A5088286891- Machine Learning in Healthcare
- Dementia and Cognitive Impairment Research
- Advanced MRI Techniques and Applications
- Bayesian Methods and Mixture Models
- Glioma Diagnosis and Treatment
- Advanced Neuroimaging Techniques and Applications
- Alzheimer's disease research and treatments
- Medical Imaging Techniques and Applications
- Epilepsy research and treatment
- Statistical Methods and Inference
- Mitochondrial Function and Pathology
- Generative Adversarial Networks and Image Synthesis
- AI in cancer detection
- Health Systems, Economic Evaluations, Quality of Life
- Functional Brain Connectivity Studies
- Radiomics and Machine Learning in Medical Imaging
- Metabolism and Genetic Disorders
- Gene expression and cancer classification
- Sports injuries and prevention
- Bioinformatics and Genomic Networks
- Healthcare cost, quality, practices
- Healthcare Policy and Management
- Domain Adaptation and Few-Shot Learning
- Peripheral Nerve Disorders
- Traumatic Brain Injury and Neurovascular Disturbances
Fondazione IRCCS Istituto Neurologico Carlo Besta
2016-2023
Relight (Italy)
2023
Institut national de recherche en informatique et en automatique
2018-2021
Université Côte d'Azur
2019-2020
University Hospital of Geneva
2016
Brescia University
2015
University of Brescia
2015
Centro San Giovanni di Dio Fatebenefratelli
2015
University of Geneva
2015
Abstract Background The European Alzheimer's Disease Consortium and Neuroimaging Initiative (ADNI) Harmonized Protocol (HarP) is a Delphi definition of manual hippocampal segmentation from magnetic resonance imaging (MRI) that can be used as the standard truth to train new tracers, validate automated algorithms. Training requires large representative data sets segmented hippocampi. This work aims produce set HarP labels for proper training certification tracers Methods Sixty‐eight 1.5 T 67 3...
Abstract Background In the field of Alzheimer's disease ( AD ), validation biomarkers for early diagnosis and use as a surrogate outcome in clinical trials is considerable research interest. Objective To characterize profile genetic, neuroimaging neurophysiological prodromal amnestic mild cognitive impairment aMCI ) patients enrolled IMI WP 5 PharmaCog (also referred to European ADNI study). Methods A total 147 were 13 memory clinics. Patients underwent neuropsychological evaluation,...
Objective To compare the diagnostic value of striatal 123 I‐2β‐carbomethoxy‐3β‐(4‐iodophenyl)‐ N ‐(3‐fluoropropyl) nortropane ( I‐FP‐CIT) single photon emission computed tomography (SPECT) and I‐metaiodobenzylguanidine I‐MIBG) myocardial scintigraphy in differentiating dementia with Lewy bodies (DLB) from other types. Methods This prospective longitudinal study included 30 patients a clinical diagnosis DLB 29 non‐DLB (Alzheimer disease, n = 16; behavioral variant frontotemporal dementia,...
Abstract Recently, there has been an increased interest in the use of automatically segmented subfields human hippocampal formation derived from magnetic resonance imaging (MRI). However, little is known about test‐retest reproducibility such measures, particularly context multisite studies. Here, we report automated Freesurfer segmentations 65 healthy elderly enrolled a consortium 13 3T MRI sites (five subjects per site). Participants were scanned two sessions (test and retest) at least one...
Abstract It has been suggested that the inferior longitudinal fasciculus (ILF) may play an important role in several aspects of language processing such as visual object recognition, memory, lexical retrieval, reading, and specifically, naming stimuli. In particular, ILF appears to convey information from occipital lobe anterior temporal (ATL). However, direct evidence proving essential semantics remains limited controversial. The first aim this study was prove patients with a brain glioma...
Objective: Mechanisms of motor plasticity are critical to maintain functions after cerebral damage. This study explores the mechanisms reorganization occurring before and surgery in four patients with drug-refractory epilepsy candidate disconnective surgery. Methods: We studied early damage, who underwent tailored hemispheric adulthood, removing cortical areas disconnecting corticospinal tract (CST) from affected hemisphere. Motor were assessed clinically, functional MRI (fMRI) tasks arm leg...
Beliefs of dementia experts about the pathogenic role amyloid in Alzheimer's disease (AD) may affect use positron emission tomography (PET).To assess attributed to AD pathogenesis by Italian experts, and whether this modulates impact PET results their diagnostic workup.22 rated beliefs amyloid. Then, we asked them rate probability change diagnosis based on result for 7 case vignettes, depicting patients who initially received a comprehensive workup later consistent or inconsistent with...
Automated voxel-based analysis methods are used to detect cortical hypometabolism typical of Alzheimer's Disease (AD) on FDG-PET brain scans. We compared the accuracy two clinically validated tools for their ability identify those MCI subjects progressing AD at followup, evaluate impact method diagnostic performance.SPMGrid and BRASS (Hermes Medical Solutions, Stockholm, Sweden) were tested 131 elderly healthy controls from EADC PET dataset. The concordance between was by correlating...
Objective: Due to the limitations of available methods for muscle strength evaluation, there is a need develop more effective ways quantify function and performance in individuals suffering from musculoskeletal diseases. This study investigated relationship between handgrip novel parameter derived ultrasound scans forearm obtained using Radiofrequency Echographic Multi Spectrometry (REMS) technology. Estimations were performed two groups: healthy subjects affected by sarcopenia. Methods: A...
The joint analysis of biomedical data in Alzheimer's Disease (AD) is important for better clinical diagnosis and to understand the relationship between biomarkers. However, jointly accounting heterogeneous measures poses challenges related modeling variability interpretability results. These issues are here addressed by proposing a novel multi-channel stochastic generative model. We assume that latent variable generates observed through different channels (e.g., scores, imaging, ...)...
Apathy (often manifested as a lack of interest) and anhedonia are very common behavioral psychological symptoms across brain disorders. Despite mainly in presence pathological conditions, such neurodegenerative disorders, apathy can also be present to varying degrees healthy people (Ang et al., 2017). While the prevalence, demographics, clinical features interest several populations start better understood, comprehensive description general population is still lacking. In this presentation...
Abstract Background The joint analysis of heterogeneous data in Alzheimer’s Disease (AD) is important for better clinical diagnosis and to understand the relationship between biomarkers. Anamnestic questionnaires, imaging data, psychological tests, example, provide specific, complementary, sometimes overlapping views on patient’s latent state. A method providing an interpretable representation this information could be used improving assessment understanding complex dynamics pathology....