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Browsing by Author "Piramide, Noemi (57204100648)"

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    Breakdown of the affective-cognitive network in functional dystonia
    (2020)
    Canu, Elisa (57226216136)
    ;
    Agosta, Federica (6701687853)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Petrovic, Igor (7004083314)
    ;
    Piramide, Noemi (57204100648)
    ;
    Svetel, Marina (6701477867)
    ;
    Inuggi, Alberto (8325245600)
    ;
    D. Miskovic, Natasa (59157743200)
    ;
    Kostic, Vladimir S. (57189017751)
    ;
    Filippi, Massimo (7202268530)
    Previous studies suggested that brain regions subtending affective-cognitive processes can be implicated in the pathophysiology of functional dystonia (FD). In this study, the role of the affective-cognitive network was explored in two phenotypes of FD: fixed (FixFD) and mobile dystonia (MobFD). We hypothesized that each of these phenotypes would show peculiar functional connectivity (FC) alterations in line with their divergent disease clinical expressions. Resting state fMRI (RS-fMRI) was obtained in 40 FD patients (12 FixFD; 28 MobFD) and 43 controls (14 young FixFD-age-matched [yHC]; 29 old MobFD-age-matched [oHC]). FC of brain regions of interest, known to be involved in affective-cognitive processes, and independent component analysis of RS-fMRI data to explore brain networks were employed. Compared to HC, all FD patients showed reduced FC between the majority of affective-cognitive seeds of interest and the fronto-subcortical and limbic circuits; enhanced FC between the right affective-cognitive part of the cerebellum and the bilateral associative parietal cortex; enhanced FC of the bilateral amygdala with the subcortical and posterior cortical brain regions; and altered FC between the left medial dorsal nucleus and the sensorimotor and associative brain regions (enhanced in MobFD and reduced in FixFD). Compared with yHC and MobFD patients, FixFD patients had an extensive pattern of reduced FC within the cerebellar network, and between the majority of affective-cognitive seeds of interest and the sensorimotor and high-order function (“cognitive”) areas with a unique involvement of dorsal anterior cingulate cortex connectivity. Brain FC within the affective-cognitive network is altered in FD and presented specific features associated with each FD phenotype, suggesting an interaction between brain connectivity and clinical expression of the disease. © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
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    Breakdown of the affective-cognitive network in functional dystonia
    (2020)
    Canu, Elisa (57226216136)
    ;
    Agosta, Federica (6701687853)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Petrovic, Igor (7004083314)
    ;
    Piramide, Noemi (57204100648)
    ;
    Svetel, Marina (6701477867)
    ;
    Inuggi, Alberto (8325245600)
    ;
    D. Miskovic, Natasa (59157743200)
    ;
    Kostic, Vladimir S. (57189017751)
    ;
    Filippi, Massimo (7202268530)
    Previous studies suggested that brain regions subtending affective-cognitive processes can be implicated in the pathophysiology of functional dystonia (FD). In this study, the role of the affective-cognitive network was explored in two phenotypes of FD: fixed (FixFD) and mobile dystonia (MobFD). We hypothesized that each of these phenotypes would show peculiar functional connectivity (FC) alterations in line with their divergent disease clinical expressions. Resting state fMRI (RS-fMRI) was obtained in 40 FD patients (12 FixFD; 28 MobFD) and 43 controls (14 young FixFD-age-matched [yHC]; 29 old MobFD-age-matched [oHC]). FC of brain regions of interest, known to be involved in affective-cognitive processes, and independent component analysis of RS-fMRI data to explore brain networks were employed. Compared to HC, all FD patients showed reduced FC between the majority of affective-cognitive seeds of interest and the fronto-subcortical and limbic circuits; enhanced FC between the right affective-cognitive part of the cerebellum and the bilateral associative parietal cortex; enhanced FC of the bilateral amygdala with the subcortical and posterior cortical brain regions; and altered FC between the left medial dorsal nucleus and the sensorimotor and associative brain regions (enhanced in MobFD and reduced in FixFD). Compared with yHC and MobFD patients, FixFD patients had an extensive pattern of reduced FC within the cerebellar network, and between the majority of affective-cognitive seeds of interest and the sensorimotor and high-order function (“cognitive”) areas with a unique involvement of dorsal anterior cingulate cortex connectivity. Brain FC within the affective-cognitive network is altered in FD and presented specific features associated with each FD phenotype, suggesting an interaction between brain connectivity and clinical expression of the disease. © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
