12 results on '"Elisa Canu"'
Search Results
2. Pallidal functional connectivity changes are associated with disgust recognition in pure motor amyotrophic lateral sclerosis
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Veronica Castelnovo, Elisa Canu, Maria Antonietta Magno, Elena Gatti, Nilo Riva, Debora Pain, Gabriele Mora, Barbara Poletti, Vincenzo Silani, Massimo Filippi, and Federica Agosta
- Subjects
Amyotrophic lateral sclerosis ,Pallidum ,Disgust ,Resting-state fMRI ,Functional connectivity ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
In the present study, we aimed to investigate the resting-state functional connectivity (RS-FC) of the globus pallidus (GP) in patients with amyotrophic lateral sclerosis (ALS) compared to healthy controls, and the relationship between RS-FC changes and disgust recognition. Twenty-six pure-motor ALS patients and 52 healthy controls underwent RS functional MRI and a neuropsychological assessment including the Comprehensive Affect Testing System. A seed-based RS-FC analysis was performed between the left and right GP and the rest of the brain and compared between groups. Correlations between RS-FC significant changes and subjects’ performance in recognizing disgust were tested. Compared to controls, patients were significantly less able to recognize disgust. In ALS compared to controls, the seed-based analysis showed: reduced RS-FC between bilateral GP and bilateral middle and superior frontal and middle cingulate gyri, and increased RS-FC between bilateral GP and bilateral postcentral, supramarginal and superior temporal gyri and Rolandic operculum. Decreased RS-FC was further observed between left GP and left middle and inferior temporal gyri and bilateral caudate; and increased RS-FC was also shown between right GP and left lingual and fusiform gyri. In patients and controls, lower performance in recognizing disgust correlated with reduced RS-FC between left GP and left middle and inferior temporal gyri. In pure-motor ALS patients, we demonstrated altered RS-FC between GP and the rest of the brain. The reduced left pallidum-temporo-striatal RS-FC may have a role in the lower ability of patients in recognizing disgust.
- Published
- 2022
- Full Text
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3. Brain activity of the emotional circuit in Parkinson’s disease patients with freezing of gait
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Elisabetta Sarasso, Federica Agosta, Noemi Piramide, Elisa Canu, Maria Antonietta Volontè, and Massimo Filippi
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Parkinson’s disease ,Freezing of gait ,Emotional circuit ,fMRI ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Objective: Emotional processes might influence freezing of gait (FoG) in Parkinson’s disease (PD) patients. We assessed brain functional MRI (fMRI) activity during a “FoG-observation-task” in PD-FoG patients relative to healthy controls. Methods: Twenty-four PD-FoG patients and 18 age- and sex-matched healthy controls performed clinical and neuropsychological evaluations, and fMRI experiments including: i) “FoG-observation-task” consisting of watching a patient experiencing FoG during a walking task (usually evoking FoG); ii) “gait-observation-task” consisting of watching a healthy subject performing similar walking tasks without experiencing FoG. Results: During both tasks, PD-FoG patients showed reduced activity of the fronto-parietal mirror neuron system (MNS) relative to controls. In the “FoG-observation-task” relative to the “gait-observation-task”, PD-FoG patients revealed an increased recruitment of the anterior medial prefrontal cortex and a reduced recruitment of the dorsomedial prefrontal cortex and hippocampus relative to controls. Healthy controls in the “FoG-observation-task” relative to the “gait-observation-task” showed increased recruitment of cognitive empathy areas and decreased activity of the fronto-parietal MNS. Conclusion: Our results suggest that when PD-FoG patients observe a subject experiencing FoG, there is an increased activity of brain areas involved in self-reflection emotional processes and a reduced activity of areas related to motor programming, executive functions and cognitive empathy. These findings support previous evidence on the critical role of the emotional circuit in the mechanisms underlying FoG.
