Aldo Quattrone

National Research Council, Roma, Latium, Italy

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Publications (490)2054.22 Total impact

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    ABSTRACT: The objective of this article is to determine whether cutaneous allodynia (CA) influences the response to treatment with occipital transcutaneous electrical stimulation (OTES) in chronic migraine (CM) and chronic tension-type headache (CTTH).
    Cephalalgia : an international journal of headache. 07/2014;
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    Antonio Cerasa, Aldo Quattrone
  • Journal of Parkinson's disease. 05/2014;
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    ABSTRACT: Parkinson's disease (PD) is characterized by progressive loss of dopaminergic neurons in the substantia nigra pars compacta. This degeneration leads to bradykinesia, muscular rigidity, resting tremor, and postural instability. It affects 1%-2% of the population above the age of 60 years. Recently, 2 studies identified the Asp620Asn mutation in the vacuolar protein sorting 35 (VPS35) gene, and the Arg1205His in the eukaryotic translation initiation factor 4 gamma 1 gene (EIF4G1) were reported to be associated an autosomal dominant form of PD. In this study we screened these mutations in a cohort of 250 South Italy patients with familial PD and 250 control subjects from South Italy. VPS35 Asp620Asn mutation and EIF4G1 Arg1205His mutation were not found in our 250 PD patients. This result, with our previous reports on the absence of mutations in LRRK2 and in SNCA, warrant a continuing search for novel causative genes for PD among South Italy.
    Neurobiology of aging. 04/2014;
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    ABSTRACT: In overwork weakness (OW), muscles are increasingly weakened by exercise, work or daily activities. Although it is a well-established phenomenon in several neuromuscular disorders, it is debated whether it occurs in Charcot-Marie-Tooth disease (CMT). Dominant limb muscles undergo a heavier overload than non-dominant and therefore if OW occurs we would expect them to become weaker. Four previous studies, comparing dominant and non-dominant hand strength in CMT series employing manual testing or myometry, gave contradictory results. Moreover, none of them examined the behaviour of lower limb muscles. We tested the OW hypothesis in 271 CMT1A adult patients by comparing bilateral intrinsic hand and leg muscle strength with manual testing as well as manual dexterity. We found no significant difference between sides for the strength of first dorsal interosseous, abductor pollicis brevis, anterior tibialis and triceps surae. Dominant side muscles did not become weaker than non-dominant with increasing age and disease severity (assessed with the CMT Neuropathy Score); in fact, the dominant triceps surae was slightly stronger than the non-dominant with increasing age and disease severity. Our data does not support the OW hypothesis and the consequent harmful effect of exercise in patients with CMT1A. Physical activity should be encouraged, and rehabilitation remains the most effective treatment for CMT patients.
    Journal of neurology, neurosurgery, and psychiatry 03/2014; · 4.87 Impact Factor
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    ABSTRACT: Imaging measurements, such as the ratio of the midsagittal areas of the midbrain and pons (midbrain/pons) and the Magnetic Resonance Parkinsonism Index (MRPI), have been proposed to differentiate progressive supranuclear palsy (PSP) from Parkinson's disease (PD). However, abnormal midbrain/pons values suggestive of PSP have also been reported in elderly individuals and in patients with PD. We investigated the effect of aging on single or combined imaging measurements of the brainstem. We calculated the midbrain/pons and the MRPI (the ratio of the midsagittal areas of the pons and the midbrain multiplied by the ratio of the middle cerebellar peduncle and superior cerebellar peduncle widths) in 152 patients affected by PD, 25 patients with PSP, and a group of 81 age-matched and sex-matched healthy controls using a 3-Tesla magnetic resonance imaging scanner. In healthy controls, aging was negatively correlated with midsagittal area of the midbrain and midbrain/pons values. In patients with PD, in addition to the effect of aging, the disease status further influenced the midbrain/pons values (R(2) = 0.23; P < 0.001). In both groups, MRPI values were not influenced either by aging or by disease status. No effect of aging on either midbrain/pons or MRPI values was shown in the patients with PSP. Our findings indicated that the MRPI was not significantly influenced by aging or disease-related changes occurring in PD; whereas, in contrast, the midbrain/pons was influenced. Therefore, the MRPI appears to be a more reliable imaging measurement compared with midbrain/pons values for differentiating PSP from PD and controls in an elderly population. © 2014 International Parkinson and Movement Disorder Society.
