatum, the amount of activity increased gradually and peaked at approximately 2 to 3 h (Figure 4b). After 4 h, the striatum uptake washed out gradually. The nonspecific binding area, the cerebellum, showed no binding and half of the activity dissipated in 2.5 h. The ratio of the specific binding value of 123I-β-CIT to nonspecific uptake, BP, became constant 2 h postinjection (Figure 4c). After 4 h, BP shows a gradual increase. Symmetrical striatal binding was visible in the SPECT images at 4 h postinjection (Figure 4a). Harder's glands showed radioactivity uptake (Figure 4a).
Figure 4

Kinetics experiment data. Mice (n = 8) received 34 to 41 MBq of 123I-β-CIT. At the early time points (from 20 min to 2 h 30 min) post-tracer injection, the data were acquired dynamically with a scanning length of 15 min (angular step 15°, 24 projections, 150 s per gantry position). At the late time points (at 4 h and 7 h), the scanning length was 25 min (angular step 15°, 24 projections, 250 s per gantry position). The data were acquired in a 128 × 128 matrix with pixel size and a slice thickness of 0.2 mm. In all, 11 time points were imaged (a). Time-activity curves were obtained from the kinetic data by manually delineating the VOI (b). At each time point, the VOIs were drawn over specific (striatal) and nonspecific (cerebellar) brain structures, and the mean counts in these two areas were measured against time. Specific-to-nonspecific BP was calculated (c).

Test-retest study

In the test-retest study, the 4-h time point was set as the acquisition time, based on the kinetics experiment. The same animals followed the same protocol after 8 days. The individual BP values obtained from each mouse are shown in Figure 5. The mean BP values of the test-retest studies were 6.6 ± 15.7% and 6.6 ± 4.6% (mean ± relative standard error), respectively, and these measures did not differ statistically from each other (P = 0.968). The test-retest variability was 9%.
Figure 5

Binding potential values. The test and retest mice (n = 5) received 1.12 ± 0.08 MBq/g b.wt. and 0.94 ± 0.07 MBq/g b.wt. of 123I-β-CIT, respectively. Mice were imaged with the equivalent protocol in the test and retest time points; scanning length was 25 min (angular step 15°, 24 projections, 250 s per gantry position). The data were acquired in a 128 × 128 matrix with pixel size and a slice thickness of 0.2 mm. Individual BP values were obtained at 4 h postinjection on each of the five mice at both test and retest (8 days later), with the corresponding mean and standard deviation. The test-retest measurements were insignificantly different (P = 0.968).


The primary aim of this study was to demonstrate that small-animal SPECT/CT imaging is capable of measuring DAT density. We validated a DAT-binding imaging protocol for the mouse brain, using 123I-β-CIT. To our knowledge, the present study is the first to demonstrate the 3D kinetics of 123I-β-CIT in mice, using SPECT/CT imaging.

The SPECT/CT used was equipped with four collimators and apertures, each with nine 1-mm pinholes, resulting in high counting rates. The resolution for the camera was in the submillimeter range; Jaszczak phantom imaging showed that we can reliably image the mouse striatum.

From the template, we obtained a striatal volume of approximately 22.3 mm3 with a threshold of 50% of the maximum intensity of the striatum. Similar striatal volumes have been reported in equivalent strains [21]. At the same threshold, we obtained a striatal volume of 17.2 mm3 ± 20%. In Figure 3, the striatal volume is shown as a function of thresholds in individuals and the template. The striatal volume increases until it becomes stable at approximately 50% to 60% of the maximum activity. The phenomenon was found in both cases (Figure 3). For threshold values higher than 60%, the volume spreads outside the striatal volumes, into other parts of the brain. The higher striatal volume in the template is due to individual variation, coregistration, and averaging. This comparison indicates that the template represents data in healthy mice well and that no coregistration or technical problems occurred. Further, we compared the templates created from the first and second imaging of the test-retest study and found no significant difference. This result demonstrates that our method has good repeatability. In future works, we will address individual variation in striatal structures and minimize the processing steps needed using the template.