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    Functional MRI connectivity of the primary motor cortex in functional dystonia patients
    (2022)
    Piramide, Noemi (57204100648)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Canu, Elisa (57226216136)
    ;
    Petrovic, Igor N. (7004083314)
    ;
    Svetel, Marina (6701477867)
    ;
    Basaia, Silvia (56830447300)
    ;
    Dragasevic Miskovic, Natasa (59157743200)
    ;
    Kostic, Vladimir S. (35239923400)
    ;
    Filippi, Massimo (7202268530)
    ;
    Agosta, Federica (6701687853)
    Background: Functional movement disorders include a wide spectrum of clinically documented movement disorders without an apparent organic substrate. Objective: To explore the functional connectivity (FC) of the primary motor (M1) cortex in functional dystonia (FD) patients relative to healthy controls, with a focus on different clinical phenotypes. Methods: Forty FD patients (12 fixed [FixFD]; 28 mobile [MobFD]) and 43 healthy controls (14 young FixFD-age-matched [yHC]; 29 old MobFD-age-matched [oHC]) underwent resting state fMRI. A seed-based FC analysis was performed using bilateral M1 as regions of interest. Results: Compared to controls, FD patients showed reduced FC between left M1 and left dorsal anterior cingulate cortex, and between right M1 and left M1, premotor/supplementary motor area (SMA), dorsal posterior cingulate cortex (PCC), and bilateral precuneus. Relative to yHC, FixFD patients showed reduced FC between M1 and precuneus bilaterally. Compared to oHC, MobFD patients revealed reduced FC between right M1 and left M1, premotor/SMA, dorsal-PCC, bilateral primary sensory cortices and parieto-occipital areas, and increased FC of right M1 with right associative visual cortex and bilateral ventral-PCC. FixFD patients, relative to MobFD, showed lower FC between the right M1 and right associative visual area, and bilateral precuneus and ventral-PCC. Conclusions: This study suggests an altered brain FC of the motor circuit with areas involved in emotional processes and sense of agency in FD. FixFD patients showed FC abnormalities mainly in areas related to sense of agency, while MobFD in regions involved in sensorimotor functions (reduced FC) and emotional processing (increased FC). © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.
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    Functional MRI connectivity of the primary motor cortex in functional dystonia patients
    (2022)
    Piramide, Noemi (57204100648)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Canu, Elisa (57226216136)
    ;
    Petrovic, Igor N. (7004083314)
    ;
    Svetel, Marina (6701477867)
    ;
    Basaia, Silvia (56830447300)
    ;
    Dragasevic Miskovic, Natasa (59157743200)
    ;
    Kostic, Vladimir S. (35239923400)
    ;
    Filippi, Massimo (7202268530)
    ;
    Agosta, Federica (6701687853)
    Background: Functional movement disorders include a wide spectrum of clinically documented movement disorders without an apparent organic substrate. Objective: To explore the functional connectivity (FC) of the primary motor (M1) cortex in functional dystonia (FD) patients relative to healthy controls, with a focus on different clinical phenotypes. Methods: Forty FD patients (12 fixed [FixFD]; 28 mobile [MobFD]) and 43 healthy controls (14 young FixFD-age-matched [yHC]; 29 old MobFD-age-matched [oHC]) underwent resting state fMRI. A seed-based FC analysis was performed using bilateral M1 as regions of interest. Results: Compared to controls, FD patients showed reduced FC between left M1 and left dorsal anterior cingulate cortex, and between right M1 and left M1, premotor/supplementary motor area (SMA), dorsal posterior cingulate cortex (PCC), and bilateral precuneus. Relative to yHC, FixFD patients showed reduced FC between M1 and precuneus bilaterally. Compared to oHC, MobFD patients revealed reduced FC between right M1 and left M1, premotor/SMA, dorsal-PCC, bilateral primary sensory cortices and parieto-occipital areas, and increased FC of right M1 with right associative visual cortex and bilateral ventral-PCC. FixFD patients, relative to MobFD, showed lower FC between the right M1 and right associative visual area, and bilateral precuneus and ventral-PCC. Conclusions: This study suggests an altered brain FC of the motor circuit with areas involved in emotional processes and sense of agency in FD. FixFD patients showed FC abnormalities mainly in areas related to sense of agency, while MobFD in regions involved in sensorimotor functions (reduced FC) and emotional processing (increased FC). © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.