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- 2021
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- View/download PDF
4. Impaired recognition of disgust in amyotrophic lateral sclerosis is related to basal ganglia involvement
- Author
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Veronica Castelnovo, Elisa Canu, Maria Antonietta Magno, Silvia Basaia, Nilo Riva, Barbara Poletti, Vincenzo Silani, Massimo Filippi, and Federica Agosta
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Amyotrophic lateral sclerosis ,Basal ganglia ,Disgust ,Emotions ,MRI ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
In the present study we investigated emotion recognition in pure motor amyotrophic lateral sclerosis (ALS) patients and its relationship with the integrity of basal ganglia, hippocampus and amygdala. Twenty ALS patients without either cognitive or behavioural impairment, and 52 matched healthy controls performed a neuropsychological assessment including the Comprehensive Affect Testing System (CATS) investigating emotion recognition. All participants underwent also a 3T brain MRI. Volumes of basal ganglia, hippocampus and amygdala bilaterally were measured using FIRST in FSL. Sociodemographic, cognitive and MRI data were compared between groups. In ALS patients, correlations between CATS significant findings, brain volumes, cognition, mood and behaviour were explored. ALS patients showed altered performances at the CATS total score and, among the investigated emotions, patients were significantly less able to recognize disgust compared with controls. No brain volumetric differences were observed between groups. In ALS patients, a lower performance in disgust recognition was related with a reduced volume of the left pallidum and a lower performance on the Edinburgh Cognitive and Behavioural ALS Screen. Cognitively/behaviourally unimpaired ALS patients showed impaired disgust recognition, which was associated with pallidum volume. The association with cognitive alterations may suggest impaired disgust recognition as an early marker of cognitive decline.
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- 2021
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5. Progression of brain functional connectivity and frontal cognitive dysfunction in ALS
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Veronica Castelnovo, Elisa Canu, Davide Calderaro, Nilo Riva, Barbara Poletti, Silvia Basaia, Federica Solca, Vincenzo Silani, Massimo Filippi, and Federica Agosta
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Amyotrophic lateral sclerosis ,Functional connectivity ,Resting-state fMRI ,Fronto-connected networks ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Objective: To investigate the progression of resting-state functional connectivity (rs-FC) changes in patients with amyotrophic lateral sclerosis (ALS) and their relationship with frontal cognitive alterations. Methods: This is a multicentre, observational and longitudinal study. At baseline and after six months, 25 ALS patients underwent 3D T1-weighted MRI, resting-state functional MRI (rs-fMRI), and the computerized Test of Attentional Performance (TAP). Using independent component analysis, rs-FC changes of brain networks involving connections to frontal lobes and their relationship with baseline cognitive scores and cognitive changes over time were assessed. With a seed-based approach, rs-FC longitudinal changes of the middle frontal gyrus (MFG) were also explored. Results: After six months, ALS patients showed an increased rs-FC of the left anterior cingulate, left middle frontal gyrus (MFG) and left superior frontal gyrus within the frontostriatal network, and of the left MFG, left supramarginal gyrus and right angular gyrus within the left frontoparietal network. Within the frontostriatal network, a worse baseline performance at TAP divided attention task was associated with an increased rs-FC over time in the left MFG and a worse baseline performance at the category fluency index was related with increased rs-FC over time in the left frontal superior gyrus. After six months, the seed-based rs-FC analysis of the MFG with the whole brain showed decreased rs-FC of the right MFG with frontoparietal regions in patients compared to controls. Conclusions: Rs-FC changes in ALS patients progressed over time within the frontostriatal and the frontoparietal networks and are related to frontal-executive dysfunction. The MFG seems a potential core region in the framework of a frontoparietal functional breakdown, which is typical of frontotemporal lobar degeneration. These findings offer new potential markers for monitoring extra-motor progression in ALS.
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- 2020
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6. Functional and structural brain networks in posterior cortical atrophy: A two-centre multiparametric MRI study
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Federica Agosta, Gorana Mandic-Stojmenovic, Elisa Canu, Tanja Stojkovic, Francesca Imperiale, Francesca Caso, Elka Stefanova, Massimiliano Copetti, Vladimir S. Kostic, and Massimo Filippi
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
This study identified structural and functional brain connectivity alterations in two independent samples of patients along the posterior cortical atrophy (PCA) disease course. Twenty-one PCA patients and 44 controls were recruited from two expert centres. Microstructural damage of white matter (WM) tracts was assessed using probabilistic tractography; resting state (RS) functional connectivity of brain networks was explored using a model free approach; grey matter (GM) atrophy was investigated using voxel-based morphometry. Compared with controls, common patterns of damage across PCA patients included: GM atrophy in the occipital-temporal-parietal regions; diffusion tensor (DT) MRI alterations of the corpus callosum and superior (SLF) and inferior longitudinal fasciculi (ILF) bilaterally; and decreased functional connectivity of the occipital gyri within the visual network and the precuneus and posterior cingulum within the default mode network (DMN). In PCA patients with longer disease duration and greater disease severity, WM damage extended to the cingulum and RS functional connectivity alterations spread within the frontal, dorsal attentive and salience networks. In PCA, reduced DMN functional connectivity was associated with SLF and ILF structural alterations. PCA patients showed distributed WM damage. Altered RS functional connectivity extends with disease worsening from occipital to temporo-parietal and frontostriatal regions, and this is likely to occur through WM connections. Future longitudinal studies are needed to establish trajectories of damage spreading in PCA and whether a combined DT MRI/RS functional MRI approach is promising in monitoring the disease progression. Keywords: Posterior cortical atrophy, White matter, Diffusion tensor MRI, Resting state functional connectivity, Default mode network, Visual network