In the present study, we report the kinetics of the 123I-β-CIT tracer in the striatum and cerebellum. As indicated earlier, the quantitative validity of the BP method (striatal to background brain region ratio) depends on the achievement of steady levels of activity in these regions [17]. As shown in Figure 4b, 3 h postinjection, there is parallel washout in cerebellum and striatal volumes. Thus, BP analysis can be considered valid 4 h post-123I-β-CIT injection in the mouse brain. These results agree with the earlier autoradiography works [79]. However, our results show moderate increase in BP, which is evident at the 7-h imaging point. This might be due to the individual kinetics of mice and also because of low statistics in the cerebellum volume. To resolve this, further kinetic studies should be performed at late imaging points.

We used BP to perform semiquantitative analysis of dopaminergic neurotransmission post-123I-β-CIT injection. BP increased over the time period followed, similar to previous rat studies with SPECT [11, 12] and autoradiography work with both rats [22] and mice [79]. In healthy human subjects, the evolvement of BP is similar, differing only by time scale [23, 24], due to the slower metabolism of humans compared with mice. In the present work, 4 h postinjection was a suitable time point for use in the test-retest study, which is equivalent to 20 to 24 h in human patients [23, 24].

In the test-retest study, one of the five animals showed a clearly larger variation among BPs, which probably resulted from unsuccessful injection at either one of the time points. The variability between test and retest was clearly better than that in healthy human subjects [25, 26], which shows that our method has good test-retest reproducibility. Such improvement was expected, due to the better sensitivity and resolution of the small-animal SPECT instrument compared with clinical systems.

Successful validation of the imaging protocol and establishment of the template will help to reduce the number of control mice needed for the experiments and will further reduce the overall costs and time needed. The template created here will be further used as a reference to differentiate between normal and genetically modified mouse DAT densities. Also, we are planning to extend the template to include serotonin transporters. In present and future works, the template will offer a reference for coregistration and will take into account the variance between individuals in the VOI analysis. Furthermore, correct and repeatable delineation of VOIs is needed to gain enough statistical power because the targets are submillimeter in size. Herein, we focused on certain VOIs, but the template may also be used in voxel-by-voxel analysis.


We have demonstrated explicitly that high-resolution, multipinhole SPECT/CT of mice is capable of accurate, repeatable, and semiquantitative measurement of DAT binding, using 123I-β-CIT. This methodology should increase the opportunities for further study of cerebral binding sites, especially in mice.




The work was supported by Tekes project ‘SPECT/CT in preclinical drug research.’ We thank Mari Rissanen for technical assistance.

Authors’ Affiliations

Centre for Drug Research, Faculty of Pharmacy, University of Helsinki
HUS Medical Imaging Center, Helsinki University Central Hospital
Institute of Biotechnology, University of Helsinki
Division of Pharmacology and Toxicology, Faculty of Pharmacy, University of Helsinki
Department of Physics, University of Helsinki


