134 results on '"Astolfi L"'
Search Results
2. Defecting or not defecting: how to 'read' human behavior during cooperative games by EEG measurements
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Fallani, F. De Vico, Nicosia, V., Sinatra, R., Astolfi, L., Cincotti, F., Mattia, D., Wilke, C., Doud, A., Latora, V., He, B., and Babiloni, F.
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Physics - Physics and Society ,Computer Science - Social and Information Networks ,Quantitative Biology - Neurons and Cognition - Abstract
Understanding the neural mechanisms responsible for human social interactions is difficult, since the brain activities of two or more individuals have to be examined simultaneously and correlated with the observed social patterns. We introduce the concept of hyper-brain network, a connectivity pattern representing at once the information flow among the cortical regions of a single brain as well as the relations among the areas of two distinct brains. Graph analysis of hyper-brain networks constructed from the EEG scanning of 26 couples of individuals playing the Iterated Prisoner's Dilemma reveals the possibility to predict non-cooperative interactions during the decision-making phase. The hyper-brain networks of two-defector couples have significantly less inter-brain links and overall higher modularity - i.e. the tendency to form two separate subgraphs - than couples playing cooperative or tit-for-tat strategies. The decision to defect can be "read" in advance by evaluating the changes of connectivity pattern in the hyper-brain network.
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- 2011
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3. Time-variant partial directed coherence for analysing connectivity: a methodological study
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Leistritz, L., Pester, B., Doering, A., Schiecke, K., Babiloni, F., Astolfi, L., and Witte, H.
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- 2013
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4. Mitochondrial variability of sand smelt Atherina boyeri populations from north Mediterranean coastal lagoons
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Astolfi, L., Dupanloup, I., Rossi, R., Bisol, P. M., Faure, E., and Congiu, L.
- Published
- 2005
5. In vitro biocompatibility study of Polyvinyl difluoride piezoelectric nanofibers for cochlear implants.
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Fracaro, S., Danti, S., Hellies, F., Mokhtari, F., Zanoletti, E., Albertin, G., and Astolfi, L.
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NANOSTRUCTURES ,COCHLEAR implants ,CONFERENCES & conventions - Abstract
The cochlear implant (CI) is currently the gold standard in treating sensorineural hearing loss (SNHL) as it activates the cochlear nerve bypassing the hair cells, allowing the brain to hear sound waves. The goal of ongoing research is to create self-powered cochlear stimulation devices based on piezoelectric nanomaterials that can improve the quality of life for patients with SNHL and reduce the side effects of traditional CIs. Polyvinyldifluoride (PVDF) piezoelectric nanofibers are a new type of piezoelectric nanostructure developed for biological purposes. The fiber can be coated with barium titan-ate (BaTiO3) nanoparticles or graphene nanosheets (GN) to enhance the piezoelectric coefficients. The purpose of the study is to evaluate the in vitro biocompatibility of PVDF na-nofibers, which appear promising as alternatives for producing next-generation CIs. Pure PVDF, BaTiO3-coated PVDF, and GN-coated PVDF were evaluated on three cell lines: HaCaT, OC-k3, and PC12. Viability, morphological changes, and neuritic outgrowth were evaluated in vitro using these cell lines as a model for the cochlear tissues. The morphology study indicated that HaCaT, OC-k3, and PC12 cells were healthy, well-preserved, and had normal structural characteristics at all times tested. According to cell viability results, the fibers caused an increase in cell metabolism after 72 hours of incubation, especially on OC-k3 and PC12. On the HaCaT cell line, the fibers exhibited a slight but not significant reduction of cell metabolic activity starting from 48 hours of exposure. In addition, BaTiO3-coated PVDF have the most favorable results when it comes to the number of branch points and average length of neurites in PC12 cells, leading to a conclusion that BaTiO3 nanoparti-cles enhance the complex processes of PC12 cells. To summarize, the investigation revealed that the tested na-nofibers exhibited high biocompatibility in vitro, particularly with cochlear and neuronal cells, and the piezoelectric nanofibers with barium titanate particles be used to develop the next generation of self-powered cochlear implants. To conclude, these piezoelectric nanofibers have the ability to stimulate the cochlea, even though additional research is needed to achieve adequate mechanical and electrical performance. [ABSTRACT FROM AUTHOR]
- Published
- 2024
6. Tracking the time-varying cortical connectivity patterns by adaptive multivariate estimators
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Astolfi, L., Cincotti, F., Mattia, D., Fallani, F. De Vico, Tocci, A., Colosimo, A., Salinari, S., Marciani, M.G., Hesse, W., Witte, H., Ursino, M., Zavaglia, M., and Babiloni, F.
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Transfer functions -- Analysis ,Biological sciences ,Business ,Computers ,Health care industry - Abstract
The directed transfer function (DTF) and the partial directed coherence (PDC) are frequency-domain estimators that are able to describe interactions between cortical areas in terms of the concept of Granger causality. However, the classical estimation of these methods is based on the multivariate autoregressive modelling (MVAR) of time series, which requires the stationarity of the signals. In this way, transient pathways of information transfer remains hidden. The objective of this study is to test a time-varying multivariate method for the estimation of rapidly changing connectivity relationships between cortical areas of the human brain, based on DTF/PDC and on the use of adaptive MVAR modelling (AMVAR) and to apply it to a set of real high resolution EEG data. This approach will allow the observation of rapidly changing influences between the cortical areas during the execution of a task. The simulation results indicated that time-varying DTF and PDC are able to estimate correctly the imposed connectivity patterns under reasonable operative conditions of signal-to-noise ratio (SNR) ad number of trials. An SNR of five and a number of trials of at least 20 provide a good accuracy in the estimation. After testing the method by the simulation study, we provide an application to the cortical estimations obtained from high resolution EEG data recorded from a group of healthy subject during a combined foot-lips movement and present the time-varying connectivity patterns resulting from the application of both DTF and PDC. Two different cortical networks were detected with the proposed methods, one constant across the task and the other evolving during the preparation of the joint movement. Index Terms--Cortical connectivity, directed transfer function (DTF), high resolution electroencephalography (EEG), limb movement, partial directed coherence (PDC), recursive least squares (RLS).
