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Dive into the research topics where Anna Prinster is active.

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Featured researches published by Anna Prinster.


NeuroImage | 2006

Grey matter loss in relapsing-remitting multiple sclerosis: a voxel-based morphometry study.

Anna Prinster; Mario Quarantelli; Giuseppe Orefice; Roberta Lanzillo; Arturo Brunetti; Carmine Mollica; Elena Salvatore; V. Brescia Morra; Giovanni Coppola; G. Vacca; Bruno Alfano; Marco Salvatore

Global grey matter (GM) loss has been reported in multiple sclerosis (MS). We addressed the question of if and where GM loss is localized by means of optimized voxel-based morphometry, applied to MRI studies of 51 patients with clinically defined relapsing-remitting MS and 34 age-matched normal subjects, segmented into normal and abnormal brain tissues using a multiparametric approach. Segmented GM volumes were subsequently compared on a voxel-by-voxel basis to highlight regions of relative GM loss (P < 0.05, corrected for multiple comparisons at AnCova). Additionally, localized differences in brain asymmetry between the MS and the control groups were assessed by comparing on a voxel-by-voxel basis maps of GM differences between the two hemispheres (P < 0.05 corrected for multiple comparisons). In MS patients, GM volume was significantly decreased at the level of the left fronto-temporal cortex and precuneus, as well as of anterior cingulate gyrus and of caudate nuclei bilaterally. The only cortical region of significant GM loss in the right hemisphere was located in the postcentral area. Furthermore, GM loss regions were colocalized with increased GM asymmetries (Left < Right) in MS, confirming a preferential left-sided GM loss. Caudate atrophy correlated with lesion load, while no correlation between cortical regional GM loss and disease duration, clinical status or lesion load emerged. Our findings suggest that in RR-MS cortical GM reduction preferentially involves left fronto-temporal structures and deep GM, the latter correlating preferentially to global lesion load.


Neurology | 2005

Brain atrophy and lesion load in a large population of patients with multiple sclerosis

G. Tedeschi; Luigi Lavorgna; P. Russo; Anna Prinster; D Dinacci; Giovanni Savettieri; A. Quattrone; Paolo Livrea; C. Messina; A. Reggio; Vincenzo Bresciamorra; Giuseppe Orefice; M Paciello; Arturo Brunetti; Gabriella Coniglio; Simona Bonavita; A. Di Costanzo; A. Bellacosa; Paola Valentino; Mario Quarantelli; Francesco Patti; Giuseppe Salemi; E. Cammarata; Isabella Laura Simone; Marco Salvatore; V. Bonavita; Bruno Alfano

Objective: To measure white matter (WM) and gray matter (GM) atrophy and lesion load in a large population of patients with multiple sclerosis (MS) using a fully automated, operator-independent, multiparametric segmentation method. Methods: The study population consisted of 597 patients with MS and 104 control subjects. The MRI parameters were abnormal WM fraction (AWM-f), global WM-f (gWM-f), and GM fraction (GM-f). Results: Significant differences between patients with MS and control subjects included higher AWM-f and reduced gWM-f and GM-f. MRI data showed significant differences between patients with relapsing-remitting and secondary progressive forms of MS. Significant correlations between MRI parameters and between MRI and clinical data were found. Conclusions: Patients with multiple sclerosis have significant atrophy of both white matter (WM) and gray matter (GM); secondary progressive patients have significantly more atrophy of both WM and GM than do relapsing-remitting patients and a significantly higher lesion load (abnormal WM fraction); lesion load is related to both WM and even more to GM atrophy; lesion load and WM and GM atrophy are significantly related to Expanded Disability Status Scale score and age at onset (suggesting that the younger the age at disease onset, the worse the lesion load and brain atrophy); and GM atrophy is the most significant MRI variable in determining the final disability.


Journal of the Neurological Sciences | 2007

Correlation between fatigue and brain atrophy and lesion load in multiple sclerosis patients independent of disability.