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    Longitudinal brain connectivity changes and clinical evolution in Parkinson’s disease
    (2021)
    Filippi, Massimo (7202268530)
    ;
    Basaia, Silvia (56830447300)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Stojkovic, Tanja (57211211787)
    ;
    Stankovic, Iva (58775209600)
    ;
    Fontana, Andrea (35573405800)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Piramide, Noemi (57204100648)
    ;
    Stefanova, Elka (7004567022)
    ;
    Markovic, Vladana (55324145700)
    ;
    Kostic, Vladimir S. (57189017751)
    ;
    Agosta, Federica (6701687853)
    Longitudinal connectivity studies might guide our understanding of the underlying neurodegenerative processes. We report the results of a longitudinal study in patients at different stages of Parkinson’s disease (PD), who performed motor and non-motor evaluations and serial resting state (RS) functional MRI (fMRI). Cluster analysis was applied to demographic and clinical data of 146 PD patients to define disease subtypes. Brain network functional alterations were assessed at baseline in PD relative to 60 healthy controls and every year for a maximum of 4 years in PD groups. Progression of brain network changes were compared between patient clusters using RS fMRI. The contribution of network changes in predicting clinical deterioration was explored. Two main PD clusters were identified: mild PD (86 patients) and moderate-to-severe PD (60 patients), with the latter group being older and having earlier onset, longer PD duration, more severe motor, non-motor and cognitive deficits. Within the mild patient cluster, two clinical subtypes were further identified: mild motor-predominant (43) and mild-diffuse (43), with the latter being older and having more frequent non-motor symptoms. Longitudinal functional connectivity changes vary across patients in different disease stages with the coexistence of hypo- and hyper-connectivity in all subtypes. RS fMRI changes were associated with motor, cognitive and non-motor evolution in PD patients. Baseline RS fMRI presaged clinical and cognitive evolution. Our network perspective was able to define trajectories of functional architecture changes according to PD stages and prognosis. RS fMRI may be an early biomarker of PD motor and non-motor progression. © 2020, The Author(s), under exclusive licence to Springer Nature Limited.