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- 2008
7. Immune response after cochlear implantation
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Simoni, E., Gentilin, E., Candito, M., Borile, G., Romanato, F., Chicca, M., Nordio, Sara, Aspidistria, M., Martini, A., Cazzador, D., Astolfi, L., Nordio S. (ORCID:0000-0003-3883-0344), Simoni, E., Gentilin, E., Candito, M., Borile, G., Romanato, F., Chicca, M., Nordio, Sara, Aspidistria, M., Martini, A., Cazzador, D., Astolfi, L., and Nordio S. (ORCID:0000-0003-3883-0344)
- Abstract
A cochlear implant (CI) is an electronic device that enables hearing recovery in patients with severe to profound hearing loss. Although CIs are a successful treatment for profound hearing impairment, their effectivity may be improved by reducing damages associated with insertion of electrodes in the cochlea, thus preserving residual hearing ability. Inner ear trauma leads to inflammatory reactions altering cochlear homeostasis and reducing post-operative audiological performances and electroacoustic stimulation. Strategies to preserve residual hearing ability led to the development of medicated devices to minimize CI-induced cochlear injury. Dexamethasone-eluting electrodes recently showed positive outcomes. In previous studies by our research group, intratympanic release of dexamethasone for 14 days was able to preserve residual hearing from CI insertion trauma in a Guinea pig model. Long-term effects of dexamethasone-eluting electrodes were therefore evaluated in the same animal model. Seven Guinea pigs were bilaterally implanted with medicated rods and four were implanted with non-eluting ones. Hearing threshold audiograms were acquired prior to implantation and up to 60 days by recording compound action potentials. For each sample, we examined the amount of bone and fibrous connective tissue grown within the scala tympani in the basal turn of the cochlea, the cochleostomy healing, the neuronal density, and the correlation between electrophysiological parameters and histological results. Detection of tumor necrosis factor alpha, interleukin-6, and foreign body giant cells showed that long-term electrode implantation was not associated with an ongoing inflammation. Growth of bone and fibrous connective tissue around rods induced by CI was reduced in the scala tympani by dexamethasone release. For cochleostomy sealing, dexamethasone-treated animals showed less bone tissue growth than negative. Dexamethasone did not affect cell density in the spiral ganglion. Overa
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- 2020
8. Evaluation of different teaching methods for FAST examination: high fidelity simulation versus traditional training
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Astolfi, L, Spadaro, S, Zani, G, Gioia, A, Ferraresi, A, Colamussi, MV, Ragazzi, R, and Volta, CA
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- 2014
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9. Motifs analysis-based indices to discover brain network architecture
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Petti, M., Pichiorri, F., Cincotti, F., Mattia, D., and Astolfi, L.
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network motifs ,functional brain connectivity ,EEG ,stroke - Published
- 2018
10. Analysis of multilayer clustering algorithms for the application to brain functional connectivity
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Puxeddu, M. G., Petti, M., Pichiorri, F., Cincotti, F., Mattia, D., and Astolfi, L.
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Community detection ,functional brain networks ,multilayer analysis ,EEG - Published
- 2018
11. EEG Hyperscanning to Investigate Compassion and Altruistic Behavior
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Toppi, J., Angela Ciaramidaro, Freitag, C. M., Siniatchkin, M., and Astolfi, L.
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- 2018
12. How does multicollinearity affect brain connectivity estimation? A simulation study based on penalized regression technique
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Antonacci, Y., Toppi, J., Pietrabissa, A., Cincotti, F., Mattia, D., and Astolfi, L.
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asymptotic statistics ,penalized regression ,brain connectivity ,partial directed coherence - Published
- 2018
13. Windowed Wavelet Filter: a New Approach to Identify Event-Related Potentials in Disorders of Consciousness
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Toppi, J., Mattia, D., Formisano, R., Cincotti, F., and Astolfi, L.
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- 2018
14. Speech perception in noise by young sequential bilingual children
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Bovo, R., additional, Lovo, E., additional, Astolfi, L., additional, Montino, S., additional, Franchella, S., additional, Gallo, S., additional, Prodi, N., additional, Borsetto, D., additional, and Trevisi, P., additional
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- 2018
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15. Bci-Assisted Training For Upper Limb Motor Rehabilitation: Estimation Of Effects On Individual Brain Connectivity And Motor Functions
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Petti, M., Pichiorri, F., Toppi, J., Astolfi, L., Cincotti, F., and Mattia, D.
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brain connectivity ,EEG ,BCI ,stroke - Abstract
Proceedings Of The 7Th Graz Brain-Computer Interface Conference 2017, From Vision To Reality, September 18-22, 2017 Graz University Of Technology, Austria
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- 2017
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16. Multiple-Brain Connectivity During Third Party Punishment: an EEG Hyperscanning Study
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Ciaramidaro, A., primary, Toppi, J., additional, Casper, C., additional, Freitag, C. M., additional, Siniatchkin, M., additional, and Astolfi, L., additional
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- 2018
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17. Cochlear implantation in post-lingually deafened adults and elderly patients: analysis of audiometric and speech perception outcomes during the first year of use
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Ghiselli, S., primary, Nedic, S., additional, Montino, S., additional, Astolfi, L., additional, and Bovo, R., additional
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- 2016
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18. EEG-based indices as outcome measures for a memory rehabilitation treatment in stroke patients
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Anzolin, Alessandra, Toppi, Jlenia, Risetti, M., Cincotti, F., Mattia, L. Astolfi, D. Mattia, and Astolfi, L.
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Graph theory ,memory ,Effective connectivity, Graph theory, Cognitive rehabilitation, memory, stroke ,Cognitive rehabilitation ,Effective connectivity ,stroke - Published
- 2015
19. How the Statistical Validation of Functional Connectivity Patterns Can Prevent Erroneous Definition of Small-World Properties of a Brain Connectivity Network
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Toppi, J., de Vico Fallani, F, Vecchiato, G, Maglione, A G, Cincotti, F, Mattia, D, Salinari, S, Babiloni, F, Astolfi, L, Toppi, S, Fondazione Santa Lucia [IRCCS], Clinical and Behavioral Neurology [IRCCS Santa Lucia], Dept. Human Physiology, and Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome]
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magnetoencephalography ,MESH: Magnetoencephalography ,Spatial correlation ,Theoretical computer science ,Computer science ,hemodynamics ,MESH: Signal Processing, Computer-Assisted ,MESH: Magnetic Resonance Imaging ,0302 clinical medicine ,computational biology ,magnetic resonance imaging ,Adjacency matrix ,humans ,MESH: Brain Mapping ,0303 health sciences ,Signal processing ,neurological ,medicine.diagnostic_test ,Applied Mathematics ,Signal Processing, Computer-Assisted ,General Medicine ,neural pathways ,Modeling and Simulation ,computer-assisted ,Graph (abstract data type) ,lcsh:R858-859.7 ,brain mapping ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,electroencephalography ,Research Article ,MESH: Computational Biology ,MESH: Hemodynamics ,Article Subject ,MESH: Probability ,probability ,brain ,Models, Neurological ,MESH: Algorithms ,electrodes ,signal processing ,computer simulation ,statistical ,models ,software ,algorithms ,lcsh:Computer applications to medicine. Medical informatics ,General Biochemistry, Genetics and Molecular Biology ,Imaging phantom ,03 medical and health sciences ,MESH: Brain ,MESH: Software ,MESH: Computer Simulation ,MESH: Models, Neurological ,MESH: Electroencephalography ,medicine ,Spurious relationship ,030304 developmental biology ,Models, Statistical ,MESH: Humans ,General Immunology and Microbiology ,business.industry ,MESH: Neural Pathways ,Pattern recognition ,Graph theory ,Magnetoencephalography ,MESH: Electrodes ,Artificial intelligence ,business ,030217 neurology & neurosurgery ,MESH: Models, Statistical - Abstract
International audience; The application of Graph Theory to the brain connectivity patterns obtained from the analysis of neuroelectrical signals has provided an important step to the interpretation and statistical analysis of such functional networks. The properties of a network are derived from the adjacency matrix describing a connectivity pattern obtained by one of the available functional connectivity methods. However, no common procedure is currently applied for extracting the adjacency matrix from a connectivity pattern. To understand how the topographical properties of a network inferred by means of graph indices can be affected by this procedure, we compared one of the methods extensively used in Neuroscience applications (i.e. fixing the edge density) with an approach based on the statistical validation of achieved connectivity patterns. The comparison was performed on the basis of simulated data and of signals acquired on a polystyrene head used as a phantom. The results showed (i) the importance of the assessing process in discarding the occurrence of spurious links and in the definition of the real topographical properties of the network, and (ii) a dependence of the small world properties obtained for the phantom networks from the spatial correlation of the neighboring electrodes.
