Dimitrios G. Gkotsoulias1, Michael Rullmann2, Simon Schmitt3, Anna Bujanow1, Franziska Zientek2, Konstantin Messerschmidt2, Kirsten Müller-Vahl3, Henryk Barthel2, and Harald E. Möller4
1NMR Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany, 3Clinic of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany, 4Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Synopsis
Keywords: Psychiatric Disorders, PET/MR, QSM, 7T, Tourette Syndrome, PET, Dopamine, Receptors, D1
We
present interim results of the first combined 7T MRI and [11C]-SCH23390 PET
study in Gilles de la Tourette syndrome (GTS). Dopamine D1-receptor
availability is assessed in combination with Quantitative Susceptibility
Mapping (QSM). Our results indicate reduced iron concentrations
in subcortical grey matter of GTS patients compared to age- and
sex-matched controls, accompanied by reduced D1-receptor binding
potential in several regions. Correlations between local iron distribution and
D1-receptor binding potential in basal ganglia support the hypothesis that iron
homeostasis might play a significant role in
dysregulations of the dopaminergic system that eventually lead to
the characteristic symptomatology of GTS.
Introduction
Dopaminergic
system dysregulation is the major hypothesis for the occurrence of the motor
and vocal tics in Gilles de la Tourette syndrome (GTS), although the
question of whether these abnormalities are of primary or
secondary nature remains1,2,3.
MRI and
PET studies have shown abnormalities in D-2/3 receptors
and other neurotransmitter systems4,5. As a result
of this consensus, until now drugs were based on D2-receptor antagonists, with
Ecopipam being an exception, as a D1-receptor antagonist6.
Additional
to Ecopipam’s promising results in the reduction of clinical
manifestations, post-mortem studies indicate
alterations also in D1-receptors in GTS7. Despite
this, D1-receptor connections to GTS symptomatology and potential abnormalities
in their distribution are yet to be assessed. Brain iron―especially in subcortical areas―has a
significant role in neurotransmitter production and metabolism, including dopamine,
and is thus seen as a substance of major importance in multiple
psychopathologies8.
In
our study, we used [11C]-SCH23390 PET for assessing
the distribution and availability of D1-receptors as well as 7T MRI for quantitative
susceptibility mapping (QSM) as proxy of brain iron. Methods
Till
present, 14 GTS patients (Ages: 30±9.4 years, 2 females, 2 dropouts due to
strong head tics) and 15 controls (Ages: 32±4.4 years, 4 females) have been
recruited, while 7 GTS patients and 6 controls participated also in the 3T MR/PET
acquisition. 7T MRI acquisitions were obtained on a MAGNETOM
Terra (Siemens Healthineers) including MP2RAGE structural scans (1mm isotropic nominal
resolution) and ME-GRE (0.8mm isotropic; 9 echoes, TEmin 5ms,
echo spacing 4.1ms; and TR= 48ms). 3T PET-MR data were
acquired on a Biograph mMR
(Siemens Healthineers) using the radionuclide [11C]-SCH233909
with a regular clinical protocol: After 90s bolus injection of
483 ± 30 MBq, participants underwent a 90min dynamic PET scan.
FSL10 was used for skull striping
and background masking of both GRE and T1w MP2RAGE volumes. QSM
processing was based on the acquisition with TE=13.2ms, including Laplacian
phase unwrapping11,12 and V-SHARP12,13
background field removal as well as Q-star for field-to-source inversion12.
The QSM values were referenced to the mean in a well-defined ventricular region14
(Figure 1). The
dynamic PET data were motion-corrected and co-registered to individual 3T
MP2RAGE data. Kinetic modeling was performed for generation of binding
potential (BPND) and
relative delivery (R1) parametric maps, using MRTM2 with cerebellar cortex as
reference region9.
The
7T and 3T MP2RAGE volumes were corrected and co-registered using ANTs
registration to the GRE space. Volumetric segmentation was performed with FreeSurfer
5.315 on MP2RAGE data, followed by further processing that allowed for
better differentiation of basal ganglia structures. Brainstem nuclei of
interest were delineated manually using MRIcron. The segmentation maps and 3T
MP2RAGE volumes were also co-registered to MNI space16 for
obtaining the BPND and R1 maps
of specific subcortical ROIs. Further statistical
evaluation and visualization was done using Python.Results
Statistical
differences of the 7T QSM results between GTS patients and controls in basal
ganglia and brainstem regions are reported as violin plots in Figure 2.
The p-values (Mann-Whitney test) indicated statistical significance
in thalamus (p=0.02), substantia nigra (p=0.01), caudate (p=0.02),
putamen (p=0.02) and pallidum (p=0.007).
Figure 3 shows
mean D1 BPND obtained with
PET in patients and controls, indicating reduced
mean activity in subcortical regions.