    Movement Disorders 02/2014; · 5.63 Impact Factor
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    ABSTRACT: The effectiveness of cognitive rehabilitation (CR) in Parkinson's disease (PD) is in its relative infancy, and nowadays there is insufficient information to support evidence-based clinical protocols. This study is aimed at testing a validated therapeutic strategy characterized by intensive computer-based attention-training program tailored to attention deficits. We further investigated the presence of synaptic plasticity by means of functional magnetic resonance imaging (fMRI). Using a randomized controlled study, we enrolled eight PD patients who underwent a CR program (Experimental group) and seven clinically/demographically-matched PD patients who underwent a placebo intervention (Control group). Brain activity was assessed using an 8-min resting state (RS) fMRI acquisition. Independent component analysis and statistical parametric mapping were used to assess the effect of CR on brain function. Significant effects were detected both at a phenotypic and at an intermediate phenotypic level. After CR, the Experimental group, in comparison with the Control group, showed a specific enhanced performance in cognitive performance as assessed by the SDMT and digit span forward. RS fMRI analysis for all networks revealed two significant groups (Experimental vs Control) × time (T0 vs T1) interaction effects on the analysis of the attention (superior parietal cortex) and central executive neural networks (dorsolateral prefrontal cortex). We demonstrated that intensive CR tailored for the impaired abilities impacts neural plasticity and improves some aspects of cognitive deficits of PD patients. The reported neurophysiological and behavioural effects corroborate the benefits of our therapeutic approach, which might have a reliable application in clinical management of cognitive deficits.
    Neurological Sciences 02/2014; · 1.41 Impact Factor
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    ABSTRACT: In this study, we used an automated segmentation of regions of interest and co-registration to diffusion tensor imaging (DTI) images to investigate whether microstructural abnormalities occur in gray structures of the frontal-subcortical circuits in patients with amyotrophic lateral sclerosis (ALS). Twenty-four patients with probable or definite sporadic ALS and 22 healthy controls were enrolled in the study. Thirteen out of 24 ALS patients and all of the control subjects underwent a detailed neuropsychological evaluation. DTI was performed to measure mean diffusivity (MD) and fractional anisotropy in the frontal cortex, caudate, putamen, globus pallidus, thalamus, amygdala and hippocampus. MD values of ALS patients were significantly higher in the frontal cortex (P = 0.023), caudate (P = 0.01), thalamus (P = 0.019), amygdala (P = 0.012) and hippocampus (P = 0.002) compared to controls. MD of these structures significantly correlated to a variable degree with neurological disability and neuropsychological dysfunctions. The increased MD values in several cortical and subcortical gray structures and their correlations with neuropsychological variables substantiate a multisystemic degeneration in ALS and suggest that dysfunctions of frontal-subcortical circuits could play a pivotal role in frontal impairment and behavioral symptoms in ALS patients.
    Neurological Sciences 01/2014; · 1.41 Impact Factor
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    ABSTRACT: Diffusion tensor imaging (DTI) is one of the most sensitive MRI tools for detecting subtle cerebral white matter abnormalities in amyotrophic lateral sclerosis (ALS). Nowadays a plethora of DTI tools have been proposed, but very few methods have been translated into clinical practice. New Method: The aim of this study is to validate the objective measurement of fiber tracts as provided by a new unbiased and automated tractography reconstruction tool named as TRActs Constrained by UnderLying Anatomy (TRACULA). The reliability of this tract-based approach was evaluated on a dataset of 14 patients with definite ALS compared with 14 age/sex-matched healthy controls. To further corroborate these measurements, we used a well-known voxelwise approach, called tract-based spatial statistics (TBSS), on the same dataset. TRACULA showed specific significant alterations of several DTI parameters in the corticospinal tract of the ALS group with respect to controls. Comparison with Existing Method: The same finding was detected using the well-known TBSS analysis. Similarly, both methods depicted also additional microstructural changes in the cingulum. DTI tractography metrics provided by TRACULA perfectly agree with those previously reported in several post-mortem and DTI studies, thus demonstrating the accuracy of this method in characterizing the microstructural changes occurring in ALS. With further validation (i.e. considering the heterogeneity of other clinical phenotypes), this method has the potential to become useful for clinical practice providing objective measurements that might aid radiologists in the interpretation of MR images and improve diagnostic accuracy of ALS.