Gioacchino Tedeschi; D Dinacci; Luigi Lavorgna; Anna Prinster; Giovanni Savettieri; Aldo Quattrone; Paolo Livrea; C. Messina; A. Reggio; Giovanna Servillo; Vincenzo Bresciamorra; Giuseppe Orefice; M Paciello; Arturo Brunetti; A. Paolillo; Gabriella Coniglio; Simona Bonavita; Alfonso Di Costanzo; A. Bellacosa; Paola Valentino; Mario Quarantelli; Francesco Patti; Giuseppe Salemi; Enrico Cammarata; Isabella Laura Simone; Marco Salvatore; Vincenzo Bonavita; Bruno Alfano

BACKGROUND Fatigue is a major problem in multiple sclerosis (MS), and its association with MRI features is debated. OBJECTIVE To study the correlation between fatigue and lesion load, white matter (WM), and grey matter (GM), in MS patients independent of disability. METHODS We studied 222 relapsing remitting MS patients with low disability (scores <or=2 at the Kurtzke Expanded Disability Status Scale). Lesion load, WM and GM were measured by fully automated, operator-independent, multi-parametric segmentation method. T1 and T2 lesion volume were also measured by a semi-automated method. Fatigue was assessed by the Fatigue Severity Scale (FSS), and patients divided in high-fatigue (FSS>or=5; n=197) and low-fatigue groups (FSS<or=4; n=25). RESULTS High-fatigue patients showed significantly higher abnormal white matter fraction (AWM-f), T1 and T2 lesion loads, and significant lower WM-f, and GM-f. Multivariate analysis showed that high FSS was significantly associated with lower WM-f, and GM-f. Females and highly educated patients were significantly less fatigued. CONCLUSION These results suggest that among MS patients with low disability those with high-fatigue show higher WM and GM atrophy and higher lesion load, and that female sex and higher levels of education may play a protective role towards fatigue. Furthermore, they suggest that in MS, independent of disability, WM and GM atrophy is a risk factor to have fatigue.


Diabetes Care | 2012

Liver Fat Is Reduced by an Isoenergetic MUFA Diet in a Controlled Randomized Study in Type 2 Diabetic Patients

Lutgarda Bozzetto; Anna Prinster; Giovanni Annuzzi; Lucia Costagliola; Anna Mangione; Alessandra Vitelli; Raffaella Mazzarella; Margaret Longobardo; Marcello Mancini; Carlo Vigorito; Gabriele Riccardi; Angela A. Rivellese

OBJECTIVE To evaluate the effects of qualitative dietary changes and the interaction with aerobic exercise training on liver fat content independent of weight loss in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS With use of a factorial 2 × 2 randomized parallel-group design, 37 men and 8 women, aged 35–70 years, with type 2 diabetes in satisfactory blood glucose control on diet or diet plus metformin treatment were assigned to one of the following groups for an 8-week period: 1) high-carbohydrate/high-fiber/low–glycemic index diet (CHO/fiber group), 2) high-MUFA diet (MUFA group), 3) high-carbohydrate/high-fiber/low–glycemic index diet plus physical activity program (CHO/fiber+Ex group), and 4) high-MUFA diet plus physical activity program (MUFA+Ex group). Before and after intervention, hepatic fat content was measured by 1H NMR. RESULTS Dietary compliance was optimal and body weight remained stable in all groups. Liver fat content decreased more in MUFA (−29%) and MUFA+Ex (−25%) groups than in CHO/fiber (−4%) and CHO/fiber+Ex groups (−6%). Two-way repeated-measures ANOVA, including baseline values as covariate, showed a significant effect on liver fat content for diet (P = 0.006), with no effects for exercise training (P = 0.789) or diet-exercise interaction (P = 0.712). CONCLUSIONS An isocaloric diet enriched in MUFA compared with a diet higher in carbohydrate and fiber was associated with a clinically relevant reduction of hepatic fat content in type 2 diabetic patients independent of an aerobic training program and should be considered for the nutritional management of hepatic steatosis in people with type 2 diabetes.


Metabolism-clinical and Experimental | 2009

Sonographic hepatic-renal ratio as indicator of hepatic steatosis: comparison with 1H magnetic resonance spectroscopy

Marcello Mancini; Anna Prinster; Giovanni Annuzzi; Raffaele Liuzzi; Rosalba Giacco; Carmela Medagli; Matteo Cremone; Gennaro Clemente; Simone Maurea; Gabriele Riccardi; Angela A. Rivellese; Marco Salvatore

The aim of this study was to determine the diagnostic performance of ultrasound (US) in the quantitative assessment of steatosis by comparison with proton magnetic resonance spectroscopy ((1)H-MRS) as a reference standard. Three liver echo-intensity indices were derived: US hepatic mean gray level, hepatic-renal echo-intensity ratio (H/R), and hepatic-portal blood echo-intensity ratio. The (1)H-MRS degree of steatosis was determined as percentage fat by wet weight. Regression equations were used to estimate quantitatively hepatic fat content. The hepatic fat content by (1)H-MRS analysis ranged from 0.10% to 28.9% (median value, 4.8%). Ultrasound H/R was correlated with the degree of steatosis on (1)H-MRS (R(2)= 0.92; P < .0001), whereas no correlation with (1)H-MRS was found for hepatic mean gray level and hepatic-portal blood echo-intensity ratio. A receiver operating characteristic curve identified the H/R of 2.2 as the best cutoff point for the prediction of (1)H-MRS of at least 5%, yielding measures of sensitivity and specificity of 100% and 95%, respectively. In this pilot study, US H/R exhibits high sensitivity and specificity for detecting liver fatty changes. Our results indicate that quantitative evaluation of hepatic fat content can be performed using US H/R and could therefore be a valuable analytic tool in clinical investigation.