Correlations (p<10–4) between
D1 BPND and mean susceptibility
values in basal ganglia ROIs are shown in Figure 4. The cumulative graph
includes all sub-regions and participants. Similar correlations
are observed in patients and controls, however, the regression line is downshifted
for the patients, reflecting the reduced susceptibilities in subcortical areas shown
in Figure 2. Discussion
Our
preliminary results provide the first assessment
of D1-receptor activity in patients with GTS indicating
reduced BPND
and R1 levels in multiple brain regions, including frontal, thalamic and
striatal areas. In parallel, 7T QSM revealed reduced susceptibility
in multiple subcortical and brainstem
nuclei, presumably reflecting reductions in iron content.
Equally importantly, the combined information from PET and MR suggests a
correlation of striatal D1 availability and QSM-derived brain iron. This observation
bears similarities to recent longitudinal PET/MR results in a normal cohort, demonstrating
associations of dopamine receptor D2/D3 availability and vesicular dopamine
storage with the reversible transverse relaxation rate, R2’—another
surrogate of iron obtained with MRI17.
The
link between susceptibility reductions obtained with QSM and PET-derived abnormalities
in dopaminergic transmission suggests that disruptions in iron regulatory
mechanisms may be involved in GTS pathophysiology, and that neurotransmitter abnormalities
may be related to mechanisms regulated by iron-containing enzymes. While
susceptibility measures lack the unique specificity of PET to target individual
aspects of dopaminergic signaling (i.e., dopamine vesicles, individual
receptors, and transporters), the non-invasiveness of QSM opens new routes to indirect
investigations of the dopaminergic system in GTS, including maturational
effects during adolescence, where PET scanning is not an option.Acknowledgements
This work was funded by the EU through the ITN
“INSPiRE-MED” (H2020-MSCA-ITN-2018, #813120).
Thanks to Caroline Fremer, Caroline Klages and Lisa Hartung from MHH for their help in
the patients recruiting, to the UKL NUK Nuclear Medicine Technologists Torsten
Böhm and Martin Wehner, MPI CBS radiographers Domenica Klank, Sylvie Neubert, Anke Kummer, Simone Wipper, Mandy
Jochemko, Manuela Hofmann and Nicole Pampus for their help in acquisitions and
preparations of participants and to Amira-Philine
Büttner for her valuable help in acquisitions and data organization.
References
1.American Psychiatric Association. Diagnostic and Statistical Manual of
Mental Disorders, 4th Edition, 2000
2.D. Albin and J.W. Mink, Recent advances in Tourette syndrome research.
Trends Neurosci. 2006; 29: 175-182.
3.J.W. Mink. Basal ganglia dysfunction in Tourette’s syndrome: A new
hypothesis. Pediatr. Neurol. 2001; 25: 190-198.
4.H.S. Singer. Treatment of tics and Tourette syndrome. Curr. Treat.
Opinions Neurol. 2010; 12: 539-561.
5.E. Jakubovski, K.R. Müller-Vahl.
Gilles de la Tourette Syndrome: Symptoms, Causes and Therapy, Psychotherapie, Psychosomatik, Medizinische
Psychologie. 2017
6.D.L. Gilbert et al. Ecopipam, a D1 receptor antagonist, for treatment
of Tourette syndrome: A randomized, placebo-controlled cross over study. Mov.
Disord. 2018; 33: 1272-1280.
7.Y. Okubo et al. Decreased prefrontal dopamine D1 receptors in
schizophrenia revealed by PET. Nature, 1997; 385: 634-636.
8.H.E.
Möller, L. Bossoni, J.R. Connor, et al. Iron, myelin, and the brain: Neuroimaging meets neurobiology. Trends Neurosci.
2019; 42: 384-401.
9.S. Kaller
et al. “Test–retest measurements of dopamine D1-type receptors using
simultaneous PET/MRI imaging. Eur. J. Nucl. Med. Mol. Imaging 2017; 44: 1025-1032.
10. M. Jenkinson, C.F. Beckmann, T.E. Behrens, et al. FSL. NeuroImage.
2012; 62: 782-790.
11.Deistung A,
Schweser F, Reichenbach JR. Overview of
quantitative susceptibility mapping. NMR Biomed. 2017; 30: e3569.
12.Özbay PS, Deistung A, Feng X, et al. A comprehensive numerical analysis
of background phase correction with V-SHARP. NMR Biomed. 2017; 30: e3550.
13.W. Li
et al. “5223 STI Suite: a Software Package for Quantitative Susceptibility
Imaging.” (2013).
14.J. Acosta-Cabronero
et al., In vivo quantitative susceptibility mapping (QSM) in Alzheimer's
disease. PLoS One. 2013; 8: e81093.
15.Freesurfer
5.3, https://surfer.nmr.mgh.harvard.edu/,
Laboratory for Computational Neuroimaging, Athinoula A. Martinos Center for
Biomedical Imaging
16.C. Rorden,
M. Brett. Stereotaxic display of brain lesions. Behav Neurol. 2000; 12: 191-200.
17.B. Larsen et al. Maturation of the human striatal dopamine system
revealed by PET and quantitative MRI. Nat. Commun. 2020; 11: 846.