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    Longitudinal brain connectivity changes and clinical evolution in Parkinson’s disease
    (2021)
    Filippi, Massimo (7202268530)
    ;
    Basaia, Silvia (56830447300)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Stojkovic, Tanja (57211211787)
    ;
    Stankovic, Iva (58775209600)
    ;
    Fontana, Andrea (35573405800)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Piramide, Noemi (57204100648)
    ;
    Stefanova, Elka (7004567022)
    ;
    Markovic, Vladana (55324145700)
    ;
    Kostic, Vladimir S. (57189017751)
    ;
    Agosta, Federica (6701687853)
    Longitudinal connectivity studies might guide our understanding of the underlying neurodegenerative processes. We report the results of a longitudinal study in patients at different stages of Parkinson’s disease (PD), who performed motor and non-motor evaluations and serial resting state (RS) functional MRI (fMRI). Cluster analysis was applied to demographic and clinical data of 146 PD patients to define disease subtypes. Brain network functional alterations were assessed at baseline in PD relative to 60 healthy controls and every year for a maximum of 4 years in PD groups. Progression of brain network changes were compared between patient clusters using RS fMRI. The contribution of network changes in predicting clinical deterioration was explored. Two main PD clusters were identified: mild PD (86 patients) and moderate-to-severe PD (60 patients), with the latter group being older and having earlier onset, longer PD duration, more severe motor, non-motor and cognitive deficits. Within the mild patient cluster, two clinical subtypes were further identified: mild motor-predominant (43) and mild-diffuse (43), with the latter being older and having more frequent non-motor symptoms. Longitudinal functional connectivity changes vary across patients in different disease stages with the coexistence of hypo- and hyper-connectivity in all subtypes. RS fMRI changes were associated with motor, cognitive and non-motor evolution in PD patients. Baseline RS fMRI presaged clinical and cognitive evolution. Our network perspective was able to define trajectories of functional architecture changes according to PD stages and prognosis. RS fMRI may be an early biomarker of PD motor and non-motor progression. © 2020, The Author(s), under exclusive licence to Springer Nature Limited.
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    Longitudinal clinical, cognitive, and neuroanatomical changes over 5 years in GBA-positive Parkinson’s disease patients
    (2022)
    Leocadi, Michela (57208226584)
    ;
    Canu, Elisa (57226216136)
    ;
    Donzuso, Giulia (41561290700)
    ;
    Stojkovic, Tanja (57211211787)
    ;
    Basaia, Silvia (56830447300)
    ;
    Kresojević, Nikola (26644117100)
    ;
    Stankovic, Iva (58775209600)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Piramide, Noemi (57204100648)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Markovic, Vladana (55324145700)
    ;
    Petrovic, Igor (7004083314)
    ;
    Stefanova, Elka (7004567022)
    ;
    Kostic, Vladimir S. (57189017751)
    ;
    Filippi, Massimo (7202268530)
    ;
    Agosta, Federica (6701687853)
    Objective: To study the longitudinal disease course of Parkinson’s disease (PD) patients with glucocerebrosidase (GBA) mutation (GBA-positive) compared to PD non-carriers (GBA-negative) along a 5-year follow-up, evaluating changes in clinical and cognitive outcomes, cortical thickness, and gray-matter (GM) volumes. Methods: Ten GBA-positive and 20 GBA-negative PD patients underwent clinical, neuropsychological, and MRI assessments (cortical thickness and subcortical, hippocampal, and amygdala volumes) at study entry and once a year for 5 years. At baseline and at the last visit, each group of patients was compared with 22 age-matched healthy controls. Clinical, cognitive, and MRI features were compared between groups at baseline and over time. Results: At baseline, GBA-positive and GBA-negative PD patients had similar clinical and cognitive profiles. Compared to GBA-negative and controls, GBA-positive patients showed cortical thinning of left temporal, parietal, and occipital gyri. Over time, compared to GBA-negative, GBA-positive PD patients progressed significantly in motor and cognitive symptoms, and showed a greater pattern of cortical thinning of posterior regions, and frontal and orbito-frontal cortices. After 5 years, compared to controls, GBA-negative PD patients showed a pattern of cortical thinning similar to that showed by GBA-positive cases at baseline. The two groups of patients showed similar patterns of subcortical, hippocampal, and amygdala volume loss over time. Conclusions: Compared to GBA-negative PD, GBA-positive patients experienced a more rapid motor and cognitive decline together with a greater, earlier and faster cortical thinning. Cortical thickness measures may be a useful tool for monitoring and predicting PD progression in accordance with the genetic background. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.