    Journal of neuroscience methods 01/2014; · 2.30 Impact Factor
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    ABSTRACT: Purpose. This paper describes a novel method to automatically segment the human brainstem into midbrain and pons, called LABS: Landmark-based Automated Brainstem Segmentation. LABS processes high-resolution structural magnetic resonance images (MRIs) according to a revised landmark-based approach integrated with a thresholding method, without manual interaction. Methods. This method was first tested on morphological T1-weighted MRIs of 30 healthy subjects. Its reliability was further confirmed by including neurological patients (with Alzheimer's Disease) from the ADNI repository, in whom the presence of volumetric loss within the brainstem had been previously described. Segmentation accuracies were evaluated against expert-drawn manual delineation. To evaluate the quality of LABS segmentation we used volumetric, spatial overlap and distance-based metrics. Results. The comparison between the quantitative measurements provided by LABS against manual segmentations revealed excellent results in healthy controls when considering either the midbrain (DICE measures higher that 0.9; Volume ratio around 1 and Hausdorff distance around 3) or the pons (DICE measures around 0.93; Volume ratio ranging 1.024–1.05 and Hausdorff distance around 2). Similar performances were detected for AD patients considering segmentation of the pons (DICE measures higher that 0.93; Volume ratio ranging from 0.97–0.98 and Hausdorff distance ranging 1.07–1.33), while LABS performed lower for the midbrain (DICE measures ranging 0.86–0.88; Volume ratio around 0.95 and Hausdorff distance ranging 1.71–2.15). Conclusions. Our study represents the first attempt to validate a new fully automated method for in vivo segmentation of two anatomically complex brainstem subregions. We retain that our method might represent a useful tool for future applications in clinical practice.
    PLoS ONE 01/2014; 9(1). · 3.73 Impact Factor
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    ABSTRACT: REM sleep behavior disorder (RBD) is a common non motor feature of Parkinson’s Disease (PD) affecting about half the patients with this disease. Distinct structural brain tissue abnormalities have been reported in several regions modulating REM sleep of the patients with idiopathic RBD. At the present time, there are no conventional MRI studies investigating patients with PD associated with RBD. Herein, we used voxel-based morphometry (VBM) to detect the neuroanatomical profile of PD patients with and without RBD. Optimized VBM was applied to the MRI brain images in 11PD patients with RBD (PD-RBD), 11 PD patients without RBD (PD) and 18 age-and sex-matched controls. To corroborate VBM findings we used automated volumetric method (FreeSurfer) to quantify subcortical brain regions volumes. Patients and controls also underwent DAT-SPECT and cardiac MIBG scintigraphies. The VBM analysis showed markedly reduced gray matter volume in the right thalamus of PD-RBD patients in comparison with PD patients and controls. Automatic thalamic segmentation in PD-RBD patients showed a bilaterally reduced thalamic volume as compared with PD patients or controls. All PD patients (with and without RBD) showed a reduced tracer uptake on DAT-SPECT and cardiac MIBG scintigraphies as compared to controls. Our findings suggest that the presence of RBD symptoms in PD patients is associated with a reduced thalamic volume suggesting a pathophysiologic role of the thalamus in the complex circuit causing RBD.
    Parkinsonism & Related Disorders 01/2014; · 3.27 Impact Factor
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    Antonio Cerasa, Aldo Quattrone
    Journal of Psychosomatic Research. 01/2014; 76(6):486-487.
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    ABSTRACT: Maladaptive plasticity can be defined as behavioral loss or even development of disease symptoms resulting from aberrant plasticity changes in the human brain. Hyperkinetic movement disorders, in the neurological or psychiatric realms, have been associated with maladaptive neural plasticity that can be expressed by functional changes such as an increase in transmitter release, receptor regulation, and synaptic plasticity or anatomical modifications such as axonal regeneration, sprouting, synaptogenesis, and neurogenesis. Recent evidence from human and animal models provided support to the hypothesis that these phenomena likely depend on altered dopamine turnover induced by long-term drug treatment. However, it is still unclear how and where these altered mechanisms of cortical plasticity may be localized. This study provides an up-to-date overview of these issues together with some reflections on future studies in the field, particularly focusing on two specific disorders (levodopa-induced dyskinesias in Parkinson's disease patients and tardive dyskinesias in schizophrenic patients) where the modern neuroimaging approaches have recently provided new fundamental insights.