  1. Acton PD, Choi SR, Plossl K, Kung HF: Quantification of dopamine transporters in the mouse brain using ultra-high resolution single-photon emission tomography. Eur J Nucl Med Mol Imaging 2002, 29: 691–698. 10.1007/s00259-002-0776-7PubMedView ArticleGoogle Scholar
  2. Kaufman MJ, Madras BK: Severe depletion of cocaine recognition sites associated with the dopamine transporter in Parkinson's-diseased striatum. Synapse 1991, 9: 43–49. 10.1002/syn.890090107PubMedView ArticleGoogle Scholar
  3. Niznik HB, Fogel EF, Fassos FF, Seeman P: The dopamine transporter is absent in parkinsonian putamen and reduced in the caudate nucleus. J Neurochem 1991, 56: 192–198. 10.1111/j.1471-4159.1991.tb02580.xPubMedView ArticleGoogle Scholar
  4. Guttman M, Burkholder J, Kish SJ, Hussey D, Wilson A, DaSilva J, Houle S: [11C]RTI-32 PET studies of the dopamine transporter in early dopa-naive Parkinson's disease: implications for the symptomatic threshold. Neurol 1997, 48: 1578–1583. 10.1212/WNL.48.6.1578View ArticleGoogle Scholar
  5. Winogrodzka A, Bergmans P, Booij J, van Royen EA, Janssen AG, Wolters EC: [123I]FP-CIT SPECT is a useful method to monitor the rate of dopaminergic degeneration in early-stage Parkinson's disease. J Neural Transm 2001, 108: 1011–1019. 10.1007/s007020170019PubMedView ArticleGoogle Scholar
  6. Tissingh G, Booij J, Bergmans P, Winogrodzka A, Janssen AG, van Royen EA, Stoof JC, Wolters EC: Iodine-123-N-omega-fluoropropyl-2beta-carbomethoxy-3beta-(4-iod ophenyl)tropane SPECT in healthy controls and early-stage, drug-naive Parkinson's disease. J Nucl Med 1998, 39: 1143–1148.PubMedGoogle Scholar
  7. Cline EJ, Scheffel U, Boja JW, Mitchell WM, Carroll FI, Abraham P, Lewin AH, Kuhar MJ: In vivo binding of [125I]RTI-55 to dopamine transporters: pharmacology and regional distribution with autoradiography. Synapse 1992, 12: 37–46. 10.1002/syn.890120105PubMedView ArticleGoogle Scholar
  8. Scheffel U, Dannals RF, Cline EJ, Ricaurte GA, Carroll FI, Abraham P, Lewin AH, Kuhar MJ: [123/125I]RTI-55, an in vivo label for the serotonin transporter. Synapse 1992, 11: 134–139. 10.1002/syn.890110206PubMedView ArticleGoogle Scholar
  9. Boja JW, Mitchell WM, Patel A, Kopajtic TA, Carroll FI, Lewin AH, Abraham P, Kuhar MJ: High-affinity binding of [125I]RTI-55 to dopamine and serotonin transporters in rat brain. Synapse 1992, 12: 27–36. 10.1002/syn.890120104PubMedView ArticleGoogle Scholar
  10. Mochizuki T, Mochizuki T, Villemagne VL, Scheffel U, Liu X, Musachio JL, Dannals RF, Wagner HN Jr: A simple probe measures the pharmacokinetics of [125I]RTI-55 in mouse brain in vivo. Eur J Pharmacol 1997, 338: 17–23. 10.1016/S0014-2999(97)01307-1PubMedView ArticleGoogle Scholar
  11. Scherfler C, Donnemiller E, Schocke M, Dierkes K, Decristoforo C, Oberladstatter M, Kolbitsch C, Zschiegner F, Riccabona G, Poewe W, Wenning G: Evaluation of striatal dopamine transporter function in rats by in vivo beta-[123I]-CIT pinhole SPECT. Neuroimage 2002, 17: 128–141. 10.1006/nimg.2002.1158PubMedView ArticleGoogle Scholar
  12. Laruelle M, Baldwin RM, Malison RT, Zea-Ponce Y, Zoghbi SS, al-Tikriti MS, Sybirska EH, Zimmermann RC, Wisniewski G, Neumeyer JL: SPECT imaging of dopamine and serotonin transporters with [123I]beta-CIT: pharmacological characterization of brain uptake in nonhuman primates. Synapse 1993, 13: 295–309. 10.1002/syn.890130402PubMedView ArticleGoogle Scholar
  13. Pissarek MB, Oros-Peusquens AM, Schramm NU: Challenge by the murine brain: multi-pinhole SPECT of 123I-labelled pharmaceuticals. J Neurosci Methods 2008, 168: 282–292. 10.1016/j.jneumeth.2007.10.011PubMedView ArticleGoogle Scholar