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    Longitudinal clinical, cognitive, and neuroanatomical changes over 5 years in GBA-positive Parkinson’s disease patients
    (2022)
    Leocadi, Michela (57208226584)
    ;
    Canu, Elisa (57226216136)
    ;
    Donzuso, Giulia (41561290700)
    ;
    Stojkovic, Tanja (57211211787)
    ;
    Basaia, Silvia (56830447300)
    ;
    Kresojević, Nikola (26644117100)
    ;
    Stankovic, Iva (58775209600)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Piramide, Noemi (57204100648)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Markovic, Vladana (55324145700)
    ;
    Petrovic, Igor (7004083314)
    ;
    Stefanova, Elka (7004567022)
    ;
    Kostic, Vladimir S. (57189017751)
    ;
    Filippi, Massimo (7202268530)
    ;
    Agosta, Federica (6701687853)
    Objective: To study the longitudinal disease course of Parkinson’s disease (PD) patients with glucocerebrosidase (GBA) mutation (GBA-positive) compared to PD non-carriers (GBA-negative) along a 5-year follow-up, evaluating changes in clinical and cognitive outcomes, cortical thickness, and gray-matter (GM) volumes. Methods: Ten GBA-positive and 20 GBA-negative PD patients underwent clinical, neuropsychological, and MRI assessments (cortical thickness and subcortical, hippocampal, and amygdala volumes) at study entry and once a year for 5 years. At baseline and at the last visit, each group of patients was compared with 22 age-matched healthy controls. Clinical, cognitive, and MRI features were compared between groups at baseline and over time. Results: At baseline, GBA-positive and GBA-negative PD patients had similar clinical and cognitive profiles. Compared to GBA-negative and controls, GBA-positive patients showed cortical thinning of left temporal, parietal, and occipital gyri. Over time, compared to GBA-negative, GBA-positive PD patients progressed significantly in motor and cognitive symptoms, and showed a greater pattern of cortical thinning of posterior regions, and frontal and orbito-frontal cortices. After 5 years, compared to controls, GBA-negative PD patients showed a pattern of cortical thinning similar to that showed by GBA-positive cases at baseline. The two groups of patients showed similar patterns of subcortical, hippocampal, and amygdala volume loss over time. Conclusions: Compared to GBA-negative PD, GBA-positive patients experienced a more rapid motor and cognitive decline together with a greater, earlier and faster cortical thinning. Cortical thickness measures may be a useful tool for monitoring and predicting PD progression in accordance with the genetic background. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.
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    MRI biomarkers of freezing of gait development in Parkinson’s disease
    (2022)
    Sarasso, Elisabetta (56830484100)
    ;
    Basaia, Silvia (56830447300)
    ;
    Cividini, Camilla (57197744667)
    ;
    Stojkovic, Tanja (57211211787)
    ;
    Stankovic, Iva (58775209600)
    ;
    Piramide, Noemi (57204100648)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Markovic, Vladana (55324145700)
    ;
    Stefanova, Elka (7004567022)
    ;
    Kostic, Vladimir S. (35239923400)
    ;
    Filippi, Massimo (7202268530)
    ;
    Agosta, Federica (6701687853)
    This study investigated longitudinal clinical, structural and functional brain alterations in Parkinson’s disease patients with freezing of gait (PD-FoG) and in those developing (PD-FoG-converters) and not developing FoG (PD-non-converters) over two years. Moreover, this study explored if any clinical and/or MRI metric predicts FoG development. Thirty PD-FoG, 11 PD-FoG-converters and 11 PD-non-converters were followed for two years. Thirty healthy controls were included at baseline. Participants underwent clinical and MRI visits. Cortical thickness, basal ganglia volumes and functional network graph metrics were evaluated at baseline and over time. In PD groups, correlations between baseline MRI and clinical worsening were tested. A ROC curve analysis investigated if baseline clinical and MRI measures, selected using a stepwise model procedure, could differentiate PD-FoG-converters from PD-non-converters. At baseline, PD-FoG patients had widespread cortical/subcortical atrophy, while PD-FoG-converters and non-converters showed atrophy in sensorimotor areas and basal ganglia relative to controls. Over time, PD-non-converters accumulated cortical thinning of left temporal pole and pallidum without significant clinical changes. PD-FoG-converters showed worsening of disease severity, executive functions, and mood together with an accumulation of occipital atrophy, similarly to PD-FoG. At baseline, PD-FoG-converters relative to controls and PD-FoG showed higher global and parietal clustering coefficient and global local efficiency. Over time, PD-FoG-converters showed reduced parietal clustering coefficient and sensorimotor local efficiency, PD-non-converters showed increased sensorimotor path length, while PD-FoG patients showed stable graph metrics. Stepwise prediction model including dyskinesia, postural instability and gait disorders scores and parietal clustering coefficient was the best predictor of FoG conversion. Combining clinical and MRI data, ROC curves provided the highest classification power to predict the conversion (AUC = 0.95, 95%CI: 0.86–1). Structural MRI is a useful tool to monitor PD progression, while functional MRI together with clinical features may be helpful to identify FoG conversion early. © 2022, The Author(s).
