6 results on '"Manners, David Neil"'
Search Results
2. Brain functional connectivity in sleep-related hypermotor epilepsy
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Evangelisti, Stefania, primary, Testa, Claudia, additional, Ferri, Lorenzo, additional, Gramegna, Laura Ludovica, additional, Manners, David Neil, additional, Rizzo, Giovanni, additional, Remondini, Daniel, additional, Castellani, Gastone, additional, Naldi, Ilaria, additional, Bisulli, Francesca, additional, Tonon, Caterina, additional, Tinuper, Paolo, additional, and Lodi, Raffaele, additional
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- 2018
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3. Accuracy of MR markers for differentiating Progressive Supranuclear Palsy from Parkinson's disease
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Zanigni, Stefano, primary, Calandra-Buonaura, Giovanna, additional, Manners, David Neil, additional, Testa, Claudia, additional, Gibertoni, Dino, additional, Evangelisti, Stefania, additional, Sambati, Luisa, additional, Guarino, Maria, additional, De Massis, Patrizia, additional, Gramegna, Laura Ludovica, additional, Bianchini, Claudio, additional, Rucci, Paola, additional, Cortelli, Pietro, additional, Lodi, Raffaele, additional, and Tonon, Caterina, additional
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- 2016
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4. Relationship of white and gray matter abnormalities to clinical and genetic features in myotonic dystrophy type 1
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Zanigni, Stefano, primary, Evangelisti, Stefania, additional, Giannoccaro, Maria Pia, additional, Oppi, Federico, additional, Poda, Roberto, additional, Giorgio, Antonio, additional, Testa, Claudia, additional, Manners, David Neil, additional, Avoni, Patrizia, additional, Gramegna, Laura Ludovica, additional, De Stefano, Nicola, additional, Lodi, Raffaele, additional, Tonon, Caterina, additional, and Liguori, Rocco, additional
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- 2016
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5. Relationship of white and gray matter abnormalities to clinical and genetic features in myotonic dystrophy type 1
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Nicola De Stefano, Rocco Liguori, Roberto Poda, David Neil Manners, Antonio Giorgio, Patrizia Avoni, Stefania Evangelisti, Federico Oppi, Maria Pia Giannoccaro, Caterina Tonon, Claudia Testa, Laura Ludovica Gramegna, Raffaele Lodi, Stefano Zanigni, Zanigni, Stefano, Evangelisti, Stefania, Giannoccaro, Maria Pia, Oppi, Federico, Poda, Roberto, Giorgio, Antonio, Testa, Claudia, Manners, David Neil, Avoni, Patrizia, Gramegna, Laura Ludovica, De Stefano, Nicola, Lodi, Raffaele, Tonon, Caterina, and Liguori, Rocco
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Male ,0301 basic medicine ,Pathology ,Neurology ,Neuropsychological Tests ,Severity of Illness Index ,Brain mapping ,lcsh:RC346-429 ,0302 clinical medicine ,Nuclear Medicine and Imaging ,Myotonic Dystrophy ,Gray Matter ,cortical thickne ,VBM ,cortical thickness ,DTI ,myotonic dystrophy type 1 ,TBSS ,Neurology (clinical) ,Radiology, Nuclear Medicine and Imaging ,Cognitive Neuroscience ,Brain Mapping ,medicine.diagnostic_test ,Myotonin-protein kinase ,Neuropsychology ,Regular Article ,Middle Aged ,Magnetic Resonance Imaging ,White Matter ,medicine.anatomical_structure ,lcsh:R858-859.7 ,Female ,Radiology ,Psychology ,Adult ,musculoskeletal diseases ,congenital, hereditary, and neonatal diseases and abnormalities ,medicine.medical_specialty ,lcsh:Computer applications to medicine. Medical informatics ,Myotonic dystrophy ,Myotonin-Protein Kinase ,Statistics, Nonparametric ,White matter ,03 medical and health sciences ,Imaging, Three-Dimensional ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,lcsh:Neurology. Diseases of the nervous system ,Magnetic resonance imaging ,medicine.disease ,030104 developmental biology ,Case-Control Studies ,Trinucleotide Repeat Expansion ,Trinucleotide repeat expansion ,030217 neurology & neurosurgery - Abstract
Background Myotonic dystrophy type 1 (DM1) represents a multisystemic disorder in which diffuse brain white and gray matter alterations related to clinical and genetic features have been described. We aimed to evaluate in the brain of adult patients with DM1 (i) white and gray matter differences, including cortical-subcortical gray matter volume and cortical thickness and (ii) their correlation with clinical disability, global neuropsychological performance and triplet expansion. Methods We included 24 adult genetically-confirmed DM1 patients (14 males; age: 38.5 ± 11.8 years) and 25 age- and sex-matched healthy controls (14 males; age: 38.5 ± 11.3 years) who underwent an identical brain MR protocol including high-resolution 3D T1-weighted, axial T2 FLAIR and DTI sequences. All patients underwent an extensive clinical and neuropsychological evaluation. Voxel-wise analyses of white matter, performed by using Tract Based Spatial Statistics, and of gray matter, with Voxel-based Morphometry and Cortical Thickness, were carried out in order to test for differences between patients with DM1 and healthy controls (p, Highlights • We investigated DM1 brain abnormalities with TBSS, VBM and cortical thickness analysis. • White matter lesion refilling has been performed to improve voxel-wise analyses. • All patients have been evaluated using a clinical scale created ad hoc for DM1. • DM1 patients present diffuse white and cortical-subcortical gray matter disruption. • White matter differences are correlated with clinical and genetic features.
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- 2016
6. Accuracy of MR markers for differentiating Progressive Supranuclear Palsy from Parkinson's disease
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Paola Rucci, David Neil Manners, Claudia Testa, Stefania Evangelisti, Caterina Tonon, Maria Guarino, Giovanna Calandra-Buonaura, Laura Ludovica Gramegna, Raffaele Lodi, Stefano Zanigni, Claudio Bianchini, Luisa Sambati, Dino Gibertoni, Patrizia De Massis, Pietro Cortelli, Zanigni, Stefano, Calandra-Buonaura, Giovanna, Manners, David Neil, Testa, Claudia, Gibertoni, Dino, Evangelisti, Stefania, Sambati, Luisa, Guarino, Maria, De Massis, Patrizia, Gramegna, Laura Ludovica, Bianchini, Claudio, Rucci, Paola, Cortelli, Pietro, Lodi, Raffaele, and Tonon, Caterina
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Male ,PD, idiopathic Parkinson's disease ,Parkinson's disease ,Neurology ,MCP, middle cerebellar peduncle ,Disease ,Brain mapping ,lcsh:RC346-429 ,030218 nuclear medicine & medical imaging ,AUC, area under the curve ,0302 clinical medicine ,MRPI, MR Parkinsonism Index ,Image Processing, Computer-Assisted ,Longitudinal Studies ,Aged, 80 and over ,Brain Mapping ,medicine.diagnostic_test ,Brain ,Regular Article ,ROC, receiver operating characteristics ,Parkinson Disease ,Middle Aged ,Magnetic Resonance Imaging ,MD, Mean Diffusivity ,DTI ,lcsh:R858-859.7 ,Female ,Supranuclear Palsy, Progressive ,Psychology ,MRI ,medicine.medical_specialty ,Cognitive Neuroscience ,SCP, superior cerebellar peduncle ,Cognitive neuroscience ,lcsh:Computer applications to medicine. Medical informatics ,behavioral disciplines and activities ,Progressive supranuclear palsy ,03 medical and health sciences ,mental disorders ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,lcsh:Neurology. Diseases of the nervous system ,Aged ,Retrospective Studies ,FA, Fractional Anisotropy ,Progressive Supranuclear Palsy ,Morphometry ,P/M, pons to midbrain ratio ,Magnetic resonance imaging ,Retrospective cohort study ,medicine.disease ,eye diseases ,nervous system diseases ,PSP-RS, Progressive Supranuclear Palsy-Richardson's Syndrome ,ROC Curve ,nervous system ,Neurology (clinical) ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Background Advanced brain MR techniques are useful tools for differentiating Progressive Supranuclear Palsy from Parkinson's disease, although time-consuming and unlikely to be used all together in routine clinical work. We aimed to compare the diagnostic accuracy of quantitative morphometric, volumetric and DTI metrics for differentiating Progressive Supranuclear Palsy-Richardson's Syndrome from Parkinson's disease. Methods 23 Progressive Supranuclear Palsy-Richardson's Syndrome and 42 Parkinson's disease patients underwent a standardized 1.5T brain MR protocol comprising high-resolution T1W1 and DTI sequences. Brainstem and cerebellar peduncles morphometry, automated volumetric analysis of brain deep gray matter and DTI metric analyses of specific brain structures were carried out. We determined diagnostic accuracy, sensitivity and specificity of MR-markers with respect to the clinical diagnosis by using univariate receiver operating characteristics curve analyses. Age-adjusted multivariate receiver operating characteristics analyses were then conducted including only MR-markers with a sensitivity and specificity exceeding 80%. Results Morphometric markers (midbrain area, pons to midbrain area ratio and MR Parkinsonism Index), DTI parameters (infratentorial structures) and volumetric analysis (thalamus, putamen and pallidus nuclei) presented moderate to high diagnostic accuracy in discriminating Progressive Supranuclear Palsy-Richardson's Syndrome from Parkinson's disease, with midbrain area showing the highest diagnostic accuracy (99%) (mean ± standard deviation: 75.87 ± 16.95 mm2vs 132.45 ± 20.94 mm2, respectively; p, Highlights • We compared quantitative brain MR markers accuracy to differentiate advanced stages of PSP-RS from PD. • Quantitative morphometric, DTI and volumetric data showed moderate-high accuracies. • Midbrain area alone best discriminated advanced PSP-RS from PD (99%). • Midbrain area evaluation should be added to brain MR protocols for parkinsonisms.
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