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- 2012
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20. Editorial: Neuro math: Advanced methods for the estimation of human brain activity and connectivity
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Astolfi, L., Cichocki, A., and Babiloni, F.
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Behavior ,Cognition ,Brain ,Electroencephalography ,Humans ,Magnetic Resonance Imaging ,Nerve Net ,Models, Neurological ,Models ,Neurological - Published
- 2009
21. Estimate of Causality Between Cortical Spatial Patterns During Voluntary Movements in Normal Subjects
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Bakardjian, H, Cichocki, A, Cincotti, Febo, Mattia, D, Babiloni, Fabio, Marciani, M. G., DE VICO FALLANI, Fabrizio, Miwakeichi, F, Yamaguchi, Y, Salinari, S, and Tocci, A. AND ASTOLFI L.
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- 2006
22. La flora di Rio Fuggio (Vallonina - Leonessa, Rieti)
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ANZALONE B, ASTOLFI L, BANCHIERI C, BENCIVENGA M, BERNARDO L, BERTOLOTTO S, CAMPO I, CUTINI, Maurizio, Anzalone, B, Astolfi, L, Banchieri, C, Bencivenga, M, Bernardo, L, Bertolotto, S, Campo, I, Cutini, Maurizio, and Ii
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- 1994
23. Karyotype-phenotype correlation in partial trisomies of the short arm of chromosome 6 : a family case report and review of the literature
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Castiglione, Alessandro, Guaran, V., Astolfi, L., Orioli, E., Zeri, G., Gemmati, D., Bovo, R., Montaldi, A., Alghisi, A., Martini, A., Castiglione, Alessandro, Guaran, V., Astolfi, L., Orioli, E., Zeri, G., Gemmati, D., Bovo, R., Montaldi, A., Alghisi, A., and Martini, A.
- Abstract
The first child (proband) of nonconsanguineous Caucasian parents underwent genetic investigation because she was affected with congenital choanal atresia, heart defects and kidney hyposplasia with mild transient renal insufficiency. The direct DNA sequencing after PCR of the CHD7 gene, which is thought to be responsible for approximately 60-70% of the cases of CHARGE syndrome/association, found no mutations. The cytogenetic analysis (standard GTG banding karyotype) revealed the presence of extrachromosomal material on 10q. The chromosome analysis was completed with array CGH (30 kb resolution), MLPA and FISH, which allowed the identification of three 6p regions (6p.25.3p23 × 3): 2 of these regions are normally located on chromosome 6, and the third region is translocated to the long arm of chromosome 10. The same chromosomal rearrangement was subsequently found in the father, who was affected with congenital ptosis and progressive hearing loss, and in the proband's sister, the second child, who presented at birth with choanal atresia and congenital heart defects. The mutated karyotypes, which were directly inherited, are thought to be responsible for a variable phenotype, including craniofacial dysmorphisms, choanal atresia, congenital ptosis, sensorineural hearing loss, heart defects, developmental delay, and renal dysfunction. Nevertheless, to achieve a complete audiological assessment of the father, he underwent further investigation that revealed an increased level of the coagulation factor XIII (300% increased activity), fluctuating levels of fibrin D-dimer degradation products (from 296 to 1,587 ng/ml) and a homoplasmic mitochondrial DNA mutation: T961G in the MTRNR1 (12S rRNA) gene. He was made a candidate for cochlear implantation. Preoperative high-resolution computed tomography and magnetic resonance imaging of the temporal bone revealed the presence of an Arnold-Chiari malformation type I. To the best of our knowledge, this study is the second report on p
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- 2013
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24. The added value of the electrical neuroimaging for the evaluation of marketing stimuli
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Vecchiato, G., primary, Toppi, J., additional, Astolfi, L., additional, Cincotti, F., additional, De Vico Fallani, F., additional, Maglione, A.G., additional, Borghini, G., additional, Cherubino, P., additional, Mattia, D., additional, and Babiloni, F., additional
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- 2012
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25. The multimod data manager: An essential tool for muscolo-skeletal modelling
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Viceconti, Marco, Taddei, F., Testi, D., Leardini, Alberto, Astolfi, L., Zannoni, C, Van Sint Jan, Serge, Clapworthy, Gordon, Viceconti, Marco, Taddei, F., Testi, D., Leardini, Alberto, Astolfi, L., Zannoni, C, Van Sint Jan, Serge, and Clapworthy, Gordon
- Abstract
info:eu-repo/semantics/published
- Published
- 2004
26. Brain Network Analysis From High-Resolution EEG Recordings by the Application of Theoretical Graph Indexes
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De Vico Fallani, F., primary, Astolfi, L., additional, Cincotti, F., additional, Mattia, D., additional, Tocci, A., additional, Salinari, S., additional, Marciani, M. G., additional, Witte, H., additional, Colosimo, A., additional, and Babiloni, F., additional
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- 2008
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27. The Effect of Connectivity on EEG Rhythms, Power Spectral Density and Coherence Among Coupled Neural Populations: Analysis With a Neural Mass Model
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Zavaglia, M., primary, Astolfi, L., additional, Babiloni, F., additional, and Ursino, M., additional
- Published
- 2008
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28. The Estimation of Cortical Activity for Brain-Computer Interface: Applications in a Domotic Context
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Babiloni, F., primary, Cincotti, F., additional, Marciani, M., additional, Salinari, S., additional, Astolfi, L., additional, Tocci, A., additional, Aloise, F., additional, Fallani, F. De Vico, additional, Bufalari, S., additional, and Mattia, D., additional
- Published
- 2007
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29. Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data
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Astolfi, L., primary, Cincotti, F., additional, Mattia, D., additional, Marciani, M.G., additional, Baccala, L.A., additional, Fallani, F.D.V., additional, Salinari, S., additional, Ursino, M., additional, Zavaglia, M., additional, and Babiloni, F., additional
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- 2006
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30. Estimation of the Cortical Connectivity by High-Resolution EEG and Structural Equation Modeling: Simulations and Application to Finger Tapping Data
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Astolfi, L., primary, Cincotti, F., additional, Babiloni, C., additional, Carducci, F., additional, Basilisco, A., additional, Rossini, P.M., additional, Salinari, S., additional, Mattia, D., additional, Cerutti, S., additional, BenDayan, D., additional, Ding, L., additional, Ni, Y., additional, He, B., additional, and Babiloni, F., additional
- Published
- 2005
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31. Brain Network Analysis From High-Resolution EEG Recordings by the Application of Theoretical Graph Indexes.
- Author
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Fallani, F. De Vico, Astolfi, L., Cincotti, F., Mattia, D., Tocci, A., Salinari, S., Marciani, M. G., Witte, H., Colosimo, A., and Babiloni, F.