  14. Laruelle M, Giddings SS, Zea-Ponce Y, Charney DS, Neumeyer JL, Baldwin RM, Innis RB: Methyl 3 beta-(4-[125I]iodophenyl)tropane-2 beta-carboxylate in vitro binding to dopamine and serotonin transporters under "physiological" conditions. J Neurochem 1994, 62: 978–986.PubMedView ArticleGoogle Scholar
  15. Abi-Dargham A, Gandelman MS, DeErausquin GA, Zea-Ponce Y, Zoghbi SS, Baldwin RM, Laruelle M, Charney DS, Hoffer PB, Neumeyer JL, Innis RB: SPECT imaging of dopamine transporters in human brain with iodine-123-fluoroalkyl analogs of beta-CIT. J Nucl Med 1996, 37: 1129–1133.PubMedGoogle Scholar
  16. Kuikka JT, Bergstrom KA, Ahonen A, Hiltunen J, Haukka J, Lansimies E, Wang S, Neumeyer JL: Comparison of iodine-123 labelled 2 beta-carbomethoxy-3 beta-(4-iodophenyl)tropane and 2 beta-carbomethoxy-3 beta-(4-iodophenyl)-N-(3-fluoropropyl)nortropane for imaging of the dopamine transporter in the living human brain. Eur J Nucl Med 1995, 22: 356–360. 10.1007/BF00941854PubMedView ArticleGoogle Scholar
  17. Seibyl JP, Marek K, Sheff K, Zoghbi S, Baldwin RM, Charney DS, van Dyck CH, Innis RB: Iodine-123-beta-CIT and iodine-123-FPCIT SPECT measurement of dopamine transporters in healthy subjects and Parkinson's patients. J Nucl Med 1998, 39: 1500–1508.PubMedGoogle Scholar
  18. Nolf E: XMedCon - an open-source medical image conversion toolkit 1991.
  19. Vollmar S, Sué M, Krais R, Hohmann C, Hüsgen A: Max Planck Institute for Neurological Research (Cologne. Germany: Vinci 3).
  20. Johnson GA, Ali-Sharief A, Badea A, Brandenburg J, Cofer G, Fubara B, Gewalt S, Hedlund LW, Upchurch L: High-throughput morphologic phenotyping of the mouse brain with magnetic resonance histology. Neuroimage 2007, 37: 82–89. 10.1016/j.neuroimage.2007.05.013PubMedView ArticleGoogle Scholar
  21. Rosen GD, Williams RW: Complex trait analysis of the mouse striatum: independent QTLs modulate volume and neuron number. BMC Neurosci 2001, 2: 5. 10.1186/1471-2202-2-5PubMed CentralPubMedView ArticleGoogle Scholar
  22. Fujita M, Takatoku K, Matoba Y, Nishiura M, Kobayashi K, Inoue O, Nishimura T: Differential kinetics of [123I]beta-CIT binding to dopamine and serotonin transporters. Eur J Nucl Med 1996, 23: 431–436. 10.1007/BF01247372PubMedView ArticleGoogle Scholar
  23. Laruelle M, Wallace E, Seibyl JP, Baldwin RM, Zea-Ponce Y, Zoghbi SS, Neumeyer JL, Charney DS, Hoffer PB, Innis RB: Graphical, kinetic, and equilibrium analysis of in vivo [123I]beta-CIT binding to dopamine transporters in healthy human subjects. J Cereb Blood Flow Metab 1994, 14: 982–994. 10.1038/jcbfm.1994.131PubMedView ArticleGoogle Scholar
  24. Kim SE, Choi JY, Choe YS, Lee WY: Serotonin transporters in the midbrain of Parkinson's disease patients: a study with [123I]beta-CIT SPECT. J Nucl Med 2003, 44: 870–876.PubMedGoogle Scholar
  25. Seibyl JP, Marek K, Sheff K, Baldwin RM, Zoghbi S, Zea-Ponce Y, Charney DS, van Dyck CH, Hoffer PB, Innis RB: Test/retest reproducibility of iodine-123-betaCIT SPECT brain measurement of dopamine transporters in Parkinson's patients. J Nucl Med 1997, 38: 1453–1459.PubMedGoogle Scholar
  26. Seibyl JP, Laruelle M, van Dyck CH, Wallace E, Baldwin RM, Zoghbi S, Zea-Ponce Y, Neumeyer JL, Charney DS, Hoffer PB, Innis RB: Reproducibility of iodine-123-beta-CIT SPECT brain measurement of dopamine transporters. J Nucl Med 1996, 37: 222–228.PubMedGoogle Scholar


© Pitkonen et al.; licensee Springer. 2012

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.