Structural connectivity differences in motor network between tremor-dominant and nontremor Parkinson's disease.

Motor phenotypes of Parkinson's disease (PD) are recognized to have different prognosis and therapeutic response, but the neural basis for this clinical heterogeneity remains largely unknown. The main aim of this study was to compare differences in structural connectivity metrics of the main motor network between tremor-dominant and nontremor PD phenotypes (TD-PD and NT-PD, respectively) using probabilistic tractography-based network analysis. A total of 63 PD patients (35 TD-PD patients and 28 NT-PD patients) and 30 healthy controls underwent a 3 T MRI. Next, probabilistic tractography-based network analysis was performed to assess structural connectivity in cerebello-thalamo-basal ganglia-cortical circuits, by measuring the connectivity indices of each tract and the efficiency of each node. Furthermore, dopamine transporter single-photon emission computed tomography (DAT-SPECT) with 123 I-ioflupane was used to assess dopaminergic striatal depletion in all PD patients. Both PD phenotypes showed nodal abnormalities in the substantia nigra, in agreement with DAT-SPECT evaluation. In addition, NT-PD patients displayed connectivity alterations in nigro-pallidal and fronto-striatal pathways, compared with both controls and TD-PD patients, in which the same motor connections seemed to be relatively spared. Of note, in NT-PD group, rigidity-bradykinesia score correlated with fronto-striatal connectivity abnormalities. These findings demonstrate that structural connectivity alterations occur in the cortico-basal ganglia circuit of NT-PD patients, but not in TD-PD patients, suggesting that these anatomical differences may underlie different motor phenotypes of PD. Hum Brain Mapp 38:4716-4729, 2017. © 2017 Wiley Periodicals, Inc.

Alterations of putaminal shape in de novo Parkinson's disease.

INTRODUCTION: Several neuroimaging studies have been carried out to gain insight on the pathological processes that cause PD, but literature findings are inconsistent. The aim of this study was to combine information carried by functional imaging with DA transporter ligands and structural MRI. METHODS: Forty-two untreated, de novo-PD patients and 30 control subjects were involved in this study. Patients were divided in subgroups according to the presence of uni- or bilateral reduction of ligand uptake in the putamen, as observed on DA transporter single-photon emission tomography: 12 patients had abnormal uptake in the right putamen and 11 in the left, whereas 19 had bilateral abnormal uptake. Voxel-based morphometry and shape analysis were used to compare healthy subjects to all de novo-PD or to patients with either right or left abnormal uptake. RESULTS: Shape analysis identified significant differences between de novo-PD and controls in putaminal regions. In patients with unilateral abnormal uptake, only the medial surface of the structure was involved. When patients with bilateral uptake reduction were also considered, changes extended from the medial to the lateral surface of putamina. Voxel-based morphometry showed similar results to those detected with shape analysis, but it failed to identify the putaminal subfield involved in patients with asymmetric or symmetric damage on DA transporter single-photon emission tomography. CONCLUSIONS: Shape analysis in de novo-PD patients suggested a progressive medial-to-lateral involvement of the putamina that paralleled an asymmetric-to-bilateral distribution of DA transporter depletion. © 2016 International Parkinson and Movement Disorder Society.

CADA-computer-aided DaTSCAN analysis.

BACKGROUND: Dopamine transporter (DaT) imaging (DaTSCAN) is useful for the differential diagnosis of parkinsonian syndromes. Visual evaluation of DaTSCAN images represents the generally accepted diagnostic method, but it is strongly dependent on the observer's experience and shows inter- and intra-observer variability. A reliable and automatic method for DaTSCAN evaluation can provide objective quantification; it is desirable for longitudinal studies, and it allows for a better follow-up control. Moreover, it is crucial for an automated method to produce coherent measures related to the severity of motor symptoms. METHODS: In this work, we propose a novel fully automated technique for DaTSCAN analysis that generates quantitative measures based on striatal intensity, shape, symmetry and extent. We tested these measures using a support vector machine (SVM) classifier. RESULTS: The proposed measures reached 100 % accuracy in distinguishing between patients with Parkinson's disease (PD) and control subjects. We also demonstrate the existence of a linear relationship and an exponential trend between pooled structural and functional striatal characteristics and the Unified Parkinson's disease Rating Scale (UPDRS) motor score. CONCLUSIONS: We present a novel, highly reproducible, user-independent technique for DaTSCAN analysis producing quantitative measures directly connected to striatum uptake and shape. In our method, no a priori assumption is required on the spatial conformation and localization of striatum, and both uptake and symmetry contribute to the index quantification. These measures can reliably support a computer-assisted decision system.

[Cardiac sympathetic innervation imaging with myocardial MIBG scintigraphy]. / Studio dell'innervazione cardiaca mediante scintigrafia miocardica con MIBG.

Metaiodobenzylguanidine (MIBG) was developed initially as a tracer for oncological imaging; when labeled with 123 I or 131 I, it may detect APUDomas, such as pheochromocytomas and paragangliomas. In the last years, MIBG has found an important role also in neurology and cardiology, as cardiac innervation tracer. Actually, MIBG cardiac imaging is a universally accepted method to estimate cardiac sympathetic innervations. This review covers the role of MIBG cardiac imaging in Parkinson disease and parkinsonisms, from the pathophysiological premises for cardiac denervation to new emerging data.

[Quantitative analysis of myocardial glucose metabolism by using dynamic FDG-PET acquisition]. / Analisi quantitativa del metabolismo glucidico miocardico con PET-FDG dinamica.

In today's diagnostic imaging the heart with Pet 18F - FDG finds its highest expression in' identify the extent, severity, and the possibility of recovery of dysfunctional myocardium. Aim of this study was to extract some parameters "unique" as the regional metabolic rate, the speed of fractional irreversible binding of the tracer to the receptor sites in order to obtain a quantization of a possible damage of the tissue under examination. We used a dedicated software, the PMOD, implemented with compartmental models and graphical analysis methods in order to obtain absolute and repeatable results. In our results these parameters can give a qualitative data integration and definition to which, as is known, do not allow the identification of objective criteria to identify a possible ischemic damage and, most important, a possible recovery of dysfunctional myocardium.