- Subjects
BRAIN imaging ,CEREBRAL cortex ,ELECTROENCEPHALOGRAPHY ,COMPUTERS in graph theory ,DIGITAL diagnostic imaging ,COMBINATORICS ,BRAIN research ,GRAPH connectivity ,HIGHER nervous activity - Abstract
Abstract-The extraction of the salient characteristics from brain connectivity patterns is an open challenging topic since often the estimated cerebral networks have a relative large size and complex structure. Since a graph is a mathematical representation of a network, which is essentially reduced to nodes and connections between them, the use of a theoretical graph approach would extract significant information from the functional brain networks estimated through different neuroimaging techniques. The present work intends to support the development of the "brain network analysis:" a mathematical tool consisting in a body of indexes based on the graph theory able to improve the comprehension of the complex interactions within the brain. In the present work, we applied for demonstrative purpose some graph indexes to the time-varying networks estimated from a set of high-resolution EEG data in a group of healthy subjects during the performance of a motor task. The comparison with a random benchmark allowed extracting the significant properties of the estimated networks in the representative Alpha (7-12 Hz) band. Altogether, our findings aim at proving how the brain network analysis could reveal important information about the time-frequency dynamics of the functional cortical networks. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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32. Testing different methodologies for Granger causality estimation: A simulation study
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Yuri Antonacci, Laura Astolfi, Luca Faes, Antonacci Y., Astolfi L., and Faes L.
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Multivariate statistics ,state space models ,Series (mathematics) ,Computer science ,Granger causality ,Dynamical Networks ,Multivariate Time Series ,Reduction (complexity) ,Autoregressive model ,Settore ING-INF/06 - Bioingegneria Elettronica E Informatica ,State space ,Conditioning ,Time series ,Vector Autoregressive Processes ,Algorithm - Abstract
Granger causality (GC) is a method for determining whether and how two time series exert causal influences one over the other. As it is easy to implement through vector autoregressive (VAR) models and can be generalized to the multivariate case, GC has spread in many different areas of research such as neuroscience and network physiology. In its basic formulation, the computation of GC involves two different regressions, taking respectively into account the whole past history of the investigated multivariate time series (full model) and the past of all time series except the putatively causal time series (restricted model). However, the restricted model cannot be represented through a finite order VAR process and, when few data samples are available or the number of time series is very high, the estimation of GC exhibits a strong reduction in accuracy. To mitigate these problems, improved estimation strategies have been recently implemented, including state space (SS) models and partial conditioning (PC) approaches. In this work, we propose a new method to compute GC which combines SS and PC and tests it together with other four commonly used estimation approaches. In simulated networks of linearly interacting time series, we show the possibility to reconstruct the network structure even in challenging conditions of data samples available.
- Published
- 2021
33. A novel method to assess motor cortex connectivity and event related desynchronization based on mass models
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Mauro Ursino, Laura Astolfi, Giulia Ricci, Elisa Magosso, Floriana Pichiorri, Manuela Petti, Ursino M., Ricci G., Astolfi L., Pichiorri F., Petti M., and Magosso E.
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Motor cortex after stroke ,Computer science ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Electroencephalography ,Cognitive neuroscience ,excitatory/inhibitory synaptic connections ,Brain rhythms ,EEG ,Excitatory/inhibitory synaptic connections ,Model–based connectivity ,Network model ,Non–linear coupling ,Article ,Rhythm ,medicine ,Set (psychology) ,medicine.diagnostic_test ,Quantitative Biology::Neurons and Cognition ,business.industry ,General Neuroscience ,Work (physics) ,Pattern recognition ,Nonlinear system ,medicine.anatomical_structure ,Brain rhythm ,Excitatory/inhibitory synaptic connection ,Artificial intelligence ,business ,brain rhythms ,Motor cortex ,RC321-571 - Abstract
Knowledge of motor cortex connectivity is of great value in cognitive neuroscience, in order to provide a better understanding of motor organization and its alterations in pathological conditions. Traditional methods provide connectivity estimations which may vary depending on the task. This work aims to propose a new method for motor connectivity assessment based on the hypothesis of a task-independent connectivity network, assuming nonlinear behavior. The model considers six cortical regions of interest (ROIs) involved in hand movement. The dynamics of each region is simulated using a neural mass model, which reproduces the oscillatory activity through the interaction among four neural populations. Parameters of the model have been assigned to simulate both power spectral densities and coherences of a patient with left-hemisphere stroke during resting condition, movement of the affected, and movement of the unaffected hand. The presented model can simulate the three conditions using a single set of connectivity parameters, assuming that only inputs to the ROIs change from one condition to the other. The proposed procedure represents an innovative method to assess a brain circuit, which does not rely on a task-dependent connectivity network and allows brain rhythms and desynchronization to be assessed on a quantitative basis.
- Published
- 2021
34. Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator
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Antonio Pietrabissa, Jlenia Toppi, Yuri Antonacci, Donatella Mattia, Laura Astolfi, Antonacci Y., Toppi J., Mattia D., Pietrabissa A., and Astolfi L.
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Multivariate statistics ,Computer science ,0206 medical engineering ,02 engineering and technology ,Connectivity measurements ,Least squares ,03 medical and health sciences ,0302 clinical medicine ,Lasso (statistics) ,Statistics::Methodology ,Least-Squares Analysis ,Statistic ,Shrinkage ,business.industry ,Brain ,Pattern recognition ,Electroencephalography ,020601 biomedical engineering ,Causality ,Data point ,Autoregressive model ,Physiological systems modeling - Multivariate signal processing ,Ordinary least squares ,Least-Squares Analysis, Brain, Electroencephalography ,Artificial intelligence ,business ,030217 neurology & neurosurgery - Abstract
Methods based on the use of multivariate autoregressive models (MVAR) have proved to be an accurate tool for the estimation of functional links between the activity originated in different brain regions. A well-established method for the parameters estimation is the Ordinary Least Square (OLS) approach, followed by an assessment procedure that can be performed by means of Asymptotic Statistic (AS). However, the performances of both procedures are strongly influenced by the number of data samples available, thus limiting the conditions in which brain connectivity can be estimated. The aim of this paper is to introduce and test a regression method based on Least Absolute Shrinkage and Selection Operator (LASSO) to broaden the estimation of brain connectivity to those conditions in which current methods fail due to the limited data points available. We tested the performances of the LASSO regression in a simulation study under different levels of data points available, in comparison with a classical approach based on OLS and AS. Then, the two methods were applied to real electroencephalographic (EEG) signals, recorded during a motor imagery task. The simulation study and the application to real EEG data both indicated that LASSO regression provides better performances than the currently used methodologies for the estimation of brain connectivity when few data points are available. This work paves the way to the estimation and assessment of connectivity patterns with limited data amount and in on-line settings.