- Published
- 2018
- Full Text
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7. Multiparametric MRI to distinguish early onset Alzheimer's disease and behavioural variant of frontotemporal dementia
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Elisa Canu, Federica Agosta, Gorana Mandic-Stojmenovic, Tanja Stojković, Elka Stefanova, Alberto Inuggi, Francesca Imperiale, Massimiliano Copetti, Vladimir S. Kostic, and Massimo Filippi
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
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. Keywords: Early onset Alzheimer's disease, Behavioural variant of frontotemporal dementia, Diagnosis, Cortical thickness, White matter (WM) damage, Resting state functional MRI
- Published
- 2017
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8. Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks
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Silvia Basaia, Federica Agosta, Luca Wagner, Elisa Canu, Giuseppe Magnani, Roberto Santangelo, and Massimo Filippi
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) based on a single cross-sectional brain structural MRI scan. Convolutional neural networks (CNNs) were applied on 3D T1-weighted images from ADNI and subjects recruited at our Institute (407 healthy controls [HC], 418 AD, 280 c-MCI, 533 stable MCI [s-MCI]). CNN performance was tested in distinguishing AD, c-MCI and s-MCI. High levels of accuracy were achieved in all the classifications, with the highest rates achieved in the AD vs HC classification tests using both the ADNI dataset only (99%) and the combined ADNI + non-ADNI dataset (98%). CNNs discriminated c-MCI from s-MCI patients with an accuracy up to 75% and no difference between ADNI and non-ADNI images. CNNs provide a powerful tool for the automatic individual patient diagnosis along the AD continuum. Our method performed well without any prior feature engineering and regardless the variability of imaging protocols and scanners, demonstrating that it is exploitable by not-trained operators and likely to be generalizable to unseen patient data. CNNs may accelerate the adoption of structural MRI in routine practice to help assessment and management of patients. Keywords: Alzheimer's disease, Mild cognitive impairment, Diagnosis, Prediction, Deep learning, Convolutional neural networks
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- 2019
- Full Text
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9. Principles of Behavioral and Cognitive Neurology
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Federica Agosta, Elisa Canu, Michela Leocadi, Veronica Castelnovo, Maria Antonietta Magno, Davide Calderaro, and Massimo Filippi
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- 2022
10. Functional and structural brain networks in posterior cortical atrophy: A two-centre multiparametric MRI study
- Author
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Tanja Stojkovic, Federica Agosta, Gorana Mandic-Stojmenovic, Massimiliano Copetti, Massimo Filippi, Elka Stefanova, Vladimir S. Kostic, Francesca Imperiale, Elisa Canu, Francesca Caso, Agosta, Federica, Mandic-Stojmenovic, Gorana, Canu, Elisa, Stojkovic, Tanja, Imperiale, Francesca, Caso, Francesca, Stefanova, Elka, Copetti, Massimiliano, Kostic, Vladimir S., and Filippi, Massimo
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Male ,Radiology, Nuclear Medicine and Imaging ,Precuneus ,Neuropsychological Tests ,Corpus callosum ,Diffusion tensor MRI ,lcsh:RC346-429 ,Cognition ,0302 clinical medicine ,Image Processing, Computer-Assisted ,Default mode network ,Brain Mapping ,White matter ,05 social sciences ,Brain ,Regular Article ,Visual network ,Neurodegenerative Diseases ,Middle Aged ,Magnetic Resonance Imaging ,Diffusion Tensor Imaging ,medicine.anatomical_structure ,Neurology ,lcsh:R858-859.7 ,Female ,Cognitive Neuroscience ,Grey matter ,lcsh:Computer applications to medicine. Medical informatics ,050105 experimental psychology ,03 medical and health sciences ,medicine ,Humans ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,lcsh:Neurology. Diseases of the nervous system ,Aged ,Resting state fMRI ,business.industry ,Posterior cortical atrophy ,Resting state functional connectivity ,Neurology (clinical) ,Atrophy ,Nerve Net ,business ,Neuroscience ,030217 neurology & neurosurgery ,Diffusion MRI - Abstract
This study identified structural and functional brain connectivity alterations in two independent samples of patients along the posterior cortical atrophy (PCA) disease course. Twenty-one PCA patients and 44 controls were recruited from two expert centres. Microstructural damage of white matter (WM) tracts was assessed using probabilistic tractography; resting state (RS) functional connectivity of brain networks was explored using a model free approach; grey matter (GM) atrophy was investigated using voxel-based morphometry. Compared with controls, common patterns of damage across PCA patients included: GM atrophy in the occipital-temporal-parietal regions; diffusion tensor (DT) MRI alterations of the corpus callosum and superior (SLF) and inferior longitudinal fasciculi (ILF) bilaterally; and decreased functional connectivity of the occipital gyri within the visual network and the precuneus and posterior cingulum within the default mode network (DMN). In PCA patients with longer disease duration and greater disease severity, WM damage extended to the cingulum and RS functional connectivity alterations spread within the frontal, dorsal attentive and salience networks. In PCA, reduced DMN functional connectivity was associated with SLF and ILF structural alterations. PCA patients showed distributed WM damage. Altered RS functional connectivity extends with disease worsening from occipital to temporo-parietal and frontostriatal regions, and this is likely to occur through WM connections. Future longitudinal studies are needed to establish trajectories of damage spreading in PCA and whether a combined DT MRI/RS functional MRI approach is promising in monitoring the disease progression., Highlights • PCA patients showed distributed WM damage. • In PCA, WM damage is associated with longer disease duration ad greater severity. • In PCA, altered RS functional connectivity extends with disease worsening.
