A5014552492- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Fetal and Pediatric Neurological Disorders
- Vestibular and auditory disorders
- Dementia and Cognitive Impairment Research
- MRI in cancer diagnosis
- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Health, Environment, Cognitive Aging
- Epilepsy research and treatment
- Motor Control and Adaptation
- EEG and Brain-Computer Interfaces
- Neurological Disease Mechanisms and Treatments
- Medical Imaging Techniques and Applications
- Alzheimer's disease research and treatments
- Amyotrophic Lateral Sclerosis Research
- Olfactory and Sensory Function Studies
- Neurological disorders and treatments
- Visual perception and processing mechanisms
- Long-Term Effects of COVID-19
- Parkinson's Disease Mechanisms and Treatments
- Multiple Sclerosis Research Studies
- Biotin and Related Studies
University of Pavia
2016-2025
Fondazione Istituto Neurologico Nazionale Casimiro Mondino
2011-2024
Istituti di Ricovero e Cura a Carattere Scientifico
2018-2023
The University of Sydney
2023
Cardiff University
2021
Cerebellar involvement in cognition, as well sensorimotor control, is increasingly recognized and thought to depend on connections with the cerebral cortex. Anatomical investigations animals post-mortem humans have established that cerebro-cerebellar are contralateral each other include cerebello-thalamo-cortical (CTC) cortico-ponto-cerebellar (CPC) pathways. CTC CPC characterization vivo still challenging. Here advanced tractography was combined quantitative indices compare pathways healthy...
In addition to motor functions, it has become clear that in humans the cerebellum plays a significant role cognition too, through connections with associative areas cerebral cortex. Classical anatomy indicates neo-cerebellar regions are connected contralateral cortex dentate nucleus, superior cerebellar peduncle, red nucleus and ventrolateral anterior of thalamus. The anatomical existence these been demonstrated using virus retrograde transport techniques monkeys rats ex vivo. this study,...
Among dementia-like diseases, Alzheimer disease (AD) and vascular dementia (VD) are two of the most frequent. AD VD may share multiple neurological symptoms that lead to controversial diagnoses when using conventional clinical MRI criteria. Therefore, other approaches needed overcome this issue. Machine learning (ML) combined with magnetic resonance imaging (MRI) has been shown improve diagnostic accuracy several neurodegenerative including dementia. To end, in study, we investigated, first,...
Schizophrenia (SZ) is a complex neuropsychiatric disorder associated with severe cognitive dysfunction. Although research has mainly focused on forebrain abnormalities, emerging results support the involvement of cerebellum in SZ physiopathology, particularly Cognitive Impairment Associated (CIAS). Besides its role motor learning and control, implicated cognition emotion. Recent suggests that structural functional changes are linked to deficits various domains including attention, working...
In resting state fMRI (rs-fMRI), only functional connectivity (FC) reductions in the default mode network (DMN) are normally reported as a biomarker for Alzheimer's disease (AD). this investigation we have developed comprehensive strategy to characterize FC changes occurring multiple networks and applied it pilot study of subjects with AD Mild Cognitive Impairment (MCI), compared healthy controls (HC). Resting (RSNs) were studied 14 (70 ± 6 years), 12 MCI (74 16 HC (69 5 years). RSN...
Alzheimer disease (AD) and vascular dementia (VaD) together represent the majority of cases. Since their neuropsychological profiles often overlap white matter lesions are observed in elderly subjects including AD, differentiating between VaD AD can be difficult. Characterization these different forms would benefit by identification quantitative imaging biomarkers specifically sensitive to or VaD. Parameters microstructural abnormalities derived from diffusion tensor (DTI) have been reported...
Several authors have used advanced magnetic resonance imaging (MRI) techniques to investigate whether patients with neuromyelitis optica (NMO) occult damage in normal-appearing brain tissue, similarly multiple sclerosis (MS). To date, the literature contains no data derived from combined use of several MRI same NMO subjects.We set out determine could be detected tissue a small group using multiparametric approach.Eight female affected by (age range 44-58 years) and seven sex- age-matched...
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by severe derangement of cognitive functions, primarily memory, in elderly subjects. As far as the functional impairment concerned, growing evidence supports "disconnection syndrome" hypothesis. Recent investigations using fMRI have revealed generalized alteration resting state networks (RSNs) patients affected AD and mild (MCI). However, it was unclear whether changes connectivity were accompanied corresponding...
Abstract Deep gray matter nuclei are the synaptic relays, responsible to route signals between specific brain areas. Dentate (DNs) represent main output channel of cerebellum and yet often unexplored especially in humans. We developed a multimodal MRI approach identify DNs topography on basis their connectivity as well microstructural features. Based results, we defined DN parcellations deputed motor higher‐order functions humans vivo. Whole‐brain probabilistic tractography was performed 25...
Neuroimaging studies often lack reproducibility, one of the cardinal features scientific method. Multisite collaboration initiatives increase sample size and limit methodological flexibility, therefore providing foundation for increased statistical power generalizable results. However, multisite collaborative are inherently limited by hardware, software, pulse sequence design heterogeneities both clinical preclinical MRI scanners benchmark acquisition protocols, data analysis, sharing. We...