- Published
- 2020
35. Human mesenchymal stromal cell therapy for damaged cochlea repair in nod-scid mice deafened with kanamycin
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Benedetta Mazzanti, Roberto P. Revoltella, Alessandro Martini, Simone Bettini, Valeria Franceschini, Edi Simoni, Laura Astolfi, and Bettini S., Franceschini V., Astolfi L., Simoni E, Mazzanti B, Martini A:, Revoltella RP
- Subjects
Adult ,0301 basic medicine ,Cancer Research ,Stromal cell ,hybrid cells ,Immunology ,tissue regeneration ,Mice, SCID ,Deafness ,Biology ,Mesenchymal Stem Cell Transplantation ,Regenerative medicine ,Mice ,03 medical and health sciences ,proliferative capacity ,Kanamycin ,Mice, Inbred NOD ,Osteogenesis ,In vivo ,xenotransplantation ,medicine ,Animals ,Humans ,Regeneration ,Immunology and Allergy ,Cells, Cultured ,Genetics (clinical) ,Cell Proliferation ,Transplantation ,Adipogenesis ,paracrine effect ,Regeneration (biology) ,Mesenchymal stem cell ,bone marrow mesenchymal stromal cells ,Mesenchymal Stem Cells ,adipose-derived stem cells, bone marrow mesenchymal stromal cells, cochlea, hybrid cells, kanamycin, multipotency, paracrine effect, proliferative capacity, tissue regeneration, xenotransplantation ,Cell Biology ,multipotency ,Cochlea ,Cell biology ,Phenotype ,030104 developmental biology ,medicine.anatomical_structure ,Oncology ,adipose-derived stem cells ,cochlea ,kanamycin ,Bone marrow ,Ex vivo - Abstract
Background Kanamycin, mainly used in the treatment of drug-resistant-tuberculosis, is known to cause irreversible hearing loss. Using the xeno-transplant model, we compared both in vitro and in vivo characteristics of human mesenchymal stromal cells (MSCs) derived from adult tissues, bone marrow (BM-MSCs) and adipose tissue (ADSCs). These tissues were selected for their availability, in vitro multipotency and regenerative potential in vivo in kanamycin-deafened nod-scid mice. Methods MSCs were isolated from informed donors and expanded ex vivo. We evaluated their proliferation capacity in vitro using the hexosaminidase assay, the phenotypic profile using flow-cytometry of a panel of surface antigens, the osteogenic potential using alkaline phosphatase activity and the adipogenic potential using oil-red-O staining. MSCs were intravenously injected in deafened mice and cochleae, liver, spleen and kidney were sampled 7 and 30 days after transplantation. The dissected organs were analyzed using lectin histochemistry, immunohistochemistry, polymerase chain reaction (PCR) and dual color fluorescence in situ hybridization (DC-FISH). Results MSCs showed similar in vitro characteristics, but ADSCs appeared to be more efficient after prolonged expansion. Both cell types engrafted in the cochlea of damaged mice, inducing regeneration of the damaged sensory structures. Several hybrid cells were detected in engrafted tissues. Discussion BM-MSCs and ADSCs showed in vitro characteristics suitable for tissue regeneration and fused with resident cells in engrafted tissues. The data suggest that paracrine effect is the prevalent mechanism inducing tissue recovery. Overall, BM-MSCs and ADSCs appear to be valuable tools in regenerative medicine for hearing loss recovery.
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- 2018
36. Estimation of brain connectivity through Artificial Neural Networks
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Jlenia Toppi, Donatella Mattia, Antonio Pietrabissa, Yuri Antonacci, Laura Astolfi, Antonacci Y., Toppi J., Mattia D., Pietrabissa A., and Astolfi L.
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Computer science ,Feature selection ,02 engineering and technology ,Connectivity measurements ,03 medical and health sciences ,0302 clinical medicine ,0202 electrical engineering, electronic engineering, information engineering ,Artificial neural network ,business.industry ,Process (computing) ,Brain ,Pattern recognition ,Electroencephalography ,Collinearity ,Causality ,Data point ,Physiological systems modeling - Multivariate signal processing ,Norm (mathematics) ,Regression Analysis ,020201 artificial intelligence & image processing ,Analysis of variance ,Artificial intelligence ,Neural Networks, Computer ,business ,Algorithms, Brain, Electroencephalography, Regression Analysis, Neural Networks, Computer ,030217 neurology & neurosurgery ,Linear equation ,Algorithms - Abstract
Among different methods available for estimating brain connectivity from electroencephalographic signals (EEG), those based on MVAR models have proved to be flexible and accurate. They rely on the solution of linear equations that can be pursued through artificial neural networks (ANNs) used as MVAR model. However, when few data samples are available, there is a lack of accuracy in estimating MVAR parameters due to the collinearity between regressors. Moreover, the assessment procedure is also affected by the lack of data points. The mathematical solution to these problems is represented by penalized regression methods based on l 1 norm, that can reduce collinearity by means of variable selection process. However, the direct application of l 1 norm during the training of an ANN does not result in an efficient learning process. With the introduction of the stochastic gradient descent-L1 (SGD-L1) it is possible to apply l 1 norm directly on the estimated weights in an efficient way. Even if ANNs has been used as MVAR model for brain connectivity estimation, the use of SGD-L1 algorithm has never been tested to this purpose when few data samples are available. In this work, we tested an approach based on ANNs and SGD-L1 on both surrogate and real EEG data. Our results show that ANNs can provide accurate brain connectivity estimation if trained with SGD-L1 algorithm even when few data samples are available.
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- 2019
37. Synergy of the mirror neuron system and the mentalizing system in a single brain and between brains during joint actions.
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Ciaramidaro A, Toppi J, Vogel P, Freitag CM, Siniatchkin M, and Astolfi L
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- Humans, Male, Female, Adult, Young Adult, Cooperative Behavior, Mentalization physiology, Social Interaction, Mirror Neurons physiology, Electroencephalography, Theory of Mind physiology, Brain physiology
- Abstract
Cooperative action involves the simulation of actions and their co-representation by two or more people. This requires the involvement of two complex brain systems: the mirror neuron system (MNS) and the mentalizing system (MENT), both of critical importance for successful social interaction. However, their internal organization and the potential synergy of both systems during joint actions (JA) are yet to be determined. The aim of this study was to examine the role and interaction of these two fundamental systems-MENT and MNS-during continuous interaction. To this hand, we conducted a multiple-brain connectivity analysis in the source domain during a motor cooperation task using high-density EEG dual-recordings providing relevant insights into the roles of MNS and MENT at the intra- and interbrain levels. In particular, the intra-brain analysis demonstrated the essential function of both systems during JA, as well as the crucial role played by single brain regions of both neural mechanisms during cooperative activities. Specifically, our intra-brain analysis revealed that both neural mechanisms are essential during Joint Action (JA), showing a solid connection between MNS and MENT and a central role of the single brain regions of both mechanisms during cooperative actions. Additionally, our inter-brain study revealed increased inter-subject connections involving the motor system, MENT and MNS. Thus, our findings show a mutual influence between two interacting agents, based on synchronization of MNS and MENT systems. Our results actually encourage more research into the still-largely unknown realm of inter-brain dynamics and contribute to expand the body of knowledge in social neuroscience., Competing Interests: Declaration of competing interest The authors of this article have no conflicts of interest, financial or otherwise, to disclose., (Copyright © 2024. Published by Elsevier Inc.)
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- 2024
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38. Mechanical characterization of porcine ureter for the evaluation of tissue-engineering applications.