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- 2018
11. Cognitive and behaviorial features of a cohort of patients in COVID-19 post-acute phase
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Giacomo Giacalone, Elisa Canu, Alessandra Barbieri, Massimo Filippi, Luisa Roveri, Federica Agosta, Patrizia Rovere Querini, Monica Falautano, Maria Paola Bernasconi, Giordano Cecchetti, Marco Vabanesi, and Veronica Castelnovo
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Pediatrics ,medicine.medical_specialty ,Neurology ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Phase (matter) ,Cohort ,Medicine ,Cognition ,Neurology (clinical) ,business ,Article - Published
- 2021
12. Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks
- Author
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Elisa Canu, Federica Agosta, Luca Wagner, Giuseppe Magnani, Massimo Filippi, Silvia Basaia, Roberto Santangelo, Basaia, Silvia, Agosta, Federica, Wagner, Luca, Canu, Elisa, Magnani, Giuseppe, Santangelo, Roberto, and Filippi, Massimo
- Subjects
Feature engineering ,Male ,Radiology, Nuclear Medicine and Imaging ,Computer science ,Cognitive Neuroscience ,Convolutional neural network ,Disease ,lcsh:Computer applications to medicine. Medical informatics ,lcsh:RC346-429 ,050105 experimental psychology ,Article ,03 medical and health sciences ,0302 clinical medicine ,Alzheimer Disease ,mental disorders ,Diagnosis ,Humans ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,Cognitive Dysfunction ,Mri scan ,Cognitive impairment ,lcsh:Neurology. Diseases of the nervous system ,Aged ,Aged, 80 and over ,business.industry ,Deep learning ,05 social sciences ,Mild cognitive impairment ,Pattern recognition ,Alzheimer's disease ,Middle Aged ,Magnetic Resonance Imaging ,Patient diagnosis ,Neurology ,Disease Progression ,lcsh:R858-859.7 ,Deep neural networks ,Convolutional neural networks ,Female ,Neurology (clinical) ,Artificial intelligence ,Neural Networks, Computer ,business ,Prediction ,030217 neurology & neurosurgery ,Diagnosi - Abstract
We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) based on a single cross-sectional brain structural MRI scan. Convolutional neural networks (CNNs) were applied on 3D T1-weighted images from ADNI and subjects recruited at our Institute (407 healthy controls [HC], 418 AD, 280 c-MCI, 533 stable MCI [s-MCI]). CNN performance was tested in distinguishing AD, c-MCI and s-MCI. High levels of accuracy were achieved in all the classifications, with the highest rates achieved in the AD vs HC classification tests using both the ADNI dataset only (99%) and the combined ADNI + non-ADNI dataset (98%). CNNs discriminated c-MCI from s-MCI patients with an accuracy up to 75% and no difference between ADNI and non-ADNI images. CNNs provide a powerful tool for the automatic individual patient diagnosis along the AD continuum. Our method performed well without any prior feature engineering and regardless the variability of imaging protocols and scanners, demonstrating that it is exploitable by not-trained operators and likely to be generalizable to unseen patient data. CNNs may accelerate the adoption of structural MRI in routine practice to help assessment and management of patients., HIGHLIGHTS • CNNs predict AD and MCI with high accuracy based on a single T1-weighted image • CNNs discriminate c-MCI from s-MCI patients with an accuracy up to 75% • CNNs are exploitable by not-trained operators • CNNs are likely to be generalizable to unseen patient data
- Published
- 2018
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