Brain dynamics can be simulated using virtual brain models, in which a standard mathematical representation of oscillatory activity is usually adopted for all cortical and subcortical regions. However, some regions have specific microcircuit properties that are not recapitulated by oscillators. Moreover, magnetic resonance imaging (MRI)-based connectomes may able to capture local circuit connectivity. Region-specific models incorporating computational neurons microcircuits recently been...
Biomarker-based differential diagnosis of the most common forms dementia is becoming increasingly important. Machine learning (ML) may be able to address this challenge. The aim study was develop and interpret a ML algorithm capable differentiating Alzheimer's dementia, frontotemporal with Lewy bodies cognitively normal control subjects based on sociodemographic, clinical, magnetic resonance imaging (MRI) variables. 506 from 5 databases were included. MRI images processed FreeSurfer, LPA,...
Mean-field (MF) models are computational formalism used to summarize in a few statistical parameters the salient biophysical properties of an inter-wired neuronal network. Their normally incorporates different types neurons and synapses along with their topological organization. MFs crucial efficiently implement modules large-scale brain function, maintaining specificity local cortical microcircuits. While have been generated for isocortex, they still missing other parts brain. Here we...
Action observation (AO) is crucial for motor planning, imitation learning, and social interaction, but it not clear whether how an action execution-observation network (AEON) processes the effort of others engaged in performing actions. In this functional magnetic resonance imaging (fMRI) study, we used a "squeeze ball" task involving different grip forces to investigate AEON activation showed similar patterns when executing or observing it. Both execution, AE (subjects performed visuomotor...
While task-dependent responses of specific brain areas during cognitive tasks are well established, much less is known about the changes occurring in resting state networks (RSN) relation to continuous processing. In particular, functional involvement cerebro-cerebellar loops connecting posterior cerebellum associative cortices, remains unclear. this study, 22 healthy volunteers underwent a multi-session magnetic resonance imaging (fMRI) protocol composed four consecutive 8-min fMRI...
Objective: Brain atrophy is an established biomarker for dementia, yet spinal cord involvement has not been investigated to date. As the relaying sensorimotor control signals from cortex peripheral nervous system and viceversa, it interesting question assess whether affected by in a disease that known its of cognitive domains first foremost, with motor symptoms being clinically assessed too. We hypothesize Alzheimer’s Disease severe can affect important in-vivo imaging contributing...
Brain pathologies are characterized by microscopic changes in neurons and synapses that reverberate into large scale networks altering brain dynamics functional states. An important yet unresolved issue concerns the impact of patients’ excitation/inhibition profiles on neurodegenerative diseases including Alzheimer’s Disease, Frontotemporal Dementia, Amyotrophic Lateral Sclerosis. In this work, we used The Virtual (TVB) simulation platform to simulate healthy conditions extract information...
Hippocampal damage, by DTI or MR volumetry, and PET hypoperfusion of precuneus/posterior cingulate cortex (PC/PCC) were proposed as biomarkers conversion from preclinical (MCI) to clinical stage Alzheimer's disease (AD). This study evaluated structural hippocampi tracts connecting hippocampus PC/PCC (hipp-PC/PCC) in 10 AD, MCI, 18 healthy controls (CTRL). Normalized volumes, mean diffusivity (MD), fractional anisotropy (FA) obtained for grey matter (GM), white (WM), hippocampi, PC/PCC,...
Introduction Neural circuit alterations lay at the core of brain physiopathology, and yet are hard to unveil in living subjects. The Virtual Brain (TVB) modeling, by exploiting structural functional magnetic resonance imaging (MRI), yields mesoscopic parameters connectivity synaptic transmission. Methods We used TVB simulate networks, which key for human function, Alzheimer’s disease (AD) frontotemporal dementia (FTD) patients, whose remain largely unknown; we then compared them healthy...
Quantitative Susceptibility Mapping (QSM) is an MRI-based technique allowing the non-invasive quantification of iron content and myelination in brain. The RIN - Neuroimaging Network established optimized harmonized protocol for QSM across ten sites with 3T MRI systems from three different vendors to enable multicentric studies. assessment reproducibility this crucial establish susceptibility as a quantitative biomarker. In work, we evaluated cross-vendor group six traveling brains. Then,...
Abstract The development of biologically realistic models brain microcircuits and regions is currently a very relevant topic in computational neuroscience. From basic research to clinical applications, there an increasing demand for accurate that incorporate local cellular network specificities, able capture broad range dynamics functions associated with given regions. One the main challenges these passage between different scales, going from microscale (cellular) meso (microcircuit)...
Background Magnetization transfer-prepared T1-weighted MRI can depict a hyperintense subregion of the substantia nigra involved in degeneration process Parkinson disease. Purpose To evaluate quantitative measurement volume by using to support clinical diagnosis and staging Materials Methods In this prospective study, high-spatial-resolution magnetization volumetric sequence was performed with 3-T machine between January 2014 October 2015 for participants de novo disease, advanced healthy...