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Casarin M, Toniolo I, Todesco M, Carniel EL, Astolfi L, Morlacco A, and Moro FD
- Abstract
Introduction: Clinics increasingly require readily deployable tubular substitutes to restore the functionality of structures like ureters and blood vessels. Despite extensive exploration of various materials, both synthetic and biological, the optimal solution remains elusive. Drawing on abundant literature experiences, there is a pressing demand for a substitute that not only emulates native tissue by providing requisite signals and growth factors but also exhibits appropriate mechanical resilience and behaviour. Methods: This study aims to assess the potential of porcine ureters by characterizing their biomechanical properties in their native configuration through ring and membrane flexion tests. In order to assess the tissue morphology before and after mechanical tests and the eventual alteration of tissue microstructure that would be inserted in material constitutive description, histological staining was performed on samples. Corresponding computational analyses were performed to mimic the experimental campaign to identify the constitutive material parameters. Results: The absence of any damages to muscle and collagen fibres, which only compacted after mechanical tests, was demonstrated. The experimental tests (ring and membrane flexion tests) showed non-linearity for material and geometry and the viscoelastic behaviour of the native porcine ureter. Computational models were descriptive of the mechanical behaviour ureteral tissue, and the material model feasible. Discussion: This analysis will be useful for future comparison with decellularized tissue for the evaluation of the aggression of cell removal and its effect on microstructure. The computational model could lay the basis for a reliable tool for the prediction of solicitation in the case of tubular substitutions in subsequent simulations., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Casarin, Toniolo, Todesco, Carniel, Astolfi, Morlacco and Moro.)
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- 2024
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39. Hybrid Materials for Vascular Applications: A Preliminary In Vitro Assessment.
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Todesco M, Casarin M, Sandrin D, Astolfi L, Romanato F, Giuggioli G, Conte F, Gerosa G, Fontanella CG, and Bagno A
- Abstract
The production of biomedical devices able to appropriately interact with the biological environment is still a great challenge. Synthetic materials are often employed, but they fail to replicate the biological and functional properties of native tissues, leading to a variety of adverse effects. Several commercial products are based on chemically treated xenogeneic tissues: their principal drawback is due to weak mechanical stability and low durability. Recently, decellularization has been proposed to bypass the drawbacks of both synthetic and biological materials. Acellular materials can integrate with host tissues avoiding/mitigating any foreign body response, but they often lack sufficient patency and impermeability. The present paper investigates an innovative approach to the realization of hybrid materials that combine decellularized bovine pericardium with polycarbonate urethanes. These hybrid materials benefit from the superior biocompatibility of the biological tissue and the mechanical properties of the synthetic polymers. They were assessed from physicochemical, structural, mechanical, and biological points of view; their ability to promote cell growth was also investigated. The decellularized pericardium and the polymer appeared to well adhere to each other, and the two sides were distinguishable. The maximum elongation of hybrid materials was mainly affected by the pericardium, which allows for lower elongation than the polymer; this latter, in turn, influenced the maximum strength achieved. The results confirmed the promising features of hybrid materials for the production of vascular grafts able to be repopulated by circulating cells, thus, improving blood compatibility.
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- 2024
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40. Diagnostic, Prognostic, and Therapeutic Role for Angiogenesis Markers in Head and Neck Squamous Cell Carcinoma: A Narrative Review.
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Alessandrini L, Astolfi L, Daloiso A, Sbaraglia M, Mondello T, Zanoletti E, Franz L, and Marioni G
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- Humans, Squamous Cell Carcinoma of Head and Neck therapy, Squamous Cell Carcinoma of Head and Neck drug therapy, Angiogenesis Inhibitors therapeutic use, Prognosis, Carcinoma, Squamous Cell therapy, Carcinoma, Squamous Cell drug therapy, Head and Neck Neoplasms therapy, Head and Neck Neoplasms drug therapy
- Abstract
Despite refinements to diagnostic and therapeutic approaches over the last two decades, the outcome of patients with head and neck squamous cell carcinoma (HNSCC) has not shown substantial improvements, especially regarding those with advanced-stage disease. Angiogenesis is believed to be a turning point in the development of solid tumors, being a premise for mass growth and potential distant dissemination. Cancer-induced angiogenesis is a result of increased expression of angiogenic factors, decreased expression of anti-angiogenic factors, or a combination of both. The assessment of angiogenesis has also emerged as a potentially useful biological prognostic and predictive factor in HNSCC. The aim of this review is to assess the level of current knowledge on the neo-angiogenesis markers involved in the biology, behavior, and prognosis of HNSCC. A search (between 1 January 2012 and 10 October 2022) was run in PubMed, Scopus, and Web of Science electronic databases. After full-text screening and application of inclusion/exclusion criteria, 84 articles are included. The current knowledge and debate on angiogenesis in HNSCC presented in the eligible articles are stratified as follows: (i) diagnostic markers; (ii) prognostic markers; (iii) predictive markers; and (iv) markers with a potential therapeutic role. Angiogenesis is a biological and pathological indicator of malignancies progression and has negative implications in prognosis of some solid tumors; several signals capable of tripping the "angiogenic switch" have also been identified in HNSCC. Although several studies suggested that antiangiogenic agents might be a valuable adjunct to conventional chemo-radiation of HNSCC, their long-term therapeutic value remains uncertain. Further investigations are required on combinations of antiangiogenic agents with conventional chemotherapeutic ones, immunotherapeutic and molecularly targeted agents in HNSCC. Additional data are necessary to pinpoint which patients could benefit most from these treatments., Competing Interests: The authors declare no conflict of interest.
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- 2023
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41. Tumor Microenvironment in Sporadic Vestibular Schwannoma: A Systematic, Narrative Review.
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Cazzador D, Astolfi L, Daloiso A, Tealdo G, Simoni E, Mazzoni A, Zanoletti E, and Marioni G
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- Humans, Ecosystem, Treatment Outcome, Tumor Burden, Tumor Microenvironment, Neuroma, Acoustic genetics, Neuroma, Acoustic pathology
- Abstract
Although diagnosis and treatment of vestibular schwannomas (VSs) improved in recent years, no factors have yet been identified as being capable of predicting tumor growth. Molecular rearrangements occur in neoplasms before any macroscopic morphological changes become visible, and the former are the underlying cause of disease behavior. Tumor microenvironment (TME) encompasses cellular and non-cellular elements interacting together, resulting in a complex and dynamic key of tumorigenesis, drug response, and treatment outcome. The aim of this systematic, narrative review was to assess the level of knowledge on TME implicated in the biology, behavior, and prognosis of sporadic VSs. A search (updated to November 2022) was run in Scopus, PubMed, and Web of Science electronic databases according to the PRISMA guidelines, retrieving 624 titles. After full-text evaluation and application of inclusion/exclusion criteria, 37 articles were included. VS microenvironment is determined by the interplay of a dynamic ecosystem of stromal and immune cells which produce and remodel extracellular matrix, vascular networks, and promote tumor growth. However, evidence is still conflicting. Further studies will enhance our understanding of VS biology by investigating TME-related biomarkers able to predict tumor growth and recognize immunological and molecular factors that could be potential therapeutic targets for medical treatment.
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- 2023
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42. Detection of Lymphatic Vessels in the Superficial Fascia of the Abdomen.
