Browsing by Author "Imperiale, Francesca (55632966200)"
Now showing 1 - 5 of 5
- Results Per Page
- Sort Options
- Some of the metrics are blocked by yourconsent settings
Publication Multiparametric MRI to distinguish early onset Alzheimer's disease and behavioural variant of frontotemporal dementia(2017) ;Canu, Elisa (25225458900) ;Agosta, Federica (6701687853) ;Mandic-Stojmenovic, Gorana (55780903300) ;Stojković, Tanja (57211211787) ;Stefanova, Elka (7004567022) ;Inuggi, Alberto (8325245600) ;Imperiale, Francesca (55632966200) ;Copetti, Massimiliano (24474249000) ;Kostic, Vladimir S. (57189017751)Filippi, Massimo (7202268530)This prospective study explored whether an approach combining structural [cortical thickness and white matter (WM) microstructure] and resting state functional MRI can aid differentiation between 62 early onset Alzheimer's disease (EOAD) and 27 behavioural variant of frontotemporal dementia (bvFTD) patients. Random forest and receiver operator characteristic curve analyses assessed the ability of MRI in classifying the two clinical syndromes. All patients showed a distributed pattern of brain alterations relative to controls. Compared to bvFTD, EOAD patients showed bilateral inferior parietal cortical thinning and decreased default mode network functional connectivity. Compared to EOAD, bvFTD patients showed bilateral orbitofrontal and temporal cortical thinning, and WM damage of the corpus callosum, bilateral uncinate fasciculus, and left superior longitudinal fasciculus. Random forest analysis revealed that left inferior parietal cortical thickness (accuracy 0.78, specificity 0.76, sensitivity 0.83) and WM integrity of the right uncinate fasciculus (accuracy 0.81, specificity 0.96, sensitivity 0.43) were the best predictors of clinical diagnosis. The combination of cortical thickness and DT MRI measures was able to distinguish patients with EOAD and bvFTD with accuracy 0.82, specificity 0.76, and sensitivity 0.96. The diagnostic ability of MRI models was confirmed in a subsample of patients with biomarker-based clinical diagnosis. Multiparametric MRI is useful to identify brain alterations which are specific to EOAD and bvFTD. A severe cortical involvement is suggestive of EOAD, while a prominent WM damage is indicative of bvFTD. © 2017 The Authors - Some of the metrics are blocked by yourconsent settings
Publication Multiparametric MRI to distinguish early onset Alzheimer's disease and behavioural variant of frontotemporal dementia(2017) ;Canu, Elisa (25225458900) ;Agosta, Federica (6701687853) ;Mandic-Stojmenovic, Gorana (55780903300) ;Stojković, Tanja (57211211787) ;Stefanova, Elka (7004567022) ;Inuggi, Alberto (8325245600) ;Imperiale, Francesca (55632966200) ;Copetti, Massimiliano (24474249000) ;Kostic, Vladimir S. (57189017751)Filippi, Massimo (7202268530)This prospective study explored whether an approach combining structural [cortical thickness and white matter (WM) microstructure] and resting state functional MRI can aid differentiation between 62 early onset Alzheimer's disease (EOAD) and 27 behavioural variant of frontotemporal dementia (bvFTD) patients. Random forest and receiver operator characteristic curve analyses assessed the ability of MRI in classifying the two clinical syndromes. All patients showed a distributed pattern of brain alterations relative to controls. Compared to bvFTD, EOAD patients showed bilateral inferior parietal cortical thinning and decreased default mode network functional connectivity. Compared to EOAD, bvFTD patients showed bilateral orbitofrontal and temporal cortical thinning, and WM damage of the corpus callosum, bilateral uncinate fasciculus, and left superior longitudinal fasciculus. Random forest analysis revealed that left inferior parietal cortical thickness (accuracy 0.78, specificity 0.76, sensitivity 0.83) and WM integrity of the right uncinate fasciculus (accuracy 0.81, specificity 0.96, sensitivity 0.43) were the best predictors of clinical diagnosis. The combination of cortical thickness and DT MRI measures was able to distinguish patients with EOAD and bvFTD with accuracy 0.82, specificity 0.76, and sensitivity 0.96. The diagnostic ability of MRI models was confirmed in a subsample of patients with biomarker-based clinical diagnosis. Multiparametric MRI is useful to identify brain alterations which are specific to EOAD and bvFTD. A severe cortical involvement is suggestive of EOAD, while a prominent WM damage is indicative of bvFTD. © 2017 The Authors - Some of the metrics are blocked by yourconsent settings
Publication Role of habenula and amygdala dysfunction in Parkinson disease patients with punding(2017) ;Markovic, Vladana (55324145700) ;Agosta, Federica (6701687853) ;Canu, Elisa (25225458900) ;Inuggi, Alberto (8325245600) ;Petrovic, Igor (7004083314) ;Stankovic, Iva (58775209600) ;Imperiale, Francesca (55632966200) ;Stojkovic, Tanja (57211211787) ;Kostic, Vladimir S. (57189017751)Filippi, Massimo (7202268530)Objective: To assess whether a functional dysregulation of the habenula and amygdala, as modulators of the reward brain circuit, contributes to Parkinson disease (PD) punding. Methods: Structural and resting-state functional MRI were obtained from 22 patients with PD punding, 30 patients with PD without any impulsive-compulsive behavior (ICB) matched for disease stage and duration, motor impairment, and cognitive status, and 30 healthy controls. Resting-state functional connectivity of the habenula and amygdala bilaterally was assessed using a seed-based approach. Habenula and amygdala volumes and cortical thickness measures were obtained. Results: Compared to both healthy controls and PD cases without any ICB (PD-no ICB), PD-punding patients showed higher functional connectivity of habenula and amygdala with thalamus and striatum bilaterally, and lower connectivity between bilateral habenula and left frontal and precentral cortices. In PD-punding relative to PD-no ICB patients, a lower functional connectivity between right amygdala and hippocampus was also observed. Habenula and amygdala volumes were not different among groups. PD-punding patients showed a cortical thinning of the left superior frontal and precentral gyri and right middle temporal gyrus and isthmus cingulate compared to healthy controls, and of the right inferior frontal gyrus compared to both controls and PD-no ICB patients. Conclusions: A breakdown of the connectivity among the crucial nodes of the reward circuit (i.e., habenula, amygdala, basal ganglia, frontal cortex) might be a contributory factor to punding in PD. This study provides potential instruments to detect and monitor punding in patients with PD. © 2017 American Academy of Neurology. - Some of the metrics are blocked by yourconsent settings
Publication White matter tract alterations in Parkinson's disease patients with punding(2017) ;Canu, Elisa (25225458900) ;Agosta, Federica (6701687853) ;Markovic, Vladana (55324145700) ;Petrovic, Igor (7004083314) ;Stankovic, Iva (58775209600) ;Imperiale, Francesca (55632966200) ;Stojkovic, Tanja (57211211787) ;Copetti, Massimiliano (24474249000) ;Kostic, Vladimir S. (57189017751)Filippi, Massimo (7202268530)Objective To assess brain white matter tract alterations in patients with Parkinson's disease and punding (PD-punding) compared with controls and PD cases without any impulsive-compulsive behaviour. Methods Forty-nine PD patients (21 PD-punding and 28 PD with no impulsive-compulsive behaviours) and 28 controls were consecutively recruited. Clinical, cognitive and psychopathological evaluations were performed. Diffusion tensor MRI metrics of the main white matter tracts were assessed using a tractography approach. Results Compared with controls, both PD groups showed white matter microstructural alterations of the left pedunculopontine tract and splenium of the corpus callosum. PD-punding patients showed a further damage to the right pedunculopontine tract and uncinate fasciculus, genu of the corpus callosum, and left parahippocampal tract relative to controls. When adjusting for depression and/or apathy severity, a greater damage of the genu of the corpus callosum and the left pedunculopontine tract was found in PD-punding compared with patients with no impulsive-compulsive behaviours. Conclusions PD-punding is associated with a disconnection between midbrain, limbic and white matter tracts projecting to the frontal cortices. These alterations are at least partially independent of their psychopathological changes. Diffusion tensor MRI is a powerful tool for understanding the neural substrates underlying punding in PD. © 2017 Elsevier Ltd - Some of the metrics are blocked by yourconsent settings
Publication White matter tract alterations in Parkinson's disease patients with punding(2017) ;Canu, Elisa (25225458900) ;Agosta, Federica (6701687853) ;Markovic, Vladana (55324145700) ;Petrovic, Igor (7004083314) ;Stankovic, Iva (58775209600) ;Imperiale, Francesca (55632966200) ;Stojkovic, Tanja (57211211787) ;Copetti, Massimiliano (24474249000) ;Kostic, Vladimir S. (57189017751)Filippi, Massimo (7202268530)Objective To assess brain white matter tract alterations in patients with Parkinson's disease and punding (PD-punding) compared with controls and PD cases without any impulsive-compulsive behaviour. Methods Forty-nine PD patients (21 PD-punding and 28 PD with no impulsive-compulsive behaviours) and 28 controls were consecutively recruited. Clinical, cognitive and psychopathological evaluations were performed. Diffusion tensor MRI metrics of the main white matter tracts were assessed using a tractography approach. Results Compared with controls, both PD groups showed white matter microstructural alterations of the left pedunculopontine tract and splenium of the corpus callosum. PD-punding patients showed a further damage to the right pedunculopontine tract and uncinate fasciculus, genu of the corpus callosum, and left parahippocampal tract relative to controls. When adjusting for depression and/or apathy severity, a greater damage of the genu of the corpus callosum and the left pedunculopontine tract was found in PD-punding compared with patients with no impulsive-compulsive behaviours. Conclusions PD-punding is associated with a disconnection between midbrain, limbic and white matter tracts projecting to the frontal cortices. These alterations are at least partially independent of their psychopathological changes. Diffusion tensor MRI is a powerful tool for understanding the neural substrates underlying punding in PD. © 2017 Elsevier Ltd