    Frontiers in Neurology 01/2014; 5:49.
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    Antonio Cerasa, Aldo Quattrone
    Brain Stimulation 01/2014; · 4.54 Impact Factor
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    ABSTRACT: An increased R2 recovery component of the blink reflex (R2-BRrc) has been observed in Parkinson's disease (PD), cranio-cervical dystonia, dystonic tremor and essential tremor with associated resting tremor (rET), while the BRrc was reported normal in patients with essential tremor (ET). Distinguishing rET from tremor dominant PD (tPD) may be challenging especially in the first stages of the diseases, in the absence of DAT-SPECT investigation. We evaluated the possible usefulness of BRrc for differentiating subjects with de novo tPD from those with rET. We investigated R2-BRrc at interstimulus intervals (ISI) of 100, 150, 200, 300, 400, 500 and 750 ms in 11 participants with tPD, 10 with rET and 20 healthy controls. All participants underwent DAT-SPECT and cardiac MIBG scintigraphy. R2 recovery was significantly enhanced in tPD compared to controls at all investigated ISIs (p < 0.001), while in subjects with rET patients BRrc was significantly increased compared to controls at ISI 150, 200, 300, 400, 500 and 750 ms (p < 0.001). At ISI 100 R2-BRrc distinguished patients participants with de novo tPD from those with rET with a sensitivity, specificity and accuracy of 100%. Our findings demonstrate the usefulness of BRrc for differentiating de novo tPD from rET.
    Parkinsonism & Related Disorders 01/2014; 20(2):153–156. · 3.27 Impact Factor
  • Gennarina Arabia, Aldo Quattrone
    Neurology 12/2013; 81(24):2147. · 8.25 Impact Factor
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    ABSTRACT: The aim of the current study was to distinguish patients with Parkinson disease (PD) from those with progressive supranuclear palsy (PSP) at the individual level using pattern recognition of magnetic resonance imaging data. We combined diffusion tensor imaging and voxel-based morphometry in a support vector machine algorithm to evaluate 21 patients with PSP and 57 patients with PD. The automated algorithm correctly distinguished patients who had PD from those who had PSP with 100% accuracy. This accuracy value was obtained when white matter atrophy was considered. Diffusion parameters combined with gray matter atrophy exhibited 90% sensitivity and 96% specificity. Our findings demonstrate that automated pattern recognition can help distinguish patients with PSP from those with PD on an individual basis. © 2013 International Parkinson and Movement Disorder Society.
    Movement Disorders 12/2013; · 5.63 Impact Factor
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    ABSTRACT: Supervised machine learning has been proposed as a revolutionary approach, for identifying sensitive medical image biomarkers (or combination of them) allowing for automatic, diagnosis of individual subjects. The aim of this work was to assess the feasibility of a supervised, machine learning algorithm for the assisted diagnosis of patients with clinically diagnosed Parkinson's, Disease (PD) and Progressive Supranuclear Palsy (PSP). Morphological T1-weighted Magnetic Resonance Images (MRIs) of PD patients (28), PSP, patients (28) and healthy control subjects (28) were used by a supervised machine learning algorithm, based on the combination of Principal Components Analysis as feature extraction technique and on, Support Vector Machines as classification algorithm. The algorithm was able to obtain voxel-based, morphological biomarkers of PD and PSP. The algorithm allowed individual diagnosis of PD versus controls, PSP versus controls and PSP, versus PD with an Accuracy, Specificity and Sensitivity>90%. Voxels influencing classification, between PD and PSP patients involved midbrain, pons, corpus callosum and thalamus, four critical, regions known to be strongly involved in the pathophysiological mechanisms of PSP., Comparison with Existing METHODS: Classification accuracy of individual PSP patients was consistent, with previous manual morphological metrics and with other supervised machine learning application, to MRI data, whereas accuracy in the detection of individual PD patients was significantly higher with, our classification method. The algorithm provides excellent discrimination of PD patients from PSP patients at an, individual level, thus encouraging the application of computer-based diagnosis in clinical practice.
