SHORT REPORTS |
Department of Child and Adolescent Psychiatry, University of Ulm, Germany
Department of Nuclear Medicine, University of Bern, Switzerland
Department of Child and Adolescent Psychiatry, University of Ulm
Department of Neurology, University of Ulm
Department of Child and Adolescent Psychiatry, University of Ulm
Department of Neurology, University of Ulm, Germany
Correspondence: Jan Kassubek, MD, Department of Neurology, University of Ulm, Oberer Eselsberg 45, 889081 Ulm, Germany. Tel: + 49 731 1771206; Fax: + 49 731 1771202; e-mail: jan.kassubek{at}uni-ulm.de
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High-resolution, whole-head three-dimensional MRI data for all patients and controls were collected on the same 1.5 T clinical scanner (Siemens, Erlangen, Germany) and processed in the same way using methods implemented in Statistical Parametric Mapping software (SPM2; http://www.fil.ion.ucl.ac.uk/spm). Voxel-based morphometry was performed according to the principles described by Good et al (2001) as the optimised protocol. First, all images were normalised by use of an affine-only procedure and a template built from children aged 518 years by researchers from the Imaging Research Center at Cincinnati Childrens Hospital Medical Center; see http://www.irc.chmcc.org). After creation of customised tissue probability maps, the MRI data were segmented, cleaned, normalised to the study-specific template, segmented and cleaned a second time, then modulated by the Jacobian determinants and finally smoothed (6 mm isotropic Gaussian kernel) (Good et al, 2001).
Within the framework of the general linear model, the grey-matter images of the Tourette syndrome group were statistically compared with the normal database in a parametric group analysis. Data were analysed in SPM for effects of diagnosis, including individual total grey-matter volume, age and individual scores on the DSMIV criteria checklist for ADHD as covariates of no interest and individual YGTSS values as the covariate of interest. To detect whether each voxel in the patient data had a greater or lesser grey-matter volume than in controls, the appropriate two contrasts were calculated. For general analysis of effects in areas with an a priori hypothesis the basal ganglia (striatum) and mesiotemporal regions significance was set at P<0.001, uncorrected for multiple comparisons, and then a small-volume correction was made using a 10 mm radius volume of interest (Wilke et al, 2004).
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Fig. 1 Voxel-based morphometric analysis. (A) Patients>controls: areas showing
significantly increased grey matter (at small-volume corrected
P<0.001) localised in the ventral putamen bilaterally; clusters
are superimposed on the study-specific template in axial view. (B)
Controls>patients: display of clusters showing significantly decreased grey
matter (at small-volume corrected P<0.001), superimposed on the
study-specific template, in coronal view. Z-scores are indexed by the
grey-scale bar.
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The change in putamen volume is in general agreement with previous investigations; note that the putaminal volume changes in our study were local increases in grey matter. Previous investigations of functional networks in Tourette syndrome using [15H2O]positron emission tomography (PET) or functional MRI (Peterson et al, 1998; Stern et al, 2000) suggested that basal ganglia seem to be overactive (disinhibited), in accordance with a more recent study using [11C]dihydrotetrabenazinePET to quantify striatal monoaminergic innervation in this syndrome which showed increased binding in the ventral striatum (Albin et al, 2003). Thus, it seems plausible that in the course of the disorder the increased activity might be mirrored by increased signal properties due to neuronal volume changes, at least in a subset of patients. It has to be kept in mind that children and not adults were investigated in our study and that previous volumetric studies in affected children mostly found no reduction of basal ganglia volumes, although a large-scale volumetric study reported reduced volumes of the caudate nuclei, but not of lenticular nuclei (Peterson et al, 2003).
The ventral striatum which we found to be altered in our patient cohort is thought of as the part of the basal ganglia participating in temporolimbic pathways of the CSTC. We found the left hippocampal gyrus to be a part of the limbic system significantly decreased in volume, a finding not described previously in Tourette syndrome or in ADHD to our knowledge. The hippocampal cortex is a polymodal convergence area and a core component of the limbic system loops of the CSTC (Peterson, 2001). This constellation implies that two elements of this pathway were found to be altered in volume in our study and that the temporolimbic CSTC pathway seems to be important for Tourette-related symptoms. This finding is strongly supported by the significant covariance of tic severity and the striatal and hippocampal volume changes.
Using voxel-based morphometric analysis as a sensitive and unbiased comparison of regional brain morphology, we found evidence for grey-matter changes in temporolimbic CSTC pathways which might be the morphological correlate of a dopaminergic hyperfunction. Our finding of decreased hippocampal grey-matter volumes needs to be correlated with neuropsychological deficits in patients with Tourette syndrome in future studies. The results of this type of analysis may be useful in recognising regions that are of particular relevance to a specific disorder, even when the neuromorphometric abnormalities are subtle.
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