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Albertin G, Astolfi L, Fede C, Simoni E, Contran M, Petrelli L, Tiengo C, Guidolin D, De Caro R, and Stecco C
- Abstract
Recently, the superficial fascia has been recognized as a specific anatomical structure between the two adipose layers-the superficial adipose tissue (SAT) and the deep adipose tissue (DAT). The evaluation of specific characteristics of cells, fibers, blood circulation, and innervation has shown that the superficial fascia has a clear and distinct anatomical identity, but knowledge about lymphatic vessels in relation to the superficial fascia has not been described. The aim of this study was to evaluate the presence of lymphatic vessels in the hypodermis, with a specific focus on the superficial fascia and in relation to the layered subdivision of the subcutaneous tissue into SAT and DAT. Tissue specimens were harvested from three adult volunteer patients during abdominoplasty and stained with D2-40 antibody for the lymphatic endothelium. In the papillary dermis, a huge presence of lymphatic vessels was highlighted, parallel to the skin surface and embedded in the loose connective tissue. In the superficial adipose tissue, thin lymphatic vessels (mean diameter of 11.6 ± 7.71 µm) were found, close to the fibrous septa connecting the dermis to the deeper layers. The deep adipose tissue showed a comparable overall content of lymphatic vessels with respect to the superficial layer; they followed the blood vessel and had a larger diameter. In the superficial fascia, the lymphatic vessels showed higher density and a larger diameter, in both the longitudinal and transverse directions along the fibers, as well as vessels that intertwined with one another, forming a rich network of vessels. This study demonstrated a different distribution of the lymphatic vessels in the various subcutaneous layers, especially in the superficial fascia, and the demonstration of the variable gauge of the vessels leads us to believe that they play different functional roles in the collection and transport of interstitial fluid-important factors in various surgical and rehabilitation fields.
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- 2023
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43. Multi-modal and multi-subject modular organization of human brain networks.
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Puxeddu MG, Faskowitz J, Sporns O, Astolfi L, and Betzel RF
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- Humans, Brain Mapping, Cognition, Aging, Magnetic Resonance Imaging, Nerve Net diagnostic imaging, Brain
- Abstract
The human brain is a complex network of anatomically interconnected brain areas. Spontaneous neural activity is constrained by this architecture, giving rise to patterns of statistical dependencies between the activity of remote neural elements. The non-trivial relationship between structural and functional connectivity poses many unsolved challenges about cognition, disease, development, learning and aging. While numerous studies have focused on statistical relationships between edge weights in anatomical and functional networks, less is known about dependencies between their modules and communities. In this work, we investigate and characterize the relationship between anatomical and functional modular organization of the human brain, developing a novel multi-layer framework that expands the classical concept of multi-layer modularity. By simultaneously mapping anatomical and functional networks estimated from different subjects into communities, this approach allows us to carry out a multi-subject and multi-modal analysis of the brain's modular organization. Here, we investigate the relationship between anatomical and functional modules during resting state, finding unique and shared structures. The proposed framework constitutes a methodological advance in the context of multi-layer network analysis and paves the way to further investigate the relationship between structural and functional network organization in clinical cohorts, during cognitively demanding tasks, and in developmental or lifespan studies., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2022
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44. Liquid Crystalline Nanoparticles Conjugated with Dexamethasone Prevent Cisplatin Ototoxicity In Vitro.
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Valente F, Simoni E, Gentilin E, Martini A, Zanoletti E, Marioni G, Nicolai P, and Astolfi L
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- Humans, Cisplatin toxicity, Dexamethasone pharmacology, Ototoxicity, Nanoparticles chemistry, Liquid Crystals
- Abstract
The conjugation of drugs with nanoparticles represents an innovative approach for controlled and targeted administration of therapeutic agents. Nanoparticle-based systems have been tested for the inner ear therapy, increasing the drug diffusion and being detected in all parts of the cochlea when locally applied near the round window. In this study, glycerol monooleate liquid crystalline NanoParticles were conjugated with Dexamethasone (NPD), a hydrophobic drug already used for inner ear treatments but defective in solubility and bioavailability. NPD has been tested in vitro in the cell line OC-k3, a model of sensory cells of the inner ear, and the therapeutic efficacy has been evaluated against cisplatin, a chemotherapeutic compound known to induce ototoxicity. After comparing the physical chemical characteristics of NPD to the equivalent naïve nanoparticles, an initial investigation was carried out into the nanoparticle's uptake in OC-k3 cells, which takes place within a few hours of treatment without causing toxic damage up to a concentration of 50 µg/mL. The NPD delivered the dexamethasone inside the cells at a significantly increased rate compared to the equivalent free drug administration, increasing the half-life of the therapeutic compound within the cell. Concerning the co-treatment with cisplatin, the NPD significantly lowered the cisplatin cytotoxicity after 48 h of administration, preventing cell apoptosis. To confirm this result, also cell morphology, cell cycle and glucocorticoids receptor expression were investigated. In conclusion, the NPD system has thus preliminarily shown the potential to improve the therapeutic efficacy of treatments delivered in the inner ear and prevent drug-induced ototoxicity.
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- 2022
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45. Global Association of COVID-19 Pandemic Measures with Cancer Treatment: A Systematic Review and Meta-Analysis.
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Teglia F, Angelini M, Casolari G, Astolfi L, and Boffetta P
- Abstract
Importance: The COVID-19 pandemic has put a serious strain on health services, including cancer treatment., Objective: This study aimed to investigate the changes in cancer treatment worldwide during the first phase of the SARS-CoV-2 outbreak., Data Sources: Pubmed, Proquest, and Scopus databases were searched comprehensively for articles published between 1 January 2020 and 12 December 2021, in order to perform a systematic review and meta-analysis conducted following the PRISMA statement., Study Selection: Studies and articles that reported data on the number of or variation in cancer treatments between the pandemic and pre-pandemic periods, comprising oncological surgery, radiotherapy, and systemic therapies, were included., Data Extraction and Synthesis: Data were extracted from two pairs of independent reviewers. The weighted average of the percentage variation was calculated between the two periods to assess the change in the number of cancer treatments performed during the pandemic. Stratified analyses were performed by type of treatment, geographic area, time period, study setting, and type of cancer., Results: Among the 47 articles retained, we found an overall reduction of -18.7% (95% CI, -24.1 to -13.3) in the total number of cancer treatments administered during the COVID-19 pandemic compared to the previous periods. Surgical treatment had a larger decrease compared to medical treatment (-33.9% versus -12.6%). For all three types of treatments, we identified a U-shaped temporal trend during the entire period January-October 2020. Significant decreases were also identified for different types of cancer, in particular for skin cancer (-34.7% [95% CI, -46.8 to -22.5]) and for all geographic areas, in particular, Asia (-42.1% [95% CI, -49.6 to -34.7])., Conclusions and Relevance: The interruption, delay, and modifications to cancer treatment due to the COVID-19 pandemic are expected to alter the quality of care and patient outcomes.
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- 2022
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46. Erratum: miR-199a-3p increases the anti-tumor activity of palbociclib in liver cancer models.
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Callegari E, Guerriero P, Bassi C, D'Abundo L, Frassoldati A, Simoni E, Astolfi L, Silini EM, Sabbioni S, and Negrini M
- Abstract
[This corrects the article DOI: 10.1016/j.omtn.2022.07.015.]., (© 2022 The Author(s).)