    Journal of neuroscience methods 11/2013; · 2.30 Impact Factor
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    ABSTRACT: Mutations of leucine-rich, glioma inactivated 1 (LGI1) gene are found in about half of the families with autosomal dominant lateral temporal epilepsy (ADLTE). More recently a LGI1 heterozygous microdeletion was found in a single ADLTE family, suggesting that submicroscopic chromosomal abnormalities should be investigated in cases negative for LGI1 mutations. This study examines whether microdeletions and duplications of the LG1 gene occurred in eight ADLTE families and 20 sporadic patients that were negative for LGI1 mutations. Multiplex ligation-dependent probe amplification (MLPA) was applied to detect potential deletions and duplications of LGI1 gene. In all patients, MLPA analysis did not reveal any pathogenic changes in the LGI1 gene. Chromosomal rearrangements involving the LGI1 gene were not identified in our series of familial or sporadic LTE. These results further illustrate the considerable genetic heterogeneity for ADLTE, despite the relatively homogeneous clinical picture. There are as yet undiscovered mechanisms underlying ADLTE.
    Epilepsy research 11/2013; · 2.48 Impact Factor
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    ABSTRACT: To test a prediction of our previous computational model of cortico-hippocampal interaction (Gluck and Myers [1993, 2001]) for characterizing individual differences in category learning, we studied young healthy subjects using an fMRI-adapted category-learning task that has two phases, an initial phase in which associations are learned through trial-and-error feedback followed by a generalization phase in which previously learned rules can be applied to novel associations (Myers et al. [2003]). As expected by our model, we found a negative correlation between learning-related hippocampal responses and accuracy during transfer, demonstrating that hippocampal adaptation during learning is associated with better behavioral scores during transfer generalization. In addition, we found an inverse relationship between Blood Oxygenation Level Dependent (BOLD) activity in the striatum and that in the hippocampal formation and the orbitofrontal cortex during the initial learning phase. Conversely, activity in the dorsolateral prefrontal cortex, orbitofrontal cortex and parietal lobes dominated over that of the hippocampal formation during the generalization phase. These findings provide evidence in support of theories of the neural substrates of category learning which argue that the hippocampal region plays a critical role during learning for appropriately encoding and representing newly learned information so that that this learning can be successfully applied and generalized to subsequent novel task demands. Hum Brain Mapp, 2013. © 2013 Wiley Periodicals, Inc.
    Human Brain Mapping 10/2013; · 6.88 Impact Factor

Publication Stats

6k Citations
2,054.22 Total Impact Points

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  • 2000–2014
    • National Research Council
      • Institute of Neurological Sciences ISN
      Roma, Latium, Italy
  • 1986–2014
    • Universita' degli Studi "Magna Græcia" di Catanzaro
      • Department of Medical and Surgical Sciences
      Catanzaro, Calabria, Italy
  • 2013
    • Foundation Santa Lucia
      Roma, Latium, Italy
    • Università degli Studi di Milano-Bicocca
      Milano, Lombardy, Italy
  • 2007–2013
    • University of Catania
      • Department of Biomedical Sciences (BIOMED)
      Catania, Sicily, Italy
  • 2012
    • Istituto Superiore di Sanità
      • National Centre for Rare Diseases
      Roma, Latium, Italy
    • Hertie-Institute for Clinical Brain Research
      Tübingen, Baden-Württemberg, Germany
  • 2002–2010
    • Università degli Studi di Messina
      • Dipartimento di Neuroscienze
      Messina, Sicily, Italy
  • 2008
    • Istituti Clinici di Perfezionamento
      Milano, Lombardy, Italy
  • 2007–2008
    • Catholic University of the Sacred Heart
      • Institute of Neurology
      Roma, Latium, Italy
  • 2001–2008
    • Università degli studi di Palermo
      • Dipartimento di Biomedicina Sperimentale e Neuroscienze Cliniche (BioNeC)
      Palermo, Sicily, Italy
    • Institute of Neurology
      Moskva, Moscow, Russia
  • 2006
    • Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta
      Milano, Lombardy, Italy
  • 2005–2006
    • Università Politecnica delle Marche
      • Chair of Biological Sciences
      Ancona, The Marches, Italy
  • 2002–2004
    • Università di Pisa
      • Department of Clinical and Experimental Medicine
      Pisa, Tuscany, Italy
  • 1989–1999
    • Mediterranean University of Reggio Calabria
      Reggio di Calabria, Calabria, Italy
  • 1991
    • Istituto delle Scienze Neurologiche, Ospedale Bellaria
      Bolonia, Emilia-Romagna, Italy
  • 1979–1984
    • Second University of Naples
      Caserta, Campania, Italy