NeuroImage | 2015

Relationship between simultaneously acquired resting-state regional cerebral glucose metabolism and functional MRI: A PET/MR hybrid scanner study

Marco Aiello; Elena Salvatore; Arnaud Cachia; Sabina Pappatà; Carlo Cavaliere; Anna Prinster; Emanuele Nicolai; Marco Salvatore; Jean-Claude Baron; Mario Quarantelli

Recently introduced hybrid PET/MR scanners provide the opportunity to measure simultaneously, and in direct spatial correspondence, both metabolic demand and functional activity of the brain, hence capturing complementary information on the brains physiological state. Here we exploited PET/MR simultaneous imaging to explore the relationship between the metabolic information provided by resting-state fluorodeoxyglucose-PET (FDG-PET) and fMRI (rs-fMRI) in neurologically healthy subjects. Regional homogeneity (ReHo), fractional amplitude of low frequency fluctuations (fALFF), and degree of centrality (DC) maps were generated from the rs-fMRI data in 23 subjects, and voxel-wise comparison to glucose uptake distribution provided by simultaneously acquired FDG-PET was performed. The mutual relationships among each couple of these four metrics were explored in terms of similarity, both of spatial distribution across the brain and the whole group, and voxel-wise across subjects, taking into account partial volume effects by adjusting for grey matter (GM) volume. Although a significant correlation between the spatial distribution of glucose uptake and rs-fMRI derived metrics was present, only a limited percentage of GM voxels correlated with PET across subjects. Moreover, the correlation between the spatial distributions of PET and rs-fMRI-derived metrics is spatially heterogeneous across both anatomic regions and functional networks, with lowest correlation strength in the limbic network (Spearman rho around -0.11 for DC), and strongest correlation for the default-mode network (up to 0.89 for ReHo and 0.86 for fALFF). Overall, ReHo and fALFF provided significantly higher correlation coefficients with PET (p=10(-8) and 10(-7), respectively) as compared to DC, while no significant differences were present between ReHo and fALFF. Local GM volume variations introduced a limited overestimation of the rs-fMRI to FDG correlation between the modalities under investigation through partial volume effects. These novel results provide the basis for future studies of alterations of the coupling between brain metabolism and functional connectivity in pathologic conditions.


Multiple Sclerosis Journal | 2010

Atorvastatin combined to interferon to verify the efficacy (ACTIVE) in relapsing-remitting active multiple sclerosis patients: A longitudinal controlled trial of combination therapy

Roberta Lanzillo; Giuseppe Orefice; Mario Quarantelli; Carlo Rinaldi; Anna Prinster; G. Ventrella; D. Spitaleri; Giacomo Lus; G. Vacca; Barbara Carotenuto; Elena Salvatore; Arturo Brunetti; Gioacchino Tedeschi; Vincenzo Morra

A large body of evidence suggests that, besides their cholesterol-lowering effect, statins exert anti-inflammatory action. Consequently, statins may have therapeutic potential in immune-mediated disorders such as multiple sclerosis. Our objectives were to determine safety, tolerability and efficacy of low-dose atorvastatin plus high-dose interferon beta-1a in multiple sclerosis patients responding poorly to interferon beta-1a alone. Relapsing—remitting multiple sclerosis patients, aged 18—50 years, with contrast-enhanced lesions or relapses while on therapy with interferon beta-1a 44 µg (three times weekly) for 12 months, were randomized to combination therapy (interferon + atorvastatin 20 mg per day; group A) or interferon alone (group B) for 24 months. Patients underwent blood analysis and clinical assessment with the Expanded Disability Status Scale every 3 months, and brain gadolinium-enhanced magnetic resonance imaging at screening, and 12 and 24 months thereafter. Primary outcome measure was contrast-enhanced lesion number. Secondary outcome measures were number of relapses, EDSS variation and safety laboratory data. Forty-five patients were randomized to group A (n = 21) or B (n = 24). At 24 months, group A had significantly fewer contrast-enhanced lesions versus baseline (p = 0.007) and significantly fewer relapses versus the two pre-randomization years (p < 0.001). At survival analysis, the risk for a 1-point EDSS increase was slightly higher in group B than in group A (p = 0.053). Low-dose atorvastatin may be beneficial, as add-on therapy, in poor responders to high-dose interferon beta-1a alone.


Psychological Medicine | 2015

Is avolition in schizophrenia associated with a deficit of dorsal caudate activity? A functional magnetic resonance imaging study during reward anticipation and feedback

A. Mucci; Danai Dima; Andrea Soricelli; Umberto Volpe; Paola Bucci; Sophia Frangou; Anna Prinster; M. Salvatore; S. Galderisi; Mario Maj

Background The neurobiological underpinnings of avolition in schizophrenia remain unclear. Most brain imaging research has focused on reward prediction deficit and on ventral striatum dysfunction, but findings are not consistent. In the light of accumulating evidence that both ventral striatum and dorsal caudate play a key role in motivation, we investigated ventral striatum and dorsal caudate activation during processing of reward or loss in patients with schizophrenia. Method We used functional magnetic resonance imaging to study brain activation during a Monetary Incentive Delay task in patients with schizophrenia, treated with second-generation antipsychotics only, and in healthy controls (HC). We also assessed the relationships of ventral striatum and dorsal caudate activation with measures of hedonic experience and motivation. Results The whole patient group had lower motivation but comparable hedonic experience and striatal activation than HC. Patients with high avolition scores showed lower dorsal caudate activation than both HC and patients with low avolition scores. A lower dorsal caudate activation was also observed in patients with deficit schizophrenia compared to HC and patients with non-deficit schizophrenia. Dorsal caudate activity during reward anticipation was significantly associated with avolition, but not with anhedonia in the patient group. Conclusions These findings suggest that avolition in schizophrenia is linked to dorsal caudate hypoactivation.


Multiple Sclerosis Journal | 2010

A voxel-based morphometry study of disease severity correlates in relapsing— remitting multiple sclerosis

Anna Prinster; Mario Quarantelli; Roberta Lanzillo; Giuseppe Orefice; G. Vacca; Barbara Carotenuto; Bruno Alfano; Arturo Brunetti; V. Brescia Morra; Marco Salvatore

Previous studies have shown a preferential loss of grey matter in fronto-temporal regions in patients with multiple sclerosis. Studies of correlates of disease severity are more controversial, because some studies have suggested an association between sensorimotor cortex atrophy and Expanded Disability Status Scale score, while others did not find such a correlation. The objective of this study was to assess the correlation of regional loss of grey matter and white matter with indexes of clinical and radiological severity in relapsing—remitting multiple sclerosis, including the Expanded Disability Status Scale and lesion load. Correlations between Expanded Disability Status Scale, lesion load and disease duration were assessed in 128 patients with relapsing—remitting multiple sclerosis (Expanded Disability Status Scale range 1.0—6.0) using optimized voxel-based morphometry. Bilateral loss of grey matter in sensorimotor cortices was correlated with Expanded Disability Status Scale, and tissue loss also involved adjacent white matter, extending along pyramidal tracts to the brainstem. Increasing lesion load was correlated with loss of deep grey matter and white matter. No specific region of grey matter or white matter showed a significant correlation with disease duration. These findings support the hypothesis that motor neuron involvement plays a major role in the progression of physical disability. Lesion load accrual affects mainly highly interconnected subcortical structures, while disease duration has a less significant impact on brain atrophy, probably owing to the inter-subject heterogeneity of the clinical course of the disease.


European Journal of Nuclear Medicine and Molecular Imaging | 1995

An elastic computerized brain atlas for the analysis of clinical PET/SPET data

Giovanna Rizzo; Maria Carla Gilardi; Anna Prinster; Franco Grassi; G. Scotti; Sergio Cerutti; Ferruccio Fazio

An elastic computerized brain atlas was developed for the analysis of positron emission tomography/single-photon emission tomography (PET/SPET) data. It consists of a set of digital anatomical contours and a template of regions of interest, schematically describing the brain, derived from a currently used anatomical/functional brain atlas. A warping algorithm, matching equivalent contours, was implemented to elastically fit the atlas to individual brain images. The elastic computerized brain atlas was applied to representative magnetic resonance imaging (MRI)-PET/SPET studies, MRI providing the anatomical information used by the matching procedure. The atlas is suited for clinical use in a nuclear medicine environment.

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Arturo Brunetti

University of Naples Federico II

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Marco Salvatore

University of Naples Federico II

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Bruno Alfano

National Research Council

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Giuseppe Orefice

University of Naples Federico II

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Roberta Lanzillo

University of Naples Federico II

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Elena Cantone

University of Naples Federico II

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