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- 2022
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47. Novel POU3F4 variants identified in patients with inner ear malformations exhibit aberrant cellular distribution and lack of SLC6A20 transcriptional upregulation.
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Bernardinelli E, Roesch S, Simoni E, Marino A, Rasp G, Astolfi L, Sarikas A, and Dossena S
- Abstract
Hearing loss (HL) is the most common sensory defect and affects 450 million people worldwide in a disabling form. Pathogenic sequence alterations in the POU3F4 gene, which encodes a transcription factor, are causative of the most common type of X-linked deafness (X-linked deafness type 3, DFN3, DFNX2). POU3F4-related deafness is characterized by a typical inner ear malformation, namely an incomplete partition of the cochlea type 3 (IP3), with or without an enlargement of the vestibular aqueduct (EVA). The pathomechanism underlying POU3F4-related deafness and the corresponding transcriptional targets are largely uncharacterized. Two male patients belonging to a Caucasian cohort with HL and EVA who presented with an IP3 were submitted to genetic analysis. Two novel sequence variants in POU3F4 were identified by Sanger sequencing. In cell-based assays, the corresponding protein variants (p.S74Afs*8 and p.C327*) showed an aberrant expression and subcellular distribution and lack of transcriptional activity. These two protein variants failed to upregulate the transcript levels of the amino acid transporter gene SLC6A20 , which was identified as a novel transcriptional target of POU3F4 by RNA sequencing and RT-qPCR. Accordingly, POU3F4 silencing by siRNA resulted in downregulation of SLC6A20 in mouse embryonic fibroblasts. Moreover, we showed for the first time that SLC6A20 is expressed in the mouse cochlea, and co-localized with POU3F4 in the spiral ligament. The findings presented here point to a novel role of amino acid transporters in the inner ear and pave the way for mechanistic studies of POU3F4-related HL., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Bernardinelli, Roesch, Simoni, Marino, Rasp, Astolfi, Sarikas and Dossena.)
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- 2022
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48. miR-199a-3p increases the anti-tumor activity of palbociclib in liver cancer models.
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Callegari E, Guerriero P, Bassi C, D'Abundo L, Frassoldati A, Simoni E, Astolfi L, Silini EM, Sabbioni S, and Negrini M
- Abstract
Palbociclib is in early-stage clinical testing in advanced hepatocellular carcinoma (HCC). Here, we investigated whether the anti-tumor activity of palbociclib, which prevents the CDK4/6-mediated phosphorylation of RB1 but simultaneously activates AKT signaling, could be improved by its combination with a PI3K/AKT/mTOR inhibitor in liver cancer models. The selective pan-AKT inhibitor, MK-2206, or the microRNA-199a-3p were tested in combination with palbociclib in HCC cell lines and in the TG221 HCC transgenic mouse model. The combination palbociclib/MK-2206 was highly effective, but too toxic to be tolerated by mice. Conversely, the combination miR-199a-3p mimics/palbociclib not only induced a complete or partial regression of tumor lesions, but was also well tolerated. After 3 weeks of treatment, the combination produced a significant reduction in number and size of tumor nodules in comparison with palbociclib or miR-199a-3p mimics used as single agents. Moreover, we also reported the efficacy of this combination against sorafenib-resistant cells in vitro and in vivo . At the molecular level, the combination caused the simultaneous decrease of the phosphorylation of both RB1 and of AKT. Our findings provide pre-clinical evidence for the efficacy of the combination miR-199a-3p/palbociclib as anti-HCC treatment or as a new approach to overcome sorafenib resistance., Competing Interests: The authors declare no competing interests., (© 2022 The Authors.)
- Published
- 2022
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49. Temporal Bone Squamous Cell Carcinoma: Molecular Markers Involved in Carcinogenesis, Behavior, and Prognosis: A Systematic Review.
- Author
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Alessandrini L, Astolfi L, Franz L, Gentilin E, Mazzoni A, Zanoletti E, and Marioni G
- Subjects
- Biomarkers, Carcinogenesis pathology, Humans, Prospective Studies, Retrospective Studies, Temporal Bone pathology, Carcinoma, Squamous Cell diagnosis, Carcinoma, Squamous Cell genetics, Neoplasm Recurrence, Local pathology
- Abstract
Temporal bone squamous cell carcinoma (TBSCC) is an uncommon malignancy with a poor prognosis in advanced cases. The dismal outcome of advanced TBSSC cases is largely due to the cancer's local aggressiveness and the complex anatomy of this region, as well as to persistent pitfalls in diagnosis and treatment. Molecular changes occur in malignancies before any morphological changes become visible, and are responsible for the disease's clinical behavior. The main purpose of this critical systematic review is to assess the level of knowledge on the molecular markers involved in the biology, behavior, and prognosis of TBSCC. A search (updated to March 2022) was run in PubMed, Scopus, and Web of Science electronic databases without publication date limits for studies investigating molecular markers in cohorts of patients with primary TBSCC. The search terms used were: "temporal bone" OR "external auditory canal" OR "ear", AND "cancer" OR "carcinoma" OR "malignancy". We preliminarily decided not to consider series with less than five cases. Twenty-four case series of TBSCC were found in which different analytical techniques had been used to study the role of several biomarkers. In conclusion, only very limited information on the prognostic role of molecular markers in TBSCC are currently available; prospective, multi-institutional, international prognostic studies should be planned to identify the molecular markers involved in the clinical behavior and prognosis of TBSCC. A further, more ambitious goal would be to find targets for therapeutic agents able to improve disease-specific survival in patients with advanced TBSCC.
- Published
- 2022
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50. Neuron Compatibility and Antioxidant Activity of Barium Titanate and Lithium Niobate Nanoparticles.
- Author
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Candito M, Simoni E, Gentilin E, Martini A, Marioni G, Danti S, and Astolfi L
- Subjects
- Animals, Cell Differentiation drug effects, Cell Shape drug effects, Cell Survival, Cytochromes c metabolism, Neuronal Outgrowth drug effects, PC12 Cells, Rats, Reactive Oxygen Species metabolism, Antioxidants pharmacology, Barium Compounds pharmacology, Biocompatible Materials pharmacology, Nanoparticles chemistry, Neurons drug effects, Niobium pharmacology, Oxides pharmacology, Titanium pharmacology
- Abstract
The biocompatibility and the antioxidant activity of barium titanate (BaTiO
3 ) and lithium niobate (LiNbO3 ) were investigated on a neuronal cell line, the PC12, to explore the possibility of using piezoelectric nanoparticles in the treatment of inner ear diseases, avoiding damage to neurons, the most delicate and sensitive human cells. The cytocompatibility of the compounds was verified by analysing cell viability, cell morphology, apoptotic markers, oxidative stress and neurite outgrowth. The results showed that BaTiO3 and LiNbO3 nanoparticles do not affect the viability, morphological features, cytochrome c distribution and production of reactive oxygen species (ROS) by PC12 cells, and stimulate neurite branching. These data suggest the biocompatibility of BaTiO3 and LiNbO3 nanoparticles, and that they could be suitable candidates to improve the efficiency of new implantable hearing devices without damaging the neuronal cells.- Published
- 2022
- Full Text
- View/download PDF
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