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    MRI biomarkers of freezing of gait development in Parkinson’s disease
    (2022)
    Sarasso, Elisabetta (56830484100)
    ;
    Basaia, Silvia (56830447300)
    ;
    Cividini, Camilla (57197744667)
    ;
    Stojkovic, Tanja (57211211787)
    ;
    Stankovic, Iva (58775209600)
    ;
    Piramide, Noemi (57204100648)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Markovic, Vladana (55324145700)
    ;
    Stefanova, Elka (7004567022)
    ;
    Kostic, Vladimir S. (35239923400)
    ;
    Filippi, Massimo (7202268530)
    ;
    Agosta, Federica (6701687853)
    This study investigated longitudinal clinical, structural and functional brain alterations in Parkinson’s disease patients with freezing of gait (PD-FoG) and in those developing (PD-FoG-converters) and not developing FoG (PD-non-converters) over two years. Moreover, this study explored if any clinical and/or MRI metric predicts FoG development. Thirty PD-FoG, 11 PD-FoG-converters and 11 PD-non-converters were followed for two years. Thirty healthy controls were included at baseline. Participants underwent clinical and MRI visits. Cortical thickness, basal ganglia volumes and functional network graph metrics were evaluated at baseline and over time. In PD groups, correlations between baseline MRI and clinical worsening were tested. A ROC curve analysis investigated if baseline clinical and MRI measures, selected using a stepwise model procedure, could differentiate PD-FoG-converters from PD-non-converters. At baseline, PD-FoG patients had widespread cortical/subcortical atrophy, while PD-FoG-converters and non-converters showed atrophy in sensorimotor areas and basal ganglia relative to controls. Over time, PD-non-converters accumulated cortical thinning of left temporal pole and pallidum without significant clinical changes. PD-FoG-converters showed worsening of disease severity, executive functions, and mood together with an accumulation of occipital atrophy, similarly to PD-FoG. At baseline, PD-FoG-converters relative to controls and PD-FoG showed higher global and parietal clustering coefficient and global local efficiency. Over time, PD-FoG-converters showed reduced parietal clustering coefficient and sensorimotor local efficiency, PD-non-converters showed increased sensorimotor path length, while PD-FoG patients showed stable graph metrics. Stepwise prediction model including dyskinesia, postural instability and gait disorders scores and parietal clustering coefficient was the best predictor of FoG conversion. Combining clinical and MRI data, ROC curves provided the highest classification power to predict the conversion (AUC = 0.95, 95%CI: 0.86–1). Structural MRI is a useful tool to monitor PD progression, while functional MRI together with clinical features may be helpful to identify FoG conversion early. © 2022, The Author(s).
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    Progressive brain atrophy and clinical evolution in Parkinson's disease
    (2020)
    Filippi, Massimo (7202268530)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Piramide, Noemi (57204100648)
    ;
    Stojkovic, Tanja (57211211787)
    ;
    Stankovic, Iva (58775209600)
    ;
    Basaia, Silvia (56830447300)
    ;
    Fontana, Andrea (35573405800)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Markovic, Vladana (55324145700)
    ;
    Stefanova, Elka (7004567022)
    ;
    Kostic, Vladimir S. (57189017751)
    ;
    Agosta, Federica (6701687853)
    Clinical manifestations and evolution are very heterogeneous among individuals with Parkinson's disease (PD). The aims of this study were to investigate the pattern of progressive brain atrophy in PD according to disease stage and to elucidate to what extent cortical thinning and subcortical atrophy are related to clinical motor and non-motor evolution. 154 patients at different PD stages were assessed over time using motor, non-motor and structural MRI evaluations for a maximum of 4 years. Cluster analysis defined clinical subtypes. Cortical thinning and subcortical atrophy were assessed at baseline in patients relative to 60 healthy controls. Longitudinal trends of brain atrophy progression were compared between PD clusters. The contribution of brain atrophy in predicting motor, non-motor, cognitive and mood deterioration was explored. Two main PD clusters were defined: mild (N = 87) and moderate-to-severe (N = 67). Two mild subtypes were further identified: mild motor-predominant (N = 43) and mild-diffuse (N = 44), with the latter group being older and having more severe non-motor and cognitive symptoms. The initial pattern of brain atrophy was more severe in patients with moderate-to-severe PD. Over time, mild-diffuse PD patients had the greatest brain atrophy accumulation in the cortex and the left hippocampus, while less distributed atrophy progression was observed in moderate-to-severe and mild motor-predominant patients. Baseline and 1-year cortical thinning was associated with long-term progression of motor, cognitive, non-motor and mood symptoms. Cortical and subcortical atrophy is accelerated early after the onset of PD and becomes prominent in later stages of disease according to the development of cognitive, non-motor and mood dysfunctions. Structural MRI may be useful for monitoring and predicting disease progression in PD. © 2020 The Authors
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    Progressive brain atrophy and clinical evolution in Parkinson's disease
    (2020)
    Filippi, Massimo (7202268530)
    ;
    Sarasso, Elisabetta (56830484100)
    ;
    Piramide, Noemi (57204100648)
    ;
    Stojkovic, Tanja (57211211787)
    ;
    Stankovic, Iva (58775209600)
    ;
    Basaia, Silvia (56830447300)
    ;
    Fontana, Andrea (35573405800)
    ;
    Tomic, Aleksandra (26654535200)
    ;
    Markovic, Vladana (55324145700)
    ;
    Stefanova, Elka (7004567022)
    ;
    Kostic, Vladimir S. (57189017751)
    ;
    Agosta, Federica (6701687853)
    Clinical manifestations and evolution are very heterogeneous among individuals with Parkinson's disease (PD). The aims of this study were to investigate the pattern of progressive brain atrophy in PD according to disease stage and to elucidate to what extent cortical thinning and subcortical atrophy are related to clinical motor and non-motor evolution. 154 patients at different PD stages were assessed over time using motor, non-motor and structural MRI evaluations for a maximum of 4 years. Cluster analysis defined clinical subtypes. Cortical thinning and subcortical atrophy were assessed at baseline in patients relative to 60 healthy controls. Longitudinal trends of brain atrophy progression were compared between PD clusters. The contribution of brain atrophy in predicting motor, non-motor, cognitive and mood deterioration was explored. Two main PD clusters were defined: mild (N = 87) and moderate-to-severe (N = 67). Two mild subtypes were further identified: mild motor-predominant (N = 43) and mild-diffuse (N = 44), with the latter group being older and having more severe non-motor and cognitive symptoms. The initial pattern of brain atrophy was more severe in patients with moderate-to-severe PD. Over time, mild-diffuse PD patients had the greatest brain atrophy accumulation in the cortex and the left hippocampus, while less distributed atrophy progression was observed in moderate-to-severe and mild motor-predominant patients. Baseline and 1-year cortical thinning was associated with long-term progression of motor, cognitive, non-motor and mood symptoms. Cortical and subcortical atrophy is accelerated early after the onset of PD and becomes prominent in later stages of disease according to the development of cognitive, non-motor and mood dysfunctions. Structural MRI may be useful for monitoring and predicting disease progression in PD. © 